Location Attribution
Location attribution connects offline store visits to prior marketing exposures—such as digital ads, email campaigns, or out-of-home media—to measure the real-world impact of advertising. It closes the measurement loop between online impressions and physical foot traffic.
Location attribution is an analytics methodology that determines whether a consumer's visit to a physical location can be causally or statistically linked to a specific marketing touchpoint they were previously exposed to. It answers the question: did this ad drive that store visit?
How It Works
Location attribution platforms match anonymized mobile device identifiers observed at a store location against a set of devices known to have been exposed to a campaign—whether through a served digital ad, an email open, or presence within the viewshed of an out-of-home billboard. By comparing the visit rate of the exposed group against a control group of unexposed but demographically similar devices, the platform calculates the incremental lift in visits attributable to the campaign. Statistical controls for baseline visit propensity, geographic proximity, and time decay ensure that correlation is distinguished from causation as rigorously as possible.
Applications
Retailers measure the store traffic driven by digital display, social media, and connected TV campaigns. Quick-service restaurants evaluate the incremental visits generated by mobile coupon distributions. Out-of-home media companies demonstrate billboard effectiveness to advertisers. Automotive brands attribute dealership visits to online vehicle configurator sessions. Location attribution provides the accountability framework that justifies marketing spend by proving its impact on physical-world consumer behavior.
Bereit?
Sehen Sie Mapular
in Aktion.
Buchen Sie eine kostenlose 30-minütige Demo. Wir zeigen Ihnen genau, wie die Plattform für Ihren Anwendungsfall funktioniert — kein generisches Foliendeck, keine Verpflichtung.