Whether you are starting your drive-to-store advertising journey or you are seasoned in increasing your store traffic, there’s one thing that is true: you need data to make the right decisions. 

In this case, you need visitation data for the stores where you are running campaigns to understand the impact across the board. But you need more than the number of visits coming from your campaign, you need the total number of visits for each store. Collect this data over time and you’ve got a solid understanding of the visitation patterns that govern each POI. 

Our new location intelligence tool, Retail Analytics, allows you to do just that and it presents your data in a series of useful graphs and charts. The insights come divided in two sections: store network level and individual store level, to make sure you have your big picture data as well as your granular information per store.


At the network level you’ll want to look at overarching patterns and trends that change with time:

Top and bottom performing stores 

Identify which ones could benefit from additional spend, or if a particular strategy has managed to push your store performance to the top tier.

Total and average number of visits per day

Two quick metrics to understand if your campaigns are having the desired effect.

Weekly and monthly visitation trends

An easy way to check your overall performance or to test drive-to-store campaigns and other media promotions in a few stores and understand the impact before launching to additional locations. 

When you’re looking at how each store is performing:

Week on week visits comparison

A great way to see the impact at the store level is to focus on whether this trend is going up or down. 

Armed with the power these insights give you, you’ll be able to:

  • Increase traffic across the board by identifying stores that could benefit from running additional activities.
  • Test your promotional activities and understand what worked well so that it can be repeated in other stores.
  • Make sure your ad spend is effective when you compare footfall disparities of stores with heavy ad spend vs smaller budgets.
  • Anticipate demand and improve the in-store customer experience by making sure your logistics and operations are ready to handle the influx of store traffic. 

This tool is part of our commitment to help retailers increase their in store foot traffic. Thanks to it, we are able to provide data beyond their campaign performance that truly helps them see the big picture and understand how to best approach their drive-to-store activities. 

If you are interested in learning more about this new solution or drive-to-store in general, get in touch.