Client Retention

Client Global Financial Institution
Scope 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