Client Retention

Client

Global Financial Institution

Scope

Client churn probability calculation

About

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

About

How does it work?

Upload Data
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Data Visual

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Artificial Intelligence Graphic
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Visualisation Graphic
Goal

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

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Solution

Client Retention Dashboard – main features

 

Fluctuation  Example Graphic
Input

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

A minimum of 12 months of historical data

Output
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