Find What Your Customers Actually Want

Analyze any video's transcript and comments to discover real consumer pain points, trending topics, and unmet needs. No surveys required.

25 credits free • Enterprise plans available • API access included

Real Problems Market Researchers Face

Your customers are already telling you what they want - in YouTube comments

"I need 500+ survey responses"

One popular product review video has 2,000+ authentic comments. Get real opinions without designing surveys.

"This survey will take 3 weeks"

Analysis of any video's comments takes 60 seconds. Get consumer insights today, not next month.

"People lie in surveys"

YouTube comments show what people really think when they're not trying to please a surveyor.

What You Can Actually Do

Real research tactics using video transcript and comment analysis

Customer Pain Point Radar

Find a product review video with lots of comments. Get organized list of what customers actually complain about.

  • "Battery life is terrible" (127 mentions)
  • "Too expensive compared to X" (89 mentions)
  • "Setup is confusing" (67 mentions)
Video: "Tesla Model 3 Review - 6 Months Later"
Positive comments 68%
Neutral comments 22%
Negative comments 10%
Top Pain Points (from 1,247 comments)
• "Where do I charge on road trips?" (89 comments)
• "Service center took 3 weeks" (67 comments)
• "Cold weather kills battery" (54 comments)
Gaming Channel: "TechReviews" Comment Analysis
Budget Gamers (34%)
Price complaints Want deals
Pro Builders (28%)
Want specs Ask technical Qs
Persona Insight
Budget Gamers are underserved
They comment "too expensive" 3x more than other groups

Audience Persona Builder

Analyze comments from any popular channel to create detailed customer personas based on real behavior.

  • "Budget Gamers" - Price-sensitive, want value
  • "Pro Builders" - Want technical specs, benchmarks
  • "First-Time Buyers" - Need simple explanations

Content Gap Finder

Find popular videos in your niche and see what topics people are requesting in comments that no one is covering.

  • "Can you review budget laptops?" (34 requests)
  • "What about Mac vs PC for students?" (28 requests)
  • "Gaming laptop under $800?" (19 requests)
Video: "Best Tech Channels to Subscribe To"
"Budget laptop reviews please" 34 comments
"Mac vs PC for college" 28 comments
"Gaming under $800" 19 comments
Market Opportunity
• Budget laptop segment is underserved
• Student-focused content has high demand
• Gaming + budget combo = content gap

Real market research applications

How businesses use Taffy for strategic insights

Product Launch Intelligence

A smartwatch company analyzed one popular fitness tracker review video with 3,200+ comments to find what customers actually wanted.

What They Found:
• "Battery dies too fast" (247 comments)
• "Sleep tracking is inaccurate" (189 comments)
• "Want more workout modes" (156 comments)
Result: Focused product features on these 3 issues

Brand Sentiment Check

A skincare brand analyzed comments on a popular "My Skincare Routine" video where their product was mentioned.

What They Discovered:
• 89% positive mentions of their moisturizer
• "Too expensive" mentioned 34 times
• "Wish they had travel size" (67 requests)
Result: Launched travel-size version

Market Entry Research

A food company analyzed one viral "Plant-Based Alternatives" video to understand what vegan products people actually wanted.

Comment Analysis Revealed:
• "Need better plant-based cheese" (142 requests)
• "Why is vegan food so expensive?" (98 complaints)
• "Want more protein options" (76 requests)
Result: Launched affordable high-protein line

Investment Due Diligence

A VC firm analyzed comments on a startup's product demo video to gauge real market reception before investing.

Comment Analysis Showed:
• 78% positive sentiment (higher than claimed)
• "When can I buy this?" (234 comments)
• "Finally someone solved this problem" (156 comments)
Result: Invested based on real demand signals

Trend Spotting

A beauty brand analyzed comments on viral "Glass Skin Routine" video to spot the next trending ingredients.

Trending Requests in Comments:
• "What about niacinamide for oily skin?" (89 asks)
• "Need affordable vitamin C serum" (67 requests)
• "Retinol for sensitive skin?" (54 questions)
Result: Developed gentle retinol line first

Customer Decision Research

A car dealership analyzed comments on "Buying Your First Car" video to understand what first-time buyers actually worry about.

Top Customer Concerns:
• "How do I know if I'm getting ripped off?" (167 worries)
• "What about hidden fees?" (134 questions)
• "Is financing worth it?" (98 asks)
Result: Created transparent pricing guide

Enterprise research capabilities

Advanced features for professional market research teams

Bulk Analysis & Reporting

  • Process hundreds of videos simultaneously
  • Automated weekly and monthly reports
  • Custom data visualizations and dashboards
  • Export to PowerBI, Tableau, and Excel

Enterprise Security & Support

  • SOC 2 Type II compliance
  • On-premise deployment options
  • Dedicated research success manager
  • 24/7 priority support and SLA

Research-friendly pricing

Flexible credit system scales from small studies to enterprise research programs.

Small market study

20 competitor video analyses 40 credits
10 comment section deep dives 50 credits
30 transcript extractions 30 credits
Total study cost 120 credits

About $2.40 with Growth plan

Large research project

100 video insights across category 200 credits
50 comprehensive comment analyses 250 credits
150 competitor transcripts 150 credits
Total project cost 600 credits

About $12.00 with Growth plan

Need more than 10,000 credits? Contact us for custom enterprise pricing.

25 credits free • Enterprise discounts available • API access included

Researcher FAQ

Common questions from market research professionals

How does YouTube data compare to traditional survey research?

YouTube data captures authentic, unfiltered consumer sentiment at scale. Unlike surveys with hundreds of respondents, popular videos generate thousands of genuine reactions. The data is also immediate—no need to design surveys or wait for responses.

What's the sample size and reliability of YouTube insights?

Sample sizes typically range from hundreds to hundreds of thousands of comments per analysis, far exceeding traditional research. Our sentiment analysis has 94%+ accuracy, and we provide confidence scores for all insights to help you assess reliability.

Can I use this data for academic or professional research papers?

Yes, many researchers cite YouTube analysis in academic papers and professional reports. All data is from publicly available sources. We provide detailed methodology documentation and confidence scores to support your research standards.

How current is the data, and can I track trends over time?

Data is as current as the videos you analyze—from minutes old to years old. Many researchers track sentiment trends by analyzing videos published over time periods to see how opinions evolve around products, brands, or topics.

What export options are available for analysis integration?

All data exports to CSV, JSON, or direct API integration. Many research teams integrate with tools like SPSS, R, Python pandas, Tableau, or PowerBI for further statistical analysis and visualization.

Is there demographic or geographic information available?

We provide available demographic data from public profiles (when shared by users). While not as controlled as traditional demographics, you can infer geographic trends from language, cultural references, and time zone patterns in comments.

Transform YouTube into your research lab

Access billions of authentic consumer interactions and turn them into actionable market intelligence.

25 free credits
Academic pricing
Enterprise support
API access