Brand lift surveys are the most honest way to measure DOOH impact. But many are methodologically broken. Here is the clean setup and which tools work for SMB budgets.
TL;DR
A brand lift survey measures whether your DOOH campaign actually moved awareness, consideration, or purchase intent — by comparing an exposed group against a control group. Setup from €800 (Pollfish/Cint), minimum 400 per group for significance. Realistic awareness lift: 5–18 percentage points.
What a brand lift survey really measures
One question: ‘‘Did the campaign create more impact than if we had NOT run it?’’
If you run DOOH in May and brand recall is up 12% in June, that could be seasonality, other channels, or luck. A controlled survey isolates the DOOH effect.
Four core metrics:
- Aided Awareness — ‘‘Which of these brands do you know?’’
- Unaided Awareness — ‘‘Which brands in category X come to mind?’’
- Consideration — ‘‘Which would you consider for next purchase?’’
- Purchase Intent — ‘‘How likely to buy in next 30 days?’’ (1–10)
The clean setup (4 steps)
Step 1: Geo-target the survey
Respondents must come from the same region as the DOOH inventory. Vienna campaign tested with Linz residents = worthless. Pollfish and Cint support postal code targeting natively.
Step 2: Exposed vs control identification
Method A — Self-report (cheap, biased): Ask ‘‘Do you remember seeing ads for [brand]?’’ Recall bias inflates lift.
Method B — Mobile ID match (clean, expensive): DOOH inventory delivers anonymized mobile IDs of devices that passed screens. Survey tool matches against panel database. From €5,000.
Method C — Pseudo-control (SMB workaround): Geo comparison — Vienna (active) vs Linz (inactive) with matched demographics. Affordable at €800–2,000.
Step 3: Sample size
For 95% confidence at 5pp minimum detectable difference:
Min sample per group = ((1.96)² × p × (1-p)) / d²
With p=0.3, d=0.05 → n = 323 per group. Use 400+400 in practice.
Step 4: Timing
- Pre-wave: 1 week before campaign (baseline)
- Post-wave: Within 7 days after campaign (recall drops fast)
Skipping pre-wave is the #1 methodological error.
Tools for SMB
| Tool | Setup | Sample 800 | Geo | Mobile match |
|---|---|---|---|---|
| Pollfish | €0 | ~€800 | yes | no |
| Cint | €500 | ~€1,500 | yes | yes (€5k+) |
| Survicate | €69/mo | ~€600 | limited | no |
Under €5,000 media spend? Skip the survey — costs would eat 20%+. Use pseudo-control + brand-search lift instead.
Rough orientation for lift values (not our own study)
- Aided Awareness: +3–8pp small, +8–18pp larger campaigns
- Unaided Awareness: +1–4pp
- Consideration: +2–6pp
- Purchase Intent: +1–4pp
Red flag: anyone reporting +25pp aided awareness from a €3,000 campaign broke methodology somewhere.
What surveys CANNOT tell you
- ROI — needs conversion + attribution
- Long-term brand equity — 7-day survey only measures recall
- Creative A vs B — needs split inventory test
See also: DOOH cost overview and Share of Voice explained.
Calculate now
Plan campaign with brand-lift budget reserve: DOOH calculator.

Christian Starzengruber
Founder, adyoutiser
Ich habe Adyoutiser 2025 in Wien und Bratislava gestartet, weil Bildschirmwerbung keine Agentur brauchen sollte. Wir haben ein Buchungs-Tool gebaut: Bildschirm auf der Karte auswählen, Werbung hochladen, zahlen — live in unter 5 Minuten, ab €2. Wir veröffentlichen unsere Roadmap öffentlich und antworten auf jede E-Mail innerhalb von 24 Stunden.
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