Selectivv - part of Fonia Group · Warsaw · London · Berlin+48 512 846 779 · selectivv@selectivv.com

Footfall research

Footfall research: how many store visits did the campaign drive

We measure footfall at your locations before, during and after a campaign, including OOH and DOOH. We compare people who saw the ad with a control group. The result is visits, not clicks.

Footfall is one of three measurement methods. See also brand lift and geo lift →
Weekly store visitsCampaign: weeks 6-9
wk 1wk 6wk 12
+68%visits during the campaign
+18%post-campaign effect
vs control groupnot exposed

Sample data illustrating the method

What we measure

Footfall research metrics

Visitors

Unique people and visits, daily and weekly.

Lift

The difference in visits between the exposed group and the control group.

Competition

Whether customers switched from a competitor to you.

Catchment

Where new visitors came from, on an H3 hexagonal grid.

Ongoing footfall

Footfall monitoring in the OmniFonia dashboard

A one-off study or an ongoing dashboard with monthly data for multiple locations. From $50 per location per month.

Discover OmniFonia
OmniFonia · Catchment analysis
Selectivv DMP · sample data, anonymised
Visitors / month2,951Unique people
Visits / day351Average of trading days
Visits per device3.09Returns within the month
Traffic / month76,924Whole retail park or mall
Capture rate11.9%Share of venue traffic
Penetration0.48%Relative to population in range
Visits by day of week
Mon
17.2%
Tue
14.5%
Wed
14.7%
Thu
16.5%
Fri
15.4%
Sat
21.6%
Sun
0.1%
Visits by hour
8:0014:0020:00

FAQ

Footfall questions

What is footfall?

Footfall is foot traffic, the number of people visiting a location. Footfall research measures how this traffic changes, for example as a result of a campaign.

Can you measure the effect of an outdoor campaign?

Yes. We identify people who were near the billboard and check whether they visited your stores more often than a control group.

How long does a study take?

It depends on the campaign period. We agree the timeline when quoting, based on the number of locations and the period.

Check the effect of your last campaign

Historical data lets us measure campaigns that have already ended.