Expanded C-Store Shopper Insights Program Announced by VideoMining at NACS Show

VideoMining Corporation, the leading provider of in-store intelligence for retailers and consumer product manufacturers, announced during The NACS Show here, the launch of fourth wave of its flagship syndicated program, C-Store Shopper Insights (CSI-4).

The program will deploy VideoMining’s breakthrough in-store measurement and analytics technology in a carefully selected National panel of 120 stores with cooperation from a dozen Convenience retailers, including 7-Eleven, AM/PM, Circle K, Sheetz, Cumberland Farms.

The goal of CSI-4 is to develop an in-depth understanding of the shopping process in convenience stores and uncover innovative opportunities to improve performance. It will use a large behavioral data set, integrated with a number of other data sources to provide unprecedented visibility into the path-to-purchase of C-store shoppers and factors that impact their purchase decisions.

The 2012 program will include:

  • In-depth insights from the analysis of over 50 million C-store trips.
  • Holiday analysis that covers all major summer Holidays—Memorial Day, Fourth of July and Labor Day.
  • Three-year trend analysis: quantification of shifts/changes in shopper behavior and performances over the last three years (2010-2012) and corresponding implications on store/category strategies.

“We have been thrilled to see our annual C-Store Shopper Insights program adopted widely by the industry,” said Dr. Rajeev Sharma, Founder and CEO of VideoMining. “A 20-fold increase in data set and layers of new analytics will take the program to a new level in 2012.”

 

About VideoMining Corporation

VideoMining Corporation is the leading provider of in-store intelligence for shopper marketing. The company’s actionable insights help retailers and consumer product manufacturers optimize their marketing and merchandising strategies. These insights are based on the company’s breakthrough in-store measurement technology that automatically converts video into precise statistical data on the shopping process. For more information visit: www.VideoMining.com

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