Multi-Channel Attribution Framework

Build a multi-channel attribution framework to evaluate true channel contribution across the full customer journey, with tooling recommendations and a measurement plan.

Digital Marketing SpecialistClaudeChatGPTGeminiHighUpdated Mar-26

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Prompt

I need to build a multi-channel attribution framework to better understand how our marketing channels contribute to conversions. Business model: Typical customer journey length: Channels in use: Current attribution model: Tech stack: Key conversion events: Team capability: Please produce a comprehensive attribution framework covering: 1. Attribution model options — explain first touch, last touch, linear, time decay, position-based, and data-driven models with pros, cons, and ideal use cases for each 2. Recommended model — which approach fits our situation best and why 3. Data requirements — what signals, events, and identifiers need to be captured for this model to work 4. Implementation blueprint — step-by-step technical and operational setup, including tracking, stitching anonymous to known users, and handling cross-device journeys 5. Tooling recommendations — native platform tools vs. third-party MTA solutions vs. custom SQL-based modelling, with honest trade-offs for each 6. Channel contribution analysis — how to produce a report showing each channel's true contribution to pipeline and revenue 7. Common attribution pitfalls — view-through inflation, direct traffic misclassification, dark social, and how to handle them 8. Reporting cadence and governance — how often to review, who owns it, and how to handle model updates 9. Executive narrative template — how to present attribution findings to leadership in a way that drives budget decisions If clarifying questions would improve the depth or accuracy of this framework, ask them now.