Heatmapping store traffic patterns

So I’m working on a pretty fun project at work right now.  I’m taking data from a specialized camera that tracks people’s movements as they shop at a store.  With that data I create several analytic reports from them such as: Dwell Time – How long do people stand in front of a display; Path Count – How many people come in the store and go to the left vs. the right; Suspicious Transactions – Did a cashier return merchandise at a register without a customer present.

But there is one report that has me particularly excited.  I take all the customer movements for a given time period and I create a heatmap that overlays on top of the camera image.  This is very useful for marketers because it shows them the high traffic areas in the store as well as which end cap displays are generating the most attention.  Here is a sample:

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2 Responses to Heatmapping store traffic patterns

  1. Shawn says:

    It kinda looks like a football stadium filling up with slime.

  2. Dan Zoeller says:

    I should take the heat map and overlay it on an actual stadium and see what it looks like. The dimensions look just about right.

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