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Customer Retention for Data Scientists with Causal AI

9/22/23

Source:

causalLens on Medium

Tech Talk

Causal customer retention requires a different approach to the standard data science workflow. Instead of aiming for a black box predictive model with post-hoc explainability, a structural causal model (SCM) is created.

Why Causal AI for customer retention?


Traditional, correlations-based, machine learning approaches often fail to make an impact on improving retention.

  • They focus on predicting churn but not recommending the optimal next step/intervention.

  • They lack explainability & trust from marketing executives.

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