SaaS Retention and Churn

Retention is where pricing and product either compound or quietly leak. A strong acquisition engine cannot outrun a base that churns, and net revenue retention is the single metric investors read first because it captures both at once. AI raises the stakes on both sides: it can flag at-risk accounts earlier, and it can inflate expectations no model actually meets.

This cluster covers churn prediction approaches, the build-versus-buy decision, what AI genuinely changes about retention measurement, and the ACV caveats that make a median NRR number meaningless on its own. Named tools, real mechanisms, and where each approach fails.