Social Intelligence
YouTube Activity Signals
9 signal subtypes detecting when prospects appear in, are mentioned in, or engage with YouTube videos — including product reviews, competitor discussions, and thought leadership content.
Contacts Searched
Signal Subtypes
Refresh Cadence
Coverage Rate
What Are YouTube Activity Signals?
YouTube is where B2B professionals share deep-dive content: conference keynotes, product reviews, industry analysis, and competitive comparisons. When a prospect appears in a YouTube video discussing sales technology trends or posts a review comparing vendor products, that is a high-intent signal that deserves immediate follow-up.
Autobound searches YouTube for prospect names, company mentions, and product references across 4M+ contacts, then classifies matches into 9 distinct subtypes: video appearances, company mentions, competitor discussions, product reviews, and comment activity. Each signal includes the video title, channel, view and comment counts, publication date, and relevant snippets.
YouTube signals are rare but high-value. Only 1-5% of contacts have detectable YouTube activity, but those who do are typically thought leaders, conference speakers, or influential voices in their industry. A prospect who recorded a video reviewing your competitor's product is among the highest-intent signals in the entire Autobound catalog.
These signals are especially powerful for executive outreach and thought leadership engagement. When a VP of Engineering delivers a conference keynote that gets 1,200+ views, referencing that specific talk in your outreach demonstrates a level of research that generic personalization cannot match.
Example Signal Subtypes
See It in Action
Real-World Example
Signal Detected
Atlassian's Head of AI appears in a SaaStr keynote video titled 'Why Most Enterprise AI Projects Fail' — it hits 8,500 views and 120 comments in the first week.
Sales Action
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.'
Result
Meeting booked because the outreach demonstrated genuine engagement with a specific talk, not just a name-drop — the prospect felt understood.
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": "yt-mention-a1b2c3d4",
"signal_type": "youtube",
"signal_subtype": "socialMediaProspectMentionedInYoutubeVideo",
"detected_at": "2026-01-15T10: 00: 00Z",
"association": "contact",
"contact": {
"full_name": "Sarah Chen",
"email": "sarah@example.com",
"linkedin_url": "linkedin.com/in/sarah"
},
"company": {
"name": "Example Corp",
"domain": "example.com"
},
"data": {
"appearances": [
{
"title": "The Future of Sales Tech: AI and Personalization",
"videoLink": "https://www.youtube.com/watch?v=abc123",
"channelTitle": "SalesInnovators",
"publishedAt": "2025-10-15",
"metrics": {
"viewCount": "1234",
"commentCount": "45"
},
"snippet": "In this keynote, Sarah discusses the challenges of scaling personalization while maintaining authenticity..."
}
]
}
}Use Cases
How Sales Teams Use YouTube Activity Signals
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.
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.
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.
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.
How It Works
From Raw Data to Actionable Signals
Autobound transforms unstructured data into structured, scored signals your team can act on immediately.
Autobound Ingests
Raw data from LinkedIn API, Glassdoor, GitHub, Reddit, G2 is continuously collected and normalized.
AI Extracts & Scores
ML models extract signal subtypes with relevance scoring, confidence levels, and sentiment analysis.
You Receive
Structured JSONL signals delivered via REST API, GCS Push, Generate Insights API, or Flat File export.
Flexible Delivery
Access YouTube Activity Signals Your Way
YouTube Activity Signals are available through all Autobound delivery methods. Choose the approach that fits your infrastructure.
REST API
Real-time access with subtype filtering
300 req/min
GCS Push
Automated delivery to your bucket
JSONL + Parquet
Generate Insights API
On-demand LLM-ranked insights
AI relevance scoring
Flat File
Bulk exports for data warehouses
CSV, JSON, ParquetRelated Signals
Combine for Deeper Intelligence
YouTube Activity Signals become more powerful when combined with related signal types. Cross-referencing multiple signals reveals patterns that no single source can surface alone.
“By consolidating three data vendors into Autobound's Generate Insights API, we added 100+ new signal types and saved 4 months of engineering time.”
AiSDR Team
Engineering, AiSDR
API Documentation
Explore the API
Full schema reference, sample requests, and integration guides. Everything you need to start consuming YouTube Activity Signals in your application.
Related Resources
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YouTube Activity Signals?
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