Use this Brand Affinity Survey Template to understand how strongly people identify with your brand and why. It is most useful for brand, marketing, and insights teams deciding which message themes to scale, refine, or retire.
This template focuses on emotional connection, not just feature opinions. If you need direct product prioritization, pair it with a consumer preference survey template.
When to run brand affinity research
Run this survey:
- before and after a campaign repositioning
- during category expansion
- when competitor narratives start changing audience perception
Avoid using it as a one-time snapshot. Trend data is where affinity insights become actionable.
Measurement framework for brand affinity tracking
Structure the survey in three layers:
- Relationship context: how people know your brand
- Affinity indicators: trust, relevance, identification, recommendation intent
- Drivers and barriers: what increases or weakens connection
Use consistent 5- or 7-point scales across waves. Add one open-ended question asking what your brand stands for in respondents’ own words.
Cohort design and wave governance
Distribute by audience cohort: current customers, former customers, and aware prospects. Track source and campaign exposure with hidden variables, and use multilingual surveys if you compare regions.
Affinity index model and decision thresholds
Look for movement by segment, not just overall averages:
- where affinity is high but conversion is low (message-to-offer gap)
- where awareness is high but affinity is weak (trust/relevance issue)
- which attributes correlate with stronger recommendation intent
Turn findings into an action plan across creative messaging, channel mix, and customer experience touchpoints.
Use a simple weighted index for consistent reporting across waves:
- Trust (30%)
- Personal relevance (30%)
- Differentiation vs alternatives (20%)
- Recommendation intent (20%)
Interpret score bands with action triggers:
- 75+ strong affinity: scale message themes and protect winning touchpoints.
- 60-74 unstable affinity: diagnose segment gaps before increasing spend.
- Below 60 weak affinity: revisit positioning clarity, proof points, and onboarding experience.
Interpretation mistakes that distort brand decisions
- Treating affinity as a substitute for purchase behavior
- Mixing different scales across waves
- Comparing segments without normalizing audience composition
- Skipping qualitative comments that explain score changes
Supporting templates for full-funnel diagnosis
Use the competitor research survey template to test narrative pressure, the consumer preference survey template to connect sentiment with choice drivers, and the customer satisfaction survey template to validate whether affinity is backed by real experience quality.
Implementation resources and reporting stack
Start with create survey, numerical scale questions, and save responses to Google Sheets. For strategy context, read voice of customer guide and employer branding examples.
Run repeated affinity waves in Responsly
Responsly helps you run repeated affinity waves with consistent structure, segmentation, and reporting so brand decisions are based on signal, not assumptions.