8 min read By Rick Wong  Updated May 24, 2026

The Podcast Audience Network integration with Amazon DSP lets advertisers run targeted audio ads across premium podcast content using Amazon’s first-party shopper data, all inside the same platform used to manage display and video campaigns. 

Amazon launched this integration in the United States in January 2026, powered by Art19’s dynamic ad insertion technology. Brands can now reach podcast listeners based on real Amazon shopping behavior and track whether those listeners go on to buy on Amazon.

Amazon advertising in 2026 is more expensive and more competitive than ever. Sponsored Products alone can no longer carry your growth, and podcast advertising used to be impossible to measure. That changed in January 2026 when Amazon integrated the Podcast Audience Network into Amazon DSP. 

This guide from SellerMetrics covers how the integration works, how to target and measure it, what it costs, and how to build it into your 2026 advertising strategy.

What Is the Amazon Podcast Audience Network?

The Amazon Podcast Audience Network is Amazon’s curated collection of premium podcast inventory available to advertisers through Amazon DSP. It lets brands place audio ads inside podcast episodes at scale, using Amazon’s first-party shopper data to decide which listeners hear those ads.

The network is powered by Art19, an enterprise podcast hosting and audience intelligence platform that Amazon acquired in 2021. Art19 supports dynamic ad insertion, meaning your ad is stitched into a podcast episode at the exact moment a listener downloads or streams it. 

This is fundamentally different from baked-in ads that every listener hears, regardless of who they are or what they have been shopping for.

Here is what sets audience-level targeting apart from traditional podcast buying:

• Traditional show-level targeting: You pay for ad space on a specific podcast and hope its general audience contains your ideal customer.
• Amazon DSP audience-level targeting: You build an audience using Amazon’s shopper data, and the system finds those specific people across thousands of podcasts, regardless of which show they happen to be listening to.

This shift from broad show buys to precise audience targeting is what makes the Podcast Audience Network so meaningful for Amazon sellers who want measurable results from audio advertising.

How the Podcast Audience Network Integration with Amazon DSP Works

Before this integration, running podcast ads and running Amazon DSP campaigns meant working across separate platforms with no shared data and no unified reporting. The Podcast Audience Network integration with Amazon DSP fixes that by bringing podcast buying into the same platform used for display, video, and streaming TV.

Amazon DSP is Amazon’s programmatic media buying platform. It draws on first-party data from hundreds of millions of Amazon shoppers, including what they search for, browse, add to their cart, and ultimately buy. 

It is important to understand the difference between Amazon ads vs Amazon DSP: standard Sponsored Ads target keywords and appear inside Amazon search results, while DSP targets audiences and places ads across a far wider range of surfaces, including websites, apps, streaming TV, and now podcast audio.

Here is how the integration works in practice:

1. You log into the Amazon DSP console and select the Podcast Audience Network as an inventory source.
2. You build an audience using Amazon’s first-party shopper data, such as in-market signals, purchase history, or lifestyle segments.
3. When a listener who matches your audience plays a podcast episode, Art19’s dynamic ad insertion technology places your audio ad into that specific user’s stream.
4. If the next person downloading the same episode does not match your criteria, they hear a completely different ad.
5. The impression is logged and linked to a pseudonymized Amazon user ID, which feeds into your DSP reporting dashboard and Amazon Marketing Cloud.

This means you pay to reach the exact people you want, across thousands of podcast episodes, instead of paying for an entire show’s audience and hoping some of them are your ideal customer.

Why This Integration Matters for Amazon Sellers in 2026

Podcast listeners are one of the most valuable advertising audiences available to you right now. According to Edison Research’s Infinite Dial report, podcast listeners in the US tend to have higher household incomes, higher levels of education, and they shop online more frequently than the general population. 

They also listen actively, often through headphones during commutes or workouts, which means there is no banner to scroll past and no skip button within easy reach.

For Amazon sellers, here are the four reasons this integration changes what is possible:

1. Rising CPC costs are squeezing your margins. 

Amazon CPC online advertising costs have increased sharply across most product categories. Podcast audio ads are priced on a CPM (cost per thousand impressions) basis and currently offer a more cost-effective route to reaching a qualified audience before they reach the search bar.

2. Attribution is now accurate and trackable. 

Traditional podcast buying relied on promo codes and vanity URLs to measure results. The problem is that most listeners who hear an ad and decide to buy will search directly on Amazon rather than type in a code. 

With Amazon DSP, every audio impression is tied to an Amazon user ID. You can see whether that listener later visited your product page and made a purchase.

3. You reach buyers before they reach the search bar. 

When someone hears about your brand through a podcast and later searches for it on Amazon, that branded search costs less to convert, strengthens your organic keyword ranking, and makes your listing harder for competitors to displace. This downstream effect is known as the halo effect.

4. You can build a connected, multi-format strategy in one platform. 

Pairing podcast audio ads with Amazon sponsored product video ads, display banners, and streaming TV ads inside the same DSP campaign lets you reach buyers at multiple points in their day using a single audience data set and one reporting view.

Amazon DSP Podcast Audience Targeting Capabilities

One of the biggest strengths of the Podcast Audience Network on Amazon DSP is how deep the targeting goes. You are not selecting genres or guessing which shows your customers prefer. You are building audiences using real Amazon shopping behavior, grounded in what people actually do.

The main audience types available to you include:

• In-market audiences: Shoppers actively browsing or researching products in your category on Amazon right now.
• Lifestyle audiences: Groups defined by consistent purchasing patterns, such as regular buyers of premium fitness supplements or frequent shoppers of outdoor equipment.
• Retargeting audiences: Users who viewed your product detail page, added your product to their cart, or previously purchased from your brand.
• Lookalike audiences: People who share behavioral signals with your existing customer base.

Beyond audience type, you can also control these campaign parameters:

• Geographic targeting: Available in the United States only as of January 2026.
• Device targeting: Reach listeners on mobile, Alexa-enabled smart speakers, and connected devices where companion display banners can also appear.
• Frequency capping: Limit how many times the same listener hears your ad within a set period to avoid listener fatigue.
• Dayparting: Schedule your ads for specific times of day, such as weekday mornings when commuter listening peaks.

According to the Interactive Advertising Bureau (IAB), US podcast advertising revenue has grown consistently year over year, and advertiser interest is accelerating as attribution tools continue to improve. Amazon’s integration positions you at the front of that trend.

Audio Ad Creative Requirements and Best Practices

Precise targeting gets your ad to the right person. Strong creativity determines whether they pay attention.

The technical specifications for audio ads on the Podcast Audience Network are:

• Format: MP3 (recommended) or OGG
• Ad length: 15 seconds, 30 seconds, or 60 seconds (30 seconds is the industry standard)
• Bitrate: 128 kbps minimum
• Companion banner size: 300×250 pixels is the most common, appearing in podcast apps that support visual units alongside the audio

Because your ad is pre-recorded rather than host-read, how you write and produce it makes a significant difference. Use these best practices to improve performance:

• Open with a clear, relevant statement in the first three to five seconds. Generic openings lose listeners before the message lands.
• Focus on one specific problem your product solves. Trying to cover multiple features in 30 seconds usually results in nothing landing clearly.
• End with a simple, Amazon-specific call to action. Tell the listener exactly what to type, such as “Search for [Brand Name] on Amazon today.”
• Match the tone to the podcast format. Conversational, calm, creative outperforms aggressive, loud ad reads in podcast environments.
• Use a consistent voice, music bed, or audio element across campaigns to build audio brand recognition over time.

Companion banners give listeners a way to click through to your Amazon product listing without typing anything, so make sure each banner includes your logo, a product image, and a visible call to action.

Costs, Budgets, and the Economics of Programmatic Podcast Advertising

Understanding Amazon advertising cost structures for DSP campaigns helps you set a realistic budget from the start.

Podcast ads on Amazon DSP use a CPM pricing model. Typical CPMs for podcast inventory range from around $15 to $30 or more, depending on how specific your targeting is and what inventory is available. Narrower, more specific audiences tend to cost more per impression but deliver better-qualified listeners.

Here is what you need to know about budget expectations:

• Managed service campaigns through an Amazon Ads partner agency typically require a minimum of around $10,000 per campaign.
• Self-service via ADSP gives you more flexibility, but DSP campaigns are better suited to brands with a meaningful advertising budget already in place.
• DSP podcast ads should complement your Sponsored Products strategy, not replace it. Use audio to fill the top of the funnel while Sponsored Ads close sales at the bottom.

A practical budget approach for new DSP podcast advertisers:

1. Start with a test budget of $5,000 to $10,000 running over four to six weeks.
2. Use this period to gather audience data and identify which targeting segments generate downstream purchase activity.
3. Scale budget on segments showing detail page views, branded search lift, or new-to-brand purchases.
4. Aim to allocate DSP podcast spend at roughly 15 to 25 percent of your total Amazon advertising budget when running brand awareness campaigns.

Measuring Your Results with Amazon DSP and Amazon Marketing Cloud

Measurement has always been the biggest barrier to podcast advertising for e-commerce brands. The Podcast Audience Network integration with Amazon DSP removes that barrier in a meaningful way.

When you run podcast campaigns through Amazon DSP, every audio impression is tracked and linked to a pseudonymized Amazon user ID. That data feeds into your DSP reporting dashboard and into Amazon Marketing Cloud, giving you access to attribution insights that traditional podcast buys could never deliver.

The key metrics to monitor include:

• Reach: Total unique listeners exposed to your ad during the campaign.
• Frequency: Average number of times each listener heard your ad.
• Detail Page Views (DPV): Listeners who visited your Amazon product page after the ad.
• New-to-brand (NTB) purchases: Buyers who had not purchased from your brand before the campaign.
• Branded search lift: Increase in direct brand keyword searches on Amazon during or after your campaign.

Since podcast ads operate at the top of the funnel, do not evaluate them using the same direct-conversion benchmarks as Sponsored Ads. 

Knowing what a good ACoS on Amazon is matters for your Sponsored Ads management, but for full-funnel campaigns that include podcast DSP spend, what is a good TACoS on Amazon is the right metric because it accounts for organic sales growth driven by brand awareness activity. Your Amazon click-through rate on companion banners also indicates how well your creative and targeting are working together.

For deeper cross-channel analysis, Amazon Marketing Cloud (AMC) is the most powerful tool available. Inside AMC, you can map the full customer journey from first audio impression to final purchase, compare conversion rates between listeners and non-listeners, and calculate the true incremental revenue your podcast campaign generated. 

This level of attribution turns audio from a brand awareness exercise into an accountable performance channel.

How to Set Up a Podcast Audience Network Campaign in Amazon DSP

You can access the Podcast Audience Network through the Amazon DSP console as a self-service advertiser or through an approved Amazon Ads partner agency. Here is a step-by-step overview of the setup process:

1. Log in to the Amazon DSP console. If you do not have ADSP access, work through an approved Amazon Ads agency.
2. Create a new Order. This is the campaign-level container. Set your campaign name, flight dates, and overall budget.
3. Add a Line Item. This is where you set your audience, supply source, bid, and creative.
4. Select Podcast Audience Network as your supply source. This restricts your delivery to podcast inventory only.
5. Build your audience. Choose your targeting type and layer behavioral signals to tighten your audience.
6. Set your CPM bid and frequency cap. Decide how much you will pay per 1,000 impressions and how often each listener hears your ad per week.
7. Upload your audio creative and companion banner. Confirm both meet the technical specs before uploading.
8. Configure attribution settings. A 14-day view-through attribution window is the standard for awareness campaigns.
9. Launch and allow the campaign time to deliver. Wait at least seven to fourteen days before reviewing results. Audio campaigns need frequency to build before behavioral shifts appear in your data.

Common Mistakes to Avoid in Amazon DSP Podcast Campaigns

Even with the right setup, certain decisions can reduce your results significantly. These are the most common mistakes and how to avoid them:

• Reviewing performance too early. Podcast advertising shifts behavior over time. Evaluate results after a minimum of eight weeks, not after the first week of delivery.
• Targeting too broadly. A large audience does not mean a better campaign. Use Amazon’s data to keep your targeting relevant to your specific product and customer.
• Ignoring frequency capping. Without a cap, the same listener may hear your ad several times a day, creating irritation rather than brand recall.
• Using weak creative. Flat, generic audio will not perform regardless of how precise your targeting is. Write a focused, conversational script that leads with a clear benefit.
• Skipping Amazon Marketing Cloud. Without AMC, you only see a portion of the picture. The real value of podcast advertising often shows up in cross-channel data, where audio exposure connects to downstream search and purchase conversions.

Conclusion: Build Your Brand Before the Search Bar

The Podcast Audience Network integration with Amazon DSP is one of the most significant advertising developments for US Amazon sellers in recent years. It connects podcast audio’s engagement and reach with Amazon’s first-party shopper data and full attribution capability, giving you a way to reach buyers before they ever open the Amazon app and track whether they go on to buy.

CPMs for podcast inventory are currently more affordable than search and video placements. Attribution that once made audio advertising impossible to justify is now fully trackable. And the halo effect of brand awareness campaigns on branded search and organic rankings means the value extends far beyond direct clicks.

This is not a replacement for Sponsored Products. It fills the top of the funnel, warms up your audience, and makes your lower-funnel ads more efficient over time. If you want expert help building and running a full-funnel strategy that includes DSP podcast advertising, explore Amazon Advertising Management with SellerMetrics and start growing beyond the search results page.

FAQ: Podcast Audience Network integration

The post Podcast Audience Network Integration with Amazon DSP: What Amazon Sellers Need to Know in 2026 appeared first on SellerMetrics.

8 min read By Rick Wong  Updated May 24, 2026

Amazon Creative Agent is a free, AI-powered tool built inside Amazon’s Creative Studio. It works through a simple chat interface and guides you through the full ad creation process, from researching your brand and product to delivering finished video and display ads.  

The tool draws on Amazon’s first-party retail data and requires no design skills to use. It is available to advertisers in the US, UK, Canada, Germany, France, Italy, Spain, and China via the Amazon Ads console. 

For most small and mid-sized brands, running professional Amazon ads has always meant spending tens of thousands of dollars on agencies, video shoots, and lifestyle photography. Amazon Creative Agent removes that barrier entirely by putting a full creative workflow inside your Amazon Ads console at no extra cost.  

This guide covers what the tool does, how to use it step by step, what results you can expect, and how it fits into a complete advertising strategy, with help from the team at SellerMetrics. 

What Is Amazon Creative Agent?

Amazon Creative Agent is an agentic AI tool embedded inside Amazon Creative Studio, which you access directly through your Amazon Ads console. Unlike a standard image generator or template builder, it acts as a full creative partner.  

You give it your product information and campaign goals, and it handles research, concept development, scriptwriting, image generation, and final ad production, all inside a single chat interface. 

What makes this different from Amazon’s earlier tools is the depth of the workflow it manages. Tools like Image Generator produce one output when you provide one input.  

Creative Agent runs the entire creative process. It reviews your product detail page, analyzes your brand, considers audience data, and then presents you with a range of ad concepts, complete with taglines and creative rationale, before you choose a direction. 

Amazon built Creative Agent on AWS technology using a combination of Amazon Nova foundation models and Anthropic Claude. These models work together to give the tool strong research and reasoning capabilities alongside high-quality visual and text generation.  

Because the tool connects to Amazon’s own first-party retail data, its creative decisions are grounded in real shopper behavior, not generic patterns from a public training set. 

As confirmed by the Amazon Ads official announcement, Creative Agent is available at no additional cost to advertisers with an active Amazon Ads account. 

Creative Agent vs. the Broader Amazon Creative Studio Ecosystem

Before diving deeper into Creative Agent specifically, it helps to understand where it sits within Amazon’s wider suite of AI creative tools. Here is how each tool breaks down: 

The key distinction is that Image Generator, Video Generator, and Audio Generator are standalone asset tools. Creative Agent is the agentic layer on top of all of them. It can call on any of those tools during the creative process, orchestrate the full workflow, and deliver a complete campaign from a single conversation.  

Amazon launched Creative Studio in October 2024 as the centralized home for all of these capabilities, and Creative Agent became the most advanced feature within that system. 

How Amazon Creative Agent Works: A Step-by-Step Breakdown

Using Creative Agent follows a clear and repeatable process. Here is how each stage works from start to finish: 

Step 1: Open a Chat in Creative Studio 

Log in to your Amazon Ads console, navigate to Creative Studio, and click the “Chat” button. The conversational interface opens immediately. You do not need any design training or technical skills to get started. 

Step 2: Share Your Brand and Product Information 

Creative Agent asks you to provide your product detail page URLs, brand guidelines, target audiences, and any existing brand materials such as previous ads or logo files. It also pulls information directly from your Amazon listings, Brand Store, and website on its own. 

Step 3: Research and Concept Development 

Using Amazon’s retail and shopper signals, the tool researches your product’s key features and competitive landscape. It then presents several ad concepts, each with a proposed tagline and an explanation of the creative logic behind it. You can select the one that fits your goals, request adjustments to a concept, or ask the tool to start fresh with entirely new options. 

Step 4: Storyboard Creation and Refinement 

Once you choose a concept, Creative Agent builds a scene-by-scene storyboard with scripts and visuals. You can give specific feedback at any point through the chat. If you want a different setting, a shorter tagline, or a tone adjustment, you tell the tool, and it revises immediately. 

Step 5: Final Ad Production 

Creative Agent generates your finished assets. Depending on your campaign goals, these can include multi-scene video, display ads, animations, voiceovers, and music. Every asset requires your explicit approval before it goes anywhere near a live campaign. 

One important feature that sets Creative Agent apart is that it explains its reasoning at each stage. It shows you why it chose a particular creative direction, which tools it used, and how it plans to execute each step. This transparency makes it far easier to give focused feedback and stay in control throughout the process. 

What Ad Formats Does Amazon Creative Agent Support?

Creative Agent produces ready-to-deploy assets across a wide range of Amazon advertising placements. Here is the full list of formats it supports: 

• Sponsored Brands: video and banner creative for Amazon search results pages 

• Sponsored Brands Video: in-feed video ads displayed on Amazon search pages 

• Sponsored Display: display ads that appear across Amazon and on third-party websites 

• Amazon DSP: programmatic display and online video for both Amazon-owned and external placements 

• Streaming TV (STV): full-screen video ads on Prime Video and Fire TV 

• Brand Stores: creative assets to refresh and update your storefront pages 

This range of formats means you can use Creative Agent to build a full-funnel campaign, from awareness-stage streaming TV ads through to lower-funnel retargeting on Sponsored Display.  

According to Amazon’s unBoxed 2025 update, streaming TV support was added to Creative Agent as part of the tool’s expansion, making it one of the most complete AI creative tools available on any advertising platform.  

If you have been wanting to explore Amazon sponsored product video ads but found the production cost too high, Creative Agent makes it a realistic option for brands of almost any size. 

Amazon Creative Agent Performance: What the Numbers Show

The performance case for using AI-powered creative on Amazon is backed by solid data from Amazon’s own research. Here are the key figures: 

• Advertisers using AI-generated images on Sponsored Brands campaigns see an average +10.3% improvement in ROAS compared to campaigns without AI-generated images, according to Amazon’s internal US data from April to June 2025. 

• Brands using Amazon’s AI creative tools advertised five times more products and used twice as many images per advertised product on average, compared to brands that did not use these tools. 

• Advertisers who adopted the Sponsored Brands Image Generator saw an average 10% increase in sales per advertiser within one month of adoption, per Amazon Ads data. 

• As reported by AdExchanger at the Creative Agent launch, Amazon Ads VP Jay Richman stated that advertisers using AI creative tools see an average 12% increase in sales. 

Your Amazon Click Through Rate is one of the most direct performance signals Amazon’s algorithm uses to measure ad relevance. When CTR improves, Amazon rewards your ads with better placements and, over time, this can also lower your cost per click because Amazon’s ad auction favors high-performing ads.  

The downstream impact on your Amazon conversion rate by category is just as significant. Lifestyle imagery and video creative do not just attract more clicks; they also help shoppers feel confident about what they are buying, which translates directly into better conversion. 

Amazon Creative Agent vs. Competing AI Ad Tools

Amazon is not the only platform offering AI-powered creative tools. Meta and Google both have their own versions. Here is how they compare for sellers focused on the Amazon marketplace: 

As Marketing Dive reported at the time of the Creative Agent launch, Amazon positioned the tool specifically as a democratizing solution for small and mid-market brands that could not previously afford professional ad production.  

Creative Agent’s standout advantage over Meta Advantage+ and Google Performance Max is its access to Amazon’s proprietary purchase data from over 300 million active customers. No external tool can replicate this.  

While Meta and Google optimize creative for their own ecosystems, Creative Agent is built from the ground up to drive performance within the Amazon marketplace. 

Who Should Use Amazon Creative Agent?

Creative Agent is designed to be accessible to all types of sellers, but some will benefit from it more immediately than others. Here are the groups that stand to gain the most: 

• Small and mid-sized brands without the budget for professional creative agencies or dedicated video production 

• Sellers scaling into new ad formats such as Sponsored Brands Video, DSP, or Streaming TV for the first time 

• Brands managing ad fatigue that need to rotate creative regularly to keep CTR strong 

• Sellers launching new products who need a fast, polished campaign without a long production timeline 

• Agencies and brand managers who want to prototype and test multiple campaign concepts quickly 

• Vendors and KDP authors looking to expand their presence across Amazon’s media network 

If you are already working on your Amazon Listing Optimization Services, Creative Agent pairs directly with that investment. The tool pulls content from your product detail page, so a well-written and fully optimized listing gives it stronger material to work from.  

Connecting strong creatives to solid Amazon SEO Services also creates a compounding effect: better ads drive more engagement signals, which can reinforce your organic ranking over time. 

How to Get the Best Results from Amazon Creative Agent

Creative Agent produces better output when you give it a strong foundation to work from. Here are the most effective practices to follow: 

1. Optimize Your Listing Before You Start 

Creative Agent draws from your product detail page. A listing with clear, keyword-rich copy, strong images, and A+ Content gives the tool much stronger source material. Investing in Amazon Listing Optimization Services before you use Creative Agent directly improves the quality of what it generates. 

2. Upload Your Brand Kit 

Use the Brand Assets section inside Creative Studio to upload your logo, hex color codes, and brand fonts. The tool will prioritize these elements when building your assets, which keeps your visual identity consistent across campaigns. 

3. Write Specific, Detailed Prompts 

Vague input produces generic output. Instead of saying “make it look premium,” try “use a warm kitchen setting with natural morning light, product centered on a marble countertop, and a calm, confident tone.” The more specific your direction, the more on-brand the result will be. 

4. Generate Multiple Concepts and A/B Test Them 

Creative Agent offers several concept options per session. Use Amazon’s Manage Your Experiments tool to run A/B tests across two or three concepts. Run tests for at least four to six weeks to collect results that are statistically reliable. 

5. Refresh Creative Every Four to Six Weeks 

Ad fatigue causes performance to decline on even the strongest campaigns. Creative Agent’s speed gives you a real advantage here. Use it to rotate fresh creative regularly on your highest-spend campaigns. 

6. Review Every Asset Before Launch 

Creative Agent produces strong output, but you should manually check every asset for accuracy, brand consistency, and compliance with Amazon’s advertising policies before any ad goes live. You remain the advertiser of record regardless of how the creative was produced. 

What an Amazon Creative Agent Cannot Do

Understanding the limitations of Creative Agent helps you use it with the right expectations. Here is what it does not handle: 

• Bid and budget management. Creative Agent is a creative production tool only. Campaign structure, keyword targeting, and bid strategy all still require human decision-making or a dedicated optimization tool. 

• Complete global availability is yet to come. While Creative Agent is now live in eight markets, including the US, UK, Canada, Germany, France, Italy, Spain, and China, it is not yet available in all Amazon advertising markets worldwide. 

• Guaranteed brand accuracy without review. The AI can occasionally misinterpret subtle brand guidelines, particularly around tone, specific visual style, or niche product details. Human review before launch remains essential. 

• Campaign strategy and keyword research. Creative Agent cannot evaluate your keyword mix, assess your competitive positioning, or advise on budget allocation across your funnel. That still requires specialist knowledge. 

• Error-free output every time. As Marketing Dive noted, AI-generated visuals can occasionally include inaccuracies or inconsistencies. Amazon has committed to improving the tool continuously, but your review step is non-negotiable. 

How Amazon Creative Agent Fits into Your Broader Amazon Strategy

Creative Agent works best as one part of a complete advertising system, not as a standalone fix. Great creative improves your CTR and conversion signals, but those gains only compound when the rest of your advertising strategy is sound. 

You need strong keyword targeting to make sure the right shoppers see your ads. You need well-structured campaigns to allocate budget efficiently. And you need a listing that converts the traffic your ads send.  

If you are using ChatGPT Amazon listing optimization to sharpen your product copy or building visibility through Amazon Rufus optimization strategies to align your listings with AI-driven search behavior, Creative Agent connects naturally to those efforts as the creative production layer. 

Effective Amazon Advertising Management is what links great creative to consistent sales growth. Think of Creative Agent as solving the production problem. Bid management, search term strategy, negative keyword management, and performance analysis form the strategic layer that determines whether your creative actually converts into revenue. 

As Digiday noted in its analysis of Amazon’s AI-driven ad system, agencies and specialist partners are not being displaced by these tools. They are shifting focus from production execution to strategy and counsel. The sellers getting the strongest results are those who combine AI-speed creative with expert-level campaign management behind it. 

Conclusion: Pair Creative Agent with a Smarter Amazon Strategy

Amazon Creative Agent removes one of the most persistent barriers that smaller brands have faced on Amazon: the cost and complexity of professional ad creative. It gives you the ability to produce video, display, and audio ads that once required an agency or a production studio, at no additional cost to you. 

But when every seller gains access to the same tools, the advantage goes to those who use them most strategically. That means optimizing your listings first, testing multiple creative concepts, reviewing every asset before it goes live, and building the right campaign architecture to support what the creative does. 

If you want to combine the speed of Amazon’s AI creative tools with expert campaign management that drives real growth, SellerMetrics is here to help. Our team works with Amazon brands to build advertising strategies that turn strong creative into profitable sales.  

Book a free strategy session today and discover how a data-driven approach to Amazon advertising can move the needle for your business.

FAQ: Amazon Creative Agent for SMB Ad Creative

The post Amazon Creative Agent: The Complete Guide for Amazon Advertisers appeared first on SellerMetrics.

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Amazon PPC advertising has come a long way over the years. It was at one point only available on Amazon.com, and there was only Sponsored Product available. Ahh, the good ol’ days!

Fast forward today, we have 14 different marketplaces where Amazon PPC is supported and three different Amazon PPC Ad types (Sponsored Product/Sponsored Brands/Sponsored Display) plus Amazon DSP. With much slew of new features and marketplace using Amazon PPC, sellers are always looking for Amazon PPC software that can save them both time and money. Therefore, it is important that Amazon sellers find the right software for them to scale their business without scaling costs.

What is the right Amazon PPC software for one situation might not be right for the other, so to examine the best Amazon PPC software we will get into the details and evaluate each software based on the following criteria and features:

Reviewed Features

Reporting and Analytics

Report on the performance of your Amazon PPC advertising by Campaign, Adgroup, and Targets.

Bid Automation

Able to automatically adjust bids for keywords and PAT based on a user define ACoS or RoAS.

Search Term and Negative Search Term Harvesting

Can trigger a list of search terms or ASINs based on user-defined rules. To be added as a new target or a negative to the Amazon advertising account campaign/ad group either automatically or pushed by the user via the software.

Manual Bulk Optimization

Able to make manual bulk changes to either the bid or status in an efficient way.

Dayparting

A function that can turn off and on a campaign based on user-define time of day and day of the week.

Supported Marketplaces

Able to support the numerous marketplaces that are available on the Amazon advertising platform.

Supported Ad Types (SP/SBV/SB/SD)

Does the automation or manual optimization functions support all of the Amazon ad types and their corresponding target types?

Ease of Use

Initial UI/UX experience as well potential learning curve of onboarding the Amazon PPC Software.

Price

What is the pricing structure? Does it charge by % of ad spend or on a per account/marketplace basis? Is the structure transparent?

Hero Feature

Features and functions that are unique and innovative in the Amazon PPC software market.

A note on AI Powered Amazon PPC Software

Before we begin the reviews, I do want to address the use of AI/ML in the Amazon PPC space.

I do have a bit of a background in data analytics. This experience does give me some insight into the AI/Machine Learning field. I probably don’t have the ability to build a model from scratch, though most use AWS Sagewaver and Google Tensorflow anyways, I do know enough about the limitations of these models.

I want to write this section because it seems like AI/Machine Learning feature is all the rage. With some Amazon PPC software marketing this heavily as their key features. The basic premise of all AI/ML models is garbage in and garbage out, this phrase basically means that the predictive ability of the AI/ML models is hugely dependent on the data is coming in.

It is also not only the quality of the data but also the quantity of the data. AI/ML models require large amounts of data to find patterns that humans cannot find. Thus, low quantity of data is a fundamental issue as to why AI-Powered Amazon PPC software is not as effective as they appear if you are a new client with any Amazon PPC software, the vendor is limited to see only 60 days of Amazon advertising data from your account, and that is not even nearly enough data.

So how much data is enough?

So how much data is enough? Well, there is never enough data, but if I were to say at what point AI/ML models can start making an accurate suggestion for Amazon PPC I would say it would be a year worth of data. This would give the model a full set of seasonal patterns for your product. Basically, you would have to be a client of this software for 12 months before being confident in their Amazon PPC software’s bid suggestions.

I do hear the counterargument that these AI/ML Amazon PPC software companies can use loads of data from their existing clients. This is a flawed argument because of the lack of conformal data, as each client is selling products that have a different price range and patterns. So using existing data as a predictive reference to a new client with a different product is extremely low. This is why AI/ML applied well to situations with data conformity and large data sets, an example I could think of is fraud detection.

Also need to mention, that I have found some Amazon PPC software tools that have marketed themselves as AI/ML learning. But upon closer inspection, I am quite certain they are not. Not going to name them, but buyer beware.

How to Choose the Right Amazon PPC Software for Your Business Stage

There are so many Amazon PPC tools out there and different ones will be ideal given the size of your FBA business, the number of products you sell, your niche and so in. Not every Amazon seller needs an enterprise-level solution and a basic tool may be insufficient for large 7-figure sellers.

The biggest mistake we see sellers make is overpaying for complex features they won’t use, or conversely, trying to manage a million-dollar ad spend with a basic tool. Here is how to match the software to your business stage:

Amazon PPC Tools for “Solopreneur” / Businesses in the Launch Phase (Under $5k/mo Ad Spend)

At this stage, your data is limited, and aggressive AI automation can actually hurt your campaigns by making decisions based on statistical noise.

• What you need: Simple rule-based automation (e.g., “If ACOS > 30%, lower bid by 10%”), accurate profit analytics, and a clear dashboard to replace messy spreadsheets.
• What to avoid: Expensive AI “black box” tools that require thousands of data points to function correctly.

Amazon PPC Tools for Businesses in the Growth Stage ($5k – $50k/mo Ad Spend)

You have established best sellers and reliable conversion data. Manual optimization is now a bottleneck preventing you from launching new products.

• What you need: Bulk optimization capabilities, dayparting (hourly bidding), and “Harvesting” features that automatically move converting search terms from Auto to Manual campaigns.
• Focus: Look for tools that offer “Dayparting” and “Keyword Harvesting” automation to scale efficiency without scaling your workload.

Enterprise-Level Amazon PPC Tools for Sizable Sellers and Brands ($50k+/mo Ad Spend)

You are likely running Sponsored Brand Video, Sponsored Display, and DSP. You need to look beyond simple ACOS and focus on Total ACOS (TACOS) and new-to-brand metrics.

• What you need: Amazon Marketing Cloud (AMC) integration, cross-channel attribution (measuring external traffic), and predictive inventory management.
• Focus: Tools that support “Share of Voice” tracking and programmatic ad types.

Adbrew

Adbrew is an award-winning Amazon and Walmart advertising platform built for brands, agencies, sellers, and aggregators looking to scale profitably through automation, analytics, AI-driven optimization, and retail media intelligence.

Trusted by more than 1,000 global brands and agencies managing over $100M in ad spend, Adbrew combines advanced reporting, campaign automation, Amazon Marketing Cloud, DSP management, Share of Voice tracking, and AI-powered workflows into a single platform.

Reporting, Analytics, and Adbrew Intelligence

Adbrew offers highly customizable reporting dashboards designed to give advertisers complete visibility into both advertising and organic performance.

Beyond standard KPIs, the platform provides advanced analytics including branded vs. non-branded sales splits, campaign type performance, targeting-type analysis, placement-level insights, keyword trends, product-level reporting, and performance movement tracking. This helps teams quickly identify growth opportunities, inefficiencies, and account-level changes.

The platform also includes Adbrew Intelligence, an AI-powered analysis layer that helps advertisers deeply analyze account performance, identify root causes behind performance fluctuations, surface optimization opportunities, and take relevant actions directly within the platform.

Dashboards can be fully customized based on reporting requirements and shared internally or externally using white-label reporting capabilities, including custom logos and brand colors.

The dashboard is fully customizable, allowing you to create widgets based on your specific needs. Additionally, it includes white-labeling features, enabling you to add your logo and brand colors, and share the dashboard with your team and clients for quick reporting.

Automation

Automation and AI Optimization

Adbrew combines AI-driven optimization with one of the industry’s most advanced rules-based automation engines.

Recognizing that different campaigns require different optimization approaches, the platform gives advertisers the flexibility to either create granular automation rules or leverage AI-driven optimization workflows.

Brands and agencies can automate a wide range of operational tasks including:

• Bid optimization
• Search term harvesting
• Negative keyword management
• Placement optimization
• Budget allocation
• Bidding strategy adjustments
• Campaign scaling workflows
• Performance alerts and monitoring

This significantly reduces manual optimization effort while still maintaining advertiser control and transparency.

Dayparting and Amazon Marketing Stream

Adbrew provides a detailed view of your hourly ad performance, helping you identify when shoppers are most likely to buy from your brand, when conversion rates are highest, and which hours have high ACoS.

Using this data, Adbrew intelligence  can automatically generate dayparting strategies based on brand goals, enabling adjustments to bids, budgets, and placements based on the time of day and day of the week.

Amazon DSP and Amazon Marketing Cloud Support

Adbrew is one of the few platforms that offer Amazon Marketing Cloud support for all Sponsored and DSP advertisers, helping them generate actionable reports without writing a single line of code. It enables users to create custom audiences using pre-made audience templates and leverage those audiences in Sponsored and DSP ad campaigns to refine targeting.

Adbrew also enables brands and agencies to manage Amazon DSP campaigns with its state-of-the-art campaign launcher, helping them engage shoppers at different stages of the funnel: awareness, consideration, and conversion.

Additionally, advertisers can use automation and bulk management features to streamline DSP campaigns, including managing line items, flights, budgets, and creatives.

Share of Voice and Ranking Based Automation

Most brands optimize their campaigns in isolation, without understanding how they compare to competitors in their category. Adbrew’s Share of Voice tool helps track your brand’s share and rank for different keywords with hourly granularity.

You can see where your products appear on Amazon at various times and the percentage of share your competitors are capturing.

Using this data, you can set up Share of Voice automation to optimize your campaigns based on search rank. For example:

• Get Top of Search Visibility: Increase bids until your products appear at the top of search results for a keyword.
• Stop Organic Sales Cannabilization: If your ads already rank at the top of search and your organic ranking is also high, you can automatically reduce bids until your ads appear below organic results to prevent organic sales cannibalization.

Bulk Campaign Management and Campaign Launching

Adbrew includes dedicated management interfaces for campaigns, targets, search terms, products, placements, bidding strategies, and negative targeting.

These interfaces allow advertisers to quickly filter, analyze, and apply bulk changes across large account structures.

One of Adbrew’s standout capabilities is its advanced campaign launcher, which enables advertisers to create large-scale campaign structures within minutes using customizable templates and automation workflows.

The launcher also leverages AI capabilities to automatically research and add relevant keywords during campaign creation.

Supported Marketplaces

Adbrew supports over 15 marketplaces, including the US, CA, UK, DE, FR, ES, IT, NL, BR, AE, SG, AU, JP, IN, SA, and TR.

Price

Adbrew’s subscription plan starts at $799/month or 2% of ad spend, whichever is higher. Given that it exceeds industry-standard features by supporting Amazon Marketing Cloud, Amazon DSP advertising, and multiple marketplaces, its pricing is well-justified for mid-to-high-tier brands and agencies.

Bid X Tool Review

Reporting and Analytics

Very clear reporting. The initial dashboard allows you to see everything on a high level very clearly.

You can also customize the dashboard by creating a new tile where you can customize by the types of graphics, metrics, date range, and KPIs. You can create Line Chart, Bar Charts, Doughnut charts, Table, Score Card, and a customizable Text Box. Overall this very neat feature.

Bid Automation

In Bidx there is the bid automation feature, a feature I feel is must-have in all Amazon PPC software nowadays. The thing that I feel that makes the bid automation in Bidx unique is that it seems the target ACoS is set at the SKU level, where most of the Amazon PPC software I have reviewed seems to have target ACoS set at the Campaign level.

It could be a good thing to have really precise ACoS targeting, but at the same time if you have 50+ SKUs and even more between different marketplaces it could be a headache to set up at first and going forward as you would have to constantly adjust your landing cost.

Under their ‘Management’ tab, you can set up the product cost, then choose your bid automation strategy. There are 4 strategies that you can select:

1. Break-Even ACoS
2. Profitable ACoS
3. Promote ACoS
4. Individual ACoS

Search Term and Negative Search Term Harvesting

Bidx allows you to, first, set the structure of where the search term/negative keyword destination should go to.

Then you would have to set the rule where you want the target harvesting to be triggered.

If you toggle the “Keyword & Negative Keyword Management” the harvesting and negative keyword function will perform harvesting actions automatically.

Manual Bulk Optimization

In BidX under the “Discover” section you can change the bid and status manually, but only 100 rows at a time. There is a sub-tab for Marketplace, Portfolios, Campaigns, Ad Groups, Targets, Product Ads, and Search Terms

Dayparting

BidX does not have dayparting functionality

Supported Marketplaces

BidX Support 10 marketplaces in all, they include:

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

The user interface is clean, the onboarding feature such as video and tutorial is comprehensive. Will take approx. 2-3 hours to completely set up depending on the number of marketplaces and SKU count.

Price

BidX is tier-based pricing based on monthly advertising spend. The per month price is one Amazon account only, so you would have to 2x subscription price if you want to use Bidx on multiple marketplaces.

Hero Feature

In my opinion, the hero feature has to be the customizable dashboard. It is a very valuable feature that is pretty unique amongst the Amazon PPC Software reviewed so far.

SellerMetrics Review

Reporting and Analytics

SellerMetrics have a high-level dashboard and analytics/reporting features that allow you to view your performance on both a high and the most granular level.

In the analytics function, you can select your reporting by:

• Campaign
• Ad Group
• Keywords
• Product (PAT)
• Search Terms
• ASINs

There is also an ASIN reporting, that allows you to see your metrics by unique ASINs. Basically, the same data in the advertised product report you see in your Amazon ads report. But what is unique about this is that you can see all the related campaigns that are advertising for this ASIN. This is the perfect report if you want to avoid duplicating campaigns that is targeting the same ASIN

It is also really worth noting that the reporting unifies all your metrics and data across accounts.

For example, if you are an Amazon seller that offers your product in multiple marketplaces, their Keyword analytics report can show all the keyword and their corresponding metrics on all related marketplace in your Amazon login under one screen.

This unified account structure in SellerMetrics can really save time, as you can do all your optimization workflow in one single session.

Another big reporting capability with SellerMetrics is Period over Period reporting. This reporting allows the user to analyze the variance of metrics from one period to another such as:

• Impression
• Clicks
• Order
• Spend
• Sales
• CVR%
• ACoS%
• CTR%

The user can analyze the variance on the Campaign/Adgroup/Keywords/Search Term levels as well.

This report allows me to filter for a list of keywords that attributed to fewer orders from one period to the next, allowing me to take action on them before any drastic declines in order.

In the above example, I am looking for keywords that attributed to a decline of 5 or more orders from the current (May) period vs previous (April) period.

Bid Automation

The bid automation feature allows the seller to set the ACoS goal, click threshold, and strategy on a campaign level. Bid automation is very easy to set up on their “Automation Settings” page.

On each of the campaigns, you can also set 3 different bidding strategies, they are Optimize, Moderate, and Growth. The bid automation engine uses the last 57 days’ lookback data to make their bidding decision since there could be 3 days of lagging attribution for sales and order.

Overall the bid automation is very easy to set up and the ability to set your bidding strategy according to your Amazon PPC campaign life cycle is a huge plus as well.

Search Term and Negative Search Term Harvesting

SellerMetrics allows the user to set up Search Term harvesting and Negative Keyword rules. Once these rules are set up, and if these rules are triggered you can move them into an existing ad group or its negative keyword list.

To set up a Search Term rule you will click on “+” sign under the Search Term rules column.

In the dialog, the source campaign is where the search term will be gathered from, while the destination campaign is where the search term that has triggered will be added to. The search term rule also allows you to add the corresponding search term as a negative (exact or phrase) into the source campaign

The “Automate” toggle allows the user a choice to decide if they want the software to move the search term automatically, or the user wants to take the action themselves.

After setting up the rule, you can see all the non-automatic search term that is triggered in their “Converted Search Terms” screen.

To set up a Negative Keyword rule you will click on “+” sign under the Negative Rules column.

The source campaign is where the search term will be gathered from, while the destination campaign is where the search term that has triggered the rule will be added to the negative list.

Basically, the same concept applies to the negative keyword creation,

The search term and negative rule feature is a very strong feature of SellerMetrics that allows the user to easily set up an automation that can negate poor-performing keywords and add strong-performing ones.

Manual Bulk Optimization

You can bulk update the bids on all keywords and PAT using their Manual Optimization Keywords screen. Again the beauty of this software is that you can make changes and optimize bids across all your Amazon PPC account in a single session.

Bids on keywords can be changed by the following:

• Increase/Decrease % from CPC
• Increase/Decrease % from Current Bid
• Increase/Decrease amount from CPC
• Increase/Decrease amount from Current Bid
• Change to an exact amount

Although you can change the bid pretty comprehensively, the downside to this software is probably their lack of ability to bulk change other attributes such as campaign state, adding keywords into an existing campaign or bulk create a new campaign with into the system.

Dayparting

SellerMetrics has an easy-to-use dayparting feature that allows you to set when campaigns are enabled and paused based on the specific date/time you set. This feature works for all Amazon Ad Types (SB/SP/SD/SBV).

Supported Marketplaces

SellerMetrics can support all countries where Amazon had enabled their advertising platform. This list of marketplaces includes:

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

SellerMetrics have a very clean UI, and quite initiative to onboarding to the software pretty quickly

Price

SellerMetrics is tier-based pricing based on monthly advertising spend.

Each pricing tier supports at least 3 Amazon Accounts. SellerMetrics calculate the subscription based on the aggregate ad spent between all your ad accounts, so if you are currently selling on the US marketplace and want to sell in Canada, there will be no extra cost for SellerMetrics to support your Amazon Canada PPC account.

This pricing model makes SellerMetrics very cost-effective especially if you want to start selling to other Amazon marketplaces

Also comes with a 14 days trial. Can see more details on the pricing here.

Yeah, so ok I have reviewed my own software, might be a bit biased. But I stand by it. If you have read this review, I’ll be happy to give the reader a lifetime discount, just reach out to me on the widget on the button right and mention this article

Hero Features

Automate your Ranking using Amazon PPC

In 2021 Amazon has officially closed the grey area of using Search Find Buy (SFB) and rebates to rank your product on the A9 search results. As such the only game in town to legitimately rank on Amazon is by using Amazon PPC Advertising.

Yeah, I know it sucks to even put more dollars into advertising, but certainly better than risking your Amazon account to rank using off TOS methods.

Enter the new feature from SellerMetrics called the Sponsored Ranker, what this new feature will do is 1) scrape the sponsored keyword results on the Amazon marketplace >> 2) find your ASIN’s Sponsored Product ranking >>3) then proceed to make bid changes until you get your ASINs desired sponsored rank.

Check out how it works in the video below

In other words, this feature will rank keywords for you automatically via Amazon PPC. It is the ultimate Amazon PPC growth feature.

Sponsored Ranker works for CA/US/UK/EU/JP/AUS/IN/BR marketplace

By using our SP Ranker ranking campaign you can ensure you are constantly on the top of search results and thus will indirectly rank organically for your targeted keywords.

We also keep track of your SP Rank in relation to your organic rank in the SP Ranker campaign over time. How cool is that!

One-Click Campaign Setup

Another hero features of SellerMetrics. Create a set of structured Sponsored Product campaigns with only one click of a button. This new feature allows you to set a few high levels settings such as ACoS target, budget, keywords, and product to advertise. The system will then create the following set of campaigns

• SP Automatic Campaign
• SP Manual Keywords Campaigns
• SP Manual Keywords Campaigns – Exact match
• SP Manual PAT Campaigns

Additionally, the bid automation and search term harvesting rules are automatically set up between them so you do not need to spend the extra time to create the rules for the campaigns created with this feature.

Sellozo Review

Reporting and Analytics

Dashboard with all the campaign/account metrics. I do feel the UI for the dashboard could be better, some fonts are just hard to read. I would have to say it is really detailed, you can connect with your MWS and see the FBA fee incurred on an account level so you see your net profit.

Bid Automation

In each of the campaigns under the PPC Manager tab, you can set the bid automation. There is the bid strategy and target ACoS. According to their sales rep and website, their bid engine uses AI. They said that their AI makes the bidding algorithm smarter.

Search Term and Negative Search Term Harvesting

This feature is where Sellozo shines, using their Campaign Studio you can create linkage between campaigns and their ad group in a visual way via dragging and dropping.

Manual Bulk Optimization

In Sellozo you can make bulk adjustments in their PPC Manager tabs. On the targeting tab, you make bulk adjustments in two ways, first, you can bulk change a static then press “push” to copy over your bid to other keywords and targets.

The second method is to make bulk relative bid changes. Overall, Sellozo is very strong in terms of manual bulk bid optimization.

Dayparting

Another nice touch is the dayparting function, where you can turn off and on campaigns between periods of time. Beneficial if you know the optimal time that gives you the most sales.

Supported Marketplaces

Sellozo only seem to support NA and EU Amazon accounts the marketplaces includes:

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

Not the most intuitive UI experience, takes a while to figure things out. There do have a lot of data on the screen though, the placement and the whole user journey could be better.

Price

They have a different pricing model compare to the market, the product is priced by the # of SKU on your Amazon Seller Central account. So Amazon MWS connection is a requirement.

The per SKU price plan might present a good value for a mid-size Amazon seller that spends more than $10,000 a month on Amazon ads.

If Amazon PPC software uses a % of ad spend pricing model and takes about 2% of ad spend, so if you spend $10,000 then you are looking at $200/month at least.

The 2nd Sellozo pricing plan of $299 a month for 11-1000 SKUs allows for Amazon sellers a lot of room for growth.

The pricing plan is pretty scalable, although it’s only for 1 account, so if you want to use Sellozo on your other marketplaces you would have to pay double (subscription x # of marketplace)

Hero Feature

The campaign studio is a very innovative approach to the Search Term and Negative harvest. I’ve seen a lot of software struggle to come up with an intuitive workflow for the Search Term harvesting function, but I feel the campaign studio is feature is a winner.

PPC Entourage Review

Reporting and Analytics

Their initial high-level analytics and dashboard look alright, above average in terms of information and UI. I do find it too high-level though and cannot easily see my metrics on an ad group and keyword level that easily.

Bid Automation

I really do think that PPC Entourage is made for the seller in mind, it’s all in the details, I think this is especially the case in their bid automation feature. You can go into their ‘Auto-Pilot Manager’ tab and set specific bid automation (Target ACOS) to be either applied either on the campaign or the ad group level.

Search Term and Negative Search Term Harvesting

To continue on the last screenshot, you can set up your Search Term and Negative Search Term Harvesting on the ‘Auto Pilot Manager’ tab as well. The search term harvesting can be set by via Sales, CTR, Unit sold and ACoS, like bid automation it can be set either on the campaign or ad group level.

While the negative harvesting can be set either by setting trigger via clicks or impressions. Like the previous functions, you can set this rule on both the campaign and ad group levels.

Manual Bulk Optimization

You perform the bulk bid automation, via the tab “Bulk Optimization”. On this tab, you can select diff levels of data Keyword/Search Term/SKU. Then you can further filter by the corresponding metrics. Once you get the result you can adjust the keyword bid by:

• To Max CPC (Cost per Click)
• Adjust Current Bid by value and %

Dayparting

PPC Entourage has a very comprehensive Day Parting function where you can, not only select the time and date, but also turn the campaign off during a specific date range of the year. This function would be great if you are not completely in stock for a certain SKU or you feel like certain seasons/holidays are not a good time for your product.

Supported Marketplaces

PPC Entourage support NA and EU Amazon accounts the marketplaces includes:

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

This is a tough one, PPC Entourage is not poorly designed by a long shot. Since it is so feature-rich, it can be a bit complicated for not as experienced users to navigate and to be onboarded. Overall, the ease of use is not because of design but it is just so packed that the learning curve is relatively higher.

Price

PPC Entourage is tier-based pricing based on monthly advertising spend and per-account basis. If you hit each tier($1000 and $10,000) it would double the subscription fee. Per-account base pricing means if you sell on Amazon US and Canada you will have to pay 2x on what is on the price chart below.

Hero Feature

The one feature in PPC Entourage that I was amazed about is the ‘Community Data’ feature. This report shows the data of all other Amazon advertisers that are using the PPC Entourage tool. It lets you know how you stack up against the average .

Sellerlab (Ignite) Review

Reporting and Analytics

Overall it has an ok high-level dashboard that shows your performance on an account level. You can go to the ‘performance’ tab to see things on Keyword and Search term level. But I don’t how you can view data by ad group, so that is the drawback as far as I can tell.

Bid Automation

First, you need to set up the target ACoS in the “Campaigns” tab, then under the ‘Suggestions’ tab, you can set the bid automation on a campaign level. Another thing of note is that the bid automation currently does not support Sponsored Brands video.

Search Term and Negative Search Term Harvesting

It seems that Ignite only can automate the creation of negative keywords. But cannot perform the function of search term harvesting, which I feel is a very important part of the Amazon PPC optimization workflow.

Manual Bulk Optimization

I feel manual bulk changes and optimization is probably what Sellerlabs Ignite can do best. They have an intuitive screen for bulk bid changes for keywords

Dayparting

Sellerlab Ignite does not have dayparting functionality

Supported Marketplaces

SellerLabs support NA, EU, and Fareast Amazon accounts the marketplaces includes:

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

Overall ease of use is good, but it seems to like the opposite of PPC Entourage, ease of use is due to the lack of functionality.

Price

SellerLab is tier-based pricing based on monthly sales on a per-account basis. If you hit each tier($250K and >$1M) it would double the subscription fee. Per-account base pricing means if you sell on Amazon US and Canada you will have to pay 2x on what is on the price chart below.

BUT this pricing is not only for their Amazon PPC Software, Sellerlabs offer an entire suite of software solutions for the Amazon seller. It an all-in-one price.

Hero Feature

No hero feature to speak for Sellerlabs. Keep in mind I have only reviewed their Ignite suite.

Viral Launch (Kinetic) Review

Reporting and Analytics

Below is the dashboard that shows data on an account level. I can see my campaigns on this screen, and if I click on the campaign, I can drill down to see the ad group and then the keyword level. Overall this reporting and analytics setup seems alright, though I would like to see the ad group and keyword reporting on its own without having to click on the campaign first.

Also need to note, that this screen does not show my Sponsored Brands video and Sponsored Display campaigns. Viral Launch (Kinetic) does not support these ad types in reporting and bid automation

Bid Automation

You can set different types of rules in their ‘Rules’ tab, for the bid automation you will select the Keyword Targeting and Product Targeting rule option. From there will can file out specific criteria to trigger the rule. As mentioned, Sponsored Brands video and Sponsored Display campaigns are not supported.

Search Term and Negative Search Term Harvesting

In their ‘Rules’ tab you can trigger a list of search terms or ASINs based on user-defined rules. This allows the triggered keywords to be added as a new target or a negative to the Amazon advertising account campaign/ad group either automatically or pushed by the user via the software

Manual Bulk Optimization

It does not allow you to make a bulk campaign or bid changes in any meaningful way. You are allowed to make changes on individual bids, on a row by row basis, but not in bulk.

Dayparting

Viral Lunch Kinetic does not have dayparting functionality

Supported Marketplaces

Ok so this is a huge issue, Viral Launch Kinetic only supports the Amazon USA marketplace.

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

The UI/UX seems initiative, even though there was not too much onboarding help such as in screen video tutorials, I was able to figure out the function pretty quickly.

Price

The price for the software suite with Kinetic (Viral Launch’s PPC module) is $199. Reminder, Kinetic only support Amazon USA, so if you do scale to other marketplaces Kinetic would not be a good option.

Hero Feature

Viral Launch (Kinetic) has a hidden ace in the hole with the ‘Sponsored Ad Rank Position’ column on its keyword reporting. This allows you to see where your keyword ranks as both organic and sponsored, as most sellers will know being ranks first in sponsored ads means a higher conversion rate and higher sales. It also calls to attention your bid if your Sponsored ranking drops.

Scale Insights Review

Reporting and Analytics

The reporting and analytics show organic and PPC sales, as well as the P&L of the products. There are multiple tabs that are displayed by overall sales trend, units, PPC analytics

There is also an Amazon PPC specific dashboard that shows a comprehensive view of all your campaign levels. This reporting is very detailed, A+ on details.

Bid Automation

I do feel that bid automation is where Scale Insight really shines for some people. Why some people? Let me explain, Scale Insight allows you such a free range of strategies and customization of their bid automation that it can confuse a lot of users.

It is great for the mad scientist that wants really to spend a lot of time testing a wide varies of strategies and algorithms.

In Scale Insight there are rules and strategies. You will create a rule, for example, if click > x then bid this, another example of a rule is only run a campaign during this specific time. There is a large variety of rules to experiment with.

On the other hand, strategy is consists of multiple rules to be applied to a certain campaign or targeting type/situations.

The different automation that can be select is pretty comprehensive. These rules and strategies are set up on the ad group level, so applying the automation will be a pretty long process.

Search Term and Negative Search Term Harvesting

For their search term harvest is what they call an “Import Rule”, you can create your custom rules for both search terms and negatives and apply them to an ad group. It seems it is all automated, there is no way where you can just trigger the search term and negatives to be added into the ad console yourself manually.

Manual Bulk Optimization

Scale Insights doesn’t allow you to change bids, add search terms and negatives in bulk manually

Dayparting

Scale Insights does have dayparting functionality

Supported Marketplaces

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

I would say this would be one thing it can improve on is the UX, but because it is such feature-rich in its bid automation settings that it will take time to learn and adjust regardless. The UI can also be improved upon as well

Price

The pricing plan is based on the number of ASINs that you set. Within the ASINs you can add many SKU/variation types.

Hero Feature

Their mass campaign creation. The system can create a combination of campaign/auto groups that allows you to test and scale your Amazon PPC. A very nice feature to have.

IntentWise Review

Reporting and Analytics

The data shows a nice and clean reporting first on across all campaigns upon login, then you can go to the left nav bar to show data on the ad group/keyword/product/search term levels. It also shows you more granular details on the campaign deltas, ASINs, and Keywords.

Overall pretty intuitive and easy for the eyes.

Bid Automation

IntentWise bid automation setup is also very intuitive. You set up the bid automation on the campaign level, this is done on the campaign screen. You select the campaign>> Set Target ACoS>>Click on Auto Apply Bid selection”

Search Term and Negative Search Term Harvesting

The search term and negative keywords can be both added manually and automatically.

To add search terms or negative manually you go to the search term screen. Select the search term, you can then add the search either as a new keyword or as a new negative.

Manual Bulk Optimization

IntentWise via its keyword level screens allows you to manually edit keyword bids and status in bulk.

Dayparting

IntentWise does not have a dayparting functionality

Supported Marketplaces

I cannot easily find all the marketplaces that IntentWise supports, it supports the North American marketplace at the very least I assume.

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

The UX with IntentWise is quite good. The structure of all the screens is very much intuitive. I can easily drill down and up between campaign, ad group, and keyword level quite easily. In terms of UX and UI, it is top tier

Price

The pricing started at $500, I think it is very pricey to start. It is based on a tier, but it doesn’t give any further details than that. I think if you are a small or mid-tier seller, it might be beyond your price range.

Hero Feature

The labeling feature is quite good, it allows you to set custom labels and apply them to a certain keyword.

Pacvue Review

Reporting and Analytics

This is the Amazon PPC Software that I was really looking forward to review, and honestly it didn’t disappoint. The reporting details were pretty amazing, probably the most comprehensive I’ve seen. I definitely saw what the fuse was all about.

Lets start with the initial dashboard, it shows every thing on a high level and low level. As you can see the tiles with the metrics on the top, and on the low level the most common keyword occurrence.

You can also customize what specific reporting tiles you want to see on the dashboard on the top right.

Then in their reporting section there are even more reporting/analytics options

Bid Automation

You know what I said earlier about AI? I think Pacvue understood the limitations. Thus, Pacvue not only offers AI, but also allows you to create custom rules based automations on the bids.

This way you can leverage combinations on both AI and Custom Rule in your bid optimization tool box. For example, campaigns that have a lot of previous data, let the AI take over, while most recent campaigns can be optimize using rule based.

I also like the fact that their sales team did not over sale their AI capabilities.

You can set rules using so many different triggers, as well you can customize:

• The lookback period
• Frequency of the bid changes
• +/- Bid from CPC, Bid and CPA (Current Bid / ACOS )

Then you can also have the option to set the AI optimization on the campaigns of your choosing

Search Term and Negative Search Term Harvesting

In Pacvue you can set up the harvesting rules for both search terms and negative keywords in the same rule creation screen as bids. The awesome thing about the harvesting rules is that you can select different trigger combinations such as CTR/ROAS/ACOS/Orders/CVR etc,.

Then you can select the source and destination of the harvesting. You can pick the source and destination of your keywords on both campaign and ad group level.

Manual Bulk Optimization

Pacvue has a very robust manual bulk change function. You can bulk change bids, add keywords, move keywords and add negative keywords.

Dayparting

Pacvue not only allows you to day part (on and off campaigns), but the day parting feature also allows you to have a bid multiplier (positive and negative) on a particular parts of the day.

For example if you want to bid up during high sales period of week, you can tell the system to bid 2x what you normally bid for this period.

Supported Marketplaces

Pacvue support NA, EU, and Far East Amazon accounts the marketplaces includes:

Supported Ad Types (SP/SBV/SB/SD)

Ease of Use

Pacvue is just so packed with options and features that it will take a lot of time to learn and be completely onboarded on the platform.

You probably would need a pretty strong knowledge on Amazon PPC to really understand all the functions and features. It is amazing for the experts, but for the newer users to Amazon PPC will struggle (not Pacvue target audience anyways).

Price

The old saying goes you pay for what you get. Pacvue rakes 4% of your ad spend, this amount is aggregated across all the marketplace and doesn’t have specific additional fee to sell another marketplaces.

It is probably costliest amongst all the Amazon PPC Software that have reviewed, but at the same time it is amongst the best.

Hero Feature

There are a lot of good features, but if I have to pick one, it would be the Category Intelligence features. This features allow you pick out trends and potential new ASINs/KWs to bid in your category.

The AI-Based vs. Rule-Based Amazon PPC Automation Debate

In your search for the best Amazon PPC software, you will encounter two distinct methodologies. Understanding the difference is critical to your campaign stability.

Rule-Based Automation (The “Glass Box” Approach) This relies on “If/Then” logic that you set up.

• Example: “If a keyword has 10 clicks and 0 sales, reduce bid by 20%.”
• Pros: Transparent, predictable, and gives you total control. You know exactly why a bid was changed. Perfect for sellers who want to strictly control their margins.
• Cons: Reactive rather than proactive. It requires you to set the parameters correctly; if your rules are bad, your results will be bad.

AI/Machine Learning Automation (The “Black Box” Approach) These algorithms analyze millions of data points across the software’s entire user base to predict future performance.

• Example: The AI predicts that “running shoes” converts higher on Tuesday evenings for your category and raises the bid before the sales happen.
• Pros: Proactive and saves time. It can identify complex patterns (seasonality, time of day, conversion delays) that a human would miss.
• Cons: Requires significant data volume to be accurate. It can be difficult to trust because you often cannot see the logic behind a specific bid change.

The debate as to which approach is better has gained a lot of traction. Since AI tools PPC optimization tools have started proliferating in 2025, more and more tools have become available to sellers. It can be really hard to determine which ones actually provide an added values and which ones are essentially just a ChatGPT / Gemini “wrapper”.

In our experience different approaches can be beneficial in different scenarios. LLMs and AI based tools differently have an edge when it comes to ad copywriting, but they may lack the data to make informed and optimal decisions that go beyond AI hallucinations and guesstimate when it comes to optimizing bids.

Amazon PPC Software vs. Hiring an Agency: Which Do You Need

A common dilemma for growing brands is deciding between buying a tool or hiring a team. While software is powerful, it is not a strategy in itself it is a vehicle for your strategy. Working with a professional Amazon Seller Agency can give you an extra edge: A professional agency will use sophisticated tools and leverage learnings on any single one of the accounts they manage across their entire client portfolio.

When to Choose Software:

• You have in-house expertise: You or your team understand bid management, keyword research, and campaign structure, but you need to execute tasks faster.
• Budget constraints: You want to keep costs low and are willing to trade your time for money.
• Strict control: You want to approve every bid change and fear that an external agency might “burn” your budget.

When to Hire an Agency:

• You are stuck: Your sales have plateaued, and software simply maintaining your current ACOS isn’t helping you grow.
• Strategy deficit: You know how to change a bid, but you don’t know why your competitor is outranking you or how to attack a new category.
• Creative bandwidth: Amazon advertising in 2026 is creative-heavy. Agencies often provide video editing, image design, and A+ content optimization that software cannot do.
• The “Hybrid” Approach: The most efficient sellers often use a hybrid model—hiring an agency for high-level strategy and creative direction while using software for the daily grunt work of bid adjustments.

FAQ: Amazon PPC Software Comparison

The post 25 Best Amazon PPC Software Tools (2026 Review & Buyer’s Guide) appeared first on SellerMetrics.

8 min read By Rick Wong  Updated May 16, 2026

Kindle eReader lockscreen ads are now officially available through Amazon DSP (Demand-Side Platform) via self-service open auction. Advertisers can manage Kindle placements directly alongside their broader programmatic Amazon Ads campaigns. No new APIs or contract changes are required. This integration is currently available to self-service advertisers promoting eBooks in the United States only. 

This update is one of the most significant shifts in Amazon’s book advertising ecosystem in recent years. For KDP authors, independent publishers, and eBook marketers, the way you buy and manage Kindle advertising has fundamentally changed. Instead of running lockscreen campaigns in a separate, siloed interface, you can now fold them into your full programmatic strategy through Amazon DSP.  

This article breaks down exactly what Kindle lockscreen ads merging with DSP means, what changed, why it matters for your advertising campaigns, and how to take advantage of it right now. 

What Are Kindle Lockscreen Ads?

Kindle lockscreen ads are a type of display ad that appears on Kindle eReader devices when the screen is in sleep mode, showing up as the device’s screensaver. When a user wakes their device, they see a full-screen ad marked “Sponsored” before accessing their content. If they tap the ad, they land directly on the eBook’s product detail page on Amazon. 

Here is what makes this ad format stand out: 

• Full-screen visibility: The ad occupies the entire high-resolution display with no competing banners, text, or notifications around it. 

• Distraction-free environment: Unlike a smartphone, a Kindle is a single-purpose reading device. The user’s mindset is calm and focused, making them more receptive to relevant messaging. 

• Interest-based targeting: Ads are served based on the user’s reading habits and genre preferences, putting your book in front of readers who are already interested in similar content. 

• Direct path to purchase: One tap takes the reader straight to the book’s Amazon listing, reducing friction in the buyer journey. 

Previously, you could only access this inventory through a separate KDP advertising interface that operated independently from the broader Amazon Ads console. That separation created real campaign management headaches, which the April 2026 update resolves. 

If you want a full breakdown of how to build a campaign from the ground up for your self-published books, check out this detailed guide on Amazon Kindle advertising strategy. 

Understanding Amazon DSP: The Programmatic Engine Behind the Change

Amazon DSP stands for Demand-Side Platform, and it is Amazon’s programmatic advertising system. Instead of bidding on keywords as you do with Sponsored Products, Amazon DSP lets you buy display, video, and audio ad impressions across Amazon-owned properties and third-party publisher sites, using audience-based targeting powered by Amazon’s first-party data. 

There are two ways to access it: 

• Self-service: You control the campaigns directly through the DSP console, with no management fee from Amazon and no formal minimum spend requirement. This is the access model relevant to the Kindle lockscreen update. 

• Managed service: Amazon’s internal team manages your campaigns for you. This option typically requires a minimum monthly spend of $50,000 USD, according to Amazon’s official DSP documentation. 

The core difference between Amazon DSP and traditional Sponsored Ads comes down to targeting and pricing models. Sponsored Ads are keyword-triggered and priced on a cost-per-click (CPC) basis.  

DSP is audience-triggered and priced on a cost-per-thousand-impressions (CPM) basis. This means you pay for reach rather than direct clicks, making it a top-of-funnel awareness tool rather than a bottom-of-funnel conversion driver. 

Understanding this distinction is essential before you build your first Kindle lockscreen campaign through DSP. For a side-by-side comparison of both systems, read this overview of Amazon Ads vs. Amazon DSP. 

How Kindle Lockscreen Ads Now Work Inside Amazon DSP

Amazon officially announced on April 24, 2026, that Kindle eReader lockscreen ads are now available through Amazon DSP. This is precisely what Kindle lockscreen ads merging with DSP means in practice: Kindle inventory has moved from a standalone advertising portal into the self-service open auction inside the DSP console. 

Here is a clear breakdown of what changed: 

The fact that existing APIs work without contract changes is a critical technical detail. If you already use third-party ad management tools or work with an agency that runs campaigns via API, your existing workflows can integrate Kindle lockscreen inventory immediately. No backend overhaul is needed. 

The other major implication is unified campaign management. You can now run Kindle lockscreen ads in the same DSP order as your display, video, or streaming TV campaigns. This means shared frequency caps, shared audience pools, shared reporting, and a single dashboard view of your full campaign performance. 

Why This Integration Is a Game-Changer for KDP Authors and eBook Advertisers

Before this update, managing Kindle advertising alongside other Amazon campaigns meant logging into different systems, reconciling separate reports, and guessing at cross-channel attribution. That fragmented approach wasted both time and budget. 

Here is why the unified approach delivers real advantages: 

1. You can build a full-funnel strategy around your book.  

Kindle lockscreen ads are now a top-of-funnel awareness tool you can layer beneath your Sponsored Products campaigns. A reader sees your book on their device’s lockscreen, registers the title and cover, and then later sees your Sponsored Product ad in search results. That second touchpoint benefits from the first, improving the chance they click and buy. 

2. You get access to Amazon’s first-party data for targeting.  

DSP uses Amazon’s shopping, browsing, and streaming signals to build audience profiles. This goes well beyond simple reading interest targeting. You can reach users who recently browsed specific book categories, users who have purchased similar titles, or users who fit specific lifestyle and demographic profiles.  

According to Pew Research, 30% of US adults read an e-book in the past year, representing a large and proven digital reading audience that Amazon’s first-party data can help you target with precision. 

3. You can control frequency across all devices.  

Without unified management, the same reader could see your ad on their Kindle, their Amazon app, and a third-party site, all from separate campaigns with no shared frequency limits. Through DSP, you apply a single global frequency cap across all placements. This prevents ad fatigue and reduces wasted impressions. 

4. Reporting becomes consolidated.  

You can see how your Kindle lockscreen impressions relate to downstream purchases, along with the performance of your other DSP placements, all in one view. This makes optimization far more informed. 

Understanding how your Amazon Advertising Management strategy fits together across ad types is what separates brands that scale from brands that stagnate. 

Kindle Lockscreen Ads vs. Amazon Sponsored Ads: Which Should You Use?

This is not an either/or decision. These two ad types serve different purposes in your overall strategy, and the strongest campaigns use both. 

Here is how they compare: 

The recommended approach for most KDP authors is to use Kindle lockscreen ads to create awareness among readers who match your target audience and then use Sponsored Products to convert that warmer audience when they search for your genre or related titles. 

Think about Amazon CPC online advertising as the tool that captures demand, and DSP lockscreen ads as the tool that builds it. 

How to Set Up Kindle Lockscreen Ads in Amazon DSP

Setting up your first Kindle lockscreen campaign through DSP is straightforward once you know where to look. Follow these steps to get started: 

1. Go to the Amazon Ads console at advertising.amazon.com and navigate to Amazon DSP. 

2. Select the self-service option to access the DSP console directly. 

3. Create a new order and set your campaign-level budget, flight dates, and frequency caps. 

4. Create a new line item under the order and choose “Display” as the ad type. 

5. Select Kindle eReader as your inventory source by choosing the open auction and applying a placement filter for Kindle devices. 

6. Set your audience targeting using Amazon’s in-market, lifestyle, or contextual audience segments. For book advertising, in-market reading audiences filtered by genre are a strong starting point. 

7. Upload your ad creative. Your ad needs to include your book cover image, a headline, and a call-to-action. High-quality cover art is critical since the ad fills the entire screen. 

8. Set your CPM bid based on your target reach and budget goals. 

9. Launch and monitor performance through the DSP reporting dashboard. 

For creatives, Amazon’s lockscreen ads guide for books outlines specific format requirements and best practices directly from Amazon. 

Best Practices for Kindle Lockscreen Ads on Amazon DSP

Running lockscreen ads through DSP effectively requires a different mindset than managing keyword-based campaigns. Here are the most important practices to follow: 

Focus on your book cover quality.  

Your cover is the centerpiece of the ad. It needs to pop on a small, grayscale-friendly display and communicate genre instantly. If your cover does not do this well, fix it before spending on lockscreen ads. 

Use dayparting to match reading habits.

According to reading behavior data, more than 33% of Kindle users spend 60 to 90 minutes daily on their devices, with peak usage in the evenings and early mornings. Use dayparting in your DSP line item settings to concentrate spend during those windows and pull back during midday when devices sit idle. This connects directly to how the Amazon advertising auction operates in real time, meaning smarter bid timing means more efficient spend. 

Layer audience signals over placement targeting.  

Do not treat the Kindle lockscreen as a generic billboard. Add audience layers, such as in-market readers for your genre, or users who have previously purchased books in your category. The more specific your targeting, the more efficient your CPM spend becomes. 

Set global frequency caps.  

Cap the number of times any single user sees your ad across all devices. A cap of 3 to 5 impressions per user per week is a reasonable starting point. Going beyond this without a creative refresh leads to ad fatigue and wasted impressions. 

Exclude existing buyers. 

Upload a custom audience of users who have already purchased your book and exclude them from the campaign. You want new readers, not paid impressions on people who already own your title. 

Track your ACoS and return on ad spend carefully.  

DSP uses CPM pricing, so your cost structure is very different from sponsored ads. Knowing what is a good ACoS on Amazon in your category helps you benchmark whether your CPM spend is generating profitable results relative to the sales it drives. 

Deeper Measurement with Amazon Marketing Cloud

The integration of Kindle lockscreen ads into DSP becomes even more powerful when you pair it with Amazon Marketing Cloud (AMC), Amazon’s secure, privacy-safe clean room for advanced campaign analytics. 

AMC allows advertisers to run custom SQL queries across event-level data from all their Amazon Ads campaigns. Now that Kindle lockscreen impression data flows through DSP, it also populates inside AMC. This opens up measurement capabilities that were simply not possible before the April 2026 update. 

Here is what you can do with AMC and Kindle lockscreen data: 

• Path-to-purchase analysis: See whether users who saw your Kindle lockscreen ad went on to search for and purchase your book. Determine whether the lockscreen is typically a first touchpoint or an assist in a longer journey. 

• Audience overlap analysis: Identify how many users saw both your Kindle lockscreen ad and your Sponsored Products ad and compare conversion rates between exposed and unexposed groups. 

• Custom retargeting audiences: Build an audience of users who saw your lockscreen ad but did not click, then retarget them with a different creative message across standard display inventory. This closes the loop between awareness and conversion. 

AMC gives you the evidence to justify your DSP spend and the data to improve it continuously. 

Who Should (and Shouldn’t) Use Kindle Lockscreen Ads Through DSP

Not every advertiser is the right fit for this format right now. Here is an honest breakdown: 

This is a strong fit for you if: 

• You are a KDP author or eBook publisher with a professionally designed book cover 

• Your book has existing reviews and a polished product detail page 

• You advertise in popular, competitive genres such as Romance, Thriller, Science Fiction, or Self-Help 

• You already run Sponsored Products campaigns and want to add a top-of-funnel layer 

• You are based in the US or manage US-targeted campaigns (the only market available at launch) 

• You manage multiple titles and want unified campaign management across all inventory types 

This may not be the right time if: 

• Your book is brand new with few or no reviews (drive reviews first) 

• Your cover art is not professional or does not communicate genre clearly 

• You are not yet running, measuring, and profiting from Sponsored Ads 

• Your total advertising budget is very small, making CPM-based awareness spend difficult to justify 

Understanding the Amazon advertising cost landscape across both CPC and CPM models will help you decide how to allocate budget between Sponsored Ads and DSP lockscreen campaigns. 

Start Taking Advantage of Kindle Lockscreen Ads Merging with DSP

The Kindle lockscreen ads merging with DSP is not just a platform update. It is a signal of where Amazon advertising is heading: toward a unified, programmatic ecosystem where every screen Amazon owns becomes accessible through a single self-service console. 

For KDP authors and eBook publishers, the window to get ahead of this change is right now. Most advertisers are still relying on older, keyword-only strategies. Adding Kindle lockscreen ads to a broader DSP strategy positions your book in front of engaged readers before they ever open the Amazon search bar. 

At the same time, running DSP campaigns effectively takes real expertise. Setting CPM bids, building audience layers, applying frequency caps, and measuring view-through attribution through AMC are all skills that take time to develop. Getting it wrong does not just cost you clicks; it costs you thousands of impressions with nothing to show for it. 

That is where SellerMetrics comes in. As a dedicated Amazon Seller Agency, SellerMetrics manages the full advertising stack for Amazon brands, from Sponsored Ads and DSP to listing optimization and account management. The team stays ahead of every platform update, including the Kindle lockscreen integration, and builds campaigns that deliver measurable growth. 

Ready to build a full-funnel Amazon advertising strategy that includes Kindle DSP placements? Book a free strategy call with the SellerMetrics team today and find out exactly what it takes to grow your sales on Amazon.

FAQ: Kindle Lockscreen Ads Merging with DSP

The post Kindle Lockscreen Ads Merging with DSP: The Ultimate Guide to Amazon’s Unified Campaign Ecosystem appeared first on SellerMetrics.

8 min read By Rick Wong  Updated May 16, 2026

Brands have been operating based on an incorrect assumption since the inception of the Amazon advertising era. Each click is treated the same. Each conversion is assigned equal value. Each customer receives the same treatment. 

At first glance, it may seem logical to assume each click or conversion is valued equally, and that each customer should receive similar treatment. 

Two shoppers may each generate a $20 purchase, but their long-term value can be completely different. 

The shopper who clicked the Sponsored Products ad typically never returns and likely purchased based on the price alone. On the other hand, the shopper who viewed the Sponsored Brands video returns consistently, explores your brand’s product catalog, and provides recurring revenue for your business over the long-term. Traditional reporting does not take these differences into account.  

Traditional reporting systems cannot differentiate between a shopper who makes a single purchase and a loyal customer. 

That is why High-Value Audience Analysis was developed to bridge the gap between traditional reporting methods and identifying the customers that actually drive long-term profitability. With High-Value Audience Analysis and Amazon Marketing Cloud, you can now move beyond attributing revenue solely based on specific transactions and begin to identify which customers truly contribute to long-term profitability.  

This methodology enables a shift from optimizing advertising solely on keyword targeting to building an Amazon SEO Strategy based on audience behavior. This also improves how you approach Amazon Search Term Optimization, ensuring you attract higher-quality traffic. 

The Fatal Flaw of Short-Term Attribution Models

To fully understand the impact of Amazon Marketing Cloud (AMC), you first need to confront a core limitation in how most Amazon sellers measure performance. 

For years, strategy has been dictated by a narrow set of metrics. Advertising Cost of Sales (ACoS) and Return on Ad Spend (ROAS) are at the heart of the decision-making process. While these metrics offer some benefits, they both exist inside a strict 7 to 14-day lookback window. If the same customer makes a purchase from one of your ads before that time period expires, you get full credit for that sale. However, if that customer makes another purchase from your company fifteen days after making the original purchase, neither sale will ever be credited to that campaign. 

Short-term attribution pushes brands toward bottom-of-funnel activity. It rewards immediate conversions while discouraging investment in awareness and consideration. Campaigns that create delayed conversions or influence subsequent purchases will be undervalued, even though they may contribute significantly to long-term growth.  

The Amazon advertising console is unable to determine whether a customer is a first-time buyer or a repeat customer. A single purchase is treated the same, whether that customer leaves after one purchase or comes back and makes multiple additional purchases over the course of the next year. All conversions are reported as isolated events, disconnected from any broader customer behavior. 

To see how misleading this can be, let’s take a premium sports nutrition brand as an example. 

You pay $40 to get a new customer for a $50 tub of protein powder. On paper, this translates into an ACoS of 80%. Many sellers would immediately label this as unproductive and reference benchmark data, such as what is a good ACoS on Amazon and what is a good TACoS on Amazon, before responding by lowering bid prices or turning off those campaigns. 

The problem is that this view is incomplete. 

What the dashboard does not show is the behavior that follows. That same customer may return every month to reorder the same product. Over twelve months, that initial acquisition generated $600 in total revenue. 

Instead of an 80% ACoS, the true long-term cost drops to a highly profitable level. The initial acquisition cost becomes justified, even strategic. Many sellers would still consider this inefficient and reduce bids or pause campaigns entirely. 

Many sellers prioritize immediate efficiency over lifetime value, which can cause them to cut campaigns that attract profitable repeat customers. 

This is the exact problem that Amazon Marketing Cloud was built to solve. 

Decoding the Architecture of Amazon Marketing Cloud

Before diving deeper into the High-Value Audience Analysis, it is important to understand how Amazon Marketing Cloud actually works at a structural level. This is not a typical reporting tool. 

Most sellers are familiar with dashboard reporting. However, they cannot drill down into reports for deeper analysis. 

A data clean room is a secure, controlled area where an advertiser may view large amounts of highly detailed data without jeopardizing a user’s privacy. Amazon describes Amazon Marketing Cloud as a secure, privacy-safe clean room where advertisers can analyze pseudonymized signals and build audiences.  

The data clean room allows Amazon to provide unaggregated, event-level datasets within this space. This includes every impression, click, add-to-cart action, and purchase generated by your campaigns. These interactions can span Sponsored Products, Sponsored Brands, Sponsored Display, and Amazon DSP. 

As much detail as you may be able to obtain from this amount of data, Amazon removes personally identifiable information (PII) from the dataset. Therefore, every shopper will be represented by a pseudonymized identifier instead of their actual name or identity. This allows you to track shopping behavior over time without exposing individual identities. 

Because the datasets are unaggregated, advertisers can use SQL to ask specific questions about customer behavior. This allows them to combine datasets, reconstruct customer journeys, and build audience segments based on behavior. 

This level of flexibility is what makes AMC so powerful. It shifts you from passive reporting to active analysis. However, the flexibility also brings a higher level of complexity. 

Writing SQL queries, combining datasets, and interpreting output requires significant technical skills that most companies do not have internally. Without this internal capability, it becomes harder to unlock the full potential of the platform. 

To address this, Amazon introduced Instructional Playbooks. These pre-built query templates simplify advanced analysis, including High-Value Audience Analysis, which identifies valuable customers based on behavior data. Instead of spending time running queries and analyzing output, you can focus on applying insights and developing strategy. 

This is where Amazon Marketing Cloud becomes more than just a data tool. It becomes a decision engine. 

Defining the Parameters of a High-Value Audience

The term “high-value” is not universal. What qualifies as a whale for a fast-moving consumer goods brand will look very different from what defines a top-tier customer for a luxury electronics company. 

That is why the first step in executing a High-Value Audience Analysis inside Amazon Marketing Cloud is not pulling data. It is defining what value actually means for your business. Without a clear definition, the analysis becomes directionless. With one, it becomes a precision tool. 

With AMC, value is typically determined using a combination of three core metrics: 

• Total lifetime spend 

• Purchase frequency 

• Cross-category penetration 

Each metric measures a different aspect of customer behavior. Together, they provide a complete view of long-term value. 

Total Lifetime Spend 

Total lifetime spend is the most direct way to identify your highest-value customers. Using AMC’s extended lookback window, you can isolate the top percentile of buyers based on the revenue generated over time. This top tier represents your core customer base and should influence how you allocate budget across campaigns. 

Purchase Frequency 

Purchase frequency becomes especially important for consumable products such as supplements, groceries, pet care, and beauty. In these categories, a high-value customer is not someone who spends once, but someone who returns consistently. Within AMC, this might mean users who complete three or more transactions within six months. 

Cross-Category Penetration 

Cross-category penetration reflects the depth of a customer’s relationship with your brand. For example, a camping equipment customer who buys a tent, returns for a sleeping bag and camping stove, shows deeper brand trust than someone who only buys once. 

From Metrics to Meaningful Segments 

Each parameter for the High-Value Audience playbook in Amazon Marketing Cloud is adjustable based on your company’s revenue streams, product lifecycle, and growth potential. The objective is not just to find people who buy frequently. 

It is to identify patterns that signal long-term value: 

• Consistent purchasing behavior 

• Increasing engagement over time 

• Expansion across your product ecosystem 

This level of granularity changes how you deploy capital. 

Instead of spreading your budget evenly across all traffic, you can focus on acquiring and retaining customers who demonstrate these behaviors. Every decision becomes more intentional. Every campaign becomes more aligned with long-term profitability. 

This is what turns High-Value Audience Analysis into a strategic advantage rather than just another report. 

The Strategic Mechanics of the Analysis

Running a High-Value Audience Analysis in Amazon Marketing Cloud is a process that requires a structured approach. 

This is not a set-it-and-forget-it process; it is an ongoing activity of querying data, reviewing query outputs, and using that information to create segments that can then be used across your media buying platforms. 

For the most accurate view of customer lifetime value, you want to use the longest available timeframe within the clean room, which is currently 12.5 months. This broader window provides a more accurate view of customer behavior because it captures the full seasonal cycle. 

Once the lookback timeframe has been defined, the next task is to determine how to configure the SQL query. 

A good way to start is to break down your buyers into deciles. This means dividing your customer base into ten groups based on total historical spend, purchase frequency, or another value-based metric that fits your business model. 

Once the query runs, AMC shows the aggregate characteristics of each tier. Lower-tier segments often include one-time buyers or discount-driven shoppers whose lifetime value stays close to their initial order value. 

Your highest-value segment may show larger average order values, repeat purchases, stronger cross-category engagement, and deeper interaction across your product catalog. These customers are not one-time buyers. They demonstrate sustained interest in your brand. 

The analysis also reveals how these customers interact with your advertising before they convert. You can study ad exposures frequency, preferred formats, campaign paths, and how upper-funnel and lower-funnel ads work together. 

For example, a high-value customer may first see a streaming TV ad, later engage with a Sponsored Brands video, and finally convert through lower-funnel retargeting. 

A campaign that looks weak under last-click attribution may actually play an important role early in the journey. Without Amazon Marketing Cloud (AMC), that influence is easy to miss. With AMC, you can see how different touchpoints work together to create high-value customers. 

Instead of guessing, you can see which ad formats, frequencies, and paths are most common among your best buyers. It gives you the proof needed to build campaigns around customer value, not just short-term sales. 

Pushing Insights to the Amazon Demand-Side Platform

If the output stayed in a spreadsheet, it would be informative but passive. The real advantage comes from what you do next. Amazon Marketing Cloud is directly connected to the Amazon Demand-Side Platform, and that connection is what turns insights into action. Amazon describes Amazon DSP as a demand-side platform that helps advertisers programmatically buy ads to reach new and existing audiences. 

Once you identify your high-value audience within Amazon Marketing Cloud, you can push that segment directly into your DSP account. These audiences are built using pseudonymized user IDs, allowing you to target real behavior patterns without exposing personal data. 

You are no longer guessing who to target. You are activating audiences based on proven customer value. 

Once you integrate those high-value audiences into the Demand-Side Platform, you can pursue two strategies: retention and acquisition. Retention refers to protecting and expanding your most valuable customers. Acquisition focuses on bringing new customers into your business. 

Retention: Protecting and Expanding Your Most Valuable Customers 

With high-value segments established, you can create campaigns that communicate directly with customers who have proven to be loyal to your brand. 

This allows you to move beyond general messaging and focus on relevance. 

For example, customers who buy premium espresso makers can be retargeted with cleaning tablets, accessories, or coffee subscriptions. 

This type of targeting improves both engagement and efficiency, especially when supported by a well-optimized product listing and a clear Amazon listing audit process. 

Instead of relying only on crowded search results, DSP lets you reach valuable customers through display and video placements, especially when comparing approaches like Amazon ads vs Amazon DSP. 

This is where strategies tied to Amazon advertising management become more sophisticated. You are no longer allocating budget purely based on keywords. You are allocating it based on customer value. 

Bypassing Search Competition with Cross-Sell Precision 

Another advantage of DSP activation is the ability to bypass the traditional search funnel. 

While search campaigns are valuable, they are also highly competitive. As competition increases, high-intent keywords often become costly, which can quickly reduce profit margins and impact key performance metrics like Amazon Click Through Rate in a saturated marketplace. 

For instance, rather than continuing to bid aggressively on broad keyword categories, you can use DSP to create targeted offers to high-value customers when it is most relevant. These insights can also support more precise Amazon PPC product targeting, especially when you know which products high-value customers are most likely to buy next. The result is lower wasted spend and a higher likelihood of conversion. 

The Power of Predictive Lookalike Modeling

Retaining high-value customers protects your baseline profitability. Scaling the business requires something else entirely. You need a consistent way to acquire new customers who behave like your best ones. 

Traditional prospecting on Amazon relies heavily on broad keyword targeting and general audience assumptions. You bid on high-volume search terms and hope that some portion of that traffic converts into loyal customers. It works, but it is often inefficient. You end up paying for a large volume of low-intent or low-value buyers just to find a few who stick. 

This is why acquisition costs tend to rise over time, especially in competitive categories influenced by factors like rising costs in Amazon CPC online advertising and increasing Amazon advertising cost due to rising bid pressure. This pressure becomes more visible in the Amazon advertising auction, where brands compete for placement and visibility. 

By using Amazon Marketing Cloud to identify your highest-value customers, you create a dataset that reflects proven buying behavior. When that audience is pushed into the Amazon Demand-Side Platform, Amazon’s machine learning systems begin analyzing it at scale. 

The system looks at browsing behavior, purchase frequency, content engagement, ad response, and broader interaction patterns across Amazon’s ecosystem. 

This includes signals from areas like Prime Video consumption, marketplace browsing behavior, and purchasing velocity. These patterns are far more predictive than simple keyword intent. 

Rather than casting budgets across unaligned prospects, you focus on shoppers more likely to convert, purchase repeatedly, and engage across multiple products. 

This approach aligns closely with advanced strategies often used alongside Amazon SEO and PPC, where the goal is not just traffic volume but traffic quality. 

While acquisition costs may be slightly higher for these lookalike customers compared to broad targeting methods, the long-term returns tell a completely different story. 

Because these customers are more likely to produce repeat purchases and therefore greater lifetime value per customer, the overall efficiency of your campaigns increases. 

Over time, this improves acquisition quality. 

Every new high-value customer strengthens your dataset. That improved dataset feeds back into your lookalike models, making them more accurate and more efficient. This creates a cycle where acquisition quality continues to improve as your business scales. 

This is what turns High-Value Audience Analysis into a growth engine rather than just an analytical exercise. 

Overcoming the Pitfalls of Audience Targeting

The biggest risk with audience targeting is overexposure. High-value customers already know your brand, so aggressive retargeting across the Demand-Side Platform can alienate the customers responsible for most of your profit and lower your Amazon Click Through Rate over time. 

These issues can be mitigated by applying frequency capping within the Demand-Side Platform. Using the output from Amazon Marketing Cloud (AMC) regarding the optimal frequency, you can limit how often your retention campaigns are shown to high-value customers. A well-timed gentle reminder when a replenishment opportunity is most likely is effective; an omnipresent, unavoidable barrage of banners is counterproductive. 

Another common mistake when implementing the High-Value Audience Analysis is failing to remove recent purchasers from prospecting campaigns. For example, if a shopper spent $300 recently on your flagship product, showing them a general brand awareness ad results in wasted spend. When creating custom audiences in AMC, it is essential to apply a Negative keywords Amazon strategy.  

You should regularly review your prospecting and lookalike campaigns to ensure that recent converters are excluded from the target audience to preserve budget for either net-new acquisition or specific delayed cross-selling opportunities. 

Continuous Measurement and Strategic Iteration

The Amazon marketplace is constantly changing. Competitors adjust pricing, seasonality affects demand, and search results continue to evolve. Because of this, your definition of a high-value customer cannot stay static. 

The most effective sellers do not treat High-Value Audience Analysis as an ongoing process. They update SQL queries, monitor behavior among high-value customers, refresh audience segments, and track whether lookalike cohorts develop into long-term brand advocates. This creates a feedback system that helps your advertising strategy become smarter and more profitable over time. 

Why Partnering With SellerMetrics Is the Ultimate Unfair Advantage

High-Value Audience Analysis offers a powerful premise but executing it effectively across a large-scale Amazon brand portfolio is challenging. Amazon Marketing Cloud is highly technical and turning SQL outputs into optimized Demand-Side Platform campaigns requires both data analysis and advanced media buying expertise. 

Most U.S.-based Amazon sellers do not have the time, cost flexibility, or technical team to build this infrastructure in-house. That is where SellerMetrics fits in, especially for brands that need advanced Amazon account management services to connect AMC insights with broader growth strategy.  

SellerMetrics bridges the gap between raw AMC data and campaign execution. The team helps define high-value customer segments, run the required AMC analysis, and translate those insights into targeted retention campaigns, predictive lookalike models, and broader Amazon account management services. With the right Amazon PPC Software and expert execution, those insights can support stronger budget decisions and long-term profitability.  

SellerMetrics also helps integrate these audience strategies alongside your Sponsored Products and Sponsored Brand campaigns, creating a more unified advertising strategy. 

Do not manage your brand through flawed short-term metrics alone. Audience-driven strategies help you identify your most valuable customer, reach similar buyers, and build a more profitable Amazon advertising system.

FAQ: Guide for High-Value Audience Analysis

The post AMC High-Value Audience Analysis: The Blueprint for Unlocking Long-Term Profitability on Amazon appeared first on SellerMetrics.

8 min read By Rick Wong  Updated May 11, 2026

Many US-based Amazon sellers have treated more visibility as a clear path to more sales. We poured money into Sponsored Products, expanded our budgets for Sponsored Brands, and scaled Amazon Demand-Side Platform (DSP) campaigns with the simple goal of dominating digital shelf space. The thinking was simple: show up more often, stay visible, and win more buyers. But as the Amazon advertising ecosystem has evolved, and as cost-per-click rates have steadily climbed, the reality of digital marketing economics has caught up with the platform. There is a breaking point where buying another impression is not just ineffective but harmful to your profit margins. 

This breaking point is ad fatigue. It can quietly lower return on ad spend before the problem becomes obvious in campaign reports. You might have campaigns right now that look healthy on the surface but are secretly bleeding capital because you are paying to show the same display ad to a shopper for the fifteenth time, long after they have already decided whether or not they want to buy your product. 

Until recently, identifying the exact threshold where ad fatigue sets in was essentially guesswork. Sellers and agencies relied on gut feelings, broad industry benchmarks, or clunky trial-and-error A/B testing that wasted thousands of dollars. Amazon Marketing Cloud now gives brands a better way to test that assumption with real exposure data. With the introduction of AMC’s new Optimal Frequency Analysis playbook, brands finally possess the granular, impression-level data required to pinpoint exactly when a shopper stops paying attention. 

In this guide, we will break down the mechanics of ad fatigue on the Amazon marketplace, explain how Amazon Marketing Cloud (AMC) helps sellers review shopper exposure across ad formats, and walk through how to use the Optimal Frequency Analysis playbook. Whether you are a seven-figure seller trying to optimize your DSP budget or a brand manager looking to squeeze every drop of efficiency out of your omnichannel campaigns, frequency capping can be one of the clearest ways to reduce wasted ad spend. 

The Psychology and Economics of Ad Fatigue on Amazon

Before we can effectively leverage AMC to solve ad fatigue, we need to understand the mechanics of why it happens and how it destroys campaign profitability. Ad fatigue occurs when a consumer is exposed to the same advertisement so many times that their brain begins to subconsciously filter it out. In cognitive psychology, this is referred to as sensory adaptation or habituation. When a stimulus remains constant, our nervous system stops registering it to save cognitive bandwidth for new, potentially important information. In the digital marketing world, we call this “banner blindness.” 

On Amazon, the journey from discovery to purchase is rarely a straight line. A shopper might see your Sponsored Brand video while scrolling on their phone during their morning commute. Later that day, they might see a Sponsored Display retargeting ad on a third-party blog they are reading. The next day, they might search for a generic category keyword and see your Sponsored Product placement. The first few times this shopper encounters your brand, the impressions are highly valuable. They build brand awareness, communicate your unique value proposition, and keep your product top-of-mind as the consumer researches their options. 

However, the marginal utility of each subsequent impression follows the law of diminishing returns. The first impression might have a massive impact on brand recall. The second impression reinforces the message. The third might prompt a click. But what happens at the eighth impression? Or the twelfth? If a shopper has seen your ad twelve times and has not clicked or purchased, the thirteenth impression is unlikely to change their decision. 

The economic implications of this are severe. Every time your ad loads on a screen, you are paying for it, either directly through a CPM (cost per mille) model on DSP, or indirectly through lower click-through rates that negatively impact your ad relevance score and drive up your CPCs in the long run. If you are paying for impressions that have a near-zero probability of driving a conversion, you are spending budget with little chance of return. 

Industry data underscores the severity of this issue. Internal analyses of high-volume Amazon accounts routinely show that conversion rates can peak anywhere between three to seven ad exposures, depending on the product category. Beyond that optimal frequency band, the conversion rate plummets while the cost per acquisition skyrockets. For a high-consideration item like a $1,500 mattress, a shopper might need ten touches before they feel comfortable checking out. But for a $15 bottle of vitamin C gummies, if they haven’t bought by the fourth time they see your ad, they are probably loyal to a competitor. Without a mechanism to cut off spend after a certain number of views, US sellers are inadvertently subsidizing Amazon’s ad network with wasted impressions. 

The Evolution of Amazon Marketing Cloud (AMC)

To fully appreciate the power of the Optimal Frequency Analysis playbook, it is necessary to understand what Amazon Marketing Cloud actually is and why it changes how sellers can review ad performance. For the vast majority of Amazon’s history, sellers have been forced to rely on aggregated, last-touch attribution models provided through the standard advertising console. 

If a shopper clicked your Sponsored Product ad and bought your item, the Sponsored Product campaign got 100% of the credit. The advertising console would not tell you if that same shopper had previously watched your Streaming TV ad, clicked a Sponsored Brand placement, and viewed three Sponsored Display ads before finally converting via the Sponsored Product click. This last-touch model creates a blind spot. It heavily biases lower-funnel, intent-based search advertising while making upper-funnel awareness campaigns look entirely unprofitable. It also makes it completely impossible to track ad frequency across different ad types. 

Amazon Marketing Cloud was built specifically to solve this visibility problem. AMC is a secure, privacy-safe clean room environment where advertisers can access pseudonymized, impression-level data sets across their entire Amazon advertising ecosystem. Instead of giving you pre-packaged, aggregated reports, AMC gives you raw data tables and allows you to write custom SQL (Structured Query Language) queries to extract exactly the insights you need. 

Through AMC, you can map more of the customer journey. You can see how different ad formats interact with each other, how long the actual path to conversion takes, and, crucially, exactly how many times a unique user ID was exposed to your brand before they made a purchase. It connects the dots between Amazon DSP, Sponsored Products, Sponsored Brands, Sponsored Display, and even external traffic if you integrate your own first-party data. AMC helps sellers move from broad assumptions about campaign overlap to a clearer view of how different ad investments work together. 

Unpacking the Optimal Frequency Analysis Playbook

Recognizing that many sellers and agencies do not have dedicated data science teams proficient in SQL, Amazon has recently introduced “playbooks” within AMC. These playbooks are essentially pre-written, highly optimized SQL templates designed to answer specific strategic questions. The Optimal Frequency Analysis playbook is arguably the most valuable of these templates for immediate budget optimization. 

The core objective of the Optimal Frequency Analysis is to determine the exact number of ad exposures that maximizes your return on ad spend before diminishing returns render further impressions unprofitable. It does this by analyzing historical campaign data and plotting user behavior across a distribution curve of ad frequency. 

When you run this analysis in AMC, the system aggregates every single user who was exposed to your advertising within a specified lookback window (typically the last 30 to 60 days). It then groups these users into cohorts based on the exact number of impressions they received. Cohort 1 consists of users who saw exactly one ad. Cohort 2 consists of users who saw exactly two ads, and so on. For each of these frequency cohorts, AMC calculates the total media cost spent on that group, the total number of conversions generated by that group, the resulting purchase rate, and the overall ROAS. 

This analysis helps you see how each added impression affects performance. When you review the output of the Optimal Frequency playbook, you are not just looking at a flat average. You are looking at a dynamic performance curve. You will typically see that as frequency increases from one to two, and two to three, the purchase rate and ROAS might actually climb. This represents the “warm-up” phase, where repeated exposure successfully builds trust and intent. 

However, as you track the curve further to the right (moving from five impressions to six, and six to seven), you will inevitably spot an inflection point. The purchase rate will begin to flatten out, while the cumulative cost of serving those ads continues to rise at a linear rate. Consequently, the ROAS will start to drop. The exact impression count immediately preceding this drop-off is your key metric: your optimal frequency threshold. Any impression served to a user beyond this threshold is statistically likely to generate a negative return on investment. 

Category Nuances: Why Universal Frequency Caps Fail

One of the most critical lessons that US sellers must learn is that there is no universal “magic number” for ad frequency. The optimal frequency threshold can change a lot based on the product, price, brand strength, and buying cycle. Relying on generic industry advice, such as “always cap your DSP ads at 5 impressions per week”, can either limit useful exposure or waste budget. 

Let us contrast two hypothetical Amazon sellers to illustrate this point. 

Seller A operates in the highly competitive sports nutrition space, selling a premium pre-workout powder priced at $45. This is a consumable product, but it operates in a market saturated with bold claims, aggressive branding, and heavy customer loyalty. When a shopper is looking for a new pre-workout, they rarely buy the first one they see. They want to read reviews, compare ingredients, and assess the brand’s credibility. For Seller A, running an AMC Optimal Frequency Analysis might reveal that their ROAS peaks at eight to ten impressions over a 14-day window. The shopper needs to see the Sponsored Brand video highlighting the pump-inducing ingredients, followed by several Sponsored Display retargeting ads reminding them of the product, before they finally pull the trigger. If Seller A aggressively capped their frequency at three impressions to “save money,” they would actively cut off the customer journey right before the critical trust-building threshold. That cap could stop the journey too early and reduce conversions. 

Seller B, on the other hand, sells a $12 silicone spatula set. This is a low-consideration, impulse-friendly commodity. The customer journey is incredibly short. A shopper searching for “red silicone spatula” wants to find a well-rated product, check the price, and check out within three minutes. When Seller B runs the AMC Optimal Frequency analysis, the data tells a completely different story. The ROAS is massively front-loaded. Impressions one and two drive almost all the revenue. By impression four, the ROAS has plummeted by 80%. If the shopper hasn’t bought the spatula after seeing it three times, they have either bought a competitor’s product or abandoned the search entirely. If Seller B does not implement a strict frequency cap of three impressions, their DSP campaigns may keep showing spatula ads for weeks, draining the brand’s budget on shoppers who are unlikely to convert. 

This contrast shows why leveraging AMC’s granular data is non-negotiable for modern Amazon sellers. You must understand the specific behavioral cadence of your own buyers to set caps that enhance profitability rather than hindering growth. 

Step-by-Step: Executing the Analysis and Interpreting the Data

Running the Optimal Frequency Analysis requires a methodical approach to ensure the data you extract is accurate, statistically significant, and ultimately actionable. Here is a practical way to run the playbook and review the results. 

Step 1: Defining the Scope and Lookback Window. The first crucial decision is defining the parameters of your analysis. You cannot simply run the playbook across all campaigns for all time and expect useful data. Consumer behavior shifts seasonally, and different product lines have different sales cycles. You need to define a specific lookback window that aligns with your product’s typical time-to-conversion. For fast-moving consumer goods, a 28-day window might be sufficient. For high-ticket electronics, a 60-day or 90-day window is more appropriate. Additionally, you should segment the analysis by specific ASINs or closely related product families. Grouping a $200 appliance and a $10 accessory into the same frequency analysis will blur the data and produce a weak average. 

Step 2: Customizing the AMC Playbook. Once your scope is defined, you will utilize the AMC user interface to access the Optimal Frequency playbook. While the heavy lifting of the SQL is done for you, you must input your specific advertiser IDs, campaign identifiers, and date ranges. It is highly recommended to run the analysis across your entire omnichannel spread, including DSP, Sponsored Display, Sponsored Products, and Sponsored Brands. The true power of AMC is measuring cross-format frequency. Knowing that a user saw three DSP ads is helpful, but knowing they saw two DSP ads, one Sponsored Brand video, and two Sponsored Product placements gives you the complete picture of their fatigue level. 

Step 3: Exporting and Visualizing the Output. When the query completes, AMC will output a detailed data table. To make sense of this, you need to export the data into a visualization tool (like Amazon QuickSight, Tableau, or a robust Excel model). You want to create a dual-axis chart. The X-axis should represent the frequency cohort (1 impression, 2 impressions, 3 impressions, etc.). The primary Y-axis should be your Return on Ad Spend (ROAS) or Cost Per Acquisition (CPA). The secondary Y-axis should be total media spend or total conversions. 

Step 4: Identifying the Inflection Point. With your chart built, the interpretation phase begins. You are looking for the precise peak of the ROAS curve. Let’s say your chart shows a ROAS of $3.50 at frequency 1, $4.20 at frequency 2, $4.80 at frequency 3, $4.60 at frequency 4, and $2.10 at frequency 5. 

The pattern is clear. The optimal frequency is three impressions. The second and third impressions are highly additive, increasing the efficiency of the campaign. The fourth impression is marginally less efficient but still profitable. However, the fifth impression shows a sharp drop-off. The fatigue has set in. A practical next step would be to test a frequency cap of four impressions across the relevant media buying platforms. 

Do not treat this number as permanent. A cap that works during a normal sales month may change during Prime Day, Q4, or a major product launch. The goal is to review the pattern often enough that your campaigns do not keep using old assumptions.  

Step 5: Analyzing the Cost of Wasted Frequency. To build a business case for these changes, calculate the exact dollar amount spent on cohorts that exceeded your optimal frequency. In the example above, sum up the media cost for all users who received 5, 6, 7, or more impressions. In some accounts, a meaningful share of spend may sit in these high-frequency cohorts. This is the exact amount of capital you will free up by implementing caps, capital that can be redeployed into acquiring net-new customers at the highly profitable 1-3 frequency range. 

Taking Action: Implementing Frequency Caps in Amazon DSP and Sponsored Display

The analysis only matters if it changes how you manage campaigns. Once AMC has revealed your optimal frequency threshold, you must translate that insight into structural changes within your ad campaigns. The primary battleground for managing ad fatigue is Amazon DSP, followed closely by Sponsored Display retargeting. 

Implementing Caps in Amazon DSP. Amazon DSP offers the most robust frequency capping controls in the ecosystem. Because DSP operates on a CPM basis and allows for retargeting across Amazon-owned and third-party placements, it is the format most prone to causing ad fatigue if left unchecked. 

Within the DSP console, navigate to your line items. You have the ability to set frequency caps at both the campaign level and the line-item level. You can instruct the algorithm to serve no more than ‘X’ impressions per ‘Y’ timeframe (e.g., maximum 4 impressions per 7 days). 

Using the insights derived from your AMC analysis, adjust these caps. If your optimal frequency is four impressions over a two-week buying cycle, setting a cap of 2 impressions per 7 days ensures the user is gently reminded of your product without being bombarded. It is also critical to ensure that your frequency caps are set at the entity level rather than the device level whenever possible, ensuring that if a user switches from their mobile phone to their desktop, the impressions are still counted cumulatively. 

Adjusting Sponsored Display Retargeting. While Sponsored Display does not offer the same hard-capping numerical inputs as DSP, you can still manage fatigue through smart audience segmentation and bid optimization based on lookback windows. If your AMC analysis shows that fatigue sets in quickly, you should shorten your retargeting lookback windows. Instead of retargeting users who viewed your product in the last 30 days, tighten the audience to those who viewed it in the last 7 or 14 days. 

Furthermore, you can segment your Sponsored Display audiences by engagement type. Users who added your product to their cart but didn’t purchase might tolerate a slightly higher ad frequency than users who merely viewed the detail page and bounced. By building tighter, more intentional audience segments, you naturally reduce the likelihood of overexposing low-intent shoppers. 

The Halo Effect on Search Advertising. It is important to note that you cannot directly set frequency caps on Sponsored Products or Sponsored Brands search campaigns, as these are driven by active user queries rather than passive display logic. However, capping your DSP and Sponsored Display campaigns has a positive halo effect on your search ads. By preventing upper-funnel and mid-funnel ad fatigue, you preserve the shopper’s patience and brand perception. When they finally do type your target keyword into the Amazon search bar, they are much more likely to click your Sponsored Product ad and convert, knowing they haven’t been shown the same banners too many times that week. 

The Dangers of Ignoring Ad Fatigue in 2026

Amazon advertising is getting harder to manage profitably. CPCs have become more expensive in many categories, while fulfillment fees and competitive pressure continue to affect margins. In this environment, simply spending more is not always the safest answer. 

Ignoring ad fatigue can make wasted spend look normal. Campaigns may keep serving impressions because the budget is available, even when the added exposure no longer supports conversions. Over time, this can hurt conversion rates, increase ACoS, and reduce the value of each ad dollar. 

The brands that manage this well will not always be the ones with the largest budgets. They will be the ones that use data to understand how often shoppers need to see an ad before returns begin to drop. AMC helps make that decision more specific, so brands can shift budget away from overexposed audiences and back into higher-value opportunities. 

How SellerMetrics Elevates Your AMC Strategy

Understanding Optimal Frequency Analysis is one part of the work. Applying it across several campaigns, ASINs, and ad formats is where many brands need support. Amazon Marketing Cloud can produce useful data, but the value comes from knowing which cohorts matter, where the drop-off begins, and how those findings should change DSP and Sponsored Display settings. 

This is where a specialized Amazon Ads agency like SellerMetrics can help. We review AMC data, identify wasted frequency, and turn the findings into campaign changes that support better budget control. Instead of relying on broad benchmarks, we help brands set frequency decisions based on their own account data. 

At SellerMetrics, we run Optimal Frequency Analyses on an ongoing basis so frequency caps can adjust as campaigns, seasons, and shopper behavior change. We use these findings to reduce spend on overexposed audiences and support better decisions across DSP and Sponsored Display. The goal is simple: help more of your ad budget reach shoppers who still have a realistic chance of converting. 

If your brand is spending heavily across Amazon DSP, Sponsored Display, and Sponsored Ads, frequency should not be treated as a guess. SellerMetrics can help you use Amazon Marketing Cloud data to reduce wasted impressions, improve frequency caps, and make ad spend work harder.

FAQ: Master AMC Optimal Frequency Analysis

The post AMC’s New Optimal Frequency Analysis: Capping Ad Fatigue and Reclaiming Wasted Spend appeared first on SellerMetrics.

10 min read By Rick Wong  Updated May 09, 2026

If you are staring at your Seller Central dashboard asking, “why are my Amazon PPC ads getting clicks but no sales?” you are not alone. As an Amazon advertising strategist, I audit seven-figure ad accounts every single week, and a bleeding conversion rate is the single biggest profit-killer I see.

In our experience managing Amazon advertising for enterprise-level brands, a ‘non-converting ad’ is rarely the result of a single bad keyword. It is a symptom of a misaligned ecosystem. When sellers log into Amazon Seller Central and obsess exclusively over their Advertising Cost of Sales (ACoS), they miss the macro picture. Successful Amazon advertising management in 2026 requires understanding that every paid click is a data point feeding the algorithm.

If your ads are generating traffic but failing to close the sale, you are not just losing margins—you are actively compromising your product’s organic visibility. To fix a broken conversion rate, we must look beyond basic bid manipulation and audit the entire buyer journey: from the initial search term intent, to the AI’s understanding of your listing, down to the final delivery speed expectation.

What “Amazon Ads Don’t Convert” Really Means (And Why It Matters)

When we talk about “conversion” on Amazon, most sellers simply view it as turning an ad click into a sale. But treating a non-converting ad merely as “wasted ad spend” severely misunderstands how the modern Amazon ecosystem operates.

A lack of conversions isn’t just a hit to your daily budget; it is an active threat to your entire business model. Under Amazon’s updated Cosmo and Amazon A9 algorithms, organic ranking is heavily dictated by conversion velocity. The algorithm does not compartmentalize your paid performance and your organic performance. When you pay for hundreds of clicks that do not convert, you are actively feeding Amazon’s machine learning bad data. You are mathematically proving to the algorithm that when shoppers see your product, they do not want it.

The result? Your organic rank drops, your Total Advertising Cost of Sales (TACoS) skyrockets, and your profit margins evaporate. Diagnosing a low conversion rate isn’t just about saving your ad budget—it is about protecting your organic real estate.

Key Metrics That Reveal Why Your Amazon Ads Aren’t Converting

You cannot fix what you cannot accurately diagnose. Staring blindly at a high Advertising Cost of Sales (ACoS) will tell you that you are losing money, but it will never tell you why.

In 2026, diagnosing a bleeding ad account requires looking at relational data, not isolated numbers. High impressions or CTRs are actively damaging if they only yield window shoppers.

Below is the ultimate diagnostic framework. By identifying your specific “Metric Profile” based on how your data points interact, you can pinpoint exactly where your advertising funnel is breaking and apply the precise, algorithmic fix.

1. The “Traffic But No Trust” Metric: High CTR + Low CVR

If your Click-Through Rate (CTR) is above 0.5% but your Conversion Rate (CVR) is below 8%, your ads are doing their job, but your listing is failing. The shopper saw your main image and price, clicked with intent, but bounced upon reading your detail page. This immediately points to issues with your AI Review Summary, a lack of compelling A+ Content, or a confusing value proposition.

2. The “Window Shopper” Metric: High Impressions + Low CTR

If your ads are generating thousands of impressions but your CTR is abysmal, you are suffering from a relevance issue. You are either bidding on top-of-funnel broad match terms where the buyer has no immediate intent to purchase, or your main image and title fail to stand out against the adjacent competitors in the search grid.

3. The “Bleeding Edge” Metric: High CVR + Low Impression Share

If your conversion rate is excellent (15%+) but your sales volume is flat, you are starving your own campaigns. Your Top-of-Search Impression Share is likely critically low because your bids are uncompetitive, or your campaign is running out of daily budget by noon, leaving your competitors to capture the highly profitable evening traffic.

Mistake #1: Relying Exclusively on Legacy Keyword Targeting

If your primary targeting strategy relies entirely on downloading search term reports and stuffing them into exact-match campaigns, you are playing a game that ended in 2023. Amazon has evolved from a traditional search engine into an AI-driven answer engine.

Here is the reality for 2026: Shoppers no longer just type “garlic press.” They interact with conversational AI features, asking complex questions like, “What is the best rust-proof garlic press for someone with arthritis?” If you are only bidding on generic short-tail keywords, you are paying a massive premium for unqualified, top-of-funnel traffic that has no immediate intent to buy.

The Fix: 

Transition from Keyword Targeting to Persona Targeting, utilizing insights from the Amazon Marketing Cloud (AMC). Instead of asking what words people type, ask who is buying. Segment your campaigns to target specific behavioral groups, such as “Competitor Cart Abandoners” or “High-Value Repeat Purchasers.” By shifting your budget toward audience behaviors and leveraging long-tail, hyper-specific search queries that align with those personas, your CTRs will attract highly qualified traffic that actually converts.

Mistake #2: Listing Is Failing the “Rufus Test” (Zero-Click Searches)

You already know that poor images and a lack of A+ content will kill your conversion rate. But a silent conversion killer is operating behind the scenes in 2026: Amazon’s generative AI shopping assistant, Rufus.

When a shopper asks Rufus to compare your product against a competitor, the AI pulls data directly from the taxonomy of your product detail page. If your listing lacks explicitly structured data (such as exact material composition, compatibility specs, or warranty details), Rufus will either recommend a competitor or generate a vague summary. The result? The shopper gets their answer directly from the AI, realizes your product isn’t a fit, and you suffer a “Zero-Click” interaction. Your ad might generate an impression, but your listing’s lack of semantic clarity prevented the click and the sale.

The Fix: 

Your listing must be engineered for both human eyes and machine parsing. Audit your bullet points and backend search terms to ensure they directly answer the most common, complex questions in your niche. Your primary value proposition cannot be buried in a block of text; it must be front-loaded in the first two bullets and visually reinforced in your secondary images with clear, text-heavy infographics. When Rufus perfectly understands your product, your ads will only be shown to shoppers whose intent matches your exact offering.

Mistake #3: Ads Creative Hook Fails 

We are operating in an era of “TikTok Brain”. Shoppers scroll through Amazon with ruthless speed. If your Sponsored Brands or Sponsored Display ad relies on a generic static image and a boring headline like “Premium Quality Home Goods,” you are completely invisible.

It gets worse. Even if a shopper accidentally clicks a poorly designed ad, the cognitive disconnect between the uninspiring ad creative and the product page will cause them to bounce instantly. You pay for the click, but the conversion never happens.

The Fix: 

You must optimize for visual engagement speed. Shift your creative budget heavily toward Sponsored Brands Video (SBV). Your videos must follow the “Active Use” framework: skip the slow logo reveal and show the product solving the customer’s exact problem within the first two seconds. Furthermore, use custom lifestyle images in your Sponsored Display campaigns that visually demonstrate the scale and utility of the product. When the ad creative perfectly sets the expectation, the landing page merely has to close the deal.

Mistake #4: Campaign Structure Is Holding You Back

Combining multiple SKUs into a single ad group or strictly separating campaigns by match type (Broad, Phrase, Exact) is a legacy architecture. This outdated structure restricts your control, muddies your data, and makes it impossible to tell which specific variation or audience is actually driving profitability.

When your campaigns are structured poorly, you end up artificially inflating your bids on underperforming ASINs simply because they are dragged along by a top-performer in the same ad group.

The Fix:

Modern, high-converting Amazon accounts rely on Single-ASIN Campaigns structured around the Buyer Journey. Isolate your top-performing products into their own dedicated campaigns. From there, implement a naming convention and structure based on intent: [ASIN] – [Top of Funnel – Category Terms], [ASIN] – [Middle of Funnel – Competitor Conquesting], and [ASIN] – [Bottom of Funnel – Branded Exact]. This granular architecture allows you to isolate wasted spend down to the penny and aggressively scale the exact search terms that are driving your highest conversion rates.

Mistake #5: Bleeding Out to Amazon’s Predictive Pacing Algorithm

You might have the perfect keywords and a flawless listing, but if your daily budget is capping out by 1:00 PM, you are actively sacrificing your most profitable conversions.

Amazon’s pacing algorithms have become incredibly aggressive. If you leave your campaigns running on default settings, the algorithm will often burn through your daily budget during the morning hours, chasing high-impression, low-conversion window shoppers. By the time the evening rush hits (when shoppers are home from work, browsing on their couches, and historically highly likely to convert), your ads didn’t perform.

The Fix: 

You must take control of your visibility using Intraday Budget Rules and dayparting strategies. Analyze your hourly sales data to identify your peak conversion windows. Use bulk operations or third-party ad software to artificially suppress your bids by 20% during historically low-converting morning hours, and automatically boost your bids and budget caps by 50% specifically for the 6 PM to 10 PM evening rush. You cannot afford to run out of fuel right when the buyer is finally ready to pull out their credit card.

Mistake #6: Micro-Managing Bids

If you are spending hours every week manually downloading search term reports to adjust bids by five cents and aggressively pruning negative keywords, you are doing the algorithm’s job. And honestly, the machine is faster than you.

The “Set-It-and-Forget-It” mistake today isn’t about failing to adjust bids; it is about failing to feed the algorithm the right business context. When you over-constrain your campaigns with thousands of negative keywords, you starve Amazon’s machine learning of the data it needs to find hidden, high-converting pockets of traffic.

The Fix: 

Stop micro-managing the CPCs and start managing your profitability metrics. Allow Amazon’s campaign automation and dynamic bidding to handle the micro-adjustments. Your job as a seller is to focus on the macro: Contribution Margins and Total ACoS (TACoS). Feed the algorithm better first-party data by refining your product category mapping and utilizing Amazon’s audience insights. Your focus must shift from manual bid manipulation to strategic budget allocation across your most profitable product lines.

Mistake #7: Ignoring the Amazon DSP Remarketing Ecosystem

Many sellers believe that running Sponsored Products and a few Sponsored Brands campaigns constitutes a “Full-Funnel” strategy. It doesn’t. If you are only utilizing the search-results page, you are entirely ignoring the shoppers who clicked your ad, got distracted, and left the platform without buying.

Without a remarketing strategy, you are paying to educate consumers, only to let them buy from a competitor a week later.

The Fix: 

You must integrate Amazon DSP (Demand Side Platform) into your advertising mix. High-ticket items and highly competitive niches require multiple touchpoints before a consumer converts. DSP allows you to serve highly targeted display and video ads to shoppers across the wider internet (on Twitch, Freevee, and premium third-party websites), who previously viewed your ASIN but failed to add it to their cart. By capturing these lost leads and pulling them back to your listing, you actively lower your overall TACoS and turn wasted clicks into recovered revenue.

Mistake #8: Bleeding Spend on Poor ASIN Targeting 

It is incredibly easy to launch a Sponsored Display or Sponsored Products campaign targeting competitor ASINs. It is equally easy to burn through your daily budget without a single sale.

When you target a competitor’s product page, your ad appears directly beneath their buy box or within their carousel. The shopper is already looking at a viable product. To pull them away and secure the conversion, your offer must present an undeniable, immediate advantage. If your product is priced $5 higher, has 500 fewer reviews, or boasts a lower star rating, you are effectively paying Amazon to prove why the shopper should buy your competitor’s product instead of yours.

The Fix:

Audit your Product Targeting reports. Filter your targets using bulk operations to isolate ASINs where you have a clear competitive edge. Target products that are priced higher than yours, have inferior star ratings, or lack prime shipping. Stop fighting uphill battles; position your ads exclusively where your product is the undisputed better choice.

Mistake #9: The Mobile Truncation Trap is Killing Your Value Proposition 

More than half of all Amazon transactions take place on a mobile device. If your PPC campaigns are driving high CTRs but abysmal conversion rates (CVR), pull out your smartphone and look at your listing exactly how your customer sees it.

On desktop, your carefully crafted title and five bullet points are prominently displayed next to your images. On the Amazon mobile app, the title is heavily truncated, and the bullet points are buried deep beneath the fold, often requiring the shopper to tap “Read more” just to understand what your product actually does. If your primary selling point or crucial compatibility information is hidden in bullet point number four, mobile shoppers will never see it. They will click your ad, get confused, and bounce.

The Fix:

To optimize for mobile conversions, front-load your title with the most critical, high-converting keywords and benefits. Ensure your secondary images contain infographics and text overlays that visually communicate your bullet points. A mobile shopper should be able to understand your entire value proposition just by swiping through your image gallery.

Mistake #10: You Lose the Delivery Speed War

In the current Amazon ecosystem, having the Prime badge is no longer a unique advantage; it is the bare minimum. What dictates conversion today is the actual delivery estimate displayed on the product page.

If a shopper clicks your Sponsored Product ad and sees a delivery estimate of four days, but they know they can search organically and find a similar product with Next-Day or Same-Day delivery, they will bounce. You pay for the click, but the competitor gets the sale. This delivery gap often occurs due to inventory misallocation across fulfillment centers or relying too heavily on FBM (Fulfilled by Merchant) during peak demand periods.

The Fix:

Check your regional inventory levels and ensure your products are adequately distributed to fulfill fast shipping promises. If you are running PPC on an ASIN that is currently suffering from slow regional delivery times, pause the campaigns or lower your bids until your fulfillment speeds can match user expectations.

The Role of Reviews, Ratings, and Pricing in Ad Conversion

You can execute a flawless, full-funnel advertising strategy, but if your external trust signals are broken, your ads will never convert. In the modern Amazon landscape, comparison shopping happens in fractions of a second.

The Threat of AI Review Summaries 

Having a 4.5-star average is no longer a guaranteed safety net. Amazon now places a generative AI Review Summary at the very top of your review section, synthesizing hundreds of reviews into a single paragraph. Shoppers no longer scroll to read individual complaints; they read the AI’s bullet points. If your product has a recurring minor flaw—and that flaw makes it into the AI’s “Negative” summary bullet—your conversion rate will plummet overnight. You must utilize review analysis tools to monitor exactly what themes the AI is extracting and preemptively address those concerns in your A+ content and secondary images.

External Price Parity 

Amazon buyers are ruthless when it comes to pricing, and Amazon’s algorithms are even more aggressive. The platform constantly scrapes off-platform competitors (like Walmart, TikTok Shop, and Target) to enforce external price parity. If your product appears even slightly overpriced compared to the exact same item on another platform, Amazon may suppress your Buy Box. If you are running Sponsored Products ads while losing your own Buy Box, you are literally paying to send traffic to a hijacked listing or a suppressed page where checkout is artificially difficult. Your pricing must exist in harmony with the broader e-commerce market, not just the Amazon search grid.

Final Thoughts: Turn Ad Spend into Real Sales

Amazon ads failing to convert is one of the most frustrating, margin-crushing challenges an e-commerce brand can face. But as we have established, a low conversion rate is never a mystery—it is a highly diagnosable chain of events.

The days of relying on manual keyword stuffing and “set-it-and-forget-it” bidding are over. They utilize expert Amazon listing optimization services to align their taxonomy with generative AI prompts, they structure their campaigns around buyer personas, and they aggressively manage their intraday budget pacing to strike when buyer intent is highest.

If your impressions are up, your clicks are climbing, but your revenue is flat, it is time to stop guessing and start diagnosing.

Want a second pair of eyes on your bleeding campaigns?
Stop paying for clicks that don’t buy. Let our team of SEO and PPC specialists tear down your campaign structure and identify your exact conversion bottlenecks. Get a free, comprehensive Amazon ad account audit from our experts today.

FAQ: Fix Low-Converting Amazon Ads

The post Fix Why Your Amazon PPC Ads Are Not Converting in 2026 appeared first on SellerMetrics.

11 min read By Rick Wong  Updated May 07, 2026

Managing Amazon advertising at scale requires moving beyond the standard Seller Central console. Whether you are an agency managing millions in ad spend or an advanced seller optimizing intricate campaign architectures, mastering Amazon advertising bulk operations is the definitive path to scalability. 

In this comprehensive guide, the advertising experts at SellerMetrics break down the exact technical frameworks required to execute Amazon PPC bulk uploads flawlessly. We leverage years of hands-on campaign management to map out the exact entity hierarchies for Sponsored Products, Sponsored Brands, and advanced Sponsored Display audience targeting. 

From updating thousands of bids in seconds to troubleshooting frustrating bulk sheet errors, this resource provides the exact blueprint to streamline your Amazon advertising management and drive profitable growth.

What are Amazon Bulk PPC Uploads?

Amazon PPC bulk uploads empower advertisers to create, update, and optimize multiple campaigns at a massive scale. Managing advertising accounts with hundreds of active campaigns requires efficiency. Clicking through individual ad groups in the standard advertising console wastes valuable time and increases the risk of manual data entry errors.

Bulk operations solve this problem by utilizing formatted spreadsheets that map directly to the Amazon PPC database schema. You can download a bulk sheet, adjust your bids, add new targets, and upload the file to instantly apply thousands of changes across your account. This guide will walk you through the exact bulk sheet structures required to master Sponsored Products, Sponsored Brands, and Sponsored Display campaigns like a true advertising professional.

To access the Amazon PPC Bulk Uploads in your Amazon advertising console, you will click on the side nav bar option of “Bulk Operations.” On the “Bulk Operations” screen, you will see the option below.

On the top is the function that allows you to create a bulk sheet based on your existing campaigns. You will select the date range and other options (in most cases, keep the default).

The “3. Upload your file to update your campaign” function allows you to upload the updated bulk sheet so that your bulk changes will be reflected in the system.

Why is it Important? And How does the Expert Use It?

Bulk operation is important to Amazon PPC power users because of the flexibility and scalability that come with this function.

For example, if you want to make bid changes in 6 different campaigns, that means you will have to click in and out of these 6 campaigns on the Amazon advertising console. After your 2 campaigns, this process can get quite tedious.

On the other hand, if you are using the bulk operation, you will need will just need to filter out the keywords and campaigns on the spreadsheet, then update the “Max Bid” column on the bulk sheet.

The ability to structure and update your campaign’s ad group and targets makes the Amazon PPC bulk operations an important toolbox for all Amazon sellers and advertisers.

Scenarios to Use the Amazon Bulk PPC Upload Files

In this section, we will discuss the specific uses of bulk upload. Therefore, before you do anything with bulk operations, you need to decide whether this is the right option. It would help if you considered how many campaigns you are managing and how many changes you want to make. If you are new to the Amazon advertising console and modify a small number of changes, sticking with the advertising console might be a better way to go.

There are many different scenarios where the bulk operation could be of use when streamlining your overall Amazon Advertising Management. Below are some of the scenarios:

• Bulk update on bids as mentioned earlier bid updating in multiple campaigns
• Bulk updates on Campaigns names
• Bulk updates on status (Campaign/Ad Group/Levels)
• Bulk update on Bidding Strategy
• Bulk add campaigns/ad group/targets/ads
• Bulk update on Match Types
• Bulk update on Campaign Budget
• Add a large number of targets with corresponding bids

Sponsored Products Bulk Files

Sponsored Products bulksheets can create and manage the following two campaign types:

• Auto Campaigns
• Manual Campaigns / Automated PPC Campaigns

Depending on which campaign type you want to create, the structure of your bulk sheet will be different.

Follow entity hierarchy and required fields to ensure that your bulk sheet for Sponsored Products is accepted. You can see the sponsored product entity hierarchy below.

If you want to update or add to certain hierarchy levels, you will also need to provide all the information above.

For example, if you want to add a keyword to a campaign, you will need to provide all the data levels above the keyword level. This means you have to provide 1) Campaigns Name 2) Ad Groups Name 3) Then the keyword you want to add.

Below is an example if you want to Add a Keyword in an existing Campaign, using Sponsored Product Bulk file:

Even though some values are blank, you require all fields above for a valid worksheet.

Create Bulk Upload via Amazon Advertising Console

If you want to update the existing campaigns down to the targeting level, a more straightforward way is by using the existing amazon bulk upload template.

To download the existing campaigns go to the Create & download a custom spreadsheet section in the Bulk operations tab, as mention previously

Using the above check boxes allows you to customize what information goes into bulk sheet (but its recommend to keep the default settings):

• Date Range select what the start and end date you want to populate in your bulk sheet is
• Terminated campaigns by having this unchecked, you will show campaigns that have been ended, stopped, deleted, or rejected.
• Campaign items with zero impressions: by having this unchecked, you include rows of data where the impression is zero during the selected date range. Recommend to have this checked, as having this unchecked can mean a larger than necessary bulk sheet
• Placement data for campaigns:having this unchecked will show the placement data of the campaigns, such as Top of shopping results, Product Detail Page, and Other Placements.
• Brand assets data: by having this unchecked, will show a Brand Assets Data tab will appear in the downloaded bulk sheet.

After creating and downloading your Bulk Sheet, filter out what you want to update. Update the value in the column.

For example, I want to pause the ‘substitutes’ targeting in my auto SP campaign called “cbfb12-auto”. I would go to the specific row for the ‘substitutes’ targeting and update the row’s status to ‘paused.’

The above process is a quick way to make bulk updates without 1) having to update in the advertising console and 2) without having to create the bulk sheet from scratch.

Bulk Sheet Structure Scenarios for Sponsored Products

To successfully upload a Sponsored Products bulk file, your spreadsheet must follow a strict hierarchy: Campaign ➔ Ad Group ➔ Keyword / Product Target ➔ Ad. Below is a blueprint of how your columns and rows should be structured when creating a new manual keyword campaign from scratch.

*Note: Always ensure that the exact text used in the “Campaign Name” and “Ad Group Name” columns matches perfectly across all rows, or Amazon will reject the upload.

Sponsored Brands Bulk Files

Sponsored Brands bulksheets can create and manage the following two campaign types:

• Keywords Campaigns
• PAT (Product Attribute Targeting) Campaigns

Depending on which campaigns type you want to create, the structure of your bulk sheet will be different.

Like Sponsored Product, creating a bulk sheet for Sponsored Brand needs to follow the entity hierarchy and its required fields. You can see the sponsored brand entity hierarchy below

Bulk Sheet Structure Scenarios for Sponsored Brands

Sponsored Brands require slightly different formatting because they include creative assets. Here is how you structure a bulk file to add new keywords to an existing Sponsored Brands campaign. Because the campaign already exists, we only need to define the Keyword entities and utilize the Update operation.

Sponsored Display Bulk Files

Sponsored Display bulk sheets can create and manage two primary targeting tactics:

• Audience Targeting: Reach specific shopper segments both on and off Amazon based on views, remarketing, interests, and lifestyle signals.
• Product Targeting (Contextual Targeting): Target specific competitor ASINs or related product categories to capture high-intent shoppers browsing exact detail pages.

Creating a bulk sheet for Sponsored Display requires strict adherence to the entity hierarchy. For Sponsored Display, the hierarchy flows as: Campaign ➔ Ad Group ➔ Product Ad ➔ Targeting Tactic (Audience or Contextual) / Negative Product Targeting.

Note: In your spreadsheet, you must define the targeting tactic by entering “Audience targeting”, “Contextual targeting”, or “Negative product targeting” into the “Entity” column (Column B).

Bulk Sheet Structure Scenarios for Sponsored Display

When working with Sponsored Display Audience campaigns, you are swapping traditional keywords for Audience IDs. Each pre-built Amazon audience has a specific string ID that you must use in your bulk file. Here is the structure for updating bids on specific audience targets.

*Strategic Note: If a specific audience is draining your budget with poor conversion rates, you can instantly pause it by changing the “State” column to “Paused” and uploading the sheet.

How to Target Audience with Sponsored Display Bulk Operations?

Bulk operations provide the most efficient way to scale your Sponsored Display campaigns, but technical execution requires a solid strategic foundation. Sponsored Display shifts the focus away from traditional keyword targeting. It allows advertisers to reach specific shopper segments using a massive catalog of Amazon audience data.

You can deploy these campaigns rapidly using your bulk sheets. Before populating your spreadsheet rows, you need to understand the exact audience types at your disposal.

Amazon Audiences

Amazon curates thousands of pre-built audience segments using first-party shopping and streaming signals from properties like Twitch, IMDb, and Prime Video. These segments fall into four main categories:

• In-market: These are shoppers actively browsing “in the aisle” for products within specific categories. Targeting in-market audiences helps you capture share of mind against direct competitors.
• Lifestyle: These segments reflect viewing and purchasing behaviors that map to specific lifestyles. Examples include foodies, sports enthusiasts, or tech fanatics.
• Interests: You can engage groups of buyers who share common interests based on their historical browse and purchase data.
• Life Events: This targeting option introduces your brand to shoppers navigating major life moments. You can target users who are traveling soon or preparing for a new baby.

Custom-Built Audiences and Views Remarketing

If you want to maintain strict control over your targeting parameters, custom-built audiences are the answer. Views remarketing enables you to engage high-intent shoppers who viewed specific product detail pages within the past 30 days without making a purchase.

You can define these audiences by targeting shoppers who viewed your own advertised products, products highly similar to yours, or general products within a specific browse node. You can then refine these targets in your bulk files using attributes like price range, star rating, and Prime shipping eligibility.

Eligibility and Ad Placements

Only vendors and sellers officially registered in the Amazon Brand Registry can utilize Audience targeting. Once active, these ads appear both on Amazon across product detail pages and shopping results, as well as off Amazon on third-party websites and applications.

Integrating Amazon Marketing Cloud Insights

Sophisticated advertisers do not guess which audiences will perform best. You can extract audience overlap reports and path-to-purchase data from Amazon Marketing Cloud to identify your most profitable shopper segments. Once you identify these high-converting segments in AMC, you can format them directly into your Sponsored Display bulk upload files to update bids across hundreds of targets simultaneously.

Amazon Bulk PPC Common Errors

Error 1004 – Failed to create ad group [Ad Group Name], [Number of Ads] ads were not created

Resolution for Error 1004:

We were unable to create the ad group you tried to add, so we could not add the ads associated with that ad group. Resubmit your file once you have confirmed all required fields are included in the ad group.

1005 – Failed to create campaign, [Number of Ads] ads were not created

Resolution for Error 1005:

We were unable to create the campaign you tried to add, so we could not add the ads associated with that campaign. Resubmit the file once you have confirmed all required fields are included in the campaign line.

1012 – Duplicate row at position [Position], first row was processed and all other duplicates were ignored.

Resolution for Error 1012:

Your bulk file contains a duplicate row in the position listed, so that row has been ignored. When you submit multiple rows with the same information, we will accept the first row and ignore others. In this case, take no action.

2201 – Incomplete header, or bulk file is not in .xlsx or .csv format

Resolution for Error 2201:

The system was unable to recognize your bulk file header. Generally, this is because your file is missing campaign information or is was uploaded in an incorrect format. Confirm that your header is complete, you have at least one campaign, and that your file is an Excel (.xlsx) or Comma Separated Values (.csv) file, and then resubmit it. Review the Sponsored Products template for more information on the structure and required values.

2203 – Unknown campaign: [Campaign Name]. This campaign does not exist in your Bulk File or within your account, [Number of Ads] Ads were not created

Resolution for Error 2203:

The campaign you reference in your bulk file upload does not already exist and was not included as a line in your upload, so we did not make any changes. To create a campaign, you must add a campaign line to your upload, including the following fields:

• Campaign Name
• Campaign Daily Budget
• Campaign Start Date
• Campaign End Date
• Campaign Targeting Type
• Campaign Status
• Please add a campaign line to your file then resubmit it.

2204 – Unknown ad group: [Ad Group Name]. This ad group does not exist in your Bulk File or within your account, [Number of Ads] Ads were not created

Resolution for Error 2204:

The ad group you reference in your bulk file upload does not already exist and was not included as a line in your file, so we did not make any changes. To create an ad group, you must add an ad group line to your file, including the following fields:

• Campaign Name (of an existing campaign or campaign you are creating)
• Ad Group Name
• Max Bid
• Ad Group Status
• Please add an ad group line to your file then resubmit it.

3004 — Missing required field: [Field Name]

Resolution for Error 3004:

This error indicates that your spreadsheet lacks a mandatory data point required for the specific entity you intend to modify or establish. For instance, if you submit a new keyword entry without specifying the “Match Type,” the Amazon advertising console will automatically reject that record. To resolve this, examine the specific row flagged by the system, ensure it aligns with the necessary entity hierarchy, provide the missing [Field Name] data, and re-upload your document.

5004 — ASIN is not eligible for advertising

Resolution for Error 5004:

The ASIN you are targeting fails to satisfy Amazon’s policy or retail readiness criteria. Common triggers include inventory shortages, missing images, loss of the Buy Box, or restricted category status. To fix this, verify the product status within your inventory dashboard. Amazon will restore advertising eligibility once these retail hurdles are cleared.

3012 — Bid is out of range

Resolution for Error 3012:

The value in your spreadsheet is outside the allowed bidding boundaries for the specific targeting type. Ensure your numerical entry in the “Max Bid” column is above the minimum (typically $0.02) and below the platform ceiling. Modify the bid in the flagged row and resubmit your worksheet to apply the update.

How can SellerMetrics help with Bulk Updates?

SellerMetrics allows the bulk editing of Keywords/Audience/Product Targeting bids. In the screen Manual Optimization Keywords, you can see the target level data with its corresponding bid and performance. You can also further filter the data by:

• Date Range
• Accounts
• Text Search (Campaign/Ad Groups/Keywords)
• Type Search (Campaign Targeting Type/Advertising Product/Match Type)
• Metrics Filter (Bid/Impressions/Clicks/Spend/Orders/Sales/ACoS/RoAS/CTR/CVR/CPC)

After you filter out the keywords, you can make a bulk update by selecting individual checkboxes beside the keyword, or you can select all by clicking on the select all check box on the top right.

Upon the check box selection, the change bid function will appear. Then, you can change the bid in the following ways:

• Increase from Bid (Bid + X)
• Decrease from Bid (Bid – X)
• Change Bid to CPC
• Change to $ (Bid = X)
• % Increase from CPC
• % Decrease from CPC
• % Increase from Bid
• % Decrease from Bid

By continuously bulk updating the bid, you can effectively and efficiently optimize your Amazon PPC campaigns using SellerMetrics manual bulk bid function.

Conclusion

Developing a command over Amazon advertising bulk operations has transitioned from a niche skill to an absolute necessity for those looking to scale within a competitive landscape. Though the technical nature of these spreadsheets may initially seem daunting, the granular control they provide enables a level of campaign management and velocity that the standard console fails to provide.

When you progress past basic bid changes to utilize Sponsored Display Audiences and Views Remarketing, you gain the ability to engage shoppers at various points of their buying process. Additionally, folding sophisticated data from Amazon Marketing Cloud into your bulk sheets helps convert raw numbers into a robust, growth-oriented methodology.

Regardless of whether you are utilizing In-market segments for launches or protecting your market share via remarketing, bulk operations serve as the primary driver for expansion. Once you learn to navigate the technical hurdles, you can shift your focus from tedious data entry toward high-level brand strategy.

FAQ: All About Amazon Bulk PPC Upload

The post How to Use Amazon Bulk PPC Uploads & Audience Ads appeared first on SellerMetrics.

How to add keywords of an existing Sponsored Products or Sponsored Brand campaign

To either add or remove keywords to existing Amazon PPC campaigns follow these steps:

• Navigate to the “Campaign Manager” section
• Click into the campaign you want to edit
• Select the ad group you want to edit
• Go to the “Targeting” tab
• Select “Add Keywords” next to the search bar

Please note that you cannot update keywords by changing the keyword text. Instead, you should pause or archive an existing keyword, and then add new ones to the campaign.

How to remove (pause) keywords in an existing Sponsored Products or Sponsored Brand campaign

Removing keywords from a campaign works similar:

• Navigate to the “Campaign Manager” section
• Click into the campaign you want to edit
• Select the ad group you want to edit
• Go to the “Targeting” tab
• Toggle off the status button in the “Active” column for the keywords you wish to pause or remove

As a next step, you may also want to learn more about how to add negative keywords to Amazon PPC campaigns.

How to change the campaign bidding strategy for Sponsored Products campaigns

For Sponsored Products ads Amazon offer three basic bid strategies: Dynamic bids (down only or up only), fixed bids and rule-based bidding that allows Amazon to determine how high or low your bids are (based on a ROAS target that you set). This is how you can change your bidding strategy:

• Navigate to the “Campaign Manager” section
• Click into the campaign you want to edit
• Select “Campaign Settings”
• Navigate to the “Campaign bidding strategy” section
• Choose the right bidding strategy for your entire ad campaign

How to change keyword bids (for Sponsored Products or Sponsored Brand campaigns)

In situations where you want to edit keyword level bids you can do so by:

• Navigate to the “Campaign Manager” section
• Click into the campaign you want to edit
• Click into the appropriate ad group
• Go to the “Targeting” tab
• Find the relevant keywords to adjust by either:
• Clicking “Apply” in the “Suggested bid” column to automatically use a suggested bid, or
• Increasing or decreasing your bid in the “Keyword bid” column
• Click “Save” to update changes

To figure out how to set appropriate bids read our complete guide on Amazon PPC Bidding Strategy and our blog posts on: Amazon PPC suggested bid and Bid Management for Amazon PPC.

How to edit creatives of live campaigns (Sponsored Brand and Sponsored Display)

You can edit the products included, headline copies, swap out still visuals or videos and logos in a live campaign without needing to re-creating the respective Sponsored Brands and Sponsored Display campaign. Your existing campaign will continue to run until the new creatives have been system approved. Here is how to change creatives:

• Navigate to the “Campaign Manager” section.
• Click on the campaign you want to update.
• Click on the “Creative” tab which will preview your latest creative.
• Click on the “Edit creative” button on the preview toolbar and make your edits.
• Click “Submit campaign” for review.

How to change the target audience for Sponsored Brand and Sponsored Display Campaigns

Not that you can either add new, or remove existing audiences to your live campaign. To do so follow these steps:

• Navigate to the “Campaign Manager” section
• Click into the campaign you want to edit
• Click into the appropriate ad group
• Click on the “Targeting” tab
• Select “Audiences” and make your edits.
• Click “Submit campaign” for review.

Need help beyond simple edits?

If you need more help beyond just making basic campaign edits, take a look at our Amazon Advertising Management Services, Amazon Product Listing Optimization Services and Amazon SEO Services that have helped some 30+ Amazon Sellers generate more than $600m in Amazon sales.

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