How to Find the Exact Words Your Customers Use

There's a gap between how you describe your product and how your customers actually talk about it. You probably call it something like "a science-backed sleep solution." They call it "the thing that finally stopped me from waking up at 3am." Neither is wrong. But only one of those phrases would make someone stop scrolling.

This isn't a copywriting trick. It's a research problem. The brands that write copy that converts aren't necessarily better writers. They've just spent more time reading what their customers actually say, in places where nobody's performing for a brand survey.

Here's how to do that.

Why the Language Gap Costs You More Than You Think

Most DTC brands write copy from the inside out. You know your product deeply, so you describe it with the vocabulary you've built up over months of working on it. That vocabulary is accurate. It's also often invisible to the person you're trying to reach.

A peer-reviewed study from March 2022 found that a low lexical-semantic gap between product descriptions and customer reviews correlates directly with higher customer satisfaction (arXiv / University Research, 2022). When the words you use match the words your customers use, people trust you more and buy more.

The clearest example of this comes from Joanna Wiebe at CopyHackers. She was working with a rehab center and mined more than 500 Amazon reviews of addiction recovery books. One phrase kept showing up: "If you think you need rehab, you do." She pulled it directly and used it as the headline. It generated more than 400% more CTA clicks and over 20% more form submissions than the control headline (CopyHackers, 2014).

The winning headline wasn't clever. It wasn't polished. It was just what real people said when they were scared and looking for a way out.

Where Customers Actually Use Their Real Words

People don't talk the same way in a survey as they do in a Reddit thread at 11pm. That's not cynicism. It's just how it works. The most useful customer language exists in places where no one's asking for feedback, where people are just trying to solve a problem or share an experience.

After reading hundreds of Reddit threads and review sections for DTC categories, the pattern is consistent. The most specific, most useful phrases almost always appear in 3-star and 4-star reviews, not the 5-star ones. Enthusiastic reviewers write in superlatives. The middle-ground reviewers write in specifics.

Amazon reviews are the most accessible starting point, even if you don't sell on Amazon. Search for competitor products or any product solving the same problem yours does. You're not doing competitive analysis. You're doing vocabulary research.

Reddit threads are where customers speak without any audience in mind. Users added "Reddit" to Google searches more than 32 billion times in 2023 alone (Reddit Inc., cited in Social Media Today, 2024). People go there specifically to get real answers from real people. 71% of Reddit users rank it as the top platform for finding immediate answers to specific questions (Reddit CES 2025 Research, n=7,000, 2025).

YouTube comment sections are underrated. Most people watch the video. Almost nobody reads the comments. But that's where someone writes "I've been using this for 6 weeks and my skin finally stopped doing the thing where it flakes right after I moisturize." That's a product description you couldn't invent.

App store and G2/Trustpilot reviews matter most for software and subscription products. Same principle as Amazon. The 3-star reviews are where people get specific about what's missing.

How to Do It: A 5-Step Process

This doesn't require special tools. It requires attention and a place to save things.

Step 1: Start with Amazon reviews for your category

Search for competitor products or products solving the same problem. Don't start with the 5-stars or the 1-stars. Read the 3-star and 4-star reviews first. They're more specific because the person writing them is still processing something. They liked it enough to keep it but noticed enough to mention what didn't work. Copy exact phrases into a document. Word for word.

Step 2: Read Reddit threads, not just search results

Search your product category on Reddit. Don't search for your brand. Look for "what's the best X for Y" threads and "I've been using X for 3 months" update posts. The language in these threads is what your customers use when no one's watching and nothing's at stake. It's also what they'll type into Google when they're trying to find you.

Step 3: Watch YouTube review comment sections

Find YouTube reviews of your product or a direct competitor. Ignore the video. Scroll down and read the comments. People ask questions, share frustrations, and describe their results in very specific language. One good comment section can give you 20 usable phrases. This is free research.

Step 4: Look at app store and G2/Trustpilot reviews

If you're in software or subscriptions, this is your Amazon equivalent. The logic is identical. Read the middle-ground reviews. Look for the sentences where someone describes the specific thing that bothered them or the specific thing that made it click.

Step 5: Build a swipe file of exact phrases

Don't paraphrase. Don't clean it up. Copy the exact words. The goal is to collect the vocabulary your customers actually use, not a polished version you'd feel comfortable presenting in a deck. The rougher the phrase, often the more useful it is. A swipe file of 50 real phrases is worth more than any brand voice guide you could write.

What to Do With What You Find

Most brands collect customer language and then immediately translate it into brand voice. That's the mistake. The whole point is to preserve the original vocabulary, not absorb it into your existing way of talking.

Once you have a swipe file, the applications are straightforward. Use exact customer phrases in ad headlines. Mirror their words in product descriptions. Use the specific problems they name as the opening line of an email subject. Use their vocabulary in FAQ pages and landing page subheads.

Diane Wiredu at Wynter found that clients incorporating VoC data into copy have seen up to 70% increases in qualified leads (Wynter, 2023). That's not because their writing got better. It's because the gap between brand language and customer language got smaller.

Of course, not every phrase you find is usable. Some of it is too niche, too angry, or too specific to one person's situation. Your job is to look for phrases that appear in multiple places, from multiple people, describing the same experience. Repetition is the signal.

Besides that, the research process itself is useful beyond just copy. When you read 200 reviews and 50 Reddit threads, you start to understand what your customers actually care about. That shapes product decisions, positioning, even how you think about pricing.

FAQ

Do I need a budget or special tools to do this?

No. Everything described here is free. Amazon, Reddit, YouTube comments, and app stores are all publicly accessible. The process takes time and attention, not software. If you want to move faster, tools can help organize and surface patterns. But the raw material is all out there for free.

How many reviews do I need to read before I have enough?

A reasonable starting point is 50 to 100 reviews across two or three sources. You'll start to notice repetition fairly quickly, usually within the first 30 to 40. When the same phrases keep appearing, you've found signal. 93% of consumers have made a purchase after reading reviews (BrightLocal, 2026), which means there's no shortage of material in most categories.

Can I do this for a product that's pre-launch?

Yes. Search for the closest competitor or the closest category, not your specific product. You're researching the problem your product solves, not the product itself. A supplement brand can read reviews of any supplement in their category. A skincare brand can look at any competitor solving the same skin concern. The customer language around the problem is what you're after.

A Closing Thought

47% of social media users cite "irrelevant search terms" as the most frustrating part of product research (Reddit CES 2025 Research, 2025). That frustration exists because the words brands use and the words customers use are often just slightly off from each other. Close enough to rank, too far off to connect.

The brands that close that gap tend to do it the same way: by reading more than they write, by treating customer language as the source material rather than the feedback, and by being willing to put someone else's words on their homepage.

It's a small shift in approach. The results tend not to be small.

Sources

1. Wiebe, Joanna. (2014). How to Write Copy Using Amazon Reviews. CopyHackers. Link — Retrieved May 2026.
2. Wiredu, Diane. (2023). VoC Data and Qualified Leads. Wynter. Link — Retrieved May 2026.
3. University Research. (March 2022). Semantics between customers and providers: product descriptions, reviews, and satisfaction. arXiv. Link — Retrieved May 2026.
4. Nielsen. (2021). Beyond Martech: Building Trust with Consumers. Trust in Advertising Study (n=40,000+). Link — Retrieved May 2026.
5. BrightLocal. (2026). Local Consumer Review Survey. Link — Retrieved May 2026.
6. Reddit Inc. (2024). Trust, Recommendations, and the Next Era of Influence. Cited in: Social Media Today, February 2024. Link — Retrieved May 2026.
7. Reddit CES 2025 Research. (2025). Social Media's Shifting Purchase Journey (n=7,000). Via pressclone.com. Link — Retrieved May 2026.