YouTube has millions of unfiltered consumer opinions. Nobody can search them.
Taffy indexes transcripts and comments across entire channels. Search the words and pull out audience sentiment. Find competitive positioning in minutes instead of weeks of video review.
Used by product teams, marketers and research agencies.
Traditional research is slow and expensive
Expensive agencies
A proper sentiment audit costs $2-5K and takes 3 weeks. By the time you get results, the market has moved.
Polite survey responses
Your customers are polite in surveys. They will not tell you what they think. But on YouTube? They are blunt.
Manual comment analysis
Reading through thousands of comments across multiple channels is impossible to scale. The insight that matters sinks out of sight.
YouTube is the world's largest focus group
Every day, consumers leave unfiltered opinions in YouTube comments. They cover products and brands and competitors. This is real sentiment—not survey responses crafted to be polite.
When someone comments "I switched from [Competitor] because..." or "Why doesn't anyone make a [product] that..." that's market intelligence.
Taffy analyses whole channels, every video and every comment. It pulls out sentiment patterns and pain points, plus feature requests and competitive positioning.
How researchers use channel intelligence
Real research applications using channel-level analysis
Competitive sentiment analysis
Analyze competitor review channels to see what customers love and hate. Track sentiment over time.
Product-market fit validation
Search for your product category across relevant channels. See if there's real demand before building.
Brand perception tracking
Monitor what people say about your brand on third-party review channels. Get sentiment your own analytics won't show.
Consumer pain point radar
Analyse product review channels for an ordered list of what customers complain about, with frequency data.
- "Battery life is terrible" (127 mentions)
- "Too expensive compared to X" (89 mentions)
- "Setup process is confusing" (67 mentions)
Audience persona extraction
Build detailed audience personas from real comment behavior—not survey responses. See how different segments talk about products.
- "Budget Buyers" - Price-sensitive, want deals
- "Power Users" - Want advanced features, specs
- "First-Timers" - Need simple explanations
Chat with channel data
Ask research questions and get answers based on all videos and comments from any channel. No more manual analysis.
- "What are the top 5 complaints about [product]?"
- "How does sentiment compare to last year?"
- "What features do viewers request most?"
How researchers use Taffy
How teams use channel intelligence for market research
Product launch research
Index the review channels in your category and ask what buyers keep requesting before you lock a spec.
Brand health monitoring
Search the beauty channels that mention your product and read what viewers say back.
Investment due diligence
Read the comments under a startup's demo videos to see how the market answered.
Researcher FAQ
Yes. We analyze public comments that are already visible to anyone. We don't scrape private data or violate YouTube's terms. This is the same data you would read by hand, now structured and queryable.
Yes. Many researchers cite YouTube comment analysis in academic papers. Every source we read is public. We provide methodology documentation and confidence scores.
Export to CSV, JSON or integrate via REST API. Research teams connect to SPSS or R or Python pandas. Tableau and PowerBI work too.
Our AI uses context-aware processing trained on YouTube comment patterns. Accuracy exceeds 85% on sentiment classification. We recommend spot-checking a sample for critical research.
Yes. Need high-volume research or API access or a white-label build? Contact us. We work with research agencies and enterprise teams on custom arrangements.
Stop guessing what the market wants
Get real consumer sentiment from YouTube channel data. In minutes, not weeks.