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Privacy-First Marketing Measurement Readiness Audit

Assesses an organization's preparedness for third-party cookie deprecation and signal loss across paid media channels, covering current measurement maturity, privacy-preserving toolkit adoption, investment priorities, and organizational barriers. Designed for marketing, analytics, and data science leaders.

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Template Overview

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This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.

Sample Survey Items

Q1
Chat Message
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.
Q2
Multiple Choice
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
Q3
Opinion Scale
In the past 6 months, how much measurement signal loss have you observed in your paid media performance data?
Range: 1 – 5
Min: No noticeable lossMid: NeutralMax: Severe loss
Q4
Multiple Choice
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
Q5
Multiple Choice
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
Q6
Multiple Choice
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)
Q7
Opinion Scale
How would you rate the maturity of your organization's Marketing Mix Modeling (MMM) program today?
Range: 1 – 5
Min: No program in placeMid: NeutralMax: Fully mature and continuously optimized
Q8
Opinion Scale
How confident are you in the accuracy of your organization's modeled conversion data (e.g., platform-modeled or statistically inferred conversions)?
Range: 1 – 5
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q9
Opinion Scale
How prepared is your organization for third-party cookie deprecation across key browsers?
Range: 1 – 5
Min: Not at all preparedMid: NeutralMax: Fully prepared
Q10
Dropdown
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
Q11
Ranking
Please rank the following measurement priorities for your organization over the next 12 months, from highest to lowest priority.
Drag to order (top = most important)
  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
Q12
Ranking
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.
Drag to order (top = most important)
  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
Q13
Opinion Scale
How challenging is insufficient budget or executive sponsorship as a barrier to adopting privacy-first measurement?
Range: 1 – 5
Min: Not at all challengingMid: NeutralMax: Extremely challenging
Q14
Opinion Scale
How challenging is a lack of specialized talent or skills (e.g., data science, privacy engineering) as a barrier?
Range: 1 – 5
Min: Not at all challengingMid: NeutralMax: Extremely challenging
Q15
Opinion Scale
How challenging is technology fragmentation or lack of integrated tools as a barrier?
Range: 1 – 5
Min: Not at all challengingMid: NeutralMax: Extremely challenging
Q16
Opinion Scale
How challenging is insufficient data quality or gaps in first-party data as a barrier?
Range: 1 – 5
Min: Not at all challengingMid: NeutralMax: Extremely challenging
Q17
Opinion Scale
How challenging is cross-functional misalignment (e.g., between marketing, IT, legal) as a barrier?
Range: 1 – 5
Min: Not at all challengingMid: NeutralMax: Extremely challenging
Q18
Opinion Scale
How challenging is limited support or documentation from ad platforms and vendors as a barrier?
Range: 1 – 5
Min: Not at all challengingMid: NeutralMax: Extremely challenging
Q19
Dropdown
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
Q20
AI Interview
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 6
Q21
Long Text
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?
Max chars
Q22
Dropdown
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
Q23
Dropdown
What is your company size (number of employees)?
  • 1–49
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000+
  • Prefer not to say
Q24
Dropdown
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
Q25
Dropdown
What is your primary operating region?
  • North America
  • Europe
  • Latin America
  • APAC
  • Middle East/Africa
  • Global
  • Prefer not to say
Q26
Dropdown
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
Q27
Chat Message
Thank you for completing this survey—your insights will help advance privacy-first measurement practices across the industry. You may now close this page.

Frequently Asked Questions

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