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.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
26
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to the MMM Readiness & Data Governance Assessment.
This survey explores your organization's current Marketing Mix Modeling capabilities, data infrastructure, and governance practices. Your responses will help identify strengths, gaps, and opportunities to improve MMM effectiveness.
• Participation is voluntary and you may stop at any time.
• There are no right or wrong answers—we are interested in your honest perspective.
• All responses are confidential and will be reported in aggregate only.
• Estimated time: 7–9 minutes.
Please proceed to begin.
Q2
Multiple Choice
Are you currently involved in—or do you have visibility into—marketing analytics, media measurement, or budget planning at your organization?
Yes
No
Q3
Multiple Choice
Which best describes your organization's current stage with Marketing Mix Modeling (MMM)?
Actively running MMM
Ran MMM in the last 12 months
Piloting or prototyping MMM
Planning to start within 12 months
Not planning MMM
Q4
Multiple Choice
Which decision areas does your organization currently use—or plan to use—MMM to inform? (Select all that apply.)
Budget allocation across channels
Media mix within a channel
Campaign flighting and timing
Geographic allocation
Creative and messaging strategy
Pricing and promotions
Scenario planning and forecasting
Q5
Multiple Choice
Which data sources does your organization currently use or plan to use for MMM? (Select all that apply.)
Paid media spend and impressions by channel
Search data (paid and organic)
Social platform data
Website and app analytics
CRM and marketing automation engagement
Sales data by product or region
Pricing and promotions
Distribution and availability
Brand tracking
Competitor spend estimates
Economic, weather, or other external factors
Experiment and lift test results
Q6
Dropdown
Approximately how many distinct data sources are integrated (or planned) in your MMM dataset?
1–3
4–7
8–12
13–20
More than 20
Not sure
Q7
Multiple Choice
Which integration challenges are most significant for your MMM data pipeline? (Select all that apply.)
Inconsistent IDs or keys across sources
Missing or incomplete historical data
Different time grains (daily, weekly, monthly)
Taxonomy and naming differences
Data silos and access constraints
Data latency or delayed availability
Vendor definition changes over time
Legal or privacy restrictions
None of the above
Q8
Dropdown
What is the typical refresh cadence of your MMM dataset?
Near real-time
Daily
Weekly
Monthly
Quarterly
Ad hoc or as needed
Not yet established
Q9
Opinion Scale
How would you rate the completeness of the data available for your MMM (i.e., minimal missing values or gaps)?
Range: 1 – 7
Min: Very incompleteMid: NeutralMax: Very complete
Q10
Opinion Scale
How would you rate the consistency of your MMM data across sources (i.e., aligned definitions, taxonomies, and formats)?
Range: 1 – 7
Min: Very inconsistentMid: NeutralMax: Very consistent
Q11
Opinion Scale
How would you rate the timeliness of your MMM data (i.e., data is available when needed for modeling and decisions)?
Range: 1 – 7
Min: Rarely timelyMid: NeutralMax: Always timely
Q12
Opinion Scale
Overall, how ready is your organization to leverage MMM for marketing decisions in the next 12 months?
Range: 1 – 7
Min: Not at all readyMid: NeutralMax: Fully ready
Q13
Ranking
Rank the biggest inhibitors to effective MMM at your organization. (Drag to reorder; most limiting at top.)
Drag to order (top = most important)
Data quality and coverage
Analytics talent and ownership
Budget constraints
Stakeholder buy-in
Fragmented martech and data stack
Time and bandwidth
Q14
Multiple Choice
Which governance practices are currently in place for your MMM-related data and models? (Select all that apply.)
Documented data dictionary or definitions
Data catalog or lineage tracking
Named data owner or steward
SLA for data refresh and issue resolution
Formal QA or validation checklist
Access controls and role-based permissions
Change log or versioning for datasets and models
Model governance committee or review board
Documented data retention policy
None of the above
Q15
Opinion Scale
How confident are you that your MMM workflow complies with applicable privacy regulations and internal data policies?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q16
Multiple Choice
What best describes your current or planned MMM approach?
In-house team
External vendor or consultancy
Hybrid (in-house plus partner)
Automated cloud service
Open-source stack built internally
Not sure or still evaluating
Q17
Multiple Choice
Which validation methods do you use (or plan to use) to assess MMM reliability? (Select all that apply.)
Time-based cross-validation (rolling origin)
Holdout or out-of-time testing
Alignment with experiments or incrementality tests
Back-testing on historical shocks
External benchmarks or market events sanity check
Business stakeholder review
None of the above
Q18
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?
Max chars
Q19
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q20
Dropdown
What is your primary role?
Marketing leader
Growth or performance marketer
Media and activation
Data science or analytics
Finance or revenue operations
Product or CRM
Consultant or agency
Other
Prefer not to say
Q21
Dropdown
How many years of experience do you have in marketing, analytics, or related fields?
Less than 1
1–3
4–6
7–10
11–15
16+
Prefer not to say
Q22
Dropdown
Approximately how many employees does your organization have?
1–49
50–249
250–999
1,000–4,999
5,000+
Prefer not to say
Q23
Dropdown
Which industry best describes your organization?
Retail or ecommerce
Consumer packaged goods (CPG)
Technology or software
Financial services
Media or entertainment
Healthcare or pharma
Travel or hospitality
Automotive
Other
Prefer not to say
Q24
Dropdown
What is your organization's primary region of operation?
North America
Latin America
Europe
Middle East & Africa
Asia-Pacific
Global
Prefer not to say
Q25
Dropdown
What is your level of influence on paid media budget decisions?
Final decision maker
Recommender or approver
Contributor or analyst
No direct role
Prefer not to say
Q26
Chat Message
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.
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