Why Your Attribution Model Ignores Retail Media Networks - Marketing Analytics with Fexingo

Topics in this episode

marketing attribution Retail media networks Walmart Connect Amazon ads attribution blind spot

Episode notes

Episode 96 of Marketing Analytics with Fexingo dives into a blind spot in most attribution models: retail media networks. Lucas and Luna unpack why Amazon Ads, Walmart Connect, and other retailer-owned ad platforms break standard last-click and multi-touch models. They walk through a concrete example: a skincare brand that ran a $200,000 campaign on a major retailer's network. The ad drove 12,000 direct sales on-platform, but the brand's attribution model credited only 3,700. The missing 8,300 conversions were attributed to 'organic' or 'direct' - even though they were directly caused by the retail media ad. The hosts explain the structural reason: retail media networks operate inside a walled garden where purchase data lives on the retailer's server, not the brand's tracking pixels. They discuss practical fixes, including using the retailer's own attribution tools, applying incrementality tests, and triangulating with panel-based measurement. The episode closes with a forward-looking question: as retail media grows toward $100 billion globally, will brands demand more transparent measurement, or will the walled gardens win?

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