AdQuick measures real lift, real conversions, and real ROI from every OOH and programmatic campaign, with the rigor your other channels are already held to.
Illustrative. Lift modeled against matched control markets.
A controlled experiment compares exposed markets to matched controls, then models the lift statistically attributable to OOH against baseline.
Unit-level exposures for static and digital, from anonymized, opt-in location data on a BigQuery pipeline with anomaly filtering.
We match individual exposed devices to the people who actually converted, web, app, or in-store. Customer-level, not modeled approximation.
Static and digital units across two metros. Treatment and control built from location data, brand surveys fielded, conversions mapped to exposures.
Also measured: online car retailer, 200 static units across 4 metros, 650K exposures, 13K conversions, 10.5 avg days to convert.
Measure spans direct OOH and programmatic, and connects to the KPI Scenario Builder and Agency OOH Intelligence, so launch goals become the benchmarks you report and the inputs for your next plan.
Advertiser-level default measurement on MSAs auto-runs device passback, search lift, and brand lift on every booked campaign, no per-campaign setup.
Yes, through controlled exposed-vs-control market experiments that isolate the OOH-attributable lift against baseline.
Individual customer-level, segmentable by unit, vendor, market, screen type and size, and creative.
Exposure reporting, web/app/footfall attribution, causal lift, brand lift, search lift, and halo across Google and Facebook, on direct OOH and programmatic.
Yes, via device passback: exposed, exposed-converted, and exposed-incremental segments.
Scheduled daily or weekly client reports, plus PDF and CSV exports.
Our OOH measurement experts will build a plan around your KPIs and show you the dashboard with your own data.
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