Learn how to increase brand awareness with a practical, full-funnel playbook. Go from audit to AI-powered testing with actionable tactics for B2B & B2C.
Most advice on how to increase brand awareness starts too late. It jumps straight to ads, posting schedules, influencer lists, and “be consistent” reminders. That's backwards.
Awareness doesn't break because teams forgot to publish enough. It breaks because the market can't quickly answer three basic questions: who you're for, why you matter, and why anyone should trust you. If those answers are fuzzy, more reach just spreads confusion faster.
At Sprints & Sneakers, we treat awareness as a full-funnel system, not a top-of-funnel vanity project. The work starts with positioning, moves through channel fit and creative, and ends with a tight measurement loop that tells you what to scale, what to kill, and what to test next. That approach matters even more in high-consideration categories, where trust is the bottleneck and generic awareness tactics fall flat.
Brand awareness usually breaks before media spend does. We see it all the time. Teams increase budget, launch new creative, add channels, and still struggle to lift recall because the brand shows up as six different companies depending on where someone finds it.
A growth-ready audit fixes that early. It gives you a working view of what buyers absorb across ads, pages, emails, sales calls, and social touchpoints. That matters because awareness is not a top-of-funnel vanity exercise. It is a memory-building system, and memory only compounds when the cues stay consistent.
Run the audit against real customer-facing assets, not brand intent documents. Pull homepage copy, product pages, paid ads, onboarding emails, founder posts, decks, and sales collateral into one file. Then review them as if you were a cold prospect giving the brand ten minutes.
Use six checks.
Core values Look for repeated claims and category filler. If every asset says some version of “quality,” “trusted,” or “customer-first,” the brand is describing itself in terms any competitor can copy.
Target audience
Define audience segments by buying trigger and pain pattern, not just title, company size, or age band. A VP replacing a failed vendor needs different proof than a first-time buyer building a shortlist. If both audiences get the same message, recall weakens because the problem framing never feels specific.
Unique selling proposition
Remove the logo from a page or ad and read the copy on its own. If the claim could belong to three close competitors, the positioning is still sitting inside the category instead of creating separation.
Brand voice and tone
Compare five recent assets from different channels. We look for tension here. The usual problem is not bad writing. It is a mismatch between polished website copy, casual social content, and sales language that overpromises.
Visual identity
Review logo treatment, color use, typography, image style, ad frames, thumbnails, and document templates. Inconsistent visual cues make each impression work harder than it should, especially in crowded feeds where recognition happens in a split second.
Competitive analysis
Capture competitor homepages, ad creative, review-site copy, and social bios. Then mark the phrases, layouts, proof points, and visual patterns that repeat across the competitive set. This shows where your market has become interchangeable and where a sharper angle can stand out.
One rule keeps this exercise honest. Audit what the buyer sees, not what the internal team believes it has communicated.
The output should be operational. If the audit ends as a slide deck nobody uses, the work was incomplete.
Condense the findings into a one-page brief with five fields:
We use this brief as the control document for creative reviews, paid testing, landing page updates, and sales enablement. It keeps awareness work from drifting as more people touch the brand. If you need a structured way to turn audit findings into operating standards, Sprints & Sneakers' brand strategy process shows how teams formalize positioning, messaging, and execution rules in one system.
There is a trade-off here. Tight standards improve recognition, but too much rigidity can flatten creative. The fix is not looser branding. The fix is setting a few cues that stay fixed, then giving channel teams room to adapt format, hooks, and proof for the context.
That balance is what makes the audit growth-ready. It gives the brand enough consistency to build memory and enough flexibility to support testing across the funnel.
A lot of awareness budgets disappear into channels that “make sense on paper” but don't match buyer behavior. The audience might be on LinkedIn, but that doesn't mean they're there to discover vendors. They may form opinions in niche Slack groups, industry newsletters, product review threads, YouTube explainers, or private WhatsApp circles.
The job is to find the places where people borrow trust from others.
Demographics help with targeting. They rarely explain attention.
What matters more is buying context. What was happening right before the person looked for a solution? Were they fixing a broken workflow, replacing a vendor, trying to impress a boss, lowering risk, or solving a time drain at home? Those moments point you toward the right channels.
Use this quick channel mapping exercise:
This is why video and social usually matter somewhere in the plan. Salesgenie's brand awareness statistics roundup reports that 72% of consumers prefer to learn about products via video content, and a Sprout Social study cited there found 89% of marketers successfully increased brand exposure through social media.
That doesn't mean “post more clips.” It means match format to buyer state.
Buyers don't reward presence alone. They reward relevance in the moment they're trying to make sense of a problem.
A B2B SaaS team selling to operations leaders usually shouldn't start by spraying thought leadership everywhere. Better bets are product-adjacent communities, category comparison content, founder or operator-led LinkedIn posts, guest spots on niche podcasts, and retargeted paid social that repeats the same problem framing. The unwritten rule in those channels is simple: teach, diagnose, and show your reasoning. Don't posture.
A D2C brand has a different listening map. People may discover the category on short-form video, validate quality in creator reviews and comment sections, compare options through search, then get nudged back by remarketing. In that environment, lifestyle framing often beats feature dumping because it helps buyers picture the product in their life.
A useful way to rank channels is the Bullseye Framework breakdown from Sprints & Sneakers. It's practical for trimming a long channel wish list into the few environments that deserve real testing.
One caution: don't mistake audience size for channel fit. A big podcast with a loose audience can underperform a tiny newsletter read by the exact operators, buyers, or enthusiasts you want. We've seen this repeatedly. Precision beats prestige when you're still building memory.
Most awareness creative fails for one reason. It describes the product instead of dramatizing the problem.
Buyers don't stop scrolling because you added features. They stop when they feel accurately understood, or when your framing gives them a cleaner way to explain their problem to themselves.
A useful messaging spine has four parts:
Compare the difference.
Feature-led message:
“Our platform centralizes campaign reporting, automates workflows, and improves team visibility.”
Story-led message:
“Your team isn't slow because they lack ideas. They're slow because performance data lives in five places and nobody trusts the same numbers. We bring reporting, workflow, and decision logic into one place so teams stop debating dashboards and start acting.”
The second version gives people something to recognize. It names the tension. It raises the cost of inaction. Then it presents the product as a resolution.
Message check: If your ad could be swapped with a competitor's logo and still sound normal, it won't build recall.
Strong awareness comes from variation around a stable core. Teams get into trouble when they either repeat one exact ad until it burns out or reinvent the brand every week.
A better system includes:
For example, a cybersecurity SaaS company might keep one core promise around reducing operational risk, but rotate angles around audit stress, vendor sprawl, slow approvals, and lack of visibility. Same brand. Different entry points.
If you're tightening this system across ads, landing pages, and paid creative reviews, Sprints & Sneakers' performance creative work is one example of how teams operationalize messaging into repeatable asset production rather than one-off campaigns.
The easiest way to improve messaging tomorrow is to rewrite your current headline with one rule: start with the buyer's tension, not your product category.
Awareness grows faster when organic and paid channels reinforce the same memory. Organic builds credibility and depth. Paid increases repetition and reach. One without the other usually slows learning.
Branding by Garden's expert guide to brand awareness says that content distribution strategies using multiple channels with paid promotion can increase branded search volume by 40 to 60% and improve share of voice by 25 to 35% within 6 to 12 months.
Organic awareness works when the content earns attention on its own. That means useful, specific, and channel-native.
Paid awareness should be built for memory, not just for clicks.
Don't choose tactics because they're popular. Choose them based on your biggest growth constraint.
If nobody knows you, prioritize broad-reach and high-frequency plays. If people know you but don't trust you, invest in proof-heavy content, partnerships, and creator validation. If traffic arrives but disappears, the bottleneck may be message-to-page mismatch, not awareness.
That's where the AARRR lens helps. Awareness is rarely the only issue. It's often the first visible symptom of a deeper funnel mismatch.
Awareness measurement breaks down when teams treat exposure, recall, and intent as the same thing. They are not. We measure them in order, because each signal answers a different question. Did the market have a chance to see you. Did people remember you later. Did that memory change behavior.
Start with reach and impressions. These are distribution metrics. They tell you whether the campaign had enough delivery to matter, and whether frequency is high enough for recall to become plausible.
Next, check branded search volume in Google Search Console. This is one of the cleanest directional signals that people saw your message, retained the brand name, and came back later with intent. We watch this closely after launches, creator campaigns, podcast sponsorships, and any creative built around brand-first hooks.
Then review direct traffic. It is noisy, and every experienced marketer knows attribution can misclassify visits, but trendlines still help. If direct traffic rises alongside branded search and stable site demand, awareness is usually improving. If direct traffic rises with no lift in branded search or engaged sessions, the traffic mix may be messy rather than meaningful.
Fourth, run brand recall surveys on a consistent schedule. Use the same audience definition, the same wording, and the same fielding method each wave. Include one aided question and one unaided question. The point is not perfect precision. The point is to see whether recall is moving in the right direction while your media and creative strategy changes.
Set the baseline before launch. Without it, every reporting meeting turns into debate instead of analysis.
A reporting cadence that works in practice:
Teams also need a way to connect top-of-funnel activity to pipeline without forcing every conversion into a last-click story. Our guide to multi-touch attribution modeling for awareness and pipeline analysis covers the setup in more detail.
| Metric | What It Measures | How to Track |
|---|---|---|
| Impressions and reach | How many people had a chance to see the brand | Ad platforms, social platform analytics, publisher reports |
| Branded search volume | Whether more people actively look for your brand by name | Google Search Console queries containing your brand name |
| Direct traffic | Whether more people navigate to you without a clear referral path | Web analytics, segmented by landing page and trend over time |
| Aided awareness | Whether people recognize your brand when prompted | Survey asking respondents which brands they know from a list |
| Unaided awareness | Whether people can recall your brand without help | Survey asking respondents to name brands in your category |
| Share of voice | How often your brand appears in the category conversation | Social listening, manual competitor tracking, SEO visibility tools |
| Engagement quality | Whether people interact in ways that suggest attention, not passive exposure | Video completion, saves, shares, comments, time on page |
One practical rule improves measurement fast. Set a time-bound target tied to a specific awareness signal. “Increase branded search among our target category terms over the next quarter” is far more useful than “improve awareness.” Clear targets make creative reviews sharper, budget shifts easier to justify, and post-campaign analysis much less subjective.
Most “how to increase brand awareness” advice still assumes one campaign, one concept, and a long wait before learning. That's too slow, especially for high-consideration products where trust is the primary barrier.
Qualtrics' article on increasing brand awareness points out a major gap in common advice: most content doesn't address how to build awareness from zero when the product is high-risk or high-consideration and trust is the primary barrier. That's exactly where a structured testing loop matters.
The workflow is simple:
Hypothesize
State what you believe will improve awareness and why. Example: operator-led video hooks will outperform product-led static ads because the audience trusts lived experience more than polished claims.
Design experiment
Define audience, channel, message angle, creative format, holdout logic if possible, and success signals. Keep the variable count low enough to learn something useful.
Execute test
Launch small but clean. Don't bundle five changes into one test and call the outcome insight.
Analyze results
Look at leading indicators first. Which hook earned more watch time, saves, comments, branded search lift, or return visits? Then review qualitative feedback.
Learn and optimize
Turn the result into an operating rule. Not just “Ad B won,” but “compliance audiences respond to risk framing before efficiency framing.”
Here's a useful video on that broader mindset before you build your own loop:
Take a LinkedIn awareness campaign for a B2B SaaS product. The team has one core message but no confidence in the best angle. Instead of debating opinions for a week, use AI as a working partner.
Ask it to generate:
Then a human marketer performs the essential work. They kill weak outputs, sharpen the good ones, line them up against positioning, and choose a few clean tests.
A practical prompt might be:
“Using these five customer interview notes, write eight LinkedIn ad hooks for a compliance software brand. Focus on the emotional cost of audit uncertainty. Avoid generic SaaS language. Keep each hook under two lines.”
AI also helps after launch. Feed it survey responses, comment threads, and call notes. Ask it to cluster objections, identify repeated language from buyers, and compare that language to your ad copy. That closes the loop faster than manual review alone.
The important part is discipline. AI speeds volume and analysis. It doesn't replace judgment, taste, channel knowledge, or brand standards.
If your team wants a structured way to build awareness without wasting spend on disconnected tactics, Sprints & Sneakers helps B2B and B2C brands run AI-powered, full-funnel growth programs built around testing, measurement, and the bottleneck that's holding performance back.
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