Prompt
How do I ensure my OOH campaign measurement with a measurement platform is compliant?
Latest observation
To make OOH campaign measurement compliant, focus on privacy-by-design, vendor due diligence, and data minimization. Here’s a practical checklist:
1) Define the data you actually need
- Use the minimum data necessary to measure reach, frequency, impressions, visits, or attribution.
- Prefer aggregated, anonymized, or pseudonymized data over raw device or person-level data.
- Avoid collecting sensitive personal data unless you have a clear legal basis and explicit consent where required.
2) Check the legal basis for measurement
Depending on where you operate, ensure you have a valid lawful basis under applicable privacy laws:
- Consent where required, especially for tracking technologies or precise location data in some jurisdictions.
- Legitimate interest may be possible in some cases, but requires balancing and documentation.
- Make sure the basis aligns with how the platform collects and uses data.
3) Review how the platform collects data
Ask the measurement vendor:
- What data sources are used?
- Is data collected via mobile SDKs, apps, cookies, GPS, Wi-Fi, Bluetooth, or partner data?
- Is location data precise or coarse?
- Is data de-identified before you receive it?
- Can individuals opt out?
If the platform uses mobile location data, it’s especially important to confirm:
- Proper consent is obtained by the original app/data source
- Data is not repurposed beyond what users agreed to
- Data is not shared in a way that could re-identify people
4) Put the right contracts in place
You may need:
- A Data Processing Agreement (DPA)
- Controller/processor terms clarified
- Standard Contractual Clauses (SCCs) or other transfer mechanisms if data crosses borders
- Restrictions on vendor use of data for their own purposes
- Security and deletion commitments
5) Conduct a privacy impact assessment
For campaigns involving location or behavioral data, perform a:
- DPIA / PIA to assess risks
- Document necessity, proportionality, retention, and safeguards
- Confirm whether your campaign triggers special regulatory obligations
6) Be transparent
Update or confirm:
- Your privacy notice
- Any consent language on your site/app
- Ad-tech disclosures about measurement partners
- Opt-out mechanisms where applicable
7) Limit retention and downstream sharing
- Set clear data retention periods
- Ensure measurement data is deleted or aggregated when no longer needed
- Restrict sharing with third parties unless they’re contractually bound and legally permitted
8) Verify security
Require:
- Encryption in transit and at rest
- Access controls and logging
- Incident response and breach notification procedures
- Regular security reviews or certifications if relevant
9) Check regional rules
Compliance varies by region. For example:
- EU/UK: GDPR, ePrivacy rules, data transfer restrictions
- US: state privacy laws (e.g., California CPRA), location data restrictions, consumer opt-out rights
- Other regions: local marketing, telecom, and data protection laws may apply
10) Document everything
Keep records of:
- Vendor assessments
- Legal basis decisions
- DPIA/PIA outcomes
- Consent/opt-out flows
- Data maps and retention policies
Quick vendor questions to ask
- What exact data do you collect and from where?
- Do you use precise location data?
- How do you obtain user consent?
- Is the data shared with any subcontractors or partners?
- Can data be linked back to an individual device or person?
- What retention/deletion policies do you follow?
- What regions is the data stored or processed in?
- Can you support DSARs, opt-outs, and deletion requests?
If you want, I can turn this into a one-page compliance checklist for your team or tailor it to GDPR, UK, or US state privacy laws.
Brands
Observation history
See 1 earlier observation
Create a free Obsurfable account to unlock historical responses, model comparisons, and deeper brand intelligence.
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.