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[4D3-OS-33c-03] Estimating the Effect of Pricing Strategies at the Price List Level
Keywords:Causal Inference, Bayesian Structural Time-Series Model, Pricing, Causal Impact
Quantitatively evaluating how pricing strategies contribute to customer acquisition is crucial. In our company, product prices are structured as tables, which allow combinations of delivery days and set. However, since prices cannot be differentiated for customers at the price list level, it is impossible to estimate effect sizes through A/B testing. In this study, we grouped treatment and control groups for pricing strategies at the price list level and estimated acquisition effects using a causal inference approach.
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