The new standard: How benchmarks are transforming performance evaluation

Advertisers invest heavily in advertising—but without clear performance context, they lack the insights needed to optimize effectively. How do you know if your results are competitive? Where should you allocate budget next? What does "good" actually look like in your category? Amazon Ads benchmarks answer these questions by providing self-service insights that deliver comprehensive performance context, enabling advertisers to evaluate their brand's category performance across ad formats and campaign goals.

"The New Standard: How Benchmarks Are Transforming Performance Evaluation," a white paper from Amazon Ads, reveals how data-driven benchmarks are reshaping advertising decisions.

Most advertisers rely on ad hoc analysis rather than ongoing, trended benchmark data because accessing reliable benchmarking insights is hard. This creates a gap in their ability to track performance evolution and identify emerging patterns. This white paper shows how intelligent peer matching and statistical rigor can transform backward-looking insights into forward-looking strategy.

Key insights from the white paper include:

• Confident investment decisions: Evaluate new opportunities with category-specific context, reducing risk and identifying optimization priorities against true peers
• Intelligent peer matching: Discover how hybrid K-Nearest Neighbor (KNN) and Large Language Model (LLM) approaches identify genuinely comparable competitors—not just categorical lookalikes
• Privacy-first methodology: Understand how benchmarks maintain statistical rigor while protecting individual advertiser confidentiality