Design a multi-touch attribution model
WHAT IT TESTS: spreading credit across a long journey. OUTLINE: pick a model (time-decay, position-based, or data-driven Shapley), stitch touchpoints by user identity into ordered paths, then assign fractional credit.
WHAT IT TESTS: whether you can distribute conversion credit fairly across many touchpoints in a long journey, and build the pipeline behind it. ANSWER OUTLINE: choose a model such as time-decay, position-based (U-shaped), or a data-driven Shapley/Markov approach; explain the trade-off of rules versus learned credit. For data, resolve identity across channels, collect timestamped touchpoints, sessionize them into ordered paths per user, define a conversion window, then compute fractional credit and aggregate by channel.
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- #attribution
- #marketing-analytics
- #identity-resolution
- #data-pipeline
- #conversion
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