Foot Traffic Attribution Shouldn’t Be a Premium Feature

By Stewart Sullivan, CEO and Co-Founder, Drako

Advertisers have come to treat online conversion tracking as a basic part of campaign execution. Place a pixel, track what happens, and use the results to improve performance. No one expects to pay an added premium simply to see whether someone completed a purchase after encountering an ad.

That logic has not carried over to physical-world campaigns. Foot traffic attribution, or FTA, is often sold as a paid measurement layer, commonly priced at roughly $0.50 CPM or built into a broader platform fee. For campaigns designed to drive people into stores, restaurants or dealerships, that charge can become substantial.

The bigger issue is the assumption that the resulting number provides a complete view of campaign impact. In most cases, it does not.

FTA Is a Sample, Not a Final Verdict

Online conversion tracking can observe nearly every conversion that occurs after a pixel is placed correctly. Foot traffic attribution works differently. It depends on a provider’s coverage, the devices it can observe, how conversion zones are defined, and the length of the attribution window. Perhaps the biggest variable is whether the consumer’s device is observable while they are actually inside the conversion zone. Someone can be exposed to an ad, visit the location, and still go uncounted if their device does not generate a signal the provider can observe during the visit.

Those variables greatly influence the numbers that are reported. A large radius around a busy downtown location may capture people entering another business or moving through the area. A smaller zone may be more precise, but it may also miss legitimate visits. Either way, the final report represents a subset of activity rather than a complete account of what happened. The limits are methodological, not evidence that the underlying data has no value.

FTA is useful, but only for the right job. It can show relative performance across a live campaign. One audience or channel may generate stronger observed visit signals than another. Those insights can help a buyer move budget while the campaign is still running. They cannot, on their own, prove that the campaign caused an incremental increase in visits.

Optimization and Incrementality Are Different Questions

The industry often treats every measurement output as if it answers the same question. FTA is best suited to optimization. Incrementality requires a different design.

To understand whether advertising changed consumer behavior, advertisers need a comparison. A geolift study, for example, can examine differences between exposed and control groups. That methodology is designed to estimate what happened because of the campaign, rather than simply counting observed visits among people who received an impression.

Longer-term market share analysis can answer another question: whether visitation patterns are shifting relative to competitors. Each tool has a legitimate role. Problems arise when an optimization signal is packaged as definitive proof of campaign effectiveness.

A report showing 2,000 attributed visits may look persuasive, but it does not automatically reveal how many were incremental, how many would have happened anyway, or how many total visits went unobserved. And yet, advertisers often use those reports to judge the success of their media and vendors at a holistic level. That makes the economics particularly difficult to defend: The advertiser is paying an added measurement fee for a report that captures only a sample of visits and still cannot establish whether those visits were caused by the campaign.

Basic Campaign Signals Should Be Included

FTA providers have invested in the data and infrastructure required to observe physical-world activity. Those systems have real operating costs. Still, charging a premium for every campaign is difficult to justify when the output is primarily used as an optimization signal.

Advertisers already pay for audiences and media. They should not have to pay yet another fee to receive a partial view of campaign impact. When FTA is available as part of the audience, it should be treated as a standard utility.

There is still room for paid measurement. Robust geolift studies and custom market share analyses can provide insight that goes beyond routine campaign management. Those services require more sophisticated design and can create clear incremental value.

The pricing model should reflect that difference. Tracking that helps a buyer adjust a campaign should be included. Measurement that helps a business understand causality or competitive movement may justify a premium.

None of this is to say that advertisers should abandon foot traffic attribution. FTA remains useful when its limits are understood. It becomes misleading when a sampled optimization signal is presented as a full accounting of campaign impact.

The industry should stop treating basic foot traffic tracking as a premium feature. Make it part of the campaign and use it to optimize. Then reserve paid measurement for the harder questions that require stronger methods and deliver a more meaningful answer.