Online accounting platform
Churn Prediction & Forecasting
Two models: one predicts at-risk customers, the other recommends the next action to take.
A predictive system built on two models. One scores churn risk and forecasts key metrics to inform decisions; the other recommends the next action to take on each at-risk account. So the team knows not just who is leaving, but what to do about it.
You see who is about to leave and what to do about it, while there is still time to act.
The challenge
By the time churn shows up in the numbers, it is usually too late to act. The team needed an early signal for who is at risk, and just as importantly, what to actually do about each account.
What we built
- One model scores churn risk and forecasts the metrics that drive decisions.
- A second model recommends the next action to take on each account.
- At-risk accounts surface early, each with a reason.
- The team sees who is leaving and what to do about it.
How it works
- 1
Feed in account and usage signals.
- 2
One model scores risk and forecasts; another picks the next action.
- 3
At-risk accounts surface with a recommended action.
Key capabilities
Decision model
Scores churn risk and forecasts metrics to inform decisions.
Action model
Recommends the next action for each at-risk account.
Risk scoring
Ranks customers by likelihood to churn.
At-risk alerts
Flags accounts that need attention now.
The payoff
- Not just who is leaving, but what to do about it.
- At-risk accounts flagged early, with a reason.
- Retention effort goes where it actually matters.
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