How to Measure Brand Awareness (and Preference) in B2B
Aided vs unaided awareness, the survey that measures it, sample sizes that hold up, where share of search fails in B2B, and the tools worth using.
Updated November 5, 2026
To measure brand awareness, survey a sample of buyers in your category (not your customers) and ask two questions in this order: "When you think of [category], which companies come to mind?" (unaided awareness), then "Which of these companies have you heard of?" (aided awareness). Run the same survey, with the same audience definition, once or twice a year, and use branded search, direct traffic and self-reported attribution as supporting signals in between, never as the main number.
That's the short answer. This guide is the B2B version, because most of what ranks for this topic was written for consumer brands: follower counts, Instagram likes, coffee shop examples. If you sell software to IT directors or CFOs, that won't help you.
And most B2B teams don't measure brand awareness at all. When we surveyed 100 marketing leaders at B2B SaaS companies with $50M+ in revenue, 52% didn't measure brand impact, 33% relied on share of search alone, and only 13% ran brand tracking surveys. Not one of the 100 felt confident in their brand data (the trust gap in brand measurement).
Brand awareness is the share of your target buyers who know your brand exists. There are two kinds, and in B2B they behave very differently.
Unaided awareness (also called spontaneous awareness or top-of-mind recall) is whether buyers name you without any prompt. Aided awareness (recognition) is whether they recognize your name when they see it on a list.
| Unaided awareness | Aided awareness | |
|---|---|---|
| Question | "When you think of [category], which companies come to mind?" (open text) | "Which of these companies have you heard of?" (list of names) |
| What it measures | Mental availability: do you come to mind when a need shows up | Recognition: do they know the name when someone else brings it up |
| How fast it moves | Slowly. Hardest to move, most valuable | Faster. Ads, events and PR lift it first |
Unaided is the one that matters most. B2B buyers rarely start from a blank page. In a Bain and Google survey of 1,208 people at US companies, 90% of buyers chose a vendor that was on their short list at the beginning of the sales process (Harvard Business Review, 2022). Not in their head when the project starts usually means not in the deal.
Timing makes it harder. John Dawes at the Ehrenberg-Bass Institute estimates that up to 95% of business buyers are not in the market for a given product at any one time, because companies change providers like their main bank or law firm about once every five years (Dawes, 2021). Awareness is how you reach them before they're in market, so they remember you when they are.
Aided awareness alone can fool you. In a Wynter brand tracking study of marketing automation platforms, challengers like Braze, ActiveCampaign and Customer.io had 55% to 70% aided awareness. But when asked which brands come to mind first, everyone outside HubSpot, Adobe Marketo and Pardot got 10% or single digits (full write-up). Recognized, not remembered.
Awareness is the top of a funnel. Measure the next steps too.
| Metric | Survey question | What it tells you |
|---|---|---|
| Unaided awareness | When you think of [category], which companies come to mind? | Who owns the category in buyers' heads |
| Aided awareness | Which of these companies have you heard of? | Your reach |
| Consideration | Which of these would you consider if you were buying [category] in the next 12 months? | Whether being known turns into being shortlisted |
| Brand preference | If you had to pick one today, which would it be? Why? | Who wins when buyers choose |
| Category association (optional) | When [buying situation] happens, which companies come to mind? | Whether you're linked to the moments that trigger a purchase |
Brand preference is the share of category buyers who would pick your brand over the alternatives if they were buying today. I know Ford exists. I'm not considering a Ford for my next car. That's the gap between awareness and preference, and in B2B it's where a lot of well-known brands quietly lose. (More on why it matters in how to win with brand preference.)
The ratios between the steps are more useful than any single number:
The full perception question set is in our brand perception survey guide, and brand health metrics and tracker design are on our brand health tracking page. This guide stays on awareness and preference.
There are four families of methods. Only one of them asks buyers directly.
| Method | What it measures | Main B2B limitation |
|---|---|---|
| Brand awareness survey | Unaided and aided awareness, consideration and preference among the people you choose | Needs a verified B2B audience. One wave is a snapshot, not a trend |
| Search demand (branded search, share of search) | How often people search your name vs competitors | Low volumes. Only counts people already looking |
| Traffic and attribution | Visits and leads that arrive already knowing you | Direct traffic is polluted. Form answers only come from people who converted |
| Mentions and AI visibility | How often you're talked about or recommended | Most B2B buyers never post. LLM answers vary from run to run |
The only method that measures awareness among people who aren't looking for you yet. How to run one is below.
Share of search is your brand's search volume divided by the total for all brands in your category. Les Binet presented it at the IPA's EffWorks Global conference in 2020: in cars, energy and mobile phones, share of search correlated with market share and moved ahead of it, by up to a year for cars (IPA, 2020). In B2B it breaks down in three places:
So use branded search as a trend line, not a score. Google added a branded queries filter to Search Console in November 2025 that splits branded from non-branded queries automatically, for top-level properties only (Search Engine Roundtable). If your brand name is a common word, expect inflated numbers.
Direct traffic isn't just "people who typed your URL." It also includes untagged email clicks, links opened from Slack, apps and documents, and returning visitors. Treat it as weak evidence. A required open-text "How did you hear about us?" field on demo and signup forms is better: it catches the podcast, the peer tip and the ChatGPT answer that analytics labels as direct. But it only hears from people who already converted.
Social listening in B2B mostly measures a vocal minority. AI visibility tools track how often LLMs name you for category prompts. Worth watching, but answers change with each run and phrasing, so track a fixed prompt set as a trend.
My take: watch the proxies to spot movement between waves, and run the survey once or twice a year to find out what's true. When they disagree, believe the survey. It's the only one that asked buyers.
1. Survey category buyers, not customers. Customers already know you, so including them inflates every number. Recruit people who buy, use or influence purchases in your category, matched to your ICP by title, seniority, company size and industry. Ask what they use today so you can separate your users from the rest of the market. See B2B research panels for where respondents come from.
2. Survey the people who build the shortlist. In most categories that's directors. VPs and C-level people often join at the final 3. For developer tools, it can be managers and engineers. Surveying only executives costs more and misses the people who decide who gets considered (more in B2B buyer personas).
3. Ask unaided first, then show names. Once respondents see your name, unaided answers are contaminated. Order: unaided, aided, consideration, preference, then why.
4. Choose the competitor list carefully. 5 to 8 brands plus yours, in random order, including the big platform with a "good enough" module. When coding unaided answers, count misspellings, product names and old brand names. A competitive analysis helps you pick the set.
5. Add a fake brand. Put one made-up company in the aided list. The share who claim to know it is your overclaiming baseline. Read small aided numbers against it.
6. Keep it short. 5 to 8 questions covers awareness and preference.
7. Freeze the method. Same questions, audience definition, sample size and time of year. Change one and wave two can't be compared with wave one.
Consumer trackers use 1,000+ respondents because their population is everyone. If you sell to HR leaders at SaaS companies with 50 to 500 employees, that's a narrow, fairly similar group, sometimes only a few thousand companies. 100 well-targeted respondents give you a representative read. 1,000 random people don't. See why 100 people is enough for B2B market research.
What each sample size can detect at 95% confidence:
| Respondents per wave | Margin of error on one number | Change needed between two waves (metric near 20%) | Change needed between two waves (metric near 50%) |
|---|---|---|---|
| 50 | ±14 points | about 16 points | about 20 points |
| 100 | ±10 points | about 11 points | about 14 points |
| 200 | ±7 points | about 8 points | about 10 points |
| 400 | ±5 points | about 6 points | about 7 points |
A single wave of 100 tells you where you stand within about ±10 points: plenty to see that a competitor at 45% unaided awareness is far ahead of you at 12%. Comparing waves needs a bigger move than most people expect. With 100 per wave, unaided awareness going from 12% to 17% is within noise. Going from 12% to 25% is real. To detect smaller changes, use 200 per wave, or look for the same direction across several waves and several metrics.
Watch your base, too. If 15% of 100 respondents know you, every follow-up question about your brand rests on 15 people.
These numbers assume random sampling, which no B2B panel delivers perfectly. Treat them as a guide, and keep the respondent source the same between waves so any bias is at least consistent.
There's no universal good brand awareness percentage. 20% unaided is excellent in a category with 40 vendors and weak in one with 3. Compare yourself to competitors in the same survey, and to your last wave.
| Pattern | What it usually means | What to do |
|---|---|---|
| High aided, low unaided | Known but not top of mind | Show up consistently where buyers are, and tie your brand to specific buying situations |
| High awareness, low consideration | Perception or positioning problem | Find out why with a brand perception survey or message test before spending more on reach |
| Low awareness across the board | Reach problem, or too early for a tracker | Fix positioning first, then invest in reach |
| Strong in one segment, weak in others | Your brand lives in one corner of the market | Put budget into the weak segments and measure them separately next wave |
Read the open-text "why" answers, and look for stale memories: buyers often remember you as what you were three years ago. Only split by segment when each segment has enough people. 100 respondents split four ways gives four rough reads, not four trackers.
Once or twice a year. Which one depends on how big your brand is and how much you invest in it.
| Your situation | Cadence |
|---|---|
| Under about $20M in revenue | Probably too early for a tracker. Most of the market won't know you yet and the numbers will sit near zero. Do positioning research and message testing first |
| $20M to $100M in revenue | Once a year |
| $100M+ in revenue, or real money behind brand campaigns | Twice a year, 6 months apart |
| Rebrand, merger or category change | A baseline before, and a wave 6 to 12 months after |
Brand moves slowly, and a 100-person wave can't detect small shifts anyway. Measuring more often mostly buys noise. Run waves at the same time each year so seasonality doesn't distort the comparison.
The point of brand tracking isn't a snapshot. It's the trend line you can put next to brand spend when your CFO asks whether it's working. See how to prove brand marketing ROI to your CFO.
Maxio was formed from the merger of Chargify and SaaSOptics. A few years after the rebrand, Andrea Wunderlich, Head of Product Marketing, needed to know how well their ICP (founders and CFOs at SaaS companies) knew the new brand, how it compared with competitors and the legacy brands, and where to put the marketing budget.
Research agencies quoted $100,000 on the low end and $240,000 on the high end for a single study. Maxio ran it on Wynter for a little over $10,000, with results in under 48 hours. They measured aided and unaided awareness by segment, then ran a second wave after changing strategy.
What they found:
On a sample this size, a 5% move alone wouldn't prove much, and that wasn't where the value was. The value was knowing where awareness was weak. Maxio used the data to justify a board-level increase in brand spend while temporarily cutting conversion-focused campaigns, and to rebuild its ICP scoring, segmentation, messaging and ads. Full story: Maxio case study.
| Tool | Good for | Watch out for |
|---|---|---|
| Wynter (86,000+ identity-verified B2B professionals) | Unaided and aided awareness, consideration and preference among your ICP, results in 12 to 48 hours | Strongest in tech audiences. Not for consumer brands |
| SurveyMonkey, Typeform, Qualtrics | Building the questionnaire | You bring respondents. Your own list means surveying customers |
| Google Search Console | Branded clicks and impressions with the branded queries filter | Top-level properties only |
| Google Trends | Free share of search vs competitors | Low-volume terms show as 0 |
| Ahrefs, Semrush | Estimated branded search volume for you and competitors | Small volumes are rough estimates |
| GA4 plus a form field | Direct traffic trend and "how did you hear about us?" | Only covers people who reached you |
| Social listening (Sprout Social, Brandwatch) | Mentions and share of voice | Most B2B buyers don't post |
| AI visibility trackers (such as Ahrefs Brand Radar) | How often LLMs name you for category prompts | Answers vary by run and wording |
For a comparison of full brand tracking providers, see our guide to B2B brand tracking tools. For original buyer data you can benchmark against, browse Wynter's research studies.
How do you measure brand awareness? Survey buyers in your category, not customers. Ask unaided awareness first, then aided awareness, and repeat once or twice a year.
What is the difference between aided and unaided brand awareness? Unaided is whether buyers name you without a prompt. Aided is whether they recognize you on a list. Unaided matters more.
What are the main brand awareness metrics? Unaided awareness, aided awareness, consideration and brand preference, supported by branded search and self-reported attribution.
How many respondents do you need for a brand awareness survey? 100 well-targeted B2B respondents gives a margin of error of about ±10 points. Use 200 or more per wave to detect smaller changes or compare segments.
Is share of search a good measure of brand awareness in B2B? Only as a supporting trend. B2B volumes are often too small, and many buyers now find vendors through peers and LLMs.
How do you measure brand preference? Ask category buyers which brand they would pick if buying today, and why. Preference is the share who pick you.
How often should you measure brand awareness? Once or twice a year, depending on how big your brand is and how much you invest in brand.
What tools can you use to measure brand awareness? A B2B survey platform such as Wynter, plus Google Search Console, Google Trends, Ahrefs or Semrush for branded search, and GA4 with a how-did-you-hear field.
Brand perception survey · Brand health tracking · B2B brand tracking tools · Competitive analysis template · B2B buyer personas · Voice of the customer for B2B
Want these numbers for your own brand? Wynter's B2B brand tracking surveys 100+ verified buyers in your ICP on unaided and aided awareness, consideration and preference against the competitors you pick, with results in under 48 hours per wave.
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