Decisions backed by data
See where and when your audience moves before you book teams or print a single flyer.
Footfall analysis tool
Choose your spot with a free footfall calculator
- Check pedestrian volumes for any street, station, or shopping precinct in Australia before you commit a budget.
- See when the crowd turns up: commute peaks, the lunch rush, event nights, and weekend markets.
- Use the numbers to pick sites and missions for your flyering, then measure what each one returns.
Footfall Analysis
High foot-traffic densityMedium foot-traffic densityLow foot-traffic density
Estimated results
Number of potential audiences…
Recommended number of flyers to distribute…
Get started
Turn footfall data into campaigns
Plan direct mail, unaddressed mail, and flyering from one place inside Oppizi OS
Why footfall analysis beats a hunch
Pick your sites on evidence, spend where the crowd actually is, and give every flyer a better chance of landing.
Better engagement
Reach people while they are actually there, so more flyers turn into scans and sign-ups.
Spend that works harder
Put budget into peak hours and busy sites instead of spreading it thinly across a city.
A local edge
Know a precinct better than the brands competing for the same attention on the same footpath.
Results that show up in the real world
FAQ
Frequently asked questions
Still weighing it up? Our Australian team can sanity-check your sites with you.
Footfall analysis measures how many people move through a place, and when. For offline marketing it tells you which streets, stations, and precincts carry enough of the right traffic to be worth a flyering mission, and which hours are worth booking.
It shows the busiest locations and time windows in the area you are considering, so you can put brand ambassadors, flyers, or letterbox runs where the most relevant people will see them. In practice that means fewer wasted flyers and a better cost per acquisition.
Yes. Select a single street, a station entrance, a shopping strip, or a wider commercial zone, and the tool returns footfall for that selection, so the read matches the campaign you are actually planning rather than a whole-city average.
Event organisers use it to time doors and staffing around peak movement, and retailers use it to set trading hours and rosters. Anything that depends on knowing when people walk past benefits from the same data.