Case Study: Banking Customer Lifetime Value Predictions
Read about our approach to predicting customer lifetime value for a bank, including the process, approach, indicators and results.
- Read about a real world implementation of AI
- Key indicators of an effective data set for AI in Banking
- Phases of an effective enterprise AI project
- How to predict and treat segments based on customer lifetime value with AI
Relativity6 Predicts Bank Customer Lifetime Value
- Predict and segment by Banking Customer Lifetime Value 60 days ahead of time
- Learn how R6 approaches the use case
- Retain customers with the highest lifetime value, prioritize your sales and support staff's time wisely
Relativity6's AI insights and predictions gave us a depth of understanding and performance within the business that we never had before.
General Manager, Innovation, Willis Towers Watson
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