Each retail media platform uses different attribution models, windows, and definitions. Understanding these differences is critical for accurate performance comparison and budget allocation.
Attribution Window Differences
Amazon uses a 14-day click attribution window. Walmart uses 14-day click and 1-day view. Target varies by product. These differences mean the same campaign performance looks different depending on the platform's measurement methodology.
Walled Garden Challenges
Retail media data stays within each platform's ecosystem. You can't deduplicate across retailers or compare with external attribution guide data easily. This makes unified measurement challenging but not impossible.
Standardizing Cross-Platform Metrics
Create standardized definitions: aligned attribution windows, consistent cost calculations (including platform fees), and normalized ROAS comparisons. Export data via APIs to your marketing data warehouse for unified analysis.
Measuring Incrementality
The biggest question: did retail media ads drive sales that wouldn't have happened otherwise? Use holdout tests, geographic experiments, or spend-on/spend-off tests to measure true incremental value. See causal measurement for methodologies.
How Xplainr Helps
Xplainr normalizes retail media attribution data across platforms, enabling apples-to-apples comparison of Amazon, Walmart, and other retail media performance.
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Related Resources
- Cross-Channel Attribution
Integrate retail media into your broader attribution model.
- Data Warehousing
Store and normalize retail media data for analysis.