Can you use Voice of Customer to inform our company positioning and identify competitors' weaknesses?

Yes. Voice of Customer data is one of the most underused sources of competitive and positioning intelligence. When analyzed systematically, it tells you exactly how customers describe their problems, where competitors are falling short, and which pain points remain unsolved across your category. Most companies use VoC to improve the product. The smarter move is to also use it to sharpen how you tell your story.

Here's how to do both.

What Does "Informing Positioning with VoC" Actually Mean?

Positioning is the story your company tells about why it exists and who it's for. Most positioning gets developed in a conference room, built on what the founders believe and what competitors are saying. That's the wrong foundation.

Effective positioning starts with customer language — the phrases customers reach for when describing their problem, the frustration they express when current tools fall short, the outcome they're actually trying to achieve. Voice of Customer data (support tickets, NPS responses, win/loss interviews, churn surveys, sales call transcripts, review sites) captures all of this at scale.

The companies that mine it for positioning intelligence have a structural advantage over the ones that rely on assumption.

How to Use VoC Data to Sharpen Your Positioning

Step 1: Collect feedback across the full customer journey.

Don't limit yourself to one channel. Positioning insights come from support tickets (what problems are customers describing in their own words?), win/loss interviews (why did customers choose you over alternatives?), churn surveys (what unmet need drove them away?), G2 and Capterra reviews (what do customers say publicly about you and competitors?), and NPS verbatims (what do promoters love that you're not saying loudly enough?).

The most valuable signal often lives in the language customers use before they've learned your vocabulary.

Step 2: Extract the language, not just the theme.

When customers describe a problem, note the exact words they use. If 40 customers describe their current solution as "too slow to give us answers," that phrase is more valuable than any focus group output. It captures both the problem ("too slow") and the expectation ("give us answers") in language customers actually reach for.

Look for recurring phrases, emotion words, and outcome statements. These become your positioning vocabulary.

Step 3: Map customer language to your current positioning.

For each recurring phrase, ask: are we saying this? Should we be? Does our website, sales deck, and messaging reflect this exact pain? Build a simple mapping table:

Customer LanguageCurrent PositioningGap?"We can't connect feedback to revenue""Centralized feedback management"Yes — translate to outcome"Takes weeks to see patterns""Real-time analytics"Partial — make the speed concrete"Every team interprets feedback differently""Single source of truth"Aligned — amplify this

This exercise usually surfaces three to five positioning improvements that immediately sharpen conversion.

How VoC Reveals Competitors' Weaknesses

Your customers aren't just using you. Many came from competitors. Some evaluate alternatives every renewal cycle. Their feedback is full of competitive intelligence — if you know where to look.

Where to Find Competitor Intelligence in VoC Data

Churn surveys and win/loss interviews are the most direct source. Ask explicitly: what solution did you use before this? What frustrated you most about it? What made you switch?

Support tickets often contain comparison language: "In [competitor], this was easier" or "We switched because of X, but we're seeing the same issue here." These are signal worth tracking.

Third-party review sites (G2, Capterra, TrustRadius) are a public VoC database for your competitors. Read the one- and two-star reviews for every competitor in your category. What do customers consistently complain about? That's a weakness you can own.

NPS promoter verbatims often include unsolicited comparisons: "Much better than [competitor] because..." This language is pre-validated and ready to inform your positioning.

Three Things to Look For

When analyzing competitor mentions across your VoC data, focus on three patterns:

Pain patterns. What problems do customers consistently report switching away from? If customers repeatedly mention that a competitor's reporting is hard to understand, that's a positioning angle you can take and hold.

Unmet promises. What did customers expect from a competitor that they didn't receive? This reveals where the competitor's own positioning is misleading or aspirational — and where customers arrive hungry for something better.

Category gaps. What problem is nobody solving well? If customers across multiple competitors describe the same frustration, there's a category-level opening. The company that addresses it and names it first tends to win the positioning conversation.

Turning Competitor Intelligence Into Positioning Moves

Once you've synthesized the patterns, three moves follow naturally.

Differentiate directly. If a competitor is consistently criticized for slow setup, make time-to-first-insight a core pillar and quantify it.

Expand the category. If customers are frustrated that tools treat feedback as a reporting function rather than an action trigger, reframe what the category should look like. Name what good looks like before competitors can.

Absorb the language. When customers who left a competitor describe what they were missing, use that exact language in your content, ads, and sales scripts. You're speaking directly to a moment of frustration your prospect has already experienced.

The Most Common Mistake

Teams collect VoC data but analyze it only for product decisions. Positioning and marketing teams rarely see the raw feedback. As a result, positioning gets built from competitive websites and analyst reports: secondhand sources that tell you what competitors are saying about themselves, not what customers actually experience.

The fix is structural: bring VoC data into your positioning reviews. Run quarterly sessions where product, marketing, and sales review the top feedback themes and ask what they mean for how you're describing yourselves. The answers are usually in the data. Most teams just never look.

What Good Looks Like

A team using VoC systematically for positioning can answer these questions with data, not opinion:

• What exact phrases do our best customers use to describe the problem we solve?
• What did customers say they were missing before they found us?
• What do customers say publicly about our competitors that those competitors aren't acknowledging?
• What language resonates with new prospects who don't know our vocabulary yet?

If you can answer all four, your positioning has a feedback loop. It's no longer a guess — it's a living document grounded in what customers are actually saying, updated as the market moves.

How Enterpret Helps

Manually synthesizing VoC data across support tickets, reviews, sales calls, and NPS verbatims is a full-time job. Enterpret's Customer Intelligence platform automatically unifies feedback from every source, categorizes it against an adaptive taxonomy that learns your business language, and surfaces the patterns that matter — including the competitor comparisons and unmet expectations that most teams miss entirely.

If you're doing positioning work and want to know what customers are actually saying, Enterpret turns weeks of analysis into hours.

Talk to us about building a VoC-driven positioning strategy.

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