Q01
Long Text
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MMM Readiness & Data Governance Assessment
Evaluates an organization's Marketing Mix Modeling maturity across data foundations, governance practices, validation methods, and resourcing. Designed for marketing, analytics, and media professionals involved in or planning MMM initiatives.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
26 questions · ~4 min
Q02
Multiple Choice
Are you currently involved in—or do you have visibility into—marketing analytics, media measurement, or budget planning at your organization?
Q03
Multiple Choice
Which best describes your organization's current stage with Marketing Mix Modeling (MMM)?
Q04
Multiple Choice
Which data sources does your organization currently use or plan to use for MMM? (Select all that apply.)
Q05
Long Text
Overall, how ready is your organization to leverage MMM for marketing decisions in the next 12 months?
Q06
Multiple Choice
Which governance practices are currently in place for your MMM-related data and models? (Select all that apply.)
Q07
Multiple Choice
What best describes your current or planned MMM approach?
Q08
Long Text
Based on your responses in this survey, what single change would most improve your organization's MMM effectiveness in the next 6–12 months?
Q09
Long Text
What is your primary role?
Q10
Long Text
Thank you for completing this survey. Your responses have been recorded and will be analyzed in aggregate to advance MMM best practices. If you have any questions, please contact the research team.
Q11
Multiple Choice
Which decision areas does your organization currently use—or plan to use—MMM to inform? (Select all that apply.)
Q12
Long Text
Approximately how many distinct data sources are integrated (or planned) in your MMM dataset?
Q13
Long Text
Rank the biggest inhibitors to effective MMM at your organization. (Drag to reorder; most limiting at top.)
Q14
Long Text
How confident are you that your MMM workflow complies with applicable privacy regulations and internal data policies?
Q15
Multiple Choice
Which validation methods do you use (or plan to use) to assess MMM reliability? (Select all that apply.)
Q16
AI Interview
Thank you for your survey responses. We'd like to explore a few of your answers in more depth. Please share your thoughts in the conversation below.
Q17
Long Text
How many years of experience do you have in marketing, analytics, or related fields?
Q18
Multiple Choice
Which integration challenges are most significant for your MMM data pipeline? (Select all that apply.)
Q19
Long Text
Approximately how many employees does your organization have?
Q20
Long Text
What is the typical refresh cadence of your MMM dataset?
Q21
Long Text
Which industry best describes your organization?
Q22
Long Text
How would you rate the completeness of the data available for your MMM (i.e., minimal missing values or gaps)?
Q23
Long Text
What is your organization's primary region of operation?
Q24
Long Text
How would you rate the consistency of your MMM data across sources (i.e., aligned definitions, taxonomies, and formats)?
Q25
Long Text
What is your level of influence on paid media budget decisions?
Q26
Long Text
How would you rate the timeliness of your MMM data (i.e., data is available when needed for modeling and decisions)?
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.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.