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Marketer Trust in Identity Resolution & Graph Accuracy

Measures marketing professionals' confidence in identity resolution accuracy, validation practices, and vendor evaluation criteria. Designed for B2B research targeting practitioners and decision-makers responsible for customer identity strategy.

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Template Overview

30

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

Q1
Chat Message
Welcome! This survey (approximately 6–8 minutes) explores how marketing professionals evaluate identity resolution and identity graph accuracy. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential and will be reported in aggregate only for research purposes.
Q2
Multiple Choice
Which of the following best describes your current marketing role?
  • Brand / Content marketing
  • Performance / Demand generation
  • CRM / Lifecycle / Retention
  • Product marketing
  • Growth / Acquisition
  • Media / Advertising
  • Marketing operations
  • Marketing analytics / Insights
  • Other (please specify)
Q3
Multiple Choice
Does your organization currently use identity resolution or a customer identity graph?
  • Yes, in production
  • Piloting / testing
  • No, but considering
  • No, not considering
  • Not sure
Q4
Multiple Choice
Which of the following solutions support identity resolution at your organization? (Select all that apply)
  • Customer Data Platform (CDP)
  • Master Data Management (MDM)
  • Marketing cloud suite
  • Advertising ID graph (ad-tech)
  • Homegrown / custom solution
  • Data clean room
  • CRM / DMP
  • Other (please specify)
Q5
Multiple Choice
To the best of your knowledge, approximately what percentage of your resolved identities were correct in the past 6 months?
  • Below 50%
  • 50–69%
  • 70–79%
  • 80–89%
  • 90–95%
  • 96–100%
  • Don't know
Q6
Multiple Choice
What are the main reasons your organization is not currently using identity resolution? (Select all that apply)
  • Insufficient budget
  • Privacy / compliance risk
  • Data quality / coverage concerns
  • Integration complexity
  • Lack of internal expertise
  • Unclear ROI or business case
  • Vendor credibility / trust
  • Stakeholder misalignment
  • We do not need it
  • Competing priorities
  • Other (please specify)
Q7
Opinion Scale
How confident are you in the overall accuracy of your organization's identity resolution?
Range: 1 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q8
Multiple Choice
What minimum match accuracy would you require before deploying identity resolution in production?
  • Below 70%
  • 70–79%
  • 80–89%
  • 90–95%
  • 96–99%
  • 100% (only exact matches)
  • Don't know / haven't defined a threshold
Q9
Opinion Scale
In the past 12 months, how problematic has each of the following been for your identity resolution efforts? Duplicate or fragmented customer profiles
Range: 1 5
Min: Not at all problematicMid: NeutralMax: Extremely problematic
Q10
Opinion Scale
In the past 12 months, how problematic has each of the following been for your identity resolution efforts? Incorrect cross-device or cross-channel matching
Range: 1 5
Min: Not at all problematicMid: NeutralMax: Extremely problematic
Q11
Opinion Scale
In the past 12 months, how problematic has each of the following been for your identity resolution efforts? Stale or outdated identity graph data
Range: 1 5
Min: Not at all problematicMid: NeutralMax: Extremely problematic
Q12
Opinion Scale
In the past 12 months, how problematic has each of the following been for your identity resolution efforts? Privacy or compliance violations related to identity data
Range: 1 5
Min: Not at all problematicMid: NeutralMax: Extremely problematic
Q13
Opinion Scale
In the past 12 months, how problematic has each of the following been for your identity resolution efforts? Lack of transparency into how matches are made
Range: 1 5
Min: Not at all problematicMid: NeutralMax: Extremely problematic
Q14
Multiple Choice
Which of the following methods has your organization used in the past 12 months to validate identity resolution accuracy? (Select all that apply)
  • Holdout / ground-truth testing
  • Manual review / spot checks
  • Independent third-party audit
  • Match against deterministic keys (e.g., login / email)
  • Incrementality / lift experiments
  • Vendor-provided accuracy proof
  • Customer service feedback / returns
  • Production monitoring alerts
  • None of the above
Q15
Ranking
Please rank the following factors from most to least important when evaluating trust in identity resolution.
Drag to order (top = most important)
  1. Underlying data quality and coverage
  2. Deterministic vs. probabilistic matching method
  3. Recency and freshness of the graph
  4. Transparency and documentation
  5. Independent third-party validation
  6. Privacy compliance and controls
  7. Ongoing monitoring and SLAs
Q16
Opinion Scale
How important is each of the following when selecting an identity graph provider? Match accuracy and precision
Range: 1 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q17
Opinion Scale
How important is each of the following when selecting an identity graph provider? Scale and coverage of identity data
Range: 1 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q18
Opinion Scale
How important is each of the following when selecting an identity graph provider? Ease of integration with existing tech stack
Range: 1 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q19
Opinion Scale
How important is each of the following when selecting an identity graph provider? Privacy compliance certifications and controls
Range: 1 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q20
Opinion Scale
How important is each of the following when selecting an identity graph provider? Transparency into matching methodology
Range: 1 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q21
Opinion Scale
How important is each of the following when selecting an identity graph provider? Ongoing accuracy monitoring and SLAs
Range: 1 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q22
Opinion Scale
How likely is your organization to evaluate or expand its identity resolution capabilities in the next 12 months?
Range: 1 7
Min: Not at all likelyMid: NeutralMax: Extremely likely
Q23
Long Text
Based on your responses in this survey, what would most increase your trust in identity graphs and match accuracy?
Max chars
Q24
AI Interview
We'd like to explore your experiences with identity resolution in a bit more depth. An AI moderator will ask you a couple of follow-up questions.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q25
Multiple Choice
What is your current seniority level?
  • Individual contributor
  • Manager
  • Director
  • VP / Senior Director
  • C-level / Head of Marketing
  • Consultant / Agency
  • Other (please specify)
Q26
Dropdown
How many years of experience do you have in marketing?
  • Less than 2 years
  • 2–5 years
  • 6–10 years
  • 11–15 years
  • 16–20 years
  • More than 20 years
Q27
Multiple Choice
Approximately how many employees are in your company?
  • 1–49
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000+
Q28
Multiple Choice
Which industry best describes your organization?
  • Retail / Ecommerce
  • Financial services
  • Technology / SaaS
  • Media / Entertainment
  • Healthcare / Pharma
  • Travel / Hospitality
  • Telecom
  • Consumer packaged goods
  • Automotive
  • Other (please specify)
Q29
Multiple Choice
In which region are you primarily located?
  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East / Africa
Q30
Chat Message
Thank you for completing this survey! Your insights will help advance transparency and accuracy in identity resolution. If you have any questions about this research, please contact the research team.

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