01
Pixel or cleanroom capture
Capture exposure in the ad or match IP addresses and device IDs through a secure cleanroom.
Use case / Web to Store Measurement
Web-to-store measurement for online campaigns
Connect digital exposure to real store visits. Spotzi matches ad exposure to privacy-safe mobility data and compares exposed and control audiences so you can see the lift your campaign created.
Pixel or cleanroom / verified visits / incremental store lift
What the study proves
Connect online media to offline outcomes
Spotzi links ad exposure to store visits and adds a control group so you can see the lift, not just the clicks.
From signal to store visit
02
Control group setup
Build a baseline from unexposed audiences so the measurement reflects true incremental impact.
03
Visit and lift measurement
Track store visits across exposed and control devices and compare visitation rates.
04
Privacy-first reporting
Receive aggregated reports without mobile advertising IDs or individual movement histories.
See the incremental lift behind every campaign
Lift is calculated by comparing the visit rate of the exposed group with the control group. If the exposed group visits at 2.25% and the control group at 1.5%, the incremental lift is 50%. That is the number that shows what the campaign changed.
How web-to-store measurement works
01. Capture exposure
Use a tracking pixel in the ad or a cleanroom that matches IP addresses or device IDs with the publisher. This requires user consent for third-party sharing.
02. Build a control group
A baseline group is required to measure true impact. The same pixel can be placed in an unrelated advertisement, or the publisher can provide a non-exposed group.
03. Match store visits
We track store visits across exposed and control devices and compare visitation rates.
04. Report incremental lift
If the exposed group visits at 2.25% and the control group at 1.5%, the incremental lift is 50%. That is the number that shows what the campaign changed.
Reports are aggregated and designed to prevent identification. After six months, device-level information is deleted.
Web-to-store measurement questions
What is web-to-store measurement?
It connects online ad exposure to real store visits and compares exposed and control audiences to estimate incremental lift.
How do you connect ad exposure to store visits?
Exposure is captured through a tracking pixel or a cleanroom match. Store visits are then measured with privacy-safe mobility data.
Why is a control group necessary?
A control group shows what would likely have happened without the campaign. Without it, a visit count cannot prove incremental impact.
Is this privacy-safe?
Yes. Reports are aggregated, device-level information is removed after the agreed retention period and no mobile advertising IDs are shared.
Can we measure multiple publishers or campaigns?
Yes. The study can be designed across publishers, campaigns and store networks, provided the exposure and visit data can be matched.
The decision layer for real-world marketing
Measure the store impact of your next online campaign
Tell us about the campaign, the publisher and the stores you want to measure. We will map the measurement design.
- Privacy-first, without personal profiles
- Precise daytime audience targeting
- Campaign lift measured to the store visit