Case Study

Personalized Campaigns Deliver 3X More CDs

Michigan Schools and Government Credit Union wanted to increase CD sales—but instead of casting a wide net, they turned to Rise Analytics for a more intelligent approach. Using machine learning and predictive modeling, Rise helped MSGCU deliver personalized offers to the members most likely to act. 

Key Results at a Glance

• 11x higher CD open rate vs. traditional targeting
• $7.4M in new certificate balances
• 3x more CDs opened than MSGCU’s internal campaign

In this case study, you’ll discover how MSGCU used Rise Analytics to improve campaign performance through predictive modeling and tailored outreach. In a direct comparison to the credit union’s traditional targeting strategy, the Rise-selected audience opened 11 times more CDs—bringing in $7.4 million in new certificate balances. You’ll also learn how Next Best Product modeling revealed new member opportunities, drove 3x more CD conversions, and delivered clear attribution to support future decision-making.