Coursa Retail is the Simplest Path to Capturing In-Store Shopper Behavior Insights

  • No Store Infrastructure No WiFi, beacons, LED lighting or cameras. Just your mobile app and two magic sensors (gyroscope + accelerometer) already inside billions of smartphones.
  • In-Aisle Insights with 1.5 Meter Accuracy Understand which aisles and categories shoppers engage and for how long. Once in-aisle, Coursa also determines which shelves the shopper is facing (left side or right) with 97% accuracy.
  • Deep In-store Personalization and Attribution Measurement Coursa’s data can measure to-the-shelf attribution, identify missed conversions for retargeting, while also enabling deeper shopper personalization by capturing the entire in-store journey (departments and categories visited and not visited).

Register Now to download the Coursa Retail Solution Brief!

Upcoming Event:

“To-The-Shelf Shopper Attribution and Personalization with No In-Store Technology”

When: Sunday, January 14, 2018. 2:00–2:45 p.m,

Where: NRF 2018 Retail’s Big Show
Javits Convention Center, NYC
Expo Hall, Room 2, Level 1

Retail Marketers, Brands, and Advertisers: What if you could capture every department, aisle, and category engagement of your in-store shoppers without adding a single piece of equipment or technology inside the store? Existing location-tracking technologies such as Wi-Fi, Bluetooth beacons, or LED lighting have proven to be either insufficiently accurate or too expensive or difficult to deploy.

Coursa Retail takes an entirely new approach and is able to capture the entire shopper path inside big box retail stores using just the gyroscope and accelerometer sensors inside smartphones (no in-store technology or pre-survey required). Coursa’s data can measure to-the-shelf attribution, identify missed conversions for retargeting, while also enabling deeper shopper personalization by capturing the entire in-store journey (departments and categories visited and not visited).

Visit us at our booth during the NRF 2018 Big Show at Booth #733!