Social Intelligence
YouTube Activity Signals
When a prospect delivers a keynote, reviews a product, or walks through a migration on YouTube, Autobound captures it: video metadata, engagement counts, and LLM-extracted pain points, initiatives, technologies, and competitors.
Contacts Searched
Signal Subtypes
Refresh Cadence
Coverage Rate
What Are YouTube Activity Signals?
YouTube activity signals surface when prospects post or appear in YouTube content: conference talks, product reviews, technical walkthroughs, and webinar recordings. Autobound searches YouTube across 4M+ contacts, validates matches against video descriptions and channel names, then analyzes each video with LLMs to extract pain points with intensity scores, initiatives with urgency scores, technologies mentioned with adoption status, and competitors referenced.
Coverage is deliberately narrow and deep: 1-5% of contacts have detectable YouTube activity, but matches skew toward keynote speakers, reviewers, and industry voices. Because videos run 30-60 minutes, a single signal often carries more evaluation detail (a migration walkthrough or a head-to-head tool comparison) than a month of LinkedIn posts. Refreshed monthly.
Example Signal Subtypes
Data Schema
YouTube Signal Schema
YouTube signals include video metadata, engagement metrics, channel information, and classification across 9 subtypes covering mentions, reviews, and engagement.
{
"signal_id": "b2c3d4e5-f6a7-8901-bcde-f12345678901",
"signal_type": "youtube-video-contact",
"signal_subtype": "youtubeVideo",
"signal_name": "Contact posted YouTube video",
"association": "contact",
"detected_at": "2026-06-22T15: 36: 11.235Z",
"contact": {
"email": "sarah.martinez@growthco.io", // match on email
"name": "Sarah Martinez",
"first_name": "Sarah",
"last_name": "Martinez",
"job_title": "VP of Revenue Operations"
},
"company": {
"name": "GrowthCo",
"domain": "growthco.io", // match on domain
"description": "B2B SaaS platform for sales engagement",
"industries": ["Software Development"],
"employee_count_low": 51,
"employee_count_high": 200
},
"data": {
"videoLink": "https://www.youtube.com/watch?v=xR7qK3mPzL4",
"channelTitle": "RevOps Unplugged",
"publishedAt": "2026-06-18T10: 00: 00.000Z",
"viewCount": "4,892",
"commentCount": "127",
"video_title": "Why We're Ripping Out Looker (and What We're Replacing It With)",
"video_description": "After 2 years on Looker, our BI stack hit a wall. I walk through why Looker stopped working for our RevOps team, what we evaluated (Sigma Computing, ThoughtSpot, Hex), and why we chose Sigma.",
"contact_youtube_channel_url": "https://www.youtube.com/@smartinez_revops",
"tags": ["Business Intelligence", "Migration", "Revenue Operations"],
"summary": "VP of RevOps explains migration from Looker to Sigma Computing after evaluating alternatives.",
"pain_points": [
{ "topic": "BI stack unable to scale with growth", "intensity": 0.8 }
],
"initiatives": [
{ "topic": "migrating BI stack from Looker to Sigma", "urgency": 0.9 }
],
"technologies_mentioned": [
{ "name": "Looker", "status": "migrating_from" },
{ "name": "Sigma Computing", "status": "migrating_to" },
{ "name": "ThoughtSpot", "status": "evaluating" }
],
"competitors_mentioned": []
}
}- GCS Bucket
- gs://autobound-youtube-v1/
- Formats
- JSONL · Parquet
- Refresh
- Monthly
Applications
What teams build with YouTube Activity Signals
04 documented applications
- 01
Executive Thought Leadership Engagement
When prospects deliver conference keynotes or appear in industry panels captured on YouTube, reference their specific talk in outreach for a deeply personalized conversation opener.
- 02
Competitor Product Review Targeting
Detect when prospects post or engage with YouTube reviews of competitor products. Someone reviewing your competitor's tool is actively evaluating solutions in your category.
- 03
Industry Influencer Identification
YouTube activity signals identify the most visible voices in your target market. High view counts and engagement rates indicate prospects with outsized influence on purchasing decisions.
- 04
Content Co-Marketing Opportunities
Find prospects who actively create video content about topics related to your product. These contacts may be interested in co-marketing partnerships, webinars, or case study collaborations.
Measured, Not Estimated
What's actually inside YouTube Activity Signals
Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.
Top subtypes
1 totalGeography
all 156 countries →Top industries
all industries →Join keys
fill rateSee the real records for yourself.
See full coverage & segmentation across all 35 signal types →
Worked Example
One signal, traced to outcome
One YouTube Activity Signals record followed from detection, through the action a rep took on it, to the measured result. Illustrative composite of observed customer workflows.
01 signal → 02 action → 03 outcome
Signal detected
Atlassian's Head of AI appears in a SaaStr keynote video titled 'Why Most Enterprise AI Projects Fail,' hitting 8,500 views and 120 comments in the first week.
Action taken
An MLOps platform sends a message:
“Watched your SaaStr keynote on enterprise AI failure modes. Your point about data pipeline fragility is exactly what we solve. Would love to show you how we prevent the #1 cause of AI project failure.”
Outcome
Meeting booked
Because the outreach engaged with a specific talk instead of name-dropping it. The prospect felt understood.
FAQ
Frequently Asked Questions
What are YouTube activity signals?
How does Autobound detect YouTube activity signals?
How should I use YouTube activity data in my outreach?
How It Works
From Raw Data to Your Stack
Autobound ingests from LinkedIn API, Glassdoor, GitHub, Reddit, G2, extracts structured signals with AI, and delivers them however your infrastructure needs.
Autobound Ingests
Raw data from LinkedIn API, Glassdoor, GitHub, Reddit, G2 is continuously collected and normalized across millions of sources.
AI Extracts & Scores
ML models extract 9 signal subtypes with relevance scoring, confidence levels, and entity resolution.
You Receive
Structured JSONL delivered via your preferred method, updated on a monthly cadence.
REST API
Real-time access with subtype filtering
300 req/minGCS Push
Automated delivery to your bucket
JSONL + ParquetEnrich API
On-demand LLM-ranked insights
AI relevance scoringFlat File
Bulk exports for data warehouses
CSV, JSON, Parquet“By consolidating three data vendors into Autobound's Enrich API, we added 100+ new signal types and saved 4 months of engineering time.”
AiSDR Team
Engineering, AiSDR
Ready to License YouTube Activity Signals?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.