Industries / QSR
Close the online-to-offline restaurant gap.
Adsquare's real-world data helps you map and rank media inventory, undertake competitor conquesting, find target audiences for activation, move budget between line items, and prove the store visits you caused.
The retail problem
Discovery is digital. Conversion is a person walking through your door.
The QSR journey is compressed into hours. It starts on social, a delivery app or a map search, and it ends in a physical act: a walk-in, a drive-thru order, a pickup. Online-only media reporting misses the conversion point.
Growth is coming from deeper engagement with the customers you already have, which is impossible to buy without knowing who turned up.
Adsquare supplies the missing half: audience segments of restaurant visitors, verified restaurant visits, attributed to the exposure that caused them.
Retail brands and agencies working with Adsquare
The Outcomes Loop for QSR
Plan. Target. Optimize. Validate.
Plan against real footfall, reach people minutes from your door, move budget between locations mid-burst, and prove the visits you caused.
- 01
Planning
Understand your audience before you spend.
Map the catchment around every restaurant site to see where your customers live and work. Find the peak hours and days site-by-site, so a lunch offer runs in the lunch window. Benchmark each restaurant against nearby competitors and read the delivery-heavy locations differently from the dine-in ones.
Store IntelligenceOOH Intelligence - 02
Targeting
Reach the right people at the right moment.
QSR intent has a short window. Reach people already within a few minutes of a site, delivery-app users with channel-matched creative, and conquest audiences who visited a competitor in the last six months.
ID-Precise AudiencesGeo-Contextual Audiences - 03
Optimization
Shift spend towards offline conversions.
Visits matched against 2D building footprints, so the restaurant counts and the pavement outside does not. Deselect the inventory running a high cost-per-visit while the burst is still live, and move budget across the sites responding.
Visit Data Feed - 04
Validation
Prove the campaign worked in the real world.
Independent proof, not platform self-reporting. Visit uplift against an unexposed group, cost-per-incremental-visit, a leaderboard of your locations, how long people took to arrive, and how many came back.
Attribution Report
We were able to target the intended audiences in the most efficient, respectful and verifiable way and ultimately boost foot traffic at Subway restaurants.
FATIMA ATTOU · SENIOR MARKETING MANAGER, SUBWAY
Proof
Did the media put shoppers in the restaurant.
Independently measured, real-world campaigns.
125%
Uplift in restaurant visits against KPI, from 4M impressions
Spatial data and audience scoring ranked the poster inventory before launch. Screens running a high cost-per-visit were dropped mid-flight and budget moved to the best frames. Gold at The Drum Awards for Best Use of Digital OOH.
Read the case study36.2K
Measured walk-ins from 12M impressions over 7 months
A multi-location portfolio with no view of which tactics were delivering customers. Independent visit measurement, media-agnostic and separate from DSP reporting, let budget move to the tactics actually driving traffic.
Read the case study24.4M
Competitor visitors identified and addressable for conquest
Precision instead of "pizza lovers". Competitor visitors from the previous six months were quantified, and delivery-app audiences were split by platform so each got creative matched to how that customer actually orders.