Prove your campaign moved people, not just clicks
See whether a campaign changed real-world behaviour. We compare people who were exposed with a similar group who were not, and report the difference in visits. Built from privacy-compliant mobile data, for digital, connected TV and out-of-home campaigns in Canada.
Clicks and impressions stop at the screen
Most campaigns that aim to drive store or venue visits are still judged on impressions, clicks and reach. None of them show whether anyone walked through the door.
Out-of-home is harder still, since there is no click at all. Without a measure of real-world visits, media plans get renewed on habit rather than evidence.
What the report shows
One idea, stated plainly: compare the people who were exposed with similar people who were not, and measure the gap in visits.
Exposed vs control
The exposed group saw the campaign. The control group looks like them but did not. The gap between the two is the lift.
Visitation lift
How much more often the exposed group visited your locations than the control group, as an index.
Before, during and after
A baseline before the flight, then the trend through the campaign and the weeks after it ends.
Results by location and market
Which stores, venues or regions responded most, so you can shift spend.
Compare flights and markets
The same method across markets or successive campaigns, so results are comparable.
A write-up with the method stated
Clear findings and limits, ready for a client, a media owner or your leadership.
How it works
Results usually take 2 to 3 weeks from when we have the campaign details.
Share the campaign
Flight dates, the locations you want visits to, and how the campaign was delivered.
We build the groups
An exposed group, and a control group with similar patterns that did not see the campaign.
We measure the lift
Visits for both groups before, during and after the flight, using privacy-compliant mobile data.
You get the results
Indexed lift, the trend, and the method, ready to present.
Measuring lift against a baseline: an event example
We don't have a published campaign attribution case study yet. This example is an event, not an ad campaign, but it uses the same core idea of measuring change against a fair comparison. A recurring downtown event in the Niagara region was measured against ordinary weekends across two years.
Read the case study →Who it's for
- AgenciesFootfall measurement for client campaigns, against a control group
- Media owners and out-of-home networksShow advertisers your screens drove visits
- Retail, restaurant and automotive brandsProve a campaign moved store and dealer visits
- Venues and eventsMeasure whether promotion brought people in
Brand lift, awareness and creative testing studies are also available through RadiusAds, our research service.
Questions
What is a control group?
A group of people with similar patterns to the exposed group, such as where they live and the places they visit, who did not see the campaign. Comparing the two separates the campaign's effect from what would have happened anyway.
Can you measure out-of-home campaigns?
Often, yes. Exposure is usually inferred from devices that passed the screen locations during the flight. Tell us the screens and dates and we'll tell you what can be measured before you commit.
Does this prove the campaign drove sales?
No. We measure visits, not purchases. Lift in visits is strong evidence a campaign changed behaviour, and it pairs well with your own sales data.
When should we involve you?
Before the flight starts, ideally, so we can set the baseline and control group. A campaign that has already run can sometimes be measured. Tell us the dates and how it was bought.
How do you handle privacy?
Every insight is aggregated and anonymized. We collect no personal information, report patterns at scale and never individuals, and our data and methods are built to meet PIPEDA and the provincial privacy rules that apply where we work.
How long does it take?
A first analysis usually takes 2 to 3 weeks from when we have the campaign details.
Find out what your last campaign really did
Tell us the campaign. We'll start with a complimentary sample insight.