Voice of Customer research: what it actually takes to build messaging that converts

If you’ve been around for a while, you’ve heard me talk about the importance of deeply knowing and understanding your audience, and using real customer insights to define your marketing message.

New around here? I build messaging foundations using research, not vibes. Today, it’s all about Voice of Customer (VoC) language.

Why your messaging is a trust problem, not a visibility problem

It’s now news that it’s more important, and harder, than ever to earn trust. People are skeptical and sales cycles are getting longer. 

It’s not a visibility problem. It’s a trust problem. (And most brands are trying to solve it the wrong way–with more content.)

Not only do you need to be seen, you need to be remembered. And the best way to do that is through messaging that’s so clear and resonant that you make it obvious why your best-fit clients would choose to work with you over all the possible options they’re considering.

Even word of mouth needs the right language. Because once someone says, “You should talk to them,” the next question is still:

Why?

Referrals don’t close deals; language does.

If your foundation can answer that clearly—in your buyer’s words, grounded in their real decision-making—your growth becomes more durable.

What Voice of Customer language is (and why it works psychologically)

And while this all sounds great in theory, you’re probably wondering how to collect VoC data and what to do with it once you have it. We’ll dig into that today and I’ll walk you through the exact processes I use when working with clients.

But first, let’s geek out on the psychology a bit.

Let’s start with the basics. VoC language is the exact words your clients use to describe their pain points, their wants and needs, their emotions. 

The mirror effect

When you reflect their words back to them in your marketing, you trigger the mirror effect—they instantly feel seen and understood. And validating what someone is feeling is one of the quickest ways you can begin to earn trust.

How VoC reduces cognitive load

Another key reason it works is because it reduces their cognitive load. They’re not trying to decipher what you’re saying and there’s no room for interpretation. The language sounds familiar and more relevant. And there’s loads of research to back up the idea that the easier it is for us to understand something, the easier it is for us to believe it too.

Now let’s talk about how this actually works in practice.

Where real buyer language lives

Beyond testimonials: pre-decision language

Testimonials are polished hindsight, and while there’s gold to be found, I care more about pre-decision language.

The real language tends to show up earlier, before the transformation is polished and summarized. At the point of a testimonial, your clients are clear on the value you provide. But that’s not what triggered them to buy in the first place.

The channels worth mining

The real language tends to live here:

• Discovery call transcripts
• Sales conversations
• Onboarding calls where clients are explaining what they hope will change
• Offboarding calls where they’re reflecting on what actually did
• Email threads
• Slack messages
• DMs
• Website inquiries
• Comments on posts your ideal clients share

If language exists, it’s useful and you should grab it.

How to collect VoC data without overcomplicating it

There isn’t one perfect tool for collecting it. I could hand you templates and tech stacks and automation workflows, but ultimately the system only works if you’ll use it.

The most important rule is simple: capture it when you see it. Don’t trust yourself to remember the phrasing. You won’t.

I keep a folder labeled “Screenshots” on my computer. I have an album with the same name on my phone. If something stands out, grab it immediately and drop it there.

At minimum, keep things organized by type: calls in one place, testimonials in another, sales notes somewhere else… You don’t need a complex database to start, you need a habit.

Not all customer language is worth using

Why you should filter by your best buyers

This is where I see brands making huge mistakes.

If we’re defining positioning, I’m not interested in what everyone thinks. I care what your best buyers decided, and why. Interest doesn’t fund your growth but decisions do.

The difference between applause and conversion

You don’t want language from the client from three years ago when the offer was different, or the one who was “fine” but you wouldn’t necessarily be excited to work with again.

You want the ones you would duplicate.

Because the psychology of your best-fit buyer today is what your messaging needs to reflect tomorrow.

If your pricing has changed, if your positioning has matured, if your ambition has expanded, the risk calculation has shifted too. There’s a difference between someone saying, “This is helpful” and a signed contract. One is applause and the other? Conviction.

So when I’m defining messaging, I filter aggressively. Buyers at your current price point and aligned with your direction.

That filtration step sounds simple. It’s not.

This is the part where you might have to face assumptions you didn’t realize you’d been making.

Surface-level VoC feels productive, but positioning requires synthesis–and synthesis requires restraint.

How to organize VoC data using the Jobs to be Done framework

The six things to look for in every transcript

When I start organizing, I sort by decision psychology, using a Jobs to Be Done (JTBD) lens. Jobs to Be Done reveals the inflection point, the moment the cost of staying the same outweighed the cost of change. And it’s almost never the reason they said (or thought it was). 

When a problem compounds over time, there’s an inflection point. There’s a specific moment that makes the pain something they have to deal with. That’s the moment you’re trying to uncover.

For every transcript or screenshot, I look to see:

• how they describe the problem
• what goal they’re trying to achieve
• what they’ve already tried
• what almost stopped theme
• what felt risky
• what transformation they experienced after

Sometimes I literally print transcripts and highlight them in different colors. Yep, it’s old school, but your brain catches patterns differently when you’re physically moving through language.

When to use AI, and when to override it

After, I run transcripts through AI and flag things by JTBD categories. It often surfaces angles I didn’t initially notice.

But it never catches everything I do so I then override it.

It doesn’t feel tension the way a human brain does. It doesn’t sense hesitation or clock subtle repetition the same way.

So I use both. Manual first, AI second, then back to human judgement.

How customer interviews deepen your research

The questions that uncover real buyer psychology

If my client has access to recent best-fit customers, I interview them. 

And I’m not asking what they liked. I’m asking what was happening right before they reached out, what they had already tried, what almost stopped them, what felt risky about saying yes, and what made this the moment.

Then I listen for the point where something shifted, where the friction of staying the same outweighed the comfort of avoiding change.

Why VoC research is harder than it looks

On paper, this process looks straightforward: collect, filter, synthesize, then translate.

In practice, it’s layered.

You’re close to your own work. You have language you like, offers you’re attached to, and assumptions about your audience. And the data doesn’t always validate them.

Voice of Customer research isn’t technically difficult. It’s psychologically uncomfortable. Because it forces you to confront what buyers actually value, not what you hoped they would.

That’s the difference between messaging that sounds fine and messaging that holds when you raise prices, expand your reach, or try to scale beyond referrals.

What comes next: turning VoC data into copy that converts

Next week, I’ll show you how to take all of this organized Voice of Customer data and actually translate it into messaging. How to turn those patterns into website copy, email sequences, and sales pages that convert.

If someone forwarded this to you and you’re not subscribed, click here so you don’t miss it.

But first, you have to do the work I just laid out. Because without clean, strategic Voice of Customer research? You’re not refining your messaging; you’re gambling with it.

Most businesses collect language, but very few build foundations from it. And foundations determine how far you can scale.

Want to see where Voice of Customer language could increase trust in your messaging?

Send me a DM on LinkedIn and paste one thing:
– a homepage headline
– a LinkedIn post
– a sales page section

I’ll tell you where buyer language could make it stronger.

Until next time,

Stacy