Improve Customer Interaction In-Store

The average store is already organized into aisles. Zone analytics allows this organization and classification to be taken a step further. Dividing the parts of the store into zones brings many advantages. First, it will allow for the measuring of conversion rates across all sectors of the store. This will show which zones are performing well and which zones are lagging. This in turn will allow the user to benchmark different sales goals and strategies, specifically being able to focus on strengthening zones where sales are poor. Zone analytics track where the traffic of shoppers flows and where the highest number of interactions between shoppers and products are. So, one would be able to move high impression products to less frequented places in order to boost up performance. This would help in generating more sales in “cold” zones while still maintaining overall performance for places that are doing well.


Understanding the behavior of your customers is key to strategically designing the layout of a retail store. With the current advances in data collection, it is possible to use analytics in order to pinpoint exact details about how shoppers interact with the products presented to them.

Shopkeepers are able to arbitrary define any zone, categorized, and learn all shopper activities on predefined zones by zone analysis. How many people set foot in this area, how much time they spent in here, what is average dwell time, and more. Retailers can easily compare all zone analysis data historically; hourly and daily intervals. You can set A/B testing in there and establish new marketing strategies and optimize these zones according to the results.

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