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Brand Lift Survey After DOOH Campaign: Setup, Tools, Validity

Christian Starzengruber

Christian Starzengruber

Founder, adyoutiser

4 May 2026Last updated: 7 October 20269 min read699
Brand Lift Survey After DOOH Campaign: Setup, Tools, Validity

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:

  1. Aided Awareness — ‘‘Which of these brands do you know?’’
  2. Unaided Awareness — ‘‘Which brands in category X come to mind?’’
  3. Consideration — ‘‘Which would you consider for next purchase?’’
  4. 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

ToolSetupSample 800GeoMobile match
Pollfish€0~€800yesno
Cint€500~€1,500yesyes (€5k+)
Survicate€69/mo~€600limitedno

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.

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MeasurementBrand LiftDOOHKPI
Christian Starzengruber
Author

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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