New framework estimates coupon effectiveness using causal inference

A new framework is proposed for estimating the effectiveness of coupon timing in marketing campaigns without requiring expensive A/B testing software. This approach utilizes causal inference on naturally occurring randomized control trials to measure coupon impact at critical customer journey moments. The framework's utility is demonstrated through its application to a user onboarding coupon campaign and a user retention campaign using a publicly available dataset, aiming to improve data-driven business decisions and research reproducibility. AI

IMPACT This research offers a method for optimizing marketing strategies through data-driven insights, potentially improving customer engagement and retention.

RANK_REASON The item is an academic paper published on arXiv detailing a new framework for causal inference in marketing. [lever_c_demoted from research: ic=1 ai=0.4]

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