Author: Mark Heckman

Mark is a supermarket industry veteran with broad experience based in a mix of retail marketing, brand partnerships, category management practices and consumer research. Over his career, Mark has worked with noted organizations in the supermarket industry to include positions of Director of Marketing Research at Marsh Supermarkets, VP of Marketing for Randalls Foods, MARC Advertising, and Valassis Relationship Marketing Systems. In 1993, Mark led the analysis team at Marsh that composed and presented the Marsh Super Study, which was published by Progressive Grocer Magazine and later became a case study at the Harvard School of Business. Mark is currently focused on the changing consumer dynamics affecting the in-store shopping experience. Mark is a past member and chairman of the Food Marketing Institute's Consumer Research Committee as well participating in the recent Retail Shopper Marketing Commission founded by Coca Cola and the In-store Marketing Institute.  Mark is a graduate of the Indiana University Kelley School of Business with a BS in Marketing and was honor graduate of the Defense Language Institute, at the Presidio of Monterey, CA. Mark currently resides in Bradenton, FL with his wife Karyn.

Are stand-alone loyalty approaches anachronistic?

Well over 20 years ago, the first “electronic” card-based loyalty programs arrived to help retailers promote more effectively. With limited technology and inherent expense, retailers quickly gave up on targeted deals. Today, apps are so abundant that shoppers can be overwhelmed with choice, and major retailers seem to all have their own proprietary app. Do you agree that retailers need to shift away from proprietary or stand-alone approaches to their loyalty programs?

How to draw a Big Data implementation roadmap

“Big Data implies that data sets are so large and complex they become awkward to work with using standard tools and techniques.” Buried within this simple definition lies many problems and pitfalls that retailers and other organizations face when their data needs exceed their current capabilities. What steps do you think are being underestimated by retailers in efforts to capitalize on Big Data?