Client Retention


Global Financial Institution


Client churn probability calculation


Client retention dashboard


Our client retention dashboard predicts the probability of a client churn – also the probability, that a client cancels a subscription-based service. Our model is applicable in any subscription-based context, e.g. banking, insurance, telecommunication, newspaper subscriptions. Our references are in the banking industry.
The self-learning artificial intelligence based model uses ca. 200 attributes to predict the probability of the client attrition. A unique feature is the ability to automatically verbalise the detected churn reasons.


Retention Dashboard


How does it work?

Upload Data

Data Visual

Artificial Intelligence Graphic
Visualisation Graphic

The goal is to drive the fluctuation of the customers in a way that maximizes profits:


Keep profitable customers​

Replace loss-generating customers with profitable ones or transform them into profitable ones

Clients Icon

Client Retention Dashboard – main features


Fluctuation  Example Graphic

Minimum 150-200 data points per client per month describing client behavior

A minimum of 12 months of historical data

Expected churn probability for the coming 6 months per client​
Displayed in an easy to interpret & actionable report


How good is the prediction?
80 percent

Prediction accuracy is above 90% (based on project experience)


Model Retraining Frequency

We recommend a retraining every 3-6 months

Churn Dashboard Screenshot