Data & Analytics
For marketers, the start of a new year is an opportunity to look ahead....
With Black Friday quickly approaching, a recent Experian study shows online Black Friday searches are already tracking ahead of last year. This October, the...
While marketers typically begin deploying Halloween emails in September, last-minute mailings receive the highest response....
With the holidays around the corner, retailers are getting ready to release their holiday...
While mobile subscriber lists typically are much smaller than email lists, mobile subscribers tend to be loyal and highly engaged...
Industry leading consumer credit trend data The complete picture of consumer credit trends from Experian’s database of over 230 million consumers Today we launched The...
As Big Data becomes the norm in the credit industry and others, the seemingly non-stop efforts to accumulate more and more data leads me...
According to a recent Experian Marketing Services study, informational or "thanks for joining" messages drive significantly higher open and transaction rates than promotional emails,...
By: Barbara Rivera Every day, 2.5 quintillion bytes of data are created – in fact, 90% of the world’s data was created in only...
This season’s peak week, the Wednesday before Thanksgiving through the Tuesday after Cyber Monday, had an 18 percent increase in email volume, an 11...
According to a recent Experian Data Quality study, three out of four organizations personalize their marketing messages or are in the process of doing......
According to Experian Marketing Services’ Q1 2014 Email Benchmark Report, personalized abandoned cart emails that dynamically show the actual customer cart had 25 percent...
As part of its guidance, the Office of the Comptroller of the Currency recommends that lenders perform regular validations of their credit score models...
According to Experian Marketing Services' annual Email Market Study, personalized promotional emails have 29 percent higher unique open rates and 41 percent higher unique...
Using a risk model based on older data can result in reduced predictive...