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Why Detail Matters for Causal Analytics? Prepping Your Data to Drive Impactful Decisions
Data Detail is Crucial:Â To perform causal analytics like Marketing Mix Modeling, you must preserve raw, event-level data (joint distributions). Summary reports (marginals) discard the necessary context to attribute success to specific combinations of customer traits.
Avoid the "Average" Trap:Â Aggregated data can hide the true story. Two completely different customer behaviors can look identical in summary reports, making accurate attribution impossible without the raw source
Steven Ho
2 days ago5 min read
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