Predicting churn early: signals to forecast

You do not need a machine learning model to predict churn. You need a rule you can defend in a renewal meeting and a weekly habit. Today, how to predict churn early from the support tickets and calls you already have. Start with the reading. Take tickets and call notes and read them per account month by month, not as a queue. Tag each ticket for the patterns from lesson two. A repeat theme, a tone shift, escalation language, a competitor name, silence after a spike. On calls, note who attended as well as what they said.

Is the champion still in the room? Did they raise a competitor unprompted? Keep the quotes. One row per account, one timeline. Now the scoring rule. Three steps. Pair it, prove it, price it, pair it. Score combinations, not counts. A repeat theme plus a competitor mention is high. Escalation plus an absent champion is high. Any single pattern on its own, watch. Prove it. Say how many independent records support the score. Tickets from two different people and a call is strong. One ticket from one person is weak.

Price it. Show the contract value and the renewal date beside the score. Then set a floor. Above it, someone owns a play this week. Before anyone acts, run one test. Why did it move? If you cannot answer in one sentence with a quote or a date behind it, do not act on the score. Fix the rule. The test protects you twice. It stops false alarms and it tells the owner exactly what to say on the call. Here is account K. This month, reporting tickets repeat and the champion is missing from the last call.

That is a high pair. Proof. Tickets from two different people plus the call. Strong. Price. Account K's contract value and renewal date sit right beside it. Why did it move? The reporting problem keeps coming back and our champion has gone. One sentence, it passes. Account K crosses the floor. Then make it a habit. Half an hour, same time every week. Customer success lead and account owners, three questions. Which accounts crossed the floor? Which moved and why? Which plays are due? Every account above the floor leaves the meeting with one owner.

Keep the notes so next week starts where this one ended. Three mistakes to avoid. First, building before you have a rule. Learn which signals matter first. Second, scoring counts. More tickets is not more risk. Third, a list with no meeting. A score nobody reviews is a dashboard, not a prediction. This week list every account that renews in the next two quarters, one row each. Tag last month's tickets and calls. Score the pairs, count the sources, and add the value and renewal date. Then book the weekly review and bring the top three.

Customer intelligence explained is presented by Hyper Orbit, a Gentic customer intelligence. Learn the full method for predicting churn from support and call signals free at hyperorbit.ai.