01
Exposed vs control
Compare visitors who saw the campaign with a statistically matched group that did not.
Use case / OOH to Store Measurement
Prove how OOH drives store visits
Show advertisers how OOH campaigns drive real store visits and deliver business outcomes. Spotzi compares exposed audiences with a statistically matched control group to quantify incremental lift.
Exposed vs control analysis / incremental visit lift
What Spotzi makes possible
Prove how OOH drives store visits
Show advertisers how OOH campaigns drive real store visits and deliver business outcomes. Spotzi compares exposed audiences with a statistically matched control group to quantify incremental lift.
From signal to store visit
02
Incremental lift
Calculate the visit lift generated by the campaign, not just total footfall.
03
Store visit attribution
Connect exposure to visits at the stores and locations that matter to the advertiser.
04
Campaign reporting
Give clients clear, aggregated reporting they can use to justify budgets and repeat business.
Measure every screen and store
Foot Traffic Analysis links campaign exposure to verified store visits across the full screen and store network. Compare performance by screen, market or store and see which parts of the plan created incremental visits.
From impressions to incremental outcomes
We capture exposure through the OOH or DOOH network, match it to verified panel members and compare visit behaviour between exposed and control groups. The result is a clear view of incremental lift, not just proof of play.
What the report can show
- Store visit rate for exposed and control audiences
- Incremental lift per campaign, screen or store
- Audience insights behind the visits
- Comparisons across markets and time periods
When store lift is not an option, Brand Lift can reveal changes in awareness, consideration and purchase intent.
The decision layer for real-world marketing
Show what your OOH campaign really changed
Bring a live or completed campaign and we will scope the measurement approach with you.
- Privacy-first, without personal profiles
- Precise daytime audience targeting
- Campaign lift measured to the store visit