Latest / Social Media Marketing with Fexingo: Instagram, TikTok, LinkedIn, and Platform Strategy / How Brands Turn Social Media Comments Into Market Research
Transcript
- Lucas: Let's talk about something brand managers scroll past every single day and usually ignore: the comments section. Luna: You mean the chaos below a post? The memes, the complaints, the random questions? Lucas: Exactly. But here's the thing — some brands have started treating those comments not as noise, but as free, unsolicited market research. And they're using that data to drive product decisions, not just engagement metrics. Luna: I've seen this. Glossier basically built their Boy Brow product after noticing how many people commented asking for a brow product on their skincare posts. They literally mined the comments. Lucas: Right. And that's not a one-off. There's a framework emerging where brands categorize comments into three tiers. Tier one: feature requests — people explicitly saying 'I wish this did X.' Tier two: friction points — people complaining about something that's hard to use or missing. Tier three: sentiment shifts — when you see a pattern of language change around a product or category. Luna: So it's not just about reading comments. It's about codifying them. Do you have a specific case where this went beyond consumer goods? Lucas: Adobe. Specifically, the Photoshop team. A few years ago, they started a program where community managers would flag comments on Instagram that mentioned specific feature frustrations. They noticed a recurring complaint about the 'Content-Aware Fill' tool not working well with certain backgrounds. That comment thread actually led to a targeted update in a later release. Luna: So a comment on Instagram influenced a Photoshop update? That's pretty wild. Lucas: It is. And the key is that these comments are unfiltered. Traditional focus groups or surveys have inherent bias — people know they're being watched. But a comment on a Tuesday night at 10 PM? That's authentic frustration or delight. Luna: But there's a risk of confirmation bias, right? If a brand only looks at comments from their most engaged fans, they might miss the silent majority. Lucas: That's the big pitfall. Smart brands balance comment analysis with quantitative data — like survey NPS scores or support ticket trends. The comments should be the hypothesis, not the conclusion. One brand I worked with — a mid-size DTC skincare company — reallocated about $400,000 of their marketing budget based on comment analysis. They noticed a pattern of people asking for a fragrance-free version of their moisturizer. They launched it, and within six months, it was 30% of their revenue. Luna: That's a massive ROI. And they got that insight for free. No focus group costs, no agency research fees. Lucas: Exactly. But it requires discipline. Most brands just see comments as engagement — they like them, reply, and move on. The ones who actually capture that data in a spreadsheet or a CRM and look for patterns — they're the ones getting the edge. Luna: I imagine it also changes how you hire community managers. You need someone who can spot patterns, not just reply with a heart emoji. Lucas: Totally. Some brands now have 'insight community managers' — their job is literally to summarize comment trends for the product team. It's a new role that didn't exist five years ago. Luna: What about the sentiment shift tier? That sounds harder to track. Lucas: It is. That's where you need tools like Brandwatch or Sprout Social that can do sentiment analysis over time. But even manual tracking works if you're consistent. For example, a quick-service restaurant chain noticed over a few months that comments on their Instagram posts started using words like 'stale' and 'cold' more frequently. They traced it back to a supplier change on a key ingredient. They switched back, and the language shifted positive again. Luna: So comments became an early warning system for quality issues. That's smart. Lucas: Right. And it's faster than waiting for a customer service call center report. By the time the call volume spikes, you've already lost weeks of goodwill. Luna: Is there a downside? Like, what if a brand overcorrects based on a vocal minority? I'm thinking of the time when a small group of loud comments made a brand change a formula, and then the silent majority revolted. Lucas: That's the classic 'vocal minority' trap. The way to avoid it is triangulation. If comments on Instagram, support tickets, and returns data all point in the same direction, you act. If it's just comments, you investigate further before making a big move. Luna: So the framework is: listen, categorize, validate, then act. Lucas: Exactly. And the brands that do this well see a compounding effect. Over time, their community starts to realize, 'Hey, they actually listen.' That encourages more high-quality comments. It becomes a virtuous loop. Luna: It's almost like product development through conversation. Lucas: That's a great way to put it. And the best part? It works for any brand size. You don't need a huge budget. You just need a process and a person who's curious enough to read the comments. Luna: For sure. And if you're a solo founder, you can literally do it yourself in 30 minutes a day. Lucas: Yeah. Block out time, open your Instagram or TikTok, and actually read the comments. Not just the top ones — scroll. That's where the gold is. The forty-second comment that says 'I love this but I wish it came in a smaller size' — that's your next product iteration. Luna: You know, this conversation reminds me of something we've touched on before — the idea that the best marketing insights often come from listening more than broadcasting. And that's actually the spirit behind what keeps our show going. If these marketing conversations have sparked something you've actually used — whether it's a new way to look at comments or a strategy you tried — and if you'd like to support the show staying independent and ad-free, you can always buy me a coffee at buy me a coffee dot com slash fexingo. Just a simple way to say thanks. Lucas: Yeah, that's exactly right. No pressure ever. Just if you find value here, it's a nice way to keep the lights on. And honestly, the comments we get from listeners often become episode ideas — so in a way, you're already part of that feedback loop. Luna: Exactly. Alright, back to the comments. So we've talked about three tiers. Are there brands doing this at scale that you'd point to as benchmarks? Lucas: LEGO is a great example. They have a dedicated platform called LEGO Ideas, but they also mine their social comments for product suggestions. They've released sets directly inspired by fan comments — like the typewriter set. That came from a comment thread on an Instagram post about retro office supplies. Luna: That's a $200 set that came from a comment. Amazing. Lucas: And on the smaller side, there's a brand called Death Wish Coffee. They noticed comments asking for a cold brew concentrate, so they developed one. Now it's one of their top sellers. The comment to product cycle was under a year. Luna: So the common thread is: they all had a system. Not just vibes. Lucas: Exactly. And that system doesn't have to be expensive. A simple spreadsheet with columns for date, comment, theme, and action taken — that's enough to start. Over time, patterns emerge. Luna: But what about TikTok comments? They're often more chaotic, more meme-based. Can you really mine those for product insights? Lucas: It's harder, but yes. The key is to look for repeated phrases or emojis. If hundreds of people are using the same emoji to react to a product feature, that's a signal. Also, TikTok's comment replies are often used as mini FAQs. Brands can track what questions keep coming up — that reveals friction points or unmet needs. Luna: So it's not just about the comment text, but also the context and the frequency. Lucas: Right. And one more thing — brands should also look at what people are commenting on competitors' posts. You can spot unmet needs there too. If everyone's complaining on a competitor's post about one thing, that's an opportunity for you. Luna: That's almost like competitive intelligence through social listening. It's a whole new layer. Lucas: Exactly. And it's available to anyone with an internet connection and a curious mindset. That's the democratization of market research. Luna: Alright, so if someone wants to start today, what's the first step? Lucas: Pick one platform where your audience is most active. Spend 15 minutes a day reading comments. Don't reply — just read and note patterns. After a week, look at your notes. I guarantee you'll find at least one actionable insight. Luna: And from there, you can build your own three-tier system. Lucas: Exactly. Start small, stay consistent, and let the community tell you what they want. They're already talking. You just have to listen.