What you will learn in this article
How to create locations on HEROW and monitor the actual foot traffic generated by your app in specific locations (or subsequently categories of locations, cities, and countries).
If your app relies on a network of partners of physical locations, this article will help you get valuable information on how to analyze the performance of your locations across region and get essential knowledge about your user activity.
Create or import locations
First, you must create your current locations (and categorize them) to enable foot traffic monitoring. Alternatively, if you wish to periodically and dynamically import locations, you can use the HEROW Zone API.
Monitor all your locations at once
Create Categories to Group your locations
Second, once all your location imported on the platform, associate them categories to compare them across:
Type of activity (restaurant, clothing, home furniture, retail…)
Location (country, region, district, neighborhood...)
The categorization is up to you but should reflect the type of physical locations you have in your app. More information here on how to create and use categories.
Once your locations classified, you can simply analyze the foot traffic over a selected range of locations by using the zone analytics tab.
Compare performance across categories
Or by partner franchises
Or even by country
Use foot traffic volumes (unique users and number of visits) to track your best-performing categories, partners and geographies. You can also know in a glance which context has the highest activity rate (active users/unique users). Learn here how to measure and optimize your activity rate!
Track your best performing stores
Within each category, country, or partner type, you can easily compare store/franchise and figure out which store/franchise yields the best performance for your app.
Compare the performance within a category and draw benchmark learnings.
Use this information to create campaigns to drive in-app activity up or stimulate foot traffic by creating larger geofences to engage with users around these locations. Alternatively, you can also work directly with these retailers to suggest them practices observed in your best performing locations.