Using footfall to choose the place and time for a pop-up or event
A pop-up or a street event has days, not years. How to use footfall to pick the spot, the day and the hours, and why the weather belongs in the same plan.
For a pop-up shop, a sampling day or a small street event, footfall answers three questions at once: which spot has the most people present, on which day of the week, and in which hours. Because the event lasts days rather than years, those three matter more than the yearly average. Mobility Footfall gives each candidate spot its average day, its peak hour, its split of the day and its busiest day, so you can line them up side by side before you book.
This is for brand managers, field marketing agencies and event organisers. It walks through choosing between spots, picking the slot, combining footfall with the weather, and the honest limits of planning a short event from recent data.
A pop-up is a bet on a few days
A shop on a five-year lease can grow its own crowd. A pop-up cannot: it has to stand where people already are, at the moment they are there. That is why a short event rewards a precise reading of the week. A spot that is quiet on the one Saturday you booked is a lost weekend, however good its average looks.
Choosing between spots
- List the candidate spots: malls, market halls, station forecourts, a park entrance. A quick way to gather them is Nearby places with the types you want, in your city.
- Run Mobility Footfall on them with a 200 metre circle, the last 30 days, and Busy hours and Busiest days ticked.
- Run it a second time with Days set to the days your event will run (weekends only, for most pop-ups).
- Sort the spots by the footfall of those days, not by the whole week.
- Keep the top five and look at their peak hours: that is when your stand needs its full team.
An example: one brand, two cities
A made-up skincare brand plans a weekend pop-up in Seoul and a sampling stand at a Saturday market in Cape Town. In Seoul it compares three department-store entrances; in Cape Town, two market halls near the waterfront.
| Spot | Weekend footfall a day | Peak hour | Evening share | Busiest day |
|---|---|---|---|---|
| Seoul, entrance 1 | 58,000 | 15:00 | 31% | Saturday |
| Seoul, entrance 2 | 64,000 | 19:00 | 46% | Saturday |
| Seoul, entrance 3 | 41,000 | 13:00 | 22% | Sunday |
| Cape Town, hall A | 23,000 | 11:00 | 12% | Saturday |
| Cape Town, hall B | 19,000 | 12:00 | 15% | Sunday |
Made-up figures, to show how the choice is read.
In Seoul, entrance 2 has the most people, but almost half of its day is in the evening. If the brand’s team can only staff until 18:00, entrance 1 is the better choice: slightly fewer people, but a peak at 15:00 that a day team can serve. In Cape Town the market crowd is a morning crowd, peaking before noon, so the stand should be set up and sampling by 09:30, not arriving at 11:00.
Add the weather
Footfall describes an average day. The day you choose may not be average, and outdoors the weather is usually why. Put a Weather forecast block after Mobility Footfall to add the rain, wind and temperature expected at each spot for the next days. A spot that wins on footfall but expects rain on the weekend can drop to second place, or move indoors.
This is the idea behind the template Sampling day: the busiest spots and the weather, and behind Where to put a pop-up shop this month, which ranks malls, markets and shopping streets for a one-month stay.
What recent data can and cannot promise
- Footfall arrives about ten days late, so your plan is built on the weeks just before, not on the event day. For a pattern that repeats every week, that is enough.
- A one-off occasion, such as a festival, a concert or a national holiday, will not look like an ordinary week. Footfall from ordinary weeks cannot predict it; plan those days on their own.
- The data starts on 17 October 2026 and does not yet cover Australia. Where a spot has no data, the block says so rather than showing zero.
- People-hours are presence, not interest. A crowd waiting for a train counts as much as a crowd walking a market.
A planning flow for an agency
An agency that runs pop-ups for several brands can keep a standing flow: a New rows trigger on a sheet where account managers paste a city, a kind of spot and the event dates; Nearby places to find the spots; Mobility Footfall for the days of the event; Weather forecast for those dates; xMap LLM to rank the spots and suggest staffing hours; and an Email back to the account manager. What arrives is a ranked shortlist with the hours to staff, ready to take to the client.
Questions
Can footfall predict the crowd at my event?
It shows how busy each spot usually is on the days and hours you choose. Your event may draw more, and a one-off occasion nearby may change the day entirely.
What circle should I use for a stand?
Around 200 metres, the spot’s own small area of the map. A wider circle mixes in nearby streets whose crowds will not pass your stand.
How far ahead can I plan with it?
As far as you like for the choice of spot and hours, since weekly patterns repeat. Leave the weather check to the last week, when forecasts are reliable.
Does it work for indoor spots like a mall atrium?
It measures presence in the small area around the position you give, so it reflects the part of the building around that point, not a single corridor.