In-Store Attribution
Interpreting your campaign's In-Store Visitation Attribution
Motion Signals powers the ability to measure the amount of physical in-store foot traffic attributable to Surfside media delivery.
After consumers see your ad, and walk into one a physical location, their device identifier is captured and compared to device identifiers that we see in our location dataset. Utilizing over 145M points-of-interest and millions of always-on persistent location signals, if there is a match between devices at a location and the visit occurred post ad exposure, then a visit is counted.
We typically report on only the number of distinct and unique visitors, based on a 1st touch attribution model using a 14 day look visit window.
In the Visit Attribution section of your advertising source, you are able to export the total number of visits and visitors with the ability to drill down and export this data broken out by location name, address, and visitation date.
Below you will find a layout of the Visitation Attribution Dashboard:
Daily Visits and Top Locations
Interactive daily bar chart of visits and the top 3 locations along with the share of visits they have among the Top 3
Key Metric Definitions:
Visits: Total count of physical visits (foot traffic) to your location attributed to our media
Visitors: Total unique count of visitors to your location attributed to our media
Visit Rate: Visits/Impressions Delivered
Average Dwell Time: The average time a consumer device has been seen at the location
By Location Drilldown
When attributing in-store visits to multiple locations, you can get a more granular view of performance by store using the “By Location” table view. in the top lefthand corner will find a selection tool of all possible dimensions and measures you’d like to have displayed in the table. To export this data you can click into the “…” button to the right of the search bar.
Table View with functionality to sort columns and export data
There can be up to a 72 hour delay in Surfside receiving all location data, which means you can expect at times to see a minor visitation increase in the prior week's results. Therefore, as we are passing raw data into our user interface as we receive it, there is a slight lag in when we receive all devices seen at a location. Even with this in mind, all attributed visits are 100% reconciled at the completion of the campaign and attribution window.v