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CU Rise Analytics

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  Member Segmentation

Segmentation is a process of identifying members with similar past behavior and segregating them. This is done by using accessing and analyzing the past performance of the members. CU Rise employs various statistical algorithms to build segmentation schemes and blend it with business acumen.

Since these days, Credit Unions have really focused on deepening relationships with the members, segmenting them makes the most sense.

Segmentation will help in achieving:

  • Increased Cross-sell
  • Increased loyalty
  • Segment based targeting
  • Optimized marketing
  • Managing Attrition
  • Mitigating Risk
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