Privacy-First Marketing Measurement Readiness Audit

Welcome! This survey explores your organization's marketing measurement practices and readiness for privacy-driven changes in the digital advertising ecosystem. Your participation is voluntary, and you may stop at any time. There are no right or wrong answers—we are interested in your honest assessment of your organization's current state. All responses are confidential and will be reported in aggregate only. Estimated completion time: 8–10 minutes.

Are you involved in decisions or strategy related to marketing measurement, analytics, or media performance at your organization?

• Yes, it is a primary responsibility
• Yes, I contribute but it is not my primary role
• No, I am not involved

In the past 6 months, how much measurement signal loss have you observed in your paid media performance data?

Beyond iOS-specific frameworks, which privacy-preserving measurement approaches does your organization actively use today? (Select all that apply)

• First-party data strategy (consented IDs)
• Server-side tagging and first-party data collection
• Conversion APIs (e.g., Google Enhanced Conversions, Meta CAPI)
• Aggregated conversions or modeled reporting
• Marketing Mix Modeling (MMM)
• Geo/holdout/incrementality tests
• Data clean rooms
• None of the above
• Other

How prepared is your organization for third-party cookie deprecation across key browsers?

How challenging is insufficient budget or executive sponsorship as a barrier to adopting privacy-first measurement?

You've shared details about your organization's measurement practices and readiness. We'd like to explore a couple of areas in more depth. An AI moderator will ask you 1–2 brief follow-up questions.

Based on the topics covered in this survey, what single change or investment would most improve your organization's measurement readiness in the next quarter?

Which of the following best describes your primary role?

• Brand/marketing leader
• Performance/digital marketer
• Marketing analytics/BI
• Data science/econometrics
• Product growth/UA
• Agency/consultant
• Other

Thank you for completing this survey—your insights will help advance privacy-first measurement practices across the industry. You may now close this page.

Which of the following channels have been most affected by measurement signal loss in the last 6 months? (Select all that apply)

• Web display/programmatic
• Paid social (web/app)
• Search (paid)
• Mobile app user acquisition (iOS/Android)
• Email/SMS
• Connected TV/OTT
• Affiliate/partner
• Other
• None

For iOS app campaigns, which privacy-safe measurement approaches does your organization currently use? (Select all that apply)

• SKAdNetwork (version 4+)
• LockWindow and privacy threshold management
• Network-provided aggregated reporting
• Conversion value schema optimization
• None of these
• Not applicable (no iOS app campaigns)

When does your organization expect to reach a stable, privacy-first measurement approach?

• Already there
• 0–3 months
• 4–6 months
• 7–12 months
• More than 12 months
• Unsure

How challenging is a lack of specialized talent or skills (e.g., data science, privacy engineering) as a barrier?

What is your company size (number of employees)?

• 1–49
• 50–249
• 250–999
• 1,000–4,999
• 5,000+
• Prefer not to say

How would you rate the maturity of your organization's Marketing Mix Modeling (MMM) program today?

Please rank the following measurement priorities for your organization over the next 12 months, from highest to lowest priority.

1. Optimize media ROI
2. Attribution accuracy without third-party cookies
3. Privacy compliance by design
4. Incrementality testing/experiments
5. Cross-channel reach and frequency measurement
6. Customer LTV measurement

How challenging is technology fragmentation or lack of integrated tools as a barrier?

What is your organization's primary industry?

• Retail/eCommerce
• Consumer apps/games
• Financial services
• Technology/SaaS
• Media/Entertainment
• Travel/Hospitality
• Healthcare
• CPG
• Other
• Prefer not to say

How confident are you in the accuracy of your organization's modeled conversion data (e.g., platform-modeled or statistically inferred conversions)?

Please rank the following investment areas by how much priority your organization plans to give them over the next 6 months, from highest to lowest.

1. MMM and modeling
2. Incrementality/experiments (geo/holdouts)
3. First-party data and identity
4. Server-side tagging/Conversion APIs
5. Privacy tech and consent management
6. Analytics and reporting tools
7. Team training and enablement

How challenging is insufficient data quality or gaps in first-party data as a barrier?

What is your primary operating region?

• North America
• Europe
• Latin America
• APAC
• Middle East/Africa
• Global
• Prefer not to say

How challenging is cross-functional misalignment (e.g., between marketing, IT, legal) as a barrier?

What is your organization's approximate annual digital media spend (USD)?

• Less than $1M
• $1M–$5M
• $5M–$20M
• $20M–$100M
• More than $100M
• Prefer not to say

How challenging is limited support or documentation from ad platforms and vendors as a barrier?

Which of the following best describes your organization's consent and data governance practices for marketing measurement?

• Formal policies, audited and enforced
• Documented policies, partially enforced
• Ad-hoc practices
• In development
• Not started/unsure