ampm, Circle K, Sheetz, Cumberland Farms Sign on for VideoMining's 'Fourth Wave'
In-store intelligence provider launches expanded C-Store Shopper Insights program
Published in CSP Daily News
CHICAGO -- VideoMining Corp., a provider of in-store intelligence for retailers and consumer product manufacturers, has launched the "fourth wave" of its flagship syndicated program, C-Store Shopper Insights (CSI-4). The program will deploy VideoMining's in-store measurement and analytics technology for a national panel of 120 stores with cooperation from a dozen convenience retailers, including ampm, Circle K, Sheetz and 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 more than 50 million c-store trips; holiday analysis that covers all major summer holidays: Memorial Day, Fourth of July and Labor Day; and three-year trend analysis: quantification of shifts and changes in shopper behavior and performances over the last three years (2010-2012) and corresponding implications on store and 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."
Chicago-based VideoMining is a 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 in-store measurement technology that automatically converts video into precise statistical data on the shopping process.