Case Study

Churn prediction

AI-powered tool to prevent member churn in co-innovation with SPD.

DDG AG develops AI- and data-based products and services in a co-innovation with medium-sized companies and establishes innovative joint ventures as a result.

Our co-innovation partner, the Rhineland-Palatinate SPD parliamentary group, wants to use AI to identify members who are about to leave at an early stage and to be able to initiate appropriate preventive measures.

Roxana Dragomir

Your contact person

Roxana Dragomir

Partner & Business
Development Manager

The Solution

To prevent members from leaving the party, we have jointly developed software that uses artificial intelligence to predict which members are about to leave on the basis of data. To do this, the software examines various criteria of the members and can derive appropriate actions based on empirical values. Early detection enables the party to take countermeasures to retain its members. The software also allows party members to be segmented according to criteria such as age, gender, level of education, etc., so that the party’s key messages can be communicated much more precisely. Translated with (free version)

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