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Foot traffic impact analysis
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United States
Foot traffic attribution: measure campaign impact on visits
See how campaigns, events and store openings change foot traffic at your US locations, measured before and after against nearby benchmarks.
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Foot traffic attribution usually means linking ad impressions to store visits. Huq takes a different route. It measures how foot traffic at your locations changes around a campaign, event or opening, by week and month, against nearby benchmark areas, and shows whether new visitors came from new places. More than 1,000 locations are manually validated in each of Huq's 35 markets twice a year. The question it answers: did visits go up, and by how much?
How Huq answers foot traffic attribution questions
This overview walks through the Huq platform, from drawing an area on the Explore map to tracking it in Projects. For a campaign or event, look at how the footfall trends and period-on-period views work, then at catchment. Those are the views you'd use to compare the weeks before and after a launch with nearby benchmark areas.
- Footfall trends: weekly and monthly visits with period-on-period change, so you can see when a rise started and whether it lasted.
- Visiting vs passing traffic: whether a campaign brought people in, or just more people past the door.
- Catchment: visit share by ZIP code before and after, showing whether the campaign reached new areas.
Trusted by 300+ organisations · Data across 35 markets
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What is foot traffic attribution?
Foot traffic attribution is a way of measuring whether advertising drove people to visit physical locations. Ad-tech platforms match people who saw an ad with later store visits, compare them with a group who didn't, and report the difference as visit lift.
That approach needs ad-exposure data, and its results are usually treated as directional. Many teams also want a broader answer: did visits at the location actually rise, and was it the campaign, the season or the whole area?
Huq doesn't match ads to visits. It measures change at your locations: visits by week and month before and after a campaign, event or opening, set against nearby benchmark areas, with visiting vs passing traffic and catchment for each period. For example, when London's Queen Elizabeth Olympic Park hosted the 2024 MLB weekend, Huq data showed a 28% rise in foot traffic.
What's in your foot traffic impact analysis
01
Before and after visit trends
Visits by week and month around a campaign, event or opening, with period-on-period change.
02
Benchmarks against nearby areas
Compare change at your site with nearby locations to separate campaign impact from seasonal or local trends.
03
Where new visitors come from
See whether a campaign pulled visitors from new areas or brought existing visitors back more often.
04
Visiting vs passing traffic
See whether a campaign turned people passing by into visitors, not just more people on the street.
What a foot traffic impact analysis shows
Pick a location and a campaign, event or opening date. Your free analysis compares the weeks around it.
01
Weekly foot traffic, before and after
A weekly visit trend with your campaign dates marked, so you can see when visits rose, by how much, and whether the rise lasted.
02
Change versus benchmark areas
Your location's change set against nearby areas over the same weeks, so a citywide busy spell isn't mistaken for campaign impact.
03
Visitor origin, before and after
Where visitors came from before and after the campaign, showing whether it reached new areas or drew from your existing catchment.
Measure foot traffic change at any US location
Huq covers any address in the United States: shopping centers, main streets, downtowns, strip malls, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.
Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.
How it works
Step 1
Tell us your locations
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
We run the analysis
Our team maps each location from observed visitor data.
Step 3
We walk you through it
A short call to take you through what the data shows and what it means for you.
Why use Huq for foot traffic attribution questions
- Huq publishes its accuracy by country: a 19.5% median error across published markets, against a 30% healthy threshold.
- Huq's customers give it an NPS of 42.
- Trusted by 300+ organizations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
Who it's for
01
Retail chains of any size
From five-store retailers planning their next site to national brands: choose locations, track store performance and benchmark against competitors.
02
Retail real estate owners
Show shopping center performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
03
Investors and private equity
Check how retail brands and assets actually perform before you buy, and monitor them after.
Everything Huq measures, in one platform
- Foot traffic: by week, month and year, with totals, average daily foot traffic, trends, period-over-period change, and visiting vs passing traffic.
- Residents and visitors.
- Trade area and travel time: trade areas by ZIP code, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power, available in selected markets.
- Behavior: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Foot traffic density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping center and retail center types.
- Geo-spend: spend by volume and category, available in selected markets.
- Tools: the Explore map (draw any area or use layers for travel time, trade areas, shopping centers, retail centers, brand locations, industries and ZIP codes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
- Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
- Cadence: data refreshes weekly.
Frequently asked questions
How does foot traffic attribution work?
Ad-tech platforms match people who saw an ad with later store visits and report the difference as visit lift. Huq doesn't connect ad exposure to individual visits. It measures change at your locations, comparing weekly visits before and after a campaign with nearby benchmark areas. For impression-level attribution, use an ad measurement platform alongside Huq.
How do you measure foot traffic from podcast ads?
Podcast, radio and outdoor ads rarely come with exposure data you can match to visits. Instead, compare weekly visits at your locations before, during and after the campaign, and check the same weeks at nearby benchmark areas. If your locations rose more than the benchmark, that difference is a reasonable indicator of the campaign's effect.
Can I measure foot traffic from an event or store opening?
Yes. Events and openings work the same way as campaigns. For example, Huq data showed a 28% rise in foot traffic at London's Queen Elizabeth Olympic Park over the 2024 MLB weekend. You can run the same comparison for a US location and date.
How often is Huq foot traffic data updated?
Huq foot traffic data updates weekly. That's frequent enough to see the effect of a campaign or event week by week, and to check whether a rise in visits held once it ended.
What's in the free foot traffic impact analysis?
Give us one location and a campaign, event or opening date. We'll show weekly foot traffic before and after, the change compared with nearby benchmark areas, and where visitors came from in each period. It's free, with no commitment.
Which US locations does Huq cover?
Huq measures visits to stores, restaurants, shopping centers and other addresses across the US, one of its 35 markets. More than 1,000 locations are manually validated in each market twice a year. No sensors or cameras are needed, so you can analyze your own sites, competitors' locations and sites you're still considering.
Questions? Talk to us
Book a demoAbout Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
See how your locations really perform
Up to 5 locations. No cost, no commitment.