Contractual churn
The formal end of a subscription or contract. The event is clear; the goal is to warn before it happens.
How it works
From data to signal. From signal to action.
Churnico works in five layers. Each takes the output of the previous one, validates it and passes a more meaningful input to the next.
Five layers
01 / 05
Data
Subscription, billing, usage, support and digital channel records are unified at customer level.
Output
Unified customer view
Churn is defined around your business.
Churn isn't the same thing in every industry. A customer who cancels a contract and one who quietly stops using a service are handled differently. Churnico starts by agreeing with you on the definition that matters.
Behavioural churn
The customer never cancels, they simply stop. Loss is measured as a break from their own normal rhythm.
Rollout
From first call to daily operations.
- 01
Discovery
Business goal, churn definition and current data inventory are agreed.
OutputScope and data map
- 02
Data preparation
Sources are unified; quality issues are reported and resolved.
OutputData quality report
- 03
Signals and hypotheses
Churn hypotheses are tested; confirmed, revised and rejected ones are separated.
OutputHypothesis catalogue
- 04
Model and validation
The model is built, tested out of time, and its limits are written down.
OutputValidation report
- 05
Operations
Scores and action lists reach the teams and are regularly tested against outcomes.
OutputDashboard and action list
Before you start.
What data do we need?
To begin: a customer identifier, subscription start/end dates and at least one behavioural source (usage, billing or support). Every additional source widens signal coverage.
Do we need to share personal data?
No. Churnico is designed to work with anonymised customer identifiers. Names, phone numbers or addresses are not needed.
Do we have to change our existing systems?
No. Churnico works from exports of your existing records; outputs reach your teams as a dashboard, lists and reports.
How do we know the model works?
Scores are compared with churn that happens after they were produced. Validation results are reported together with their limitations.
See your churn risk in your own data.
Let's talk through your data in a short call and assess together which signals Churnico can read in your customer base.