FTC Alleges Amazon Inflated Search Ad Prices During Peak Events

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The FTC's unsealed complaint reveals Amazon allegedly raised search ad prices significantly during Prime Day and holiday seasons, affecting advertiser costs and performance between 2021 and 2023.

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The Federal Trade Commission (FTC) and 22 state attorneys general have brought forward allegations that Amazon concealed substantial price inflations in its search advertising auctions during key shopping events from 2021 to 2023. These claims suggest Amazon employed covert methods to increase the cost-per-click (CPC) advertisers paid on its platform, exceeding typical auction results and adversely impacting campaign performance.

Understanding Amazon’s Alleged Price Increases During Key Events

The newly unsealed documents detail how Amazon reportedly used “soft reserve prices” to elevate CPCs by up to 50% on regular days and as much as 250% during high-traffic periods, including Prime Day and the holiday shopping seasons. Soft reserves in auctions act as internal price floors, potentially increasing final CPCs above competing bids without the advertiser’s knowledge.

For example, during the 2021 holiday season, average CPCs reportedly rose 20%, with some advertisers experiencing spikes over 200%. The 2022 holiday season allegedly saw Amazon generate an additional $87 million in worldwide ad revenue through these secret surcharges, while Prime Day 2023 had instances of over 100% price increases for large clients in categories such as food and beverage. Internally, Amazon even recognized these surcharges reduced advertiser return on ad spend (ROAS), negatively affecting campaign effectiveness.

The Role of Reserve Pricing in Auction Dynamics

Unlike minimum bids required to enter auctions, soft reserve pricing allows Amazon to increase the price paid by winning advertisers above what competing bids would have yielded. While Amazon asserts advertisers never pay more than their maximum bids and can sometimes win placements below these reserves, the FTC alleges the company failed to disclose these mechanisms transparently, misleading advertisers about how final CPCs were determined.

Advertiser Reactions and Amazon’s Responses

Between 2021 and 2023, some advertisers questioned Amazon about mysterious CPC spikes, suspecting changes to the auction process might be involved. The complaint notes exchanges where advertisers inquired if alterations in the second price auction model were responsible, only to receive assurances that no such changes or bugs had occurred.

One Amazon account manager stated, “After reaching out to the product specialist team we were informed there is not a bug, or a change in auction style, so no worries there. This year the marketplace is even more crowded than any year previous, and we are seeing the spike in CPCs [costs-per-click] as a direct reflection.”

This response arguably deflected from the actual cause, which the FTC alleges relates to the undisclosed application of reserve pricing to meet internal revenue goals. Emails included in the complaint reveal discussions about generating an additional $40 million in 2023 through these reserves to satisfy corporate financial targets.

Implications for Advertisers and Campaign Analysis

These revelations call for advertisers and agencies managing Amazon Ads campaigns to reassess historical performance data, particularly during peak event windows from 2021 through 2023. Benchmarking future campaign KPIs against potentially inflated CPC periods may lead to unrealistic expectations and misinterpretations of advertising efficiency.

It is recommended to separate the impact of cost inflation from actual shopper behavior or conversion trends when analyzing performance around major sales events such as Prime Day, Black Friday, or Cyber Monday. Tracking CPC alongside metrics like conversion rate and impression share can clarify whether efficiency declines correlate with price increases or diminished customer intent.

Agencies should also consider briefing clients and internal stakeholders with documented context regarding these findings to explain unusual ROAS fluctuations during the specified timeframe, aligning expectations and strategic planning.

Relevant tools that integrate data analysis and automated monitoring can provide real-time insights to detect pricing or performance anomalies, ensuring campaign managers act promptly and optimize budgets effectively. Solutions such as Adsroid’s features facilitate such analysis by connecting marketing stacks to AI-driven tools.

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Comparisons to Other Advertising Platforms and Trends

While this case specifically pertains to Amazon’s search advertising auction pricing, it reflects larger industry concerns regarding transparency and auction mechanics across digital advertising platforms. Similar dynamics exist in systems like Google Ads and Meta Ads, where auction design and bidding strategies heavily influence costs and performance.

For instance, Google’s recent innovations in AI Mode and shifts in paid and organic search placements have affected query volumes and ad pricing strategies, as detailed in analyses of platform trends. Advertisers can learn from cross-platform insights, such as those found in Google’s Q3 2026 search revenue trends, to better anticipate pricing behavior and optimize budget allocation.

Legal and Regulatory Context

The FTC’s ongoing legal action against Amazon highlights increasing scrutiny by regulators over fairness and disclosure in digital ad auctions. The transparency of auction pricing is crucial for advertisers to trust these platforms and allocate marketing spend confidently.

Past investigations and court cases have set precedents concerning deceptive practices and the expectation that platforms provide accurate information about how advertiser costs are calculated. As this case proceeds, its outcomes may influence platform policies, industry standards, and advertiser rights.

Remaining Questions and Developments to Watch

The unsealed complaint focuses on the 2021 to 2023 timeframe but leaves open questions regarding whether similar pricing practices continued beyond 2023 and which specific Amazon ad formats were systematically affected. Although Amazon denied wrongdoing in its initial responses, the evolving public record may shed further light on the validity and scope of these allegations.

Advertisers and media strategists should stay informed of legal updates and be prepared to adjust approaches as new information emerges. Meanwhile, leveraging comprehensive campaign analytics and integrating AI-powered monitoring tools remains a prudent practice for mitigating risks associated with potential pricing anomalies.

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Conclusion: Navigating Amazon Ads In A Changing Auction Landscape

Amazon’s alleged undisclosed pricing surcharges during peak shopping seasons underscore the need for vigilance and data-driven strategies in digital advertising. While the legal process unfolds, advertisers must critically evaluate historical benchmarks and adopt sophisticated tools to interpret performance trends accurately.

Combining expert analysis with technology solutions such as AI agents for Google Ads and AI agents for Meta Ads can empower teams to optimize campaigns amid evolving platform auction dynamics.

For marketers seeking to enhance transparency, strategic insights, and responsive optimization, platforms offering integrated analytics and AI capabilities, like Adsroid, are valuable assets in maintaining competitive advantage and maximizing ad spend efficiency.

Continued vigilance, adaptation, and leveraging advanced tools will enable advertisers to navigate the complexities of digital auction pricing and regulatory changes effectively.

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About the author

Picture of Danny Da Rocha - Founder of Adsroid
Danny Da Rocha - Founder of Adsroid
Danny Da Rocha is a digital marketing and automation expert with over 10 years of experience at the intersection of performance advertising, AI, and large-scale automation. He has designed and deployed advanced systems combining Google Ads, data pipelines, and AI-driven decision-making for startups, agencies, and large advertisers. His work has been recognized through multiple industry distinctions for innovation in marketing automation and AI-powered advertising systems. Danny focuses on building practical AI tools that augment human decision-making rather than replacing it.

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