Customer Retention & Lifecycle Analytics — Churn, LTV, and Cross-Sell Models

Churn rarely arrives without warning. Revology co-designs the churn, lifetime-value, and cross-sell analytics — and, where it fits, the always-on agents — that flag at-risk accounts before the revenue is gone. We build the machine-learning platform that scores each customer's probability of churning in the next 60, 90, or 180 days and tells your salespeople why: usage decline, product fit, service friction, or price exposure. It runs inside your CRM and data warehouse with explainable drivers, so customer success and sales work from a risk list, not a hunch. Not every team needs an autonomous agent here — many simply need the model and the dashboard wired into the workflow they already use. In one B2B distribution engagement, the model flagged 500+ at-risk accounts at 80–90% accuracy and helped cut churn by roughly 30%. When paired with pricing work, typical year-one impact includes 200–400 bps of gross profit and a measurable reduction in revenue at risk.