Customer Targeting & Segmentation

Experian recently interviewed Philip Bohi, Vice President for Compliance Education of AFSA, to learn more about his perspective on alternative data.

A summary of common resampling techniques that can be used to create a robust model development and validation sample.

Model validation is essential in evaluating and verifying a model’s performance during development before finalizing design and implementation.

In an all-new report, Experian dives into “The State of Alternative Credit Data,” providing in-depth coverage on how alternative credit data is defined, consumer personas, and how this data complements traditional credit data files.

Recent research shows Hispanics—especially Millennials who are entering their home-buying years—are particularly eager for homeownership.

A thoughtful segmentation analysis contains two phases: generation of potential segments, and the evaluation of those segments.

A robust segmentation analysis contains two components: first is generation of potential segments, and the second is generation of potential segments.

Experian introduces new trended attributes to help lenders better serve consumers across the credit life cycle

There are more than 220 million credit-active consumers. Hear from a data expert on ways analysts can explore these files and dig into big data with ease.

In helping lenders with new product launches, there are common areas of focus and specific steps to move from initial business case to tactical planning.

Many consumers would give the right bank or retailer their data in exchange for personalized marketing offers in their inbox, social feeds and mailbox.

Reject inference design is used to classify the performance outcome of prospective customers within the declined or nonbooked population so this population’s performance reflects its performance had it been booked.

Holiday spend for 2017 was healthy, translating into big business for credit card portfolios. But how do card companies keep the business in 2018?

The phrase swap set refers to “swapping out” a set of customer accounts and replacing them with, or “swapping in,” a set of good customer accounts.

How can you build upon existing customer relationships and offer the products to the right people at the right time? By understanding consumer behavior.