====== Why subscription churn should end split tests ====== ===== The checkout obsession ===== Most split tests end at checkout. A winner is chosen based on: * Conversion rate * Front-end revenue * EPC * Cost per acquisition In subscription funnels, checkout is not the finish line. It is the starting point. CBSplit was built to treat churn as a decisive signal. ===== Subscription churn reveals misalignment ===== Churn is not random. It often reflects: * Messaging mismatch * Billing confusion * Expectation gaps * Value misalignment If a variant increases churn, it signals structural weakness. Continuing to scale that variant magnifies damage. ===== Early wins can hide churn instability ===== A variant may: * Increase initial conversions * Boost trial signups * Improve front-end ROAS If it also: * Reduces first rebill success * Increases cancellation rates * Shortens subscription lifespan It weakens long-term profitability. CBSplit evaluates subscription durability before declaring victory. ===== Churn compounds over time ===== Even small increases in churn: * Reduce cohort-based LTV * Lower net revenue * Shift breakeven points * Alter scaling thresholds Churn-driven erosion is gradual but powerful. Short-term metrics rarely capture compounding loss. ===== Subscription churn impacts processor health ===== High churn often correlates with: * Increased refunds * Chargeback risk * Customer dissatisfaction * Support strain Ignoring churn can create operational instability. CBSplit integrates churn signals into test evaluation. ===== A churn spike should invalidate early results ===== If a variant shows: * Statistically significant conversion lift * Increased front-end revenue But also shows: * Higher early cancellation * Weaker rebill survival * Lower cohort retention The lift is misleading. Churn should trigger re-evaluation or termination of the test. ===== Lifecycle-aware testing changes decision timing ===== In subscription funnels, evaluation must include: * First rebill cycle * Early churn stabilization * Refund window closure * Cohort-level retention patterns Ending tests before these signals mature produces incomplete decisions. CBSplit extends test duration to capture lifecycle impact. ===== Durable revenue outweighs rapid growth ===== Short-term growth without retention leads to: * Inflated metrics * Fragile scaling * Margin erosion * Increased risk Subscription churn is a direct measure of durability. Tests that ignore churn reward instability.