United StatesFinance and insurance2024 – ongoingGlobal Credit Union
Machine-learning personalization for digital banking acquisition
Global Credit Union's personalized promotions converted at more than 8 times the benchmark rate, Finalytics reported
Problem
Global Credit Union wanted to acquire members in new states while retaining relevant digital experiences for existing members.
Approach
The credit union implemented Finalytics.ai personalization using banking and application data alongside advertising and website activity. Machine learning supported individualized content. Campaign information carried into website visits, and funnel personalization addressed application abandonment.
Results
Takeaway
The comparison used benchmark visitors. Finalytics did not disclose whether visitors were randomly assigned to personalized experiences.
Categories
- Industry
- Finance and insurance
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Finalytics described Global Credit Union's deployed personalization strategy across digital acquisition journeys. It reported conversion rates above 8 times the benchmark for visitors seeing personalized product promotions.
Full details are in the original sources.