MegaStudy 2014 7 Million Grocery Shoppers
In-Store Behavior Make it Count for You
Dollar Shoppers Get To Know Them Better
Programs See Where We Work for You
VM Connect Go Deeper into Data
Making In-Store Behavior Count
VideoMining is the leading provider of in-store behavior analytics. Find out how our unique research solutions, groundbreaking video technology, and strategic retail partnerships can make in-store behavior count for your company.


Cameras unobstrusively collect video of the in-store behaviors of thousands to millions of shoppers.



Detailed shopper behavior is extracted from video automatically.



The data is analyzed and interpreted to provide truly actionable insights.

our programs

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March 28, 2014

Dollar Store Shoppers Increasingly Loyal

New results from VideoMining's Value/Dollar Shopper Insights (VSI) study demonstrate the increasing loyalty of Dollar Store customers, as shown in...Keep Reading >>

February 26, 2014

Webinar – How Can Big Data on In-Store Shopper Behavior Revolutionize Grocery?

Join Priya Baboo, VideoMining's President of Client Solutions, for a special free webinar entitled "How Can Big Data on In-Store...Keep Reading >>


March 21, 2014

Who Knew Saving Money Could Be So Fun? A Look at Today’s Value/Dollar Shopper

When was the last time you heard the word “fun” come up when you speak with shoppers about their visits...Keep Reading >>

March 12, 2014

Highlights from the Value/Dollar Shopper Insights (VSI) Study

In case you missed it, earlier today we announced the release of findings from our Value/Dollar Shopper Insights study of...Keep Reading >>



Tyson Foods

Tyson Foods worked with VideoMining to get insights on Foodservice in C-Stores - implementing changes in both location and assortment. Keep Reading >>



VideoMining demonstrated areas of high and low traffic throughout the store by daypart, giving the candy giant reason to change... Keep Reading >>

Client Testimonials

“(VideoMining) gave us something to think about in planning — both store layout and design — as far as what store space was being efficiently used for what categories. We also could see times of day when people would walk by something. We have sales, but this told us which people walked over and didn’t purchase versus the people who did purchase.”

-Michael Burkenbine
Marketing Programs Specialist