Footfall Lift Calculator
This calculator quantifies the incremental increase in store or location visits attributable to a marketing campaign by comparing observed visit rates during the campaign to a pre-campaign or control period baseline. It is designed for retail marketers, location-based advertising practitioners, and brand managers who run campaigns with a store visit objective and need to report the result in a common measurement language. The tool models lift as both an absolute visitor increment and a percentage increase over baseline.
Inputs
Results
How this is calculated
Enter the baseline visit rate from your pre-campaign or control period, the observed visit rate during the campaign for the exposed audience, and your total campaign reach, and the calculator produces absolute visit lift, percentage lift, visits driven, and an implied cost per incremental visit.
Every model runs locally in your browser. Nothing you type is sent anywhere.
Frequently asked questions
How do I measure footfall lift from advertising?
Footfall lift is measured by comparing store visit rates for a group exposed to advertising against a matched control group that was not exposed. The exposed group's visit rate minus the control group's visit rate equals the incremental lift. Mobile measurement providers like Foursquare, Near, and PlaceIQ observe device location data to estimate store visits for both groups. The difference is expressed as incremental visits driven by the campaign, which can be divided into total spend to produce a cost per incremental store visit.
What is a good cost per incremental store visit?
Cost per incremental store visit benchmarks vary by retail category, store size, and competitive environment. FMCG and grocery categories often see costs in the $1 to $5 range per incremental visit. Specialty retail and automotive typically see costs of $5 to $25 per incremental visit. The relevant comparison is not the absolute cost but the ratio to the average revenue per store visit for your category. If the average in-store transaction is $80 and your cost per incremental visit is $4, the campaign is economically attractive if your gross margin covers the visit cost.
What factors affect footfall lift from advertising?
Footfall lift is influenced by the relevance of the advertising to the target audience, the presence of a compelling offer or reason to visit in the creative, the proximity of the ad exposure to the store location, and the baseline visit frequency of your audience. Campaigns with strong geographic targeting near store locations, time-of-day targeting in the hours before typical shopping trips, and creative messaging that includes a specific call to visit consistently generate higher footfall lift than untargeted brand-awareness campaigns.