Member Attrition, and How Analytics Can Help Avoid It

Published on November 20, 2017

A free case study brought to you by AdvantEdge Analytics and CUNA Strategic Services.

For most credit unions, alleviating member attrition is at the top of the priority list. To that end, credit unions look to enhance the member experience through their offerings, technology and services. But which members are more likely to leave the credit union? What is the best offering to convince them to stay? What is their channel preference? How do they want to be engaged? 

That’s where predictive analytics comes in. Predictive analytics can help identify what members want (before they need it) and those members likely to leave. Read AdvantEdge Analytics’ recent article to learn more.

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