Predicting Life Changes From Financial Activity
AI and Analytics for Business is delighted to announce a unique dataset from a Fortune 500 Financial Services Company that allows for an unprecedented view into customer-company interaction. The data contains comprehensive, anonymized individual transaction details such as:
Website visits, including
- account balances
- deposits/withdrawals/transfers
- shopping for new financial products
Call center logs, including
- inbound & outbound call center contacts
- detailed activity for each call, such as every product or service that was discussed
Direct mail and other marketing campaigns
The research sponsor is interested in predicting major life events that might provide opportunity for more engagement (more products/services) or, conversely, a risk of lost business (shedding of financial products). Examples of major life events might include marriage, divorce, relocation, career change, or job loss. The data contains a record of major life events where possible. For researchers studying this question or others of business value, the sponsor will provide a detailed, anonymized dataset that contains all longitudinal touch points for 100,000 randomly selected customers for a two year period.
Note: This Research Opportunity is closed for proposal submissions.
Research Teams
GRANTEES OF THE DATA:
A DATA-DRIVEN APPROACH TO MATCH CUSTOMERS’ EVOLVING NEEDS
Chinmoy Mohapatra, University of Texas at Austin
Naveed Chehrazi, University of Texas at Austin
Kostas Bimpikis, Stanford University
THE FRESH START EFFECT: LIFE EVENTS MOTIVATE FUTURE-ORIENTED FINANCIAL DECISIONS
Hengchen Dai, The Wharton School
Katy Milkman, The Wharton School
PREDICTING SIGNIFICANT LIFE EVENTS THROUGH FINANCIAL ACTIVITIES
Yuping Liu-Thompkins, Old Dominion University
Chuanyi Tang, Old Dominion University
Lin Guo, University of New Hampshier
WHEN CONSUMERS ARE IN CHARGE: COMMUNICATION, PURCHASE, AND LIFE EVENTS?
Jian Ni, Johns Hopkins University
Baohong Sun, Cheung Kong Graduate School of Business
IDENTIFYING UNOBSERVED LIFE CHANGES WITH OBSERVED CONSUMER BEHAVIOR
Tingting Nian, New York University
Enrique Junque de Fortuny, New York University
Foster Provost, New York University
IMPACT OF LIFE CHANGE EVENTS ON CONSUMER DEMAND FOR FINANCIAL PRODUCTS
Vithala Rao, Cornell University
Hwang Kim, Cornell University
Jialie Chen, Cornell University
PREDICTING LIFE-EVENTS FROM FINANCIAL DATA – A VANISH APPROACH
Oliver Rutz, University of Washington
Garrett Sonnier, University of Texas at Austin
DETECTING CONSUMER’S LIFE CHANGE: A COMPLETE SOLUTION BASED ON STATISTICAL PROCESS CONTROL
Yi Zhao, Georgia State University
Disclaimer
The Research Opportunity webinars are posted here for a research-focused audience and should not be quoted, paraphrased or otherwise utilized without written permission of AIAB. Any media inquiries or requests for quotes about the projects should be directed to wca-research@wharton.upenn.edu.