Voice of Customer Research for Copywriters: What It Is and How to Start
You sit down to write a landing page. You know the product. You know the features. You know who you are writing for. But when you start typing, the words that come out sound like every other landing page on the internet. "Save time." "Boost productivity." "All-in-one solution."
The problem is not your writing skills. The problem is that you are guessing at how your audience talks about their problems. Voice-of-customer research fixes that.
What Voice-of-Customer Research Actually Is
Voice-of-customer (VoC) research is the practice of collecting the exact words, phrases, and expressions your target audience uses when they talk about their problems, desires, and experiences. It is not about demographics or market segments. It is about language.
When a project manager says "I spend half my day chasing people for status updates," that is voice-of-customer data. When a freelancer writes "I feel like I am drowning in admin work and never doing the thing I actually got hired to do," that is voice-of-customer data. When a new parent posts "I just want five minutes where I don't have to make a decision about anything," that is voice-of-customer data.
The goal is simple: collect enough of this language that you stop writing from assumptions and start writing from evidence.
Why Traditional Research Falls Short
Most copywriters do some form of research before writing. They read the client's website. They review competitor copy. They might even send a survey to existing customers. All of this helps, but it has a blind spot.
Surveys produce filtered language. When someone knows they are being observed, they clean up their answers. They use proper grammar. They pick socially acceptable responses. A survey might tell you a customer is "somewhat dissatisfied with the onboarding process." That same customer, posting anonymously on Reddit, writes "the onboarding was so confusing I almost cancelled on day two."
Interviews trigger performance mode. Even in casual one-on-one conversations, people tend to present a polished version of their experience. They downplay frustrations. They use the interviewer's vocabulary instead of their own. The result is language that sounds professional but lacks the raw emotional energy that makes copy connect.
Competitor copy teaches you the wrong voice. Reading your competitors' websites tells you how other marketers describe the problem. It does not tell you how customers describe it. If you base your copy on competitor copy, you end up sounding like everyone else in the market.
None of these methods are useless. They each serve a purpose. But they all miss the most valuable thing: the unfiltered, unperformed language people use when they are just talking to each other.
Where to Find Unfiltered Customer Language
The best sources of voice-of-customer data share one quality: the people talking do not know a copywriter is listening.
Reddit. Subreddits are self-selected communities organized around shared problems and interests. Users post under pseudonyms, which removes social pressure and produces remarkably honest language. A single Reddit thread about "why I quit using [product category]" can give you more usable copy material than a dozen survey responses. For a detailed guide on how to do this, read how to find real customer language on Reddit.
Online forums and communities. Niche forums still exist for many industries. A woodworking forum, a nursing forum, or a SaaS founders community each contain thousands of conversations where people describe their daily frustrations in vivid detail.
Product reviews. Amazon reviews, G2 reviews, App Store reviews -- anywhere people rate and describe products. The most useful reviews are the three-star ones. Five-star reviews tend to be vague ("love it!"). One-star reviews tend to be emotional rants. Three-star reviews explain what worked, what did not, and what the reviewer wished was different.
Support tickets and chat logs. If you are writing for a client who has a support team, their ticket history is a goldmine. Customers describe their problems in their own words, often while frustrated, which makes the language especially vivid and specific.
Social media comments. Not the main posts (those are often performative) but the replies and comment threads underneath. When someone responds to a post about productivity tools with "honestly I just need something that doesn't crash every time I have more than 10 tabs open," that is voice-of-customer data.
How to Start Collecting Customer Language
You do not need a fancy tool or a complicated process to begin. Here is a practical approach you can start using today.
Pick one client project. Do not try to research everything at once. Choose the project with the most urgent deadline or the one where you feel least confident about the audience.
Identify where your audience gathers online. Think beyond the obvious subreddit or forum. If you are writing for a fitness app, check r/fitness, but also check r/loseit, r/running, r/bodyweightfitness, and r/ADHD (many people with ADHD struggle with exercise consistency). The adjacent communities are where you find unexpected angles.
Search for problem threads. Use Google with site:reddit.com and phrases like:
- "I can't figure out how to..."
- "Does anyone else struggle with..."
- "I'm so frustrated with..."
- "What finally worked for me was..."
These search patterns surface threads where people describe their experience in their own words, not in marketing language.
Copy phrases into a simple document. You do not need a spreadsheet with 15 columns. Start with a simple list. For each phrase, note:
- The exact quote
- Where you found it (subreddit, forum, review site)
- What it tells you about the person's emotional state
- Where you might use it in copy (headline, email subject, bullet point, ad)
Spend one focused hour. Set a timer. Read threads. Copy phrases. After an hour, you will have 15-25 usable phrases. That is enough to transform a landing page draft.
How to Organize and Use What You Find
After a few research sessions, you will have a growing collection of customer language. The next step is organizing it so you can actually use it when you write.
Group by awareness stage. Eugene Schwartz's five stages of awareness give you a natural organizing structure. Some phrases describe problems the person does not even realize they have (Unaware). Others describe active comparison shopping (Product Aware). Grouping by stage helps you pick the right language for the right context. PhraseMine's awareness stage classifier can help you sort phrases automatically if you want to speed this up.
Group by emotional theme. Look for patterns across your collected phrases. You might notice that many customers describe feeling "overwhelmed," or that a common desire is "just wanting something simple." These themes become the emotional pillars of your copy.
Tag with intended use. Mark each phrase with where you plan to use it: headline, email subject line, landing page bullet, ad copy, testimonial prompt, social post. When you sit down to write, you can filter to just the phrases relevant to the piece you are working on.
Keep it alive. Voice-of-customer research is not a one-time project. The best copywriters treat it as an ongoing habit. Spend 20 minutes a week reading new threads in your saved subreddits. Add new phrases to your collection. Over time, you build a library of real language that makes every piece of copy stronger.
The Difference It Makes
Copy written from voice-of-customer research sounds different. It sounds like the reader's internal monologue, not like a marketing department's output. When someone reads a headline that uses the exact phrase they used to describe their problem last week, they stop scrolling. They feel understood. And feeling understood is the first step toward trusting a brand enough to buy.
You do not need to be a better writer to write better copy. You need to be a better listener. VoC research is how you listen at scale.
If you want to do this research manually, the steps above will get you started today. If you want to move faster, PhraseMine automates the search and organization -- it finds the conversations, pulls out the language, and groups it by theme and awareness stage so you can focus on writing.
Either way, start with one client project. Spend one hour collecting real language. You will feel the difference in your next draft.