How DTC Brands Use AI to Predict Customer Churn

The DTC Marketing Podcast with Fexingo: Direct-to-Consumer Brands, Shopify, and E-Commerce Growth · Oct 16, 2026 · 9m · transcript

Most direct-to-consumer brands treat customer data as a retrospective ledger, but the real opportunity lies in predictive modeling. We examine how companies like Warby Parker and Casper are shifting from reactive retention campaigns to proactive churn prediction using machine learning. This episode breaks down the specific metrics that matter — such as first-order defect rates and engagement decay — and why predicting who will leave is more valuable than trying to win back those already gone.

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