How Multi-Touch Attribution Hides Your Best Channels

Marketing Analytics with Fexingo · 2026-07-03 · 7 min

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Topics in this episode

Multi-touch attribution Marketing attribution models Last-click attribution attribution modeling bias channel performance measurement

Episode notes

Lucas and Luna dig into why multi-touch attribution models often misrepresent which marketing channels actually drive conversions. Using a real-world example from a mid-size e-commerce brand that switched from last-click to a custom multi-touch model and saw its Facebook campaign credit jump 40% while organic search credit dropped 30%, they explain the core problem: model design choices like decay curves and algorithmic weighting inject subjective assumptions that can distort channel performance. They contrast algorithmic attribution with simpler heuristic models, discuss why fractional attribution can over-credit top-of-funnel channels, and offer practical advice for marketers: run parallel models, validate with incrementality tests, and never take an attribution model's output as objective fact. This episode gives listeners a concrete framework for auditing their own attribution setup and asking the right questions of their analytics team.

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