Case Study

Avoiding member loss

Churn Prediction for a political party

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 partner, the Rhineland-Palatinate association of a political party, has recently seen an increase in the number of members leaving the party. This trend shall be broken by more intensive and proactive communication with the party members.

Roxana Dragomir

Your contact person

Roxana Dragomir

Partner & Business
Development Manager

Our Solution

To prevent even more members from leaving the party, we developed a software based an artificial intelligence that is able to predict which members are about to leave or likely to leave in the near future based on data.

This early recognition enables the party to take countermeasures to retain its members. The software also allows party members to be segmented according to age, gender, level of education, etc. As a result, the party’s central messages can be delivered more specifically.

Value-added for all sectors

What members are to a party, customers are to a company. Churn prediction can be used across industries and based on different data signals to identify at an early stage when a customer plans to cancel a contract or switch to another provider.

Appropriate countermeasures can prevent the customer from leaving and establish a long-term relationship with the company.

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