01
Tracking pixel or cleanroom
Capture exposure in the ad or match IP addresses and device IDs through a secure cleanroom.
Use case / Web to Store Measurement
Connect online campaigns to real store visits
Measure how digital campaigns drive people into stores. Spotzi matches ad exposure to privacy-safe mobility data and compares exposed and control audiences to quantify the lift.
Tracking pixel or cleanroom / incremental store lift
What Spotzi makes possible
Connect online campaigns to real store visits
Measure how digital campaigns drive people into stores. Spotzi matches ad exposure to privacy-safe mobility data and compares exposed and control audiences to quantify the lift.
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 online to store measurement works
01. Data capture and match
We capture exposure through 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. Control group setup
To measure true impact, a baseline group is required. The same pixel is placed in an unrelated advertisement, or the publisher provides a non-exposed group.
03. Visit and lift measurement
We track store visits across exposed and control devices. Comparing visitation rates reveals the incremental lift generated by the campaign.
Reports are aggregated and designed to prevent identification. After six months, device-level information is deleted.
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