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Geofencing Attribution: How to Measure Foot Traffic and Prove Campaign ROI

Geofencing Attribution: How to Measure Foot Traffic and Prove Campaign ROI

May 5, 2025
Updated July 28, 2026
Robert HodgsonDigital Director, Mediavision2020
TL;DR — Key Takeaways
  • 1Foot traffic attribution measures how many people who saw your geofencing ad subsequently visited your physical location.
  • 2The methodology uses a test group (ad-exposed devices) vs. a control group (similar non-exposed devices) to isolate incremental visits.
  • 3Industry-standard lift rates for geofencing campaigns range from 15-40% incremental foot traffic above baseline.
  • 4Cost per incremental visit typically ranges from $2-$8 for retail and restaurant categories.
  • 5Attribution windows of 7-30 days capture the full consideration-to-visit cycle for most categories.

What Is foot traffic Attribution?

Foot traffic attribution is the process of measuring how many people who were exposed to your geofencing ads subsequently visited your physical location — and comparing that visit rate to a control group of similar people who were not exposed to your ads. The difference between the two groups represents the incremental foot traffic driven by your campaign.

This methodology is the gold standard for measuring geofencing ROI because it directly connects advertising exposure to physical store visits, which is the primary goal of most location-based campaigns.

How the Methodology Works

When you run a geofencing campaign, the platform creates two groups of devices: the exposed group (devices that were served your ads) and the control group (devices that matched your targeting criteria but were randomly held out from seeing your ads). Both groups are then tracked for location visits to your store or location over a defined attribution window (typically 7-30 days).

The visit rate of the exposed group is compared to the visit rate of the control group. If the exposed group visits your location at a rate of 3.2% and the control group visits at 2.1%, the incremental lift is 1.1 percentage points, or approximately 52% lift over baseline. This lift is then multiplied by the number of exposed devices to calculate total incremental visits.

Key Metrics in Foot Traffic Attribution Reports

MetricDefinitionBenchmark
Visit Rate (Exposed)% of ad-exposed devices that visited your location2-8% depending on category
Visit Rate (Control)% of non-exposed devices that visited your locationBaseline varies by category
Incremental Lift% increase in visit rate from exposure15-40% lift is typical
Incremental VisitsTotal additional visits attributable to campaignDepends on audience size
Cost Per Incremental VisitTotal spend divided by incremental visits$2-$8 for retail/restaurant

Attribution Windows: How Long to Track After Exposure

The attribution window defines how long after seeing an ad a device visit counts as a conversion. The right window depends on your category purchase cycle. Restaurants and convenience retail: 1-7 days (impulse purchase cycle). Apparel and general retail: 7-14 days. Automotive and financial services: 14-30 days. Home improvement and real estate: 30-90 days.

Beyond Foot Traffic: Online Attribution

For businesses with both physical and online conversion paths, geofencing attribution can also track online conversions from location-based audiences. By placing a pixel on your website and matching it to your geofencing audience, you can measure website visits, form submissions, and e-commerce purchases from people who were exposed to your geofencing ads — even if they never visited your physical location.

Using Attribution Data to Optimize Campaigns

Attribution data is most valuable when used to optimize ongoing campaigns. Compare lift rates across different geofencing locations to identify which locations drive the highest incremental visits. Compare lift rates across different creative variants to identify which messages resonate most. Use time-of-day attribution data to shift budget toward the hours and days that drive the most incremental visits.

About the Author
RH

Robert Hodgson

Digital Director, Mediavision2020

10+ years in programmatic advertising and location-based targeting.

Robert Hodgson is the Digital Director at Mediavision2020, where he leads programmatic geofencing strategy and campaign performance optimization. With over 10 years in digital advertising, Robert specializes in location-based audience targeting, attribution modeling, and translating complex ad-tech concepts into actionable marketing strategies for clients across healthcare, automotive, retail, and political sectors.

Programmatic AdvertisingGeofencing StrategyAttribution ModelingAd-Tech
Topics:geofencing attributionfoot traffic measurementgeofencing ROImeasure store visitslocation-based marketing analyticsgeofencing campaign optimization

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