Webinar: Looking to the Future – Emerging Affluent Millennials
2 p.m. Eastern, September 30, 2014
As banks look towards the future and work on setting the foundation for growth, a key part of the plan is better understanding the preferences and needs of their Millennial customers and how to identify which of those Millennial customers are on track to become affluent in the future. This “emerging affluent” pocket of the population should be a key area of focus for banks.
In this webinar, attendees will learn tips on how to identify emerging affluent Millennial households within their customer base and gain ideas on how to market to these households to successfully foster and grow their relationships.
This webinar will cover:
- Insights into the financial behaviors and preferences of Millennials
- Characteristics of Millennial households that make them likely to become affluent in the future
- How to develop segmentation strategies based on likelihood for future growth
- Tips on how to nurture emerging affluent customers towards a trajectory of future growth
To register for the webinar, visit the Consumer Bankers Association website or access the link, http://eo2.commpartners.com/users/cba/session.php?id=14396.
About the presenter:
Vice President, Analytics at IXI Services, a division of Equifax Inc.
Ed Colet has over twenty years of experience helping companies enhance their use of data, analytics, and technology for business decision making. Currently Ed is Head of Analytics at IXI Services, a division of Equifax, where he is responsible for the quantitative models within IXI’s products as well as driving research and development. Prior to joining Equifax, he led the Database Analytics Group at Conde Nast, served as the Vice President of Analytics and Technology for Capital One and held leadership positions at The Hartford and IBM’s Research Labs. Ed holds a B.A. in Cognitive Psychology from the State University of New York at Binghamton and graduate degrees from New York University where he also an Adjunct Professor, teaching graduate courses in database technologies and analytic methods.