Measuring brand health in competitive markets: awareness, perception, and purchase intent

In a crowded market, knowing your brand is strong is not enough. You need to know exactly where you stand relative to everyone else, and why.

In a competitive market, brand health isn’t one number. It’s a relationship between three connected metrics: how many people know you, what they think of you, and whether that thinking translates into a willingness to buy. Teams that track only one of these tend to misread what’s actually happening and pull the wrong lever when things stall.

This guide covers how to measure all three together, how to design survey questions that produce reliable data, and how to read the results to find where your real growth opportunities are hiding.

The three metrics and how they connect

Awareness, perception, and purchase intent form a progression. A customer has to know you before they can form a view, and they have to hold a positive view before they’re likely to buy. But the relationship isn’t always linear, and the gaps between stages are where competitive intelligence lives.

Awareness
Do people know your brand exists? Can they recall it without prompting when they think about your category?

Perception
What do people associate with your brand? How do those associations compare to competitors in the same category?

Purchase intent
Given everything they know and feel, how likely are people to choose you over the alternatives?

Each metric can move independently, and that’s exactly what makes tracking all three valuable. A brand can have high awareness and low intent, which usually signals a perception problem. It can have strong intent among existing customers but low awareness overall, which points to a reach problem. The pattern tells you where to focus.

The three levels of brand awareness

Not all awareness is equal. Understanding which level you’re operating at helps you set realistic goals and choose the right things to measure.

Name awareness: People know your brand exists and can recall or recognise the name.

Product awareness: People understand what you sell and what problem it solves.

Attribute awareness: People associate specific qualities or values with your brand.

Most marketing activity builds the first level. Fewer teams consistently work on the third, which is where durable competitive advantage tends to live. A brand that people associate with a specific quality, whether that’s reliability, innovation, or value, is harder to displace than one people simply recognise.

Why you need a baseline before you spend

Many marketing teams launch campaigns without knowing their starting point. They invest in awareness-building activity, see some results, and have no reliable way to attribute the change to specific efforts. Over time, this makes it difficult to justify budget and nearly impossible to optimise spend.

Running a brand health survey before any major campaign gives you a benchmark. Run it again afterwards, and you have evidence. The gap between the two scores tells you how much the campaign moved the needle, with which audiences, and through which associations.

This matters particularly in competitive markets. Your scores don’t exist in isolation. They exist relative to competitors who are also spending. Tracking your position in the category over time is the only way to know whether you’re gaining ground or losing it.

Designing questions that give you useful data

Survey design is where most brand research goes wrong. Poorly worded questions produce data that confirms what teams already believe rather than revealing what’s actually true. Here’s how to build each section of a brand health survey with that risk in mind.

Awareness questions

Always start with unprompted questions before introducing any brand names. This is the most important rule in awareness research. The moment a respondent sees your brand name, their answers about whether they know it are compromised.

Ask this first, before any brand names appear anywhere in the survey. Brands mentioned here have genuine top-of-mind awareness.

This measures recognition. Include competitors you want to benchmark against. The gap between your prompted and unprompted scores is revealing.

Perception questions

Good perception questions ask respondents to rate multiple brands on the same attributes. This is what makes benchmarking possible. If you only ask about your own brand, you get a score with no context.

Ask this for your brand and two or three competitors. The attributes where you score higher than competitors are your owned territory. The ones where you score lower reveal gaps.

Closed ratings tell you how people score your brand on attributes you defined. Open questions reveal the associations you didn’t think to ask about.

Purchase intent questions

Intent questions close the loop between brand feelings and commercial behaviour. They’re most useful when asked in a competitive context rather than in isolation.

This is more predictive than asking “how likely are you to buy from us?” because it forces the trade-off that happens in real purchase decisions.

When someone rules you out, this tells you whether it’s an awareness issue, a perception issue, or something else entirely.

A few design rules that apply across all sections

Mix closed and open questions. Closed questions give you comparable scores across time. Open questions reveal the why behind the numbers, and often surface things you wouldn’t have thought to ask about directly.

Avoid branded framing: don’t ask “how well do you know us?” Instead, ask about the category and introduce your brand alongside competitors as equal options. And always include demographic questions, or use demographic filters in your analysis tool.

Overall scores can mask sharp variation between segments, and treating different audiences as one group leads to broadly targeted responses when focused effort would work better.

Benchmarking against competitors

In a competitive market, your scores only mean something relative to the alternatives. A brand awareness score of 40% looks very different in a category where the market leader scores 45% versus one where they score 85%.

When you include competitors in every section of your survey, you build a map of the category. You can see not just where you stand, but which attributes each brand owns, where there’s crowding, and where there’s white space. An attribute that no brand in your category scores highly on is an opportunity. If you can credibly own it, it becomes a differentiator.

Pay particular attention to the gap between your awareness score and your intent score compared to competitors. If a rival has lower awareness than you but higher purchase intent, they’ve built stronger perceptual associations with the thing that drives decisions. That’s a more urgent problem than a simple awareness gap.

Interpreting results: what the patterns mean

Raw scores matter less than the relationships between them. Here are the most common patterns and what they signal.

Awareness gap

Perception gap

Conversion gap

Segment your results by demographic before drawing conclusions. A pattern that looks flat at the top line often reveals sharp variation underneath. One audience segment may have strong awareness and intent while another barely knows you exist. Treating them as one group would lead to the wrong response.

Making brand measurement a habit

A single survey is a point in time. It tells you where you are. What it can’t tell you is whether you’re improving, plateauing, or slipping. For that, you need to run the same survey repeatedly, with a consistent methodology, at regular intervals.

  1. Set a regular cadence: Quarterly or bi-annual tracking surveys create a trend line you can actually use for planning and budget decisions.
  2. Measure around key moments: Survey before and after major campaigns, product launches, or PR moments to isolate their impact on each metric.
  3. Keep core questions consistent: Changing questions between waves makes comparisons unreliable. Lock in the core set and add topical questions around them.
  4. Watch competitor scores as closely as your own: Your scores can drop without you changing anything, if a competitor improves sharply. Tracking the full competitive set tells you whether a shift is about you or the category.
  5. Connect brand metrics to commercial outcomes: When awareness scores rise ahead of a sales uplift, you build the evidence for brand investment that finance teams need to see.

Spotting growth opportunities in the data

The most actionable part of any brand health study is finding where the gap between your current position and a reachable position is smallest. These are the places where a targeted effort is most likely to produce a measurable result.

Look for segments with high category awareness but low awareness of your brand specifically. These are people who are already engaged with what you sell but haven’t encountered you yet. They’re cheaper to convert than people who need educating on the category first.

Look for attributes where your scores are strong but nobody in the category owns the space clearly. If you’re the highest scorer on, say, transparency, but even your score is only moderate, there’s room to invest in that territory before a competitor claims it.

Look for intent scores that are disproportionately high among a particular segment relative to your overall awareness with them. That’s a signal that your brand resonates strongly when people do encounter it. The constraint is reach, not relevance, and that’s usually a more tractable problem to solve.

It requires asking the right questions, including the right competitors, and running the exercise often enough that you can see what’s moving. That discipline, sustained over time, is what separates brands that grow intentionally from those that grow by accident.

Liam Leahy Customer Research Manager
Liam’s background was previously on the client experience side; he’s now spent three years on the Customer Research Team. His key motivator is seeing our clients take valuable insights from their results, seeing the impact that feedback will have.
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