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Campaign Goals & Attribution Practices Audit

A 90-day diagnostic survey for ecommerce teams to evaluate campaign goal-setting, attribution methods, tool effectiveness, and cross-functional alignment — surfacing gaps in ROAS, CAC measurement, and reporting workflows.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

28 questions · ~12 min
Q01
Message

Welcome to the Campaign Goals & Attribution Audit. This survey asks about your experience with campaign planning, measurement, and attribution over the last 90 days. Your responses will help us identify gaps and improve our processes. • There are no right or wrong answers — we want your honest perspective. • Your responses are confidential and will be reported in aggregate only. • Participation is voluntary and you may stop at any time. • Estimated completion time: 8–10 minutes. Please proceed when ready.

Q02
Multiple Choice

In the last 90 days, have you been directly involved in planning or executing any customer-facing campaigns?

  • Yes
  • No
  • Not sure
Q03
Opinion Scale

Over the last 90 days, how clear have the company's campaign goals been to you?

Scale: 17
Min:Not at all clearMax:Extremely clear
Q04
Opinion Scale

How confident were you in attributing your most recent campaign's impact across channels?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q05
Multiple Choice

Which tools do you personally use to measure or report campaign performance? Select all that apply.

  • Google Analytics 4
  • Adobe Analytics
  • Facebook Ads Manager
  • Google Ads
  • TikTok Ads
  • Email platform analytics (e.g., Klaviyo)
  • CDP (Customer Data Platform)
  • BI tool (e.g., Looker, Power BI)
  • Mobile MMP (e.g., AppsFlyer, Adjust)
  • Attribution SaaS (e.g., Northbeam, Triple Whale)
  • Spreadsheets
  • In-house dashboards
  • Other (please specify)
Q06
Opinion Scale

In the last 90 days, how often were campaign briefs shared with all relevant stakeholders before launch?

Scale: 17
Min:NeverMax:Always
Q07
Long Text

Thinking about the last 90 days, what are the biggest gaps or pain points in measuring or attributing campaign impact?

Q08
Dropdown

What is your current seniority level?

  • Individual contributor
  • Manager
  • Director
  • VP or above
  • Prefer not to say
Q09
Message

Thank you for completing this survey. Your input will directly inform improvements to our campaign goals, attribution practices, and tooling in the coming quarter. Results will be shared in aggregate to protect individual confidentiality.

Q10
Multiple Choice

Which areas best describe your current role? Select all that apply.

  • Marketing/Brand
  • CRM/Email
  • Performance/Acquisition
  • Merchandising/Category
  • Product/UX
  • Data/Analytics
  • Engineering
  • Operations/Logistics
  • Customer Support
  • Finance
  • Other (please specify)
Q11
Opinion Scale

For your most recent campaign, goals were defined with specific, measurable KPIs before launch.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q12
Dropdown

Which primary attribution approach did you use most for your most recent campaign?

  • Last-click
  • First-click
  • Position-based (U-shaped)
  • Linear
  • Time decay
  • Data-driven model (platform-provided)
  • MMM/Media mix modeling
  • Incrementality testing (geo/A-B)
  • Don't know
Q13
Opinion Scale

In the last 90 days, how easy has it been for you to view cross-channel touchpoints for active campaigns?

Scale: 17
Min:Extremely difficultMax:Extremely easy
Q14
Opinion Scale

In the last 90 days, how often were campaign results reviewed collaboratively across teams?

Scale: 17
Min:NeverMax:Always
Q15
AI Interview

We'd like to explore your experience with campaign measurement in more depth. An AI moderator will ask a couple of follow-up questions.

Q16
Dropdown

What is your primary region?

  • North America
  • EMEA
  • APAC
  • LATAM
  • Other
  • Prefer not to say
Q17
Multiple Choice

Do you have decision-making responsibility for campaign budgets?

  • Yes
  • No
  • Shared responsibility
  • Not sure
Q18
Opinion Scale

For your most recent campaign, all stakeholders were aligned on the primary success metric before launch.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q19
Multiple Choice

How frequently does your team run incrementality tests or media mix modeling (MMM) for campaigns?

  • Ongoing/weekly
  • Monthly
  • Quarterly
  • Ad-hoc
  • Not currently
Q20
Opinion Scale

How would you rate the overall data quality for campaign reporting in the last 90 days?

Scale: 17
Min:Very poorMax:Excellent
Q21
Opinion Scale

In the last 90 days, how often were learnings from past campaigns applied to new campaign planning?

Scale: 17
Min:NeverMax:Always
Q22
Long Text

Based on your responses, what single change would most improve our campaign goals, attribution, or tooling next quarter?

Q23
Dropdown

How long have you worked at this company?

  • Less than 1 year
  • 1–2 years
  • 3–5 years
  • 6–10 years
  • More than 10 years
  • Prefer not to say
Q24
Dropdown

How many people do you typically collaborate with on campaigns?

  • 1–3
  • 4–7
  • 8–15
  • 16–30
  • 31+
  • Not sure
Q25
Opinion Scale

For your most recent campaign, a post-campaign review was conducted to assess goal attainment.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q26
Dropdown

Typically, how many business days do you need to get a reliable read on campaign performance?

  • Less than 1 day
  • 1–2 days
  • 3–5 days
  • 6–10 days
  • 11–20 days
  • More than 20 days
  • Not sure
Q27
Multiple Choice

Which goal types did your most recent campaign target? Select all that apply.

  • Revenue/Conversions
  • New customers
  • Customer acquisition cost (CAC)
  • ROAS
  • Average order value (AOV)
  • Retention/Repeat rate
  • Engagement (e.g., site visits, CTR)
  • Lead capture
  • App installs
  • Other (please specify)
Q28
Ranking

Please rank the following goal types in order of priority for your most recent campaign (most important first). Only rank those that applied.

  1. Revenue/Conversions
  2. New customers
  3. Customer acquisition cost (CAC)
  4. ROAS
  5. Average order value (AOV)
  6. Retention/Repeat rate
  7. Engagement (e.g., site visits, CTR)
  8. Lead capture
  9. App installs
Drag to rank

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.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • AI interviews adapt to each respondent's marketing stack and budget context, probing channel-specific recall and attribution nuances that static forms cannot capture
  • Privacy-First Marketing Readiness Audit is a unique template no competitor offers—preparing teams for cookieless measurement and data clean room adoption
  • Fully transparent AI methodology means marketing researchers can validate and replicate findings across teams and organizations

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Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.