How to understand what customers really think about your brand with brand perception research
·11 min read
Brand perception research is the process of finding out how customers actually experience, describe, and evaluate your brand. It helps you move beyond assumptions, measure brand image more accurately, and understand the gap between what your company wants to stand for and how customers see your brand in the real world.
Too many teams rely on internal opinions, campaign metrics, or a few anecdotal comments. That can be subject to confirmation bias and create a false sense of confidence. If you want a clearer view of customer brand perception, you need research that captures both what people say and why they say it.
Short on time? Jump straight to the specific section:
Brand perception research is a research approach used to understand how customers, prospects, or target segments view a brand. It looks at the associations, emotions, beliefs, and expectations people attach to a company, product, or service.
In practical terms, it helps answer questions like:
What words, experiences, or emotions do people associate with our brand?
What do customers believe we do well or poorly?
How are we different from competitors in their minds and why does it matter?
A useful way to think about it is this: brand perception research does not just tell you whether people know your brand. It helps you understand what that awareness actually means in customers’ minds.
That distinction matters. A brand can be well known and still poorly understood, inconsistently positioned, or associated with the wrong value.
For companies like GroupSolver, the goal is the opposite: to ensure the brand is clearly understood, consistently positioned, and aligned with how customers think and decide. That’s why GroupSolver’s approach focuses on uncovering the “why” behind customer responses — combining qualitative depth with quantitative validation
to reveal not just what people say, but what truly drives their perception.
Wondering what your customers actually say about your brand?
Brand perception shapes decisions long before a purchase journey begins. It influences how customers react when they see your brand pop up in their first AI search when they begin their consideration of new purchase. Are they happy to see your name? Do they want to know more — or will they ignore you?
Here are three reasons your brand perception matters.
1. It reveals the gap between brand strategy and market reality
Many companies have a polished internal brand story. Customers may have a very different one.
For example, a brand may invest heavily in innovation messaging, but customers may primarily see it as expensive, confusing, or hard to work with. Without research, that disconnect can go unnoticed for months or years.
2. It helps you measure brand image beyond vanity metrics
Traffic, impressions, and engagement can show visibility. They do not fully explain perception.
If you want to measure brand image, you need evidence about associations, emotions, trust, differentiation, and relevance. That is where structured open-ended feedback, segment comparisons, and brand equity research
become more useful than surface-level dashboards.
3. It improves decision-making across teams
Brand perception research is not just for marketing. It can inform:
That broader view is increasingly important as consumer expectations keep shifting. McKinsey’s recent consumer research notes
that customer behavior, value perceptions, and trust signals continue to evolve across major markets, making ongoing customer understanding more important than one-time brand tracking.
How to do brand perception research
A strong brand perception research program should combine structure with curiosity. You need enough rigor to compare results over time, but enough openness to hear things you were not expecting.
1. Start with the decisions you need to make
Do not begin with a generic survey — your brand is unique and you probably have some unique hypotheses you want to test.
Start with the business question at hand:
Are you trying to understand declining loyalty?
Do you want to reposition the brand?
Are you testing a new message or campaign?
Do you need to compare your brand against competitors?
Are you trying to understand different customer segments?
This step matters because the best research designs are decision-led, not template-led.
2. Define the perception dimensions you want to measure
Most teams try to measure everything and end up learning very little. Choose a focused set of dimensions based on the hypotheses you have formed and which you need to validate:
Awareness: do people know your brand? If you are struggling with the top of your sales funnel, it may be good to know if your potential customers know your brand exists.
Associations: what ideas or traits come to mind? Maybe awareness is not an issue, but would-be customers are skipping your brand without giving it a fair show. What comes to mind when they think about your brand — emotions, thoughts, experiences — are important to understand before a new brand campaign is put in place.
Differentiation: what makes you distinct? You probably have some very good customers who buy you for a reason. Does the differentiation resonate beyond the core of your regular buyer?
Trust and credibility: do customers believe you deliver? Trust is the most precious currency any brand can acquire. Do customers believe that you will deliver every time, that you will be there for them when an issue arises?
Relevance: what makes your brand useful or worth considering? Understanding that quality may become the centre of your next brand refresh.
Emotional response: how does the brand make people feel? Customers may think they make a rational decision with each purchase, but research shows that it is often our reptilian brain that rules our wallets. Do customers form an emotional attachment that makes them reach for their credit card?
This is where brand equity research becomes especially valuable, because it connects perception to long-term brand value rather than short-term campaign reaction. GroupSolver’s brand perception
and brand equity studies frame this work around understanding recognition, segment differences, and perceived value.
3. Use open-ended questions, not just rating scales
This is one of the biggest missed opportunities in brand research.
Rating scales can tell you what score a brand gets. They are much weaker at explaining why customers gave that score. Open-ended questions reveal language, nuance, and unexpected themes.
Examples include:
What is the first thing that comes to mind when you think of our brand?
How would you describe our brand to a colleague or friend?
What makes this brand feel different from others in the category?
What frustrates you about this brand, if anything?
What type of customer is this brand best suited for?
This is often where real insight appears. People may describe your brand as “reliable but old-fashioned,” “premium but not worth the price,” or “innovative but hard to understand.” Those combinations are far more useful than a single average score.
4. Combine qualitative depth with quantitative validation
A common mistake is treating qualitative and quantitative research as separate worlds. The better approach is to use both:
Qualitative inputs uncover themes, emotions, and language — those are the drivers for the quantitative measurements
Quantitative measurement shows how widespread those perceptions are — these form the KPIs worth watching over time
Segment analysis reveals where perceptions differ by audience type
Trend tracking shows whether your brand image is improving or slipping
That combined model is especially effective when you want to understand not just how customers see your brand, but which perceptions actually influence purchase, loyalty, or advocacy.
5. Compare customer segments, not just overall averages
Average results can hide the most important story. For example:
Prospects may see your brand as confusing
Current customers may see it as dependable
Younger buyers may view it as outdated
Enterprise buyers may view it as trustworthy
If you only look at the total average, you miss the strategic opportunity. Segment-level research is often where the clearest positioning insights emerge.
6. Analyze both sentiment and meaning
Consumer sentiment
analysis is useful, but sentiment alone is not enough.
A positive or negative label does not tell you what people are reacting to. To truly understand how customers see your brand, you need to connect emotion to themes such as trust, service, innovation, price, quality, or relevance.
That is why text analysis, theme clustering, and open-ended response evaluation can add so much value. They help you identify not just tone, but the drivers of that tone.
7. Turn findings into action
Research only matters if it changes something. Once you have results, translate them into action across teams:
Refine brand messaging
Clarify positioning
Improve onboarding or service experience
Adjust campaign claims
Update product or packaging language
Prioritize perception issues by business impact
A useful internal question is: which perceptions are simply interesting, and which ones are actively shaping behavior? That is where research becomes strategic rather than descriptive.
Common mistakes to avoid
Treating awareness as proof of brand strength
Being known is not the same as being chosen. High awareness can coexist with weak trust, low relevance, or poor differentiation. How to avoid it: pair awareness metrics with deeper questions about associations, value, and preference.
Asking leading or focusing solely on closed-ended questions
If every question reflects your internal assumptions, customers can only confirm or reject your categories. You miss emerging themes and real customer language. How to avoid it: include open-ended questions early in the survey before exposing respondents to branded claims or fixed answer choices.
Looking at averages without segment detail
Overall scores often smooth out meaningful differences. You may optimize for the wrong audience or miss a perception problem in a key segment. How to avoid it: break results out by customer type, lifecycle stage, usage pattern, and relevant demographics.
Confusing social listening with full brand perception research
Social data can be useful, but it is incomplete. It tends to overrepresent vocal groups and specific channels. How to avoid it: use social inputs as one source, then validate with structured survey-based research.
Avoiding these mistakes but still missing insights?
Brand perception research helps you understand how customers actually think and feel about your brand
It is essential when you want to measure brand image more accurately than awareness or engagement metrics allow
The most useful studies combine open-ended feedback, quantitative validation, and segment-level analysis
Customer brand perception is often shaped by trust, relevance, differentiation, and emotional response, not just visibility
Consumer sentiment analysis is helpful, but it becomes much more actionable when paired with theme-based interpretation
Strong brand equity research
connects perception to long-term business value and better strategic decisions
FAQ
Brand awareness research measures whether people know your brand exists. Brand perception research goes further by showing what they believe about it, how they describe it, and how those perceptions influence trust, consideration, and loyalty. Awareness tells you if you are known. Perception tells you what that familiarity means.
To measure brand image, combine rating-scale questions with open-ended responses, sentiment signals, and segment analysis. Look at traits such as trust, differentiation, value, relevance, and emotional association. The goal is not just to produce a score, but to understand the drivers behind that score.
Brand equity research helps marketers understand the perceived value of a brand in the minds of customers. That matters because brand value affects preference, pricing power, loyalty, and resilience. It also helps teams identify whether their positioning is creating a meaningful advantage or just visibility without depth.
Companies should run brand perception research before a repositioning, after a major campaign, during periods of customer churn, ahead of a product launch, or whenever leadership is making high-stakes messaging or experience decisions. It is also valuable as an ongoing tracker when markets and customer expectations are changing quickly.
No. Consumer sentiment analysis can show whether responses are broadly positive, negative, or neutral, but it does not fully explain the beliefs and associations behind those reactions. It works best as part of a broader brand perception research program, not as a standalone substitute.
Ready to understand how customers really see your brand?
If you want to know what customers really think about your brand, you need more than internal opinions and campaign metrics. Brand perception research gives you a clearer, more actionable view of customer beliefs, emotions, and expectations so you can close the gap between brand intention and customer reality. For teams that want to go deeper than surface-level survey data, GroupSolver’s approach
is especially relevant: combining quantitative structure with open-ended insight to uncover the “why” behind customer feedback and brand perception. Explore GroupSolver’s brand perception and research solutions to turn customer understanding into smarter brand decisions.
