Extract structured insights from social videos for business intelligence
Babbl Labs uses AI to analyze millions of social media videos, pulling out transcripts, sentiment, and key mentions automatically. It helps funds and brands track what's being said about them on platforms like YouTube without manual effort. This turns overwhelming video content into actionable data for smarter decisions and trend spotting.
Monitor mentions of brands, products, and companies across videos
Detect positive, negative, and buy/sell signals from video content
Automatically identify and catalog public figures and influencers
Integrate insights with applications like S3 and Snowflake
Access 6+ years of archived video data for analysis
We deliver data through secure API endpoints, S3 bucket integration, or direct Snowflake share. Data is provided in JSON format with comprehensive documentation and schema versioning. We support both real-time streaming and batch delivery options.
Our multi-stage pipeline includes automated quality checks, entity resolution verification, and speaker validation. We maintain detailed accuracy metrics for our ML models and provide transparency reports on data coverage and completeness. Our speaker verification system has >99% accuracy on known experts.
We maintain a full archive dating back 6+ years, with complete coverage of S&P 500 mentions. Historical data undergoes the same processing as real-time feeds to ensure consistency. All historical content is reprocessed when we release major model updates.
Our data collection and processing methods comply with YouTube's terms of service and fair use provisions. We can provide detailed documentation on our compliance framework and data usage rights. All data is sourced from public content only.
Enterprise clients receive dedicated technical support, including integration consulting, custom schema mapping, and 24/7 production support. We provide comprehensive API documentation, example code, and sample datasets for evaluation.
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Recent data shows that Babbl Labs has 1.3K monthly visits (82.8% increase from the previous month), 45.0% bounce rate, and average 1.97 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 1 countries worldwide, led by United States contributing 100% of total traffic. SEO performance is shown by 5 tracked keywords, with "meat eater new season" being the top-performing keyword with 240 monthly searches. See below for more info.
Monthly Visits
1.3K
Pages per Visit
1.97
Bounce Rate
45.0%
Average Time on Site
46s
| SEO Keyword | Volume | CPC |
|---|---|---|
| meat eater new season | 240 | - |
| babbl labs | 140 | - |
| meateater | 11.5K | $3.62 |
| is youtube social media | 11.3K | - |
| babbl | 510 | $3.24 |
| Source | Traffic Share |
|---|---|
| Direct | 2% |
| Search | 93% |
| Social | 2% |
| Referrals | 2% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 100% |
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