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

Questions

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

Sample Survey Items

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.

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

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

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

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

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)

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

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

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)

Optimize media ROI
Attribution accuracy without third-party cookies
Privacy compliance by design
Incrementality testing/experiments
Cross-channel reach and frequency measurement
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)

MMM and modeling
Incrementality/experiments (geo/holdouts)
First-party data and identity
Server-side tagging/Conversion APIs
Privacy tech and consent management
Analytics and reporting tools
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