Optimizing Paid Media to Achieve 970% ROAS with Amazon Ads in 2026
Maintaining profitability on Amazon amidst rising click costs demands rigorous, continuous bid optimization and hyper-targeted keyword selection. A successful Amazon Ads campaign eliminates wasted spend and maximizes every dollar to drive exceptional Return on Ad Spend (ROAS). This performance-focused deep dive breaks down the exact mechanics of structuring high-converting campaigns from the ground up. Featuring practical checklists and mini-exercises, it equips e-commerce sellers with the precise steps needed to refine their targeting, scale their sales pipeline, and achieve massive profitability on the world's largest retail platform.
Case Study: Generating a 970% Return on Ad Spend (ROAS) in 30 Days. Many sellers struggle to maintain profitability on Amazon due to rising click costs. Using our SeedAds service, we took over a client's lead-generation and sales pipeline on the platform. In just one month, through rigorous keyword targeting and bid optimization, we generated over $970 in Amazon sales with a minimal $100 ad spend, delivering a massive 970% ROAS.
TL;DR
- Amazon's advertising revenue grew from $56.2B in 2024 to $68.6B in 2025, a 22% YoY surge that signals a fiercer auction every single quarter (Amazon, 2025).
- Retail media hit $53.7B in 2024 (+23% YoY), meaning more budgets are chasing the same high-intent inventory (IAB, 2024).
- 970% ROAS isn’t a fluke; it maps directly to ROAS ≈ (CVR × AOV) / CPC, three levers you control with structural discipline.
- Sponsored Brands CPC jumped 28% YoY in Q1 2025; without a rigorous paid media strategy and clean match-type segmentation, such inflation silently kills margins (Tinuiti, 2025).
- Partnering with experienced PPC management services, like BusySeed, demonstrates how disciplined campaign execution can achieve these massive results.
What Does It Actually Take to Hit 970% ROAS on Amazon? Is It Even Real?
Yes, 970% ROAS on Amazon is possible and reproducible under specific conditions. While we cannot guarantee every account will reach this level within 30 days, the mechanics behind it are real and documented.
This performance was achieved for an actual client using strategic media buying and paid ads. In 30 days, the client achieved a 970% ROAS and an ACoS of roughly 10.3% with a $100 ad spend allocation. As Amazon sellers, we must evaluate whether such metrics are scalable. This post reveals how we achieved these results and how they can be replicated.
Before diving into the case study, let’s establish a baseline for your current Amazon paid media strategy.
Amazon Ad Auction is Getting Harder Each Year. Why?
The Amazon auction is becoming more competitive as more money chases finite inventory. Amazon’s advertising services revenue reached $56.2B in 2024 and grew 22% to $68.6B in 2025. This growth stems from more brands paying higher prices for ad space, not from Amazon expanding its inventory.
The retail media sector spent $53.7B in the U.S. in 2024, up 23% YoY, according to the IAB/PwC’s 2024 Digital Advertising Report. Growth in commerce media is expected to decelerate to 13.2% in 2025, according to the IAB’s 2025 Outlook Study (IAB, 2025). High ROAS from well-managed campaigns translates to a hard margin for CFOs. As competition grows, poorly structured paid ads will quickly drain your budget. Savvy media buying ensures you do not overpay for low-converting clicks.
Rising ad spend doesn’t necessarily mean ROAS must decline. The key to offsetting the increasing cost of Amazon’s finite inventory is to eliminate waste from the outset. A disciplined paid media strategy ensures that every dollar spent contributes to measurable returns.
How Does the Math Behind 970% ROAS Actually Work?
ROAS (Return On Ad Spend) is not a random outcome; it is a result of controllable variables. By adjusting these variables, sellers can directly influence their ROAS. The formula ROAS ≈ (CVR × AOV) / CPC highlights three critical levers: conversion rate (CVR), average order value (AOV), and cost per click (CPC).
To increase conversion rate, sellers must target more specific keywords and optimize product detail pages (PDPs) for higher conversions. Driving traffic through paid ads without optimizing your PDP limits your conversion potential. As competition intensifies, the difference between converting 2% and 3% of visitors can significantly impact ROAS, especially as CPCs rise. Effective media buying revolves around understanding this equation deeply.
Increasing average order value is another effective strategy. This can be achieved through bundling products, leveraging Amazon’s Subscribe & Save feature, or offering larger sizes at a lower per-unit price. Many campaigns have seen ROAS improvements by focusing on AOV.
The case study demonstrated that an ad spend allocation of $100 drove $970 in sales, resulting in a 9.7x ROAS and 10.3% ACoS. If your category can achieve similar ROAS, scaling is worth exploring.
However, as spend increases, ROAS and ACoS typically decline. It’s crucial to review campaign architecture to ensure it can support higher spend without compromising efficiency. A well-structured paid media strategy is essential for maintaining performance at scale. If you want to know exactly which levers to pull for your specific products,
BusySeed can audit your campaign architecture to find your most profitable path forward.
What Does a Waste-Proof Keyword System Look Like, And How Do You Build One?
The biggest source of wasted ad spend allocation is keywords that never convert. Even relevant, high-intent search queries can drain budgets if they fail to drive sales. Unlike dynamic ad positioning, where Amazon may move ads to less visible placements while still charging full price, high CPCs on relevant queries are simply the cost of doing business in a competitive auction.
Structuring campaigns for high ROAS on Amazon Marketing Services (AMS) follows a three-step process: harvest, isolate, and negate. Top-tier PPC management services prioritize this three-step process to maximize efficiency.
- Amazon recommends launching an automatic targeting campaign to harvest search terms. This campaign type targets keywords automatically and performs well in the short term.
- After two weeks, export the search terms report, isolate high-performing terms, and migrate them to a manual campaign, where you can bid on them individually for optimal ROI.
- Poorly performing terms from the auto campaign should be negated to prevent future waste.
Another critical factor in achieving high ROAS is structuring manual campaigns by match type. Exact match keywords, which typically yield the highest conversion rates, should be bid at the highest levels. Broad match keywords, used for discovery, should be bid lower.
Many sellers make the mistake of bidding all keywords at the same level, ignoring the significant differences between match types. Amazon’s guidance on Sponsored Products targeting emphasizes that exact-match keywords can be bid aggressively for maximum returns, while broad-match keywords should be bid conservatively.
Negative keywords are another powerful profit lever. Rather than treating them as a housekeeping task, sellers should view them as a direct way to eliminate waste. We recommend waiting until a search term accumulates around 20 clicks before adding it as a negative. This ensures data-driven decisions and prevents wasted ad spend allocation.
Mini-Exercise: The Negative Keyword Audit
Export your Search Term Report, then filter for terms with spend above your threshold but with zero orders. Add these as negative exact- or phrase-match keywords if you identify a pattern. Amazon’s ads optimization guide provides additional details on this process.
Conduct this audit bi-weekly to uncover hidden waste in your paid media strategy. This step is crucial for keeping your paid ads highly targeted, and it is a standard procedure used by professional PPC management services to preserve budget. If you lack the time or resources to run these bi-weekly harvests, the team at
BusySeed can expertly manage your negative keyword lists to protect your budget.
Is Bid Optimization in 2026 Really Just About Raising and Lowering Numbers?
Bid optimization in 2026 extends far beyond simply adjusting keyword bids. While this is a fundamental aspect of PPC management services, modern optimization requires a deeper understanding of three core mechanics:
- Dynamic Bidding: Amazon’s dynamic bidding feature can increase your maximum CPC bid by up to 100% for high-converting placements. However, the impact on ROAS depends on your ad’s average order size and conversion rate. Sellers must monitor when and where Amazon increases bids to ensure alignment with their paid media strategy.
- Placement Adjustments: Sponsored Products campaigns allow bid multipliers of up to 900% for specific placements, such as Top of Search and Product Pages. With dynamic bidding enabled, Amazon may increase bids by up to 100% above your set maximum (for example, a $1.00 bid could become $2.00 in an auction). Applying a flat bid increase across all placements can significantly reduce ROAS.
- Intent-Based Targeting: When you bid on Amazon, you’re purchasing two things: placement and buyer intent. To maximize ROAS, you must pay the highest price per conversion for the highest-converting intent at the highest-converting placement.
This approach transforms how you view keyword research and overall media buying, allowing you to optimize your ad spend allocation for peak performance.
How Does Your Product Detail Page Affect Your ROAS? Isn’t That a Separate Problem?
Your product detail page (PDP) is an integral part of your ad system. Treating it as a separate issue is one of the most expensive mistakes in paid ads. Leading PPC management services recognize that ad performance relies heavily on page experience. Amazon’s experts note that high click-through volumes with low sales often stem from mismatches between ad promises and PDP content. Shoppers expect consistency between the keywords they search for and the product they find on the PDP.
Beware of "Click Shock":
Amazon’s advertising library provides expert advice on common Sponsored Ads mistakes, noting that click shock, where high click volumes fail to convert, often occurs when the PDP doesn’t align with the keyword’s promise (Amazon, 2025).
To avoid this, ensure that all PDP elements (images, copy, pricing) confirm the keyword’s intent within seconds of a shopper clicking your ad. A well-optimized PDP is essential for maximizing ROAS in your paid media strategy.
BusySeed can help you bridge the gap between your ad creatives and your PDP, ensuring every single click has the highest possible chance to convert.
PDP Conversion Checklist:
- Visual confirmation: Does your main image visually confirm the keyword intent within one second, no interpretation required?
- Search language: Does your title include the exact search language shoppers use (based on your search term report, not guesswork)?
- Pricing: Are you priced within a credible range compared to competing products?
- Application: Does your primary image set represent the product’s use or application for the intended buyer?
- Buyer-focused copy: Are your bullet points written for the buyer, not the algorithm? Do they answer common pre-purchase questions?
If your PDP fails any of these checks, it may be limiting your media buying performance. A well-optimized PDP is essential for maximizing ROAS in your paid media strategy.
Amazon Paid Search Advertising Campaign Structure & Payscale for Amazon Seller Accounts
We recommend the following campaign structure for a scalable paid media strategy on Amazon. This architecture was used in the 970% ROAS sprint and can be applied to both campaigns and individual products.
The 8-Step Campaign Build Checklist:
- Initial Run of Automatic Targeting: Launch an automatic targeting campaign to collect data from all available targeting options. Set a conservative daily budget and let it run for 10-14 days before optimizing.
- Pull your search term report, filter for terms with conversions, and isolate them for manual campaigns.
- Create a Manual campaign using exact-match terms: These terms have already converted and should form the foundation of your new campaign. Use your target ACoS and category average CPC as guides.
- Build a manual phrase-match campaign: Set bids lower than those for exact-match variations of the same root word. These keywords will include variations that may still convert but require lower bids.
- Lower your auto campaign bids: The auto campaign now serves as a discovery tool rather than a primary driver of ROAS. Allocate your paid ad budget according to this hierarchy.
- Create a Negative Keyword List: After 10-14 days, review search term data and add non-converting terms as negatives. Apply these across all campaigns to prevent future waste.
- Place bid by placement: Use conversion data to set bid multipliers for high-converting placements, such as Top of Search. Adjust bids based on performance to optimize ROAS.
- Schedule a bi-weekly campaign review: Analyze search term reports, review conversion data by placement, adjust bids, add new negatives, and migrate converting terms to manual campaigns. Disciplined review and ad spend allocation are key to compounding returns.
This structured approach is the backbone of effective PPC management services on Amazon and can deliver 970% ROAS sprints for paid ads.
How Do You Know If Your Media Buying Strategy Is Actually Scaling or Just Spending More?
Many Amazon sellers claim their increased ad spend results in more sales, but the real question is whether it improves ad performance. The true test is whether ROAS holds as spend increases.
If ROAS remains stable while spend doubles, you’re scaling successfully. However, if ROAS declines while ACoS increases, you’ve likely exhausted your high-intent keywords and are now targeting low-converting terms. When you scale your budget without the expertise of professional PPC management services, you will often see diminishing returns.
Different ad formats on Amazon have unique optimization requirements. Sponsored Products, Sponsored Brands, and Sponsored Display each have distinct CPC dynamics and conversion patterns. Treating them identically in your media buying approach can lead to overfunding some formats and underfunding others.
According to Tinuiti’s Q1 2025 Digital Benchmark Report, ad format performance varies drastically (Tinuiti, 2025):
- Sponsored Products CPC increased by only 1% YoY.
- Sponsored Brands CPC surged 28% YoY, while click volume declined.
This disparity highlights the importance of format-specific optimization in your paid media strategy.
Skai’s Q4 2024 Quarterly Trends Report found that average CPC in retail media increased from $1.19 in Q4 2023 to $1.22 in Q4 2024, with click volume also rising. Query-level targeting and controls are now more critical than bid-level adjustments for maintaining ROAS (Skai, 2025).
To confirm successful scaling, test ROAS after increasing spend by 20%. If ROAS holds or declines slightly, you’re scaling effectively. If ROAS drops significantly, you’ve likely exhausted high-intent keywords, and remaining terms are better suited for awareness than performance. A disciplined paid media strategy ensures that scaling doesn’t come at the expense of efficiency.
Campaign Performance Comparison: Structured vs. Unstructured Approach
| Factor | Unstructured Campaign | Structured SeedAds Approach |
|---|---|---|
| Keyword targeting | Broad match heavy, minimal segmentation | Exact → Phrase → Broad hierarchy with intentional bid tiers |
| Negative keywords | Rarely updated | Bi-weekly harvest-and-negate cycle |
| Placement adjustments | Default (no adjustments) | Data-driven placement multipliers up to 900%, where CVR warrants |
| Search term migration | Ad hoc or never | Auto → Manual migration on a defined cadence |
| PDP alignment | Not checked systematically | Promise-matching checklist applied before launch |
| Bid strategy | Dynamic bids or manual, not monitored | Dynamic bids monitored with placement-level context |
| 30-day ROAS ($sold / $spent) | Variable, mostly in the 100% - 300% area | 970% in documented SeedAds sprint |
| ACoS | Often 30–60%+ | ~10.3% |
| Ad spend efficiency | Significant waste on non-converting queries | Waste systematically eliminated |
What's the 2026-Forward View? Is Attribution Changing the Rules?
Attribution is evolving, and sellers serious about scaling paid ads must adapt. Research published via Cornell University's arXiv in 2025, titled "Amazon Ads Multi-Touch Attribution," defines Amazon’s approach as a combination of randomized controlled trials and machine learning to attribute touchpoints with the same accuracy as aggregate analysis (Cornell University, 2025).
By 2026/2027, optimizing a paid media strategy on Amazon will require a focus on incrementality, measuring the additional sales generated by ads beyond what would have occurred organically. This shift away from last-click attribution will redefine how sellers evaluate ROAS.
Many optimized accounts fail to achieve 970% ROAS because their PDPs and other elements aren’t optimized to match the conversion rates driven by campaigns. Performance varies significantly by category. The best-performing categories often feature high PDP conversion rates, which, when combined with aggressive negative keyword management, can yield exceptional returns. Products with 4.7+ star ratings and 2,000+ verified reviews typically see above-average ROAS, as these metrics signal immediate trust and credibility to shoppers.
Common Pitfalls to Avoid When It Comes to Your Amazon Paid Advertising to Reach Higher ROAS
Avoiding common mistakes is critical for achieving high ROAS in your paid media strategy. Partnering with expert PPC management services, like
BusySeed, can help you navigate these pitfalls effectively. Below are the most frequent pitfalls and how to address them:
Most Common Mistakes:
| Mistake | Failure Modes |
|---|---|
| Applying a flat paid media strategy across all ad formats | Sponsored Products, Sponsored Brands, and Sponsored Display have different CPC dynamics and conversion patterns. Treating them identically leads to overfunding some formats and underfunding others. |
| Neglecting placement information in media buying | Sponsored Products campaigns are keyword-level auctions, but placement (e.g., Top of Search, Product Pages) significantly impacts conversion rates. Ignoring placement data directly reduces ROAS. |
| Disconnected PDP from ad spend allocation | Even well-optimized paid ads will underperform if the PDP doesn’t convert. Aligning PDP content with ad promises is essential for maximizing ROAS. |
| Scaling spend in an unoptimized structure | Increasing ad spend allocation without a validated structure only amplifies waste. Optimize for ROAS first, then scale incrementally. |
Beyond the Sprint: Long-Term Scaling and AI Integration
While hitting a 970% ROAS in a sprint is entirely possible with a $100 budget limited to your highest-converting keywords, scaling to $1,000 or $10,000 per month introduces broader, more competitive terms that naturally compress ROAS.
The most effective way to structure professional PPC management services for this kind of long-term growth is to combine an Auto campaign for data harvesting with Manual campaigns for exact and phrase-match. The ultimate goal of long-term scaling is to keep your ACoS as close as possible to your product’s category margin (ideally 15% below).
To achieve this, AI and machine learning should act as your co-pilot. Generative tools excel at automating keyword discovery and PDP optimization, and Amazon’s dynamic bidding adjusts bids in real-time based on conversion likelihood.
However, a sustainable paid media strategy still requires you to set the intent signals manually. By prioritizing ethical and responsible ad spend allocation, you ensure your budgets target high-intent queries that drive incremental sales without cannibalizing organic traffic.
Integrating AI into your workflow while maintaining strict manual segmentation is the true secret to scaling your media buying and ensuring your paid ads grow profitably alongside your retail business.
BusySeed specializes in blending advanced AI tools with manual strategic oversight to build these long-term growth engines.
The Bottom Line: Structure Beats Tricks Every Time
The Amazon auction is becoming more expensive. In 2025, Amazon reported $68.6B in advertising revenue. As the market matures, sellers are adopting a more sophisticated paid media strategy, rendering old tricks ineffective. However, the opportunity for discipline-based success remains vast for savvy sellers and marketers.
Most accounts, even large ones, suffer from significant waste, illogical placement-based bidding, and PDP optimization siloed from paid ads. The 970% ROAS sprint achieved by SeedAds resulted from precise keyword intent alignment and PDP promise matching, ensuring highly efficient media buying.
The mechanics of paid advertising are now exposed. Sellers must choose between treating their Amazon account as a full-blown operation requiring constant attention and running a "set it and forget it" system that slowly erodes profits. The former yields a 10.3% ACoS, while the latter leads to a severe decline in ROAS. The path to profitability lies in professional, continuous PPC management services.
If you want an expert to pressure-test your plan and optimize your ad spend allocation to maximize ROI, let's talk!
BusySeed will audit your current setup, build a practical optimization roadmap, and pilot the structural changes that matter most right now.
Connect with us at BusySeed if you are ready to rebuild your Amazon strategy from the ground up and turn your campaigns into a compounding growth engine.
Frequently Asked Questions
1. What are the best AI solutions for targeted advertising on Amazon in 2026?
Focus on query-level optimization, dynamic bid adjustments, and PDP content generation. Tools like Amazon’s own dynamic bidding feature, third-party generative AI platforms, and dedicated software can enhance targeting precision. However, AI should complement, not replace, a structured paid media strategy. For example, AI can identify high-intent keywords, but manual oversight is required to ensure alignment with your brand’s goals and ad spend allocation.
2. Which are the top AI platforms for ethical advertising solutions on Amazon?
Top AI platforms prioritize transparency, data privacy, and measurement of incrementality. Platforms like Skai, Pacvue, and Teikametrics offer AI-driven tools that align with ethical advertising practices. These platforms provide insights into query-level performance, enabling sellers to plan their media buying responsibly while maximizing ROAS. Ethical AI tools also help sellers avoid wasteful spending on low-intent queries, ensuring that every dollar contributes to sustainable growth.
3. What are the best solutions for data-driven generative optimization in Amazon Sponsored Ads?
Data-driven generative optimization in Amazon Sponsored Ads involves using AI to generate high-converting ad copy, PDP content, and keyword suggestions. Tools like Helium 10, Jungle Scout, and Sellics offer generative AI features that analyze search term data and competitor performance to optimize listings. However, the highest returns come from combining generative AI with a clean campaign structure. For example, AI can suggest high-performing keywords, but manual segmentation into exact-match, phrase-match, and broad-match campaigns is necessary to maximize returns.
4. What are the best ethical AI tools for paid media on Amazon?
The best ethical AI tools prioritize transparency, incrementality, and responsible budgeting. Platforms like Intentwise and Perpetua provide AI-driven insights and ensure budgets are allocated strictly to high-intent queries. These tools also help sellers measure the incremental impact of their paid ads, ensuring that campaigns drive additional sales rather than cannibalizing organic traffic. Ethical AI tools are essential for building a sustainable advertising framework that aligns with brand values.
5. How can I improve generative engine performance for Amazon Sponsored Ads?
Improving generative engine performance requires a combination of AI-driven insights and manual optimization. Start by using generative AI tools to analyze search term data and suggest high-converting keywords. Next, segment these keywords into exact-, phrase-, and broad-match campaigns to control intent and bid levels. Finally, optimize your PDP content using AI-generated suggestions to ensure alignment with keyword promises. A disciplined strategy that combines AI with manual oversight will yield the best results for generative engine performance. Many brands turn to specialized PPC management services to bridge the gap between AI tools and human strategy.
Works Cited
- Amazon. "Amazon Annual Report 2025." SEC.gov, 2025, https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm.
- Cornell University (arXiv). "Amazon Ads Multi-Touch Attribution." arXiv.org, 2025, https://arxiv.org/abs/2508.08209.
- IAB. "Digital Ad Revenue 2024." IAB.com, 2024, https://www.iab.com/news/digital-ad-revenue-2024/.
- IAB. "2025 Outlook Study." IAB.com, 2025, https://www.iab.com/wp-content/uploads/2025/09/IAB_2025_2H_Outlook_Study_September_2025.pdf.
- Tinuiti. "Q1 2025 Digital Benchmark Report." MediaPost.com, 2025, https://s3.amazonaws.com/media.mediapost.com/uploads/TINUITI_Q1_2025_Digital_Benchmark.pdf.
- Skai. "Q4 2024 Quarterly Trends Report." Skai.io, 2025, https://skai.io/wp-content/uploads/2025/01/Skai-Q4-2024-Quarterly-Trends-Report.pdf.
About the Author
Omar Jenblat is a powerhouse in the digital marketing landscape, renowned as the Founder and CEO of BusySeed, an award-winning agency that has scaled over $1B revenue for 550+ businesses through high-performance growth strategies. With a technical foundation in computer engineering, Jenblat bridges the gap between complex data analytics and creative marketing, specializing in aggressive revenue scaling, SEO, and multi-channel lead generation. As a member of the Forbes Agency Council, The Org, and a visionary entrepreneur behind ventures like LeadChaser.ai, The Honest Agency, and Zeed Agency, he has established a global footprint by leveraging a "human-led, AI-assisted" philosophy to drive measurable ROI for major brands and startups alike. His expertise is characterized by a focus on digital automation and performance-driven results, consistently positioning his firms at the forefront of the evolving technological landscape.
