Q01
Long Text
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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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
27 questions · ~4 min
Q02
Multiple Choice
Are you involved in decisions or strategy related to marketing measurement, analytics, or media performance at your organization?
Q03
Long Text
In the past 6 months, how much measurement signal loss have you observed in your paid media performance data?
Q04
Multiple Choice
Beyond iOS-specific frameworks, which privacy-preserving measurement approaches does your organization actively use today? (Select all that apply)
Q05
Long Text
How prepared is your organization for third-party cookie deprecation across key browsers?
Q06
Long Text
How challenging is insufficient budget or executive sponsorship as a barrier to adopting privacy-first measurement?
Q07
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.
Q08
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?
Q09
Long Text
Which of the following best describes your primary role?
Q10
Long Text
Thank you for completing this survey—your insights will help advance privacy-first measurement practices across the industry. You may now close this page.
Q11
Multiple Choice
Which of the following channels have been most affected by measurement signal loss in the last 6 months? (Select all that apply)
Q12
Multiple Choice
For iOS app campaigns, which privacy-safe measurement approaches does your organization currently use? (Select all that apply)
Q13
Long Text
When does your organization expect to reach a stable, privacy-first measurement approach?
Q14
Long Text
How challenging is a lack of specialized talent or skills (e.g., data science, privacy engineering) as a barrier?
Q15
Long Text
What is your company size (number of employees)?
Q16
Long Text
How would you rate the maturity of your organization's Marketing Mix Modeling (MMM) program today?
Q17
Long Text
Please rank the following measurement priorities for your organization over the next 12 months, from highest to lowest priority.
Q18
Long Text
How challenging is technology fragmentation or lack of integrated tools as a barrier?
Q19
Long Text
What is your organization's primary industry?
Q20
Long Text
How confident are you in the accuracy of your organization's modeled conversion data (e.g., platform-modeled or statistically inferred conversions)?
Q21
Long Text
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.
Q22
Long Text
How challenging is insufficient data quality or gaps in first-party data as a barrier?
Q23
Long Text
What is your primary operating region?
Q24
Long Text
How challenging is cross-functional misalignment (e.g., between marketing, IT, legal) as a barrier?
Q25
Long Text
What is your organization's approximate annual digital media spend (USD)?
Q26
Long Text
How challenging is limited support or documentation from ad platforms and vendors as a barrier?
Q27
Long Text
Which of the following best describes your organization's consent and data governance practices for marketing measurement?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
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Open this template in the editor. Every part is yours to change before the first respondent sees it.