Causal Impact Campaign Analysis
This skill guides the analyst through measuring the causal effect of a marketing campaign or business intervention on a target metric using Bayesian structural time series methods. The skill encodes hard-won lessons from real client engagements — particularly around short-lived campaigns, retail seasonality, and honest statistical communication.
The approach runs two independent Bayesian methods (tfcausalimpact and CausalPy) for robustness, includes a rigorous
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