CausalML

Uplift Modeling for Post-Enrollment Customer Spend in Rewards Program

The X-Learner algorithm, a metalearning technique for causal inference, as implemented in Uber’s CausalML package. The X-Learner is particularly effective for estimating heterogeneous treatment effects. The objective was to assess the causal impact of enrolling in a rewards program on customer spending. Utilizing data on customer transactions, we aim to identify how enrollment in the rewards program affects post-enrollment spend.