Studies have shown that the cost of customer acquisition can be significantly more than retention strategies, where a 5% increase in retention produced a 25% increase in profits for one industry.

Business strategists and data scientists at Aimia needed to develop predictive models to help their clients boost customer retention across a number of different industries, tapping into behavioral and transactional data that is part of their loyalty platform.

Join our webinar to learn how the company saved time and improved accuracy by using H2O Driverless AI, resulting in reduced costs of retention and increased overall campaign ROI.

In this webinar, you will learn:

- The potential business impact of effective retention strategies
- Common challenges faced with developing predictive churn models
- How AI can be used to improve the accuracy of, and speed the time-to-market with predictive modeling
- How predictive modeling can help reduce unnecessary costs, by improving the relevance of marketing initiatives.
- Understand sample benchmarks to measure predictive churn model impacts

Speaker: Scott Pete, Director and Head of Insights & Analytics for the Americas, AIMIA