A three-platform VOC analysis that produced 10 ranked hooks, 3 audience personas, a competitor positioning map, and a ready-to-execute creative brief — built entirely from what customers already said.
The brand had real product-market fit. Customer satisfaction was high. But their paid acquisition was running on assumption — ad creative built around what the team thought customers valued, not what customers actually said.
The result: CPMs in the $20–30 range with creative that looked like every other DTC brand on the feed. High spend, flat performance, no signal on what was actually resonating.
They knew the product was good. The data problem wasn't in the product — it was in the creative brief.
We ran a structured VOC scrape across the three platforms where this brand's customers were most active: TikTok (comment threads under organic content), Amazon (verified purchase reviews), and Meta/Facebook (product page reviews, ad comments, and Reel reactions).
Comment threads, reaction patterns, organic hashtags, and superfan behavior signals.
Verified purchase language — the highest-trust signal in the dataset. Every word is from someone who paid.
Full reviews, product page comments, Reel reactions, and Ads Library entries.
Every comment was categorized into four buckets: hooks (language that stops thumbs), objections (reasons not to buy), desire statements (what customers want but don't yet have), and competitive positioning (how they compare to alternatives). Then ranked by cross-platform frequency.
The methodology is straightforward. The discipline is in doing it exhaustively instead of stopping at 10 comments and calling it research.
"My son bought it. I've been stealing it from him to play in the mornings."
This line — left organically in an App Store review, echoed across Facebook — became the #1 cold-audience hook in the deliverable. It contains a multi-generational tension, a morning ritual, and an implicit scarcity signal in a single sentence. No copywriter invented it. No focus group produced it. A customer just told us, unprompted.
This is what VOC finds that brief-from-assumptions misses: the specific, human, unexpected language that stops a scroll because it sounds nothing like an ad.
The output wasn't a slide deck of observations. It was a creative brief — actionable from day one.
Ordered by cross-platform emotional punch. Direct customer language. Each with a note on why it works and which ad format it's built for.
Distinct positioning themes — Morning Ritual, Gift Magnet, Screen-Free Antidote, Brain Sharpener, Founder Story — each backed by 3 cross-platform customer quotes.
Top friction points with reframe language ready for ad copy and landing page FAQ. Including how to turn "out of stock" into a conversion event.
What paying customers want but don't have yet — each mapped to a product or positioning opportunity. One produced an immediate SKU recommendation.
Built from actual buyer language, not demographic assumptions. Each with a platform strategy, an ad format, and a lifetime value estimate.
How customers compare the product to Scrabble, Boggle, Bananagrams, and Words With Friends — in their own language — with 4 ready-to-use competitive copy lines.
The creative deployment table mapped every hook and angle to a specific ad format (TikTok spark, Facebook feed, Instagram Reel, Amazon sponsored, retargeting), so the media buyer could run it without another brief.
Most "customer research" in DTC is one of three things: a Net Promoter Score survey nobody reads, a persona deck built from demographic guesses, or a copywriter's intuition dressed up as insight.
VOC scraping is different because the data exists whether you collect it or not. Your customers are already writing their honest purchase rationale in review sections, comment threads, and Facebook reactions — unprompted, unfiltered, and free. You're either using that language or you're not.
The brands that outperform on creative don't have better copywriters. They have better inputs. The brief we produced for this client contained sentences that no copywriter would have invented, because no copywriter has the lived experience of a 55-year-old who steals a game from her son every morning before work.
That specificity is the difference between a 2% CTR and a 6% CTR. Not the font, not the production value, not the platform algorithm. The language.
If your brand has reviews, comments, or community content — you have everything we need. We'll scrape it, structure it, and hand you a brief that sounds like your customers, because it came from them.
Or read the methodology first: How to Mine Customer Reviews for Ad Copy That Converts →