How to Audit a Footfall Claim Before You Sign a Lease

Why an unverified footfall number is dangerous, how to audit a footfall claim before you sign a lease, and exactly what a defensible Location Score must contain. A checklist for entrepreneurs and brokers.

StreetProof ResearchUpdated 8 min read

Someone has handed you a footfall number — a landlord, an agent, an outgoing tenant — and it is about to influence how much rent you agree to. Before it does, you need to know whether to believe it. This is a practical guide to how to audit a footfall claim before you commit: why an unverified number is genuinely dangerous, the five questions that separate a real measurement from a hopeful round-up, and exactly what a defensible Location Score must contain. It is written for entrepreneurs signing a retail lease and the tenant-side brokers advising them.

It builds on the foot traffic study guide and on how accurate video people counting is, which explains the statistics in more depth.

Key takeaways

  • An unverified footfall number usually comes from someone who benefits if you believe it — and a lease locks that belief in for years.
  • Audit any claim with five questions: source, method, sample, margin of error, and verifiability.
  • A defensible report shows its method, its sample, counts by hour/day/direction, a confidence interval, and a way to verify it.
  • You can independently check a claim by counting the same street yourself before you sign.

Why an unverified footfall number is dangerous

Start with incentives. The person telling you a location is busy almost always gains if you agree — a higher rent, a faster letting, a better price for the goodwill they are selling. That does not make them liars; it makes them optimists with a stake. And optimism, converted into a round number with no evidence behind it, is exactly the kind of "fact" that feels solid right up until your first quiet Tuesday.

The danger is amplified by the shape of the commitment. A lease is a multi-year liability worth tens or hundreds of thousands. If the traffic is 30% lower than claimed, you do not find out for a month, and by then you are bound. An unverified footfall number — one with no disclosed method, no sample size, no error bar — gives you no way to tell a careful estimate from wishful thinking before the decision. Auditing it is not cynicism; it is basic diligence on the biggest cheque your business will write.

How to audit a footfall claim: five questions

You do not need to be a statistician to pressure-test a footfall claim. Ask these five questions, in order, and listen to how they are answered.

1. Where did the number come from?

Was it counted, modelled, or remembered? "We get about 5,000 a day" that turns out to be someone's impression is worth nothing. A figure from a mobile-phone panel is a modelled estimate of an area, not a count of the door — useful context, not ground truth (see why panels go blind on your sidewalk). A figure from an actual count of the actual street is the strongest source. Make them tell you which it is.

2. What method produced it?

A trustworthy claim can describe how it was made: a person with a clicker on these dates, a sensor over the door, a video count of the pavement. "It's just well known" is not a method. If nobody can describe how the number was generated, treat the number as decoration.

3. How big and how representative was the sample?

A count from one sunny Saturday lunchtime is not a daily average, and it is certainly not a weekly one. Ask what hours and days were observed. A claim built on a genuinely representative sample — weekday and weekend, across trading hours — can support a projection; a claim built on a favourable snapshot cannot, no matter how confidently it is stated.

4. What is the margin of error?

This is the fastest way to spot a number that is pretending. Every figure derived from a sample has uncertainty, and an honest source will express it as a range — "about 1,200 a day, likely 1,000 to 1,400." A suspiciously precise single figure with no interval is a red flag: it is claiming a certainty that no sample provides. If the answer to "what's your margin of error?" is a blank look, you have learned something important.

5. Can it be independently verified?

Can someone who is not selling you the location check the number? The gold standard is evidence a third party can inspect: an annotated overlay video showing the counter at work, and a public verification page listing the method and the dates. A claim that can only be taken on trust is, by definition, unverifiable — and unverifiable is the whole problem you are trying to solve.

What a defensible Location Score must contain

If you are going to rely on a footfall document — or produce one to negotiate with — hold it to a clear standard. A defensible report, and a defensible Location Score built on it, contains all of the following:

  • A disclosed method. How the counting was done, in language a non-specialist can follow.
  • The observed sample and dates. What was actually filmed or counted, and when — not just the projected total.
  • Counts broken down by hour, day and direction. The shape, not only the headline, so you can see whether the traffic arrives when your business trades.
  • A confidence interval and a plain confidence tier. Uncertainty shown honestly, with short samples labelled as spot readings rather than projected to a month.
  • Honest gaps. Where a component cannot be computed from the data, it is left blank and the rest renormalised — never padded with a flattering default. (Our Location Score guide shows this in action.)
  • A verification path. A way for a landlord, bank or partner to check it independently — an overlay clip and a QR-verified public page.

A document with all six is one a counterparty will believe. A document missing several is an assertion wearing the costume of evidence.

Check it yourself before you sign

The most powerful audit is the one you run yourself. You do not need the landlord's cooperation to count the landlord's street — it is a public pavement. Capture your own footage with a phone, run an independent ground-truth count, and compare it against the claim. If they match, you sign with confidence. If there is a large gap, you have found it at the only moment it can still change the deal.

That is the entire point of this brand: turning "trust me" into "here is the proof," on the side of the person taking the risk. Start a $49 Spot Check to get your own independent read, or see the study tiers on the pricing page for a decision-ready audit.

Frequently asked questions

Why is an unverified footfall number dangerous? Because the person quoting it usually benefits from you believing it, and a lease locks in that belief for years. An unverified number has no disclosed method, no sample size and no margin of error, so you cannot tell an honest estimate from a hopeful round-up until it is too late to matter.

How do I audit a footfall claim before signing a lease? Ask five things: where the number came from, what method produced it, how big and how representative the sample was, what the margin of error is, and whether it can be independently verified. A claim that survives all five is trustworthy; one that dodges any of them is not.

What must a defensible footfall report contain? A disclosed method, the observed sample and dates, counts broken down by hour, day and direction, a confidence interval rather than a single round number, and a way for a third party to verify it — such as an annotated overlay and a public verification page.

Can I check a landlord's footfall figure myself? Yes. You can capture your own footage of the same street with a phone and run an independent count, then compare it against the claim. A large gap between the claim and a ground-truth count is exactly what you want to find before you sign, not after.

A plain-language guide to running a foot traffic study before you sign a retail lease: what to measure, what a Location Score means, and how to get a number a bank or partner will believe.

What 'accurate' really means in people counting: MAPE, confidence intervals, ground truth, and why mobile panel estimates go blind on your exact sidewalk. The honest accuracy explainer.

A plain-language guide to reading your Location Score: what the 0–100 number means, the four parts it is built from, confidence tiers, and how sampling turns a few days of footage into a defensible estimate.