Stop churn before it becomes a cancellation notice.
Customers rarely leave without warning — but the warnings are scattered across systems that no one is watching together. Declining usage, rising support tickets, slower payments, fewer logins: individually unremarkable, collectively a clear exit signal.
Teams that respond to cancellations are playing defence at the wrong moment. The window for effective retention intervention closes weeks before the customer calls.
Usage frequency & recency decay · Support ticket volume & sentiment · Engagement with communications · Payment pattern changes · Net promoter & satisfaction indicators · Contract milestone proximity · Cross-product adoption breadth
We work with you to define churn precisely for your business — lapsed contracts, cancelled subscriptions, inactivity thresholds — then map every available signal across your data estate.
We engineer features that capture decay over time: engagement momentum scores, support escalation patterns, payment behaviour shifts — the signals that precede churn by weeks or months.
Each customer receives a continuously updated churn risk score, segmented into actionable tiers — so teams focus intensive effort on high-risk accounts and automated nudges on medium-risk ones.
We embed risk scores and guided playbooks into your CRM, Teams, or service platform — with optional AI-assisted retention agents that surface account context and recommended outreach in real time.
A global B2B services company transformed its retention programme with predictive churn models, Azure OpenAI-powered retention assistants, and risk dashboards — protecting $10M in recurring revenue in the first year.
Read the case study →When stakeholders were uncertain about methodology, we implemented both interpretable and ensemble approaches — validating through cross-validation and business workshops to build the organisational trust that enabled a global rollout.
We can analyse your existing data and produce a risk distribution map before any engagement begins.
Request a risk assessment