Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.
As life in quarantine continues, both individuals and corporations have, notably, made adjustments. Though in planning, it is important to consider that business-as-usual may not be quite the same.
In 2014, Experian Marketing Services released research identifying six distinct deal-seeking consumer segments. The ...
In-session marketing, a form of inbound marketing that attempts to analyze and influence web and app users’ purchasing decisions, is often challenging to implement. With so much competing for ...
As a data scientist, I love the above quote by this icon of America’s favorite pastime. But obviously he never heard of Big Data analytics! In this first installment of the Big Data & Customer ...
In this series called Member Showcase, we publish interviews with members of The Oracles. This interview is with Dr. Yaniv Altshuler, founder and CEO of Endor, which improves business decisions and ...
COLLEGE PARK, Md., July 30, 2025 /PRNewswire/ -- Marketing researchers at the University of Maryland's Robert H. Smith School of Business have produced an artificial intelligence-based model that they ...
Walmart’s top executives said Wednesday consumer behavior would be tougher to predict next year as financial strain pushes customers to be more cautious about spending their dollars. The retail ...
This content is produced by a member of The Drum Network, a paid-for membership club for CEOs and their agencies who want to share their expertise and grow their business. It’s imperative for brands ...
Artificial Intelligence (AI) is being harnessed by researchers and businesses to unlock a wealth of data across diverse sectors. This data, drawn from power utilities, botanical collections, public ...
In our last installment of the Big Data & Customer Intelligence series, we ended up with a discussion of customer segmentation by using predictive analytics to lay focus on the customer groups most ...