Key Takeaways
- VOC stands for "voice of customer" but most brands collect the wrong kind: prompted, polished, and biased toward what people think they should say
- NPS scores have a weak association with actual purchasing behavior, according to peer-reviewed research
- 51% of online purchase conversations happen on Reddit, where people talk without filters
- You don't need a research team to do this well. You need to know where people are already talking
So, What Is VOC?
The term gets used loosely. VOC, or voice of customer, refers to the practice of capturing your customers' needs, preferences, and frustrations in their own words. The goal is to stop guessing what people want and start listening to what they actually say. Simple enough in theory.
In practice, it's gotten tangled up with a specific set of tools: post-purchase surveys, NPS emails, quarterly feedback forms. Those tools aren't wrong, exactly. But they've become so synonymous with VOC that most brands have lost sight of what the concept was supposed to do in the first place.
How Most Brands Actually Do It
Ask any early-stage DTC brand how they collect customer feedback, and they'll usually mention some version of the same three things: a post-purchase email survey, an NPS score, and maybe an occasional customer interview. That's the standard playbook. It's taught in growth courses, built into Klaviyo flows, and generally accepted as "doing research."
There's a market for it too. By 2025, 60% of companies with VOC programs were expected to move beyond survey-only strategies (QKS Group / GlobeNewswire, 2025). The fact that this is framed as progress tells you something about where the baseline was.
Survey response rates have been falling for years. The BLS Consumer Expenditure Survey saw response rates drop roughly 30 percentage points between 2014 and the mid-2020s (Bureau of Labor Statistics, cited in SF Fed Economic Letter, 2025). The people who do respond aren't a neutral sample. They're the ones motivated enough to fill out a form, which tends to skew the data before you've even read the results.
Why Surveys and NPS Give You a Distorted Picture
This is where it gets uncomfortable. NPS, in particular, has become a default metric for customer satisfaction at brands of all sizes. The problem is that research doesn't really back up what brands are using it for.
A 2024 peer-reviewed study in the Journal of Marketing Management found that NPS has a "weak association between stated likelihood to recommend and actual recommending" (Dawes, Journal of Marketing Management, SAGE, 2024). The same study found that when customers change their NPS score, "that has almost no relationship to how they divide their spending" (Dawes, SAGE, 2024).
That's worth sitting with. You're tracking a metric, building dashboards around it, maybe making product decisions based on it, and the research says it doesn't predict actual behavior.
The deeper issue isn't that NPS is a bad metric. It's that it measures willingness to give a socially acceptable answer, not actual intent. Asking someone if they'd recommend your brand to a friend puts them in performance mode. They're representing themselves, not reporting reality.
This isn't just an NPS problem. A study on organic food purchases found that self-deception creates "considerable upward bias in estimated purchasing frequency" (Humanities and Social Sciences Communications, Nature Publishing Group, 2016). When people answer survey questions, they often answer as the version of themselves they aspire to be, not the version making actual purchase decisions on a Tuesday night.
What VOC Should Actually Look Like
Real voice of customer is unsolicited. It's what people say when they're not being asked, when they're talking to each other, when no brand representative is in the room.
Think about what happens when someone has a bad experience with a supplement brand. They don't fill out a feedback form. They open Reddit and post "is anyone else getting headaches from [brand]?" They want validation. They want information. They're not filtering for politeness or brand sensitivity. That's voice of customer in its raw form.
The numbers behind this are hard to ignore. 74% of Reddit users say the platform influences their purchasing decisions (Reddit / Verto Analytics, 2024). 51% of online purchase conversations take place on Reddit (Reddit, cited in SBE Council, 2026). And 86% of internet users say they trust Reddit when learning about new products and brands (Reddit x Ypulse, 2024).
YouTube comments work similarly. Someone posts a review of your product. The comments section becomes an unmoderated focus group. People say what they actually think, argue with each other, share what they switched to, explain exactly why something didn't work for them.
That's your data. Most brands aren't reading it.
How to Apply This Without a Research Team
The good news is that you don't need a budget to start. You need consistency and a willingness to read things that aren't always flattering.
In practice, the most useful sessions involve picking two or three subreddits relevant to your category and spending an hour reading recent threads, not searching for your brand name, but understanding what problems people are trying to solve. The language people use to describe a problem is often more useful than anything a survey would surface.
Start with the category, not your brand. Search for the problem your product solves. Look at how people phrase their frustrations, what alternatives they've tried, what made them switch. That gives you the language and the mental model before you ever search for your own brand name.
Then search for your brand specifically. Look for threads where people mention you, review videos on YouTube, comment sections under relevant content. Note the exact phrases people use, not summaries of what they said, the actual words.
Do this monthly, not quarterly. Consumer language shifts faster than most brands realize. 61% of US consumers discovered a new brand on social media in the past year (Deloitte Digital, 2025). The conversations driving that discovery are happening continuously, not on a quarterly reporting schedule.
93% of consumers have made purchases after reading online reviews (BrightLocal, 2026). The reviews and comments that influenced those purchases weren't filtered through a brand survey. They were written by people talking to other people.
There's an older piece of data worth mentioning here. An Aberdeen Group study from 2013 found that companies with best-in-class VOC programs generated roughly 10x greater year-over-year revenue growth compared to weaker programs. It's an older study and the methodology has limitations, but the directional point holds: brands that understand what their customers actually think tend to make better decisions.
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Get your report · $499FAQ
What's the difference between VOC and customer feedback?
Customer feedback is usually solicited, collected through surveys, review requests, or support tickets. VOC, in its broader sense, includes everything customers say about a category or brand, whether or not they were asked. The unsolicited kind tends to be more honest. Surveys capture what people are willing to say to a brand. Community conversations capture what they say to each other.
Do I need to be on Reddit to collect this data?
Not necessarily. The same principle applies to YouTube comments, Facebook groups, niche forums, and app store reviews. Reddit tends to be the highest-volume source for purchase-related conversations, with 51% of online purchase conversations happening there (Reddit, cited in SBE Council, 2026), but the right channel depends on your category. Skincare brands often find more in r/SkincareAddiction than anywhere else. Pet brands might find more in Facebook groups.
How is this different from social listening?
Social listening tools typically monitor branded mentions across social platforms, usually Twitter, Instagram, and TikTok. That's useful for PR and brand health tracking. What we're describing here is more like reading entire threads, understanding context, following a conversation from the original post through the comments. It's slower and less automated, but it tells you the why behind the sentiment, not just the volume.
Closing Thoughts
VOC as a concept isn't broken. The implementation is.
When brands reduce it to NPS scores and post-purchase surveys, they end up with data that's polished, socially acceptable, and not particularly useful for making decisions. The real signal is sitting in places brands rarely look: a thread from three months ago where someone explained exactly why they stopped buying from a competitor, a comment under a YouTube review that describes a problem your product actually solves.
The question most founders should be asking isn't "how do we improve our survey response rate?" It's "where are our customers already talking, and are we listening?"
Most of the time, the answer to the second part is no.
Sources
- QKS Group. (2025). VoC Market Disruptions Report. GlobeNewswire. Link — Retrieved May 2026.
- Federal Reserve Bank of San Francisco. (2025, March). Do Low Survey Response Rates Threaten Data Dependence? SF Fed Economic Letter. Link — Retrieved May 2026.
- Dawes, J.G. (2024). Net Promoter Score and its relationship with customer retention and recommendation behavior. Journal of Marketing Management, SAGE Publications. Link — Retrieved May 2026.
- Humanities and Social Sciences Communications (Nature Publishing Group). (2016). Self-deception and purchasing frequency bias. Link — Retrieved May 2026.
- Reddit / Verto Analytics. (2024). The Value of Reddit's Community and Its Effect on Purchase Decisions. Cited in Adweek. Link — Retrieved May 2026.
- SBE Council. (2026, April). Reddit's Purchase Influence Is Growing Whether Your Business Engages or Not. Link — Retrieved May 2026.
- Reddit x Ypulse. (2024). Brand Trust Whitepaper. Cited in Adweek. Link — Retrieved May 2026.
- BrightLocal. (2026). Local Consumer Review Survey. Link — Retrieved May 2026.
- Deloitte Digital. (2025). State of Social Research 2025 (n=1,000 US consumers). Link — Retrieved May 2026.
- Aberdeen Group. (2013). Voice of the Customer Programs: Best-in-Class vs. All Others. Cited in CMSWire. Link — Retrieved May 2026.