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Social Intelligence

YouTube Activity Signals

Published Updated

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.

Read the API docs
Contacts Searched
4M+
Refresh Cadence
Monthly
Coverage Rate
1-5% of contacts
Delivery
REST API, GCS Push, Generate Insights API, Flat File
Format
JSONL or Parquet
Bucket
gs://autobound-youtube-company/

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+ monitored 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.

Recent records

One subtype: YouTube videoyoutubeVideo

  • SAPsap.comAug 12, 2026

    SAP S/4HANA Cloud Public Edition 2608 release introduces innovations for Retail, Fashion, and Vertical Businesses.

    Views
    348
    Comments
    1
    View the full signal
  • Qualcommqualcomm.comAug 6, 2026

    Qualcomm discusses the shift from cloud-centric computing to distributed intelligence in AI.

    Views
    294
    Comments
    0
    Channel
    Qualcomm
    View the full signal
  • Metameta.comJul 27, 2026

    Meta showcases AI models powering an advanced wheelchair developed with the University of Pittsburgh.

    Views
    6,592
    Comments
    15
    View the full signal

From a YouTube video to your next move

What we detect, what you get, and what you do with it. Pick the path that fits your team.

Sales, marketing and RevOps: Slack, CRM fields and plays.

  1. 0103

    Prospects explain their choices on video

    We find videos where a contact speaks, check the match, and pull out the pain points, tools and competitors they name.

    1. YouTube
    YouTubeJun 22, 2026

    Why We're Ripping Out Looker (and What We're Replacing It With)

    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.

    Extracted
    GrowthCogrowthco.iocompanySarah MartinezcontactYouTube videosignal_subtype
  2. 0203

    You get one clean record

    Each record names the person, their title and company, labels the event, and links back to the source.

    1. Signal record

    GrowthCo

    growthco.ioSoftware Development

    Sarah MartinezVP of Revenue Operations

    YouTube videoyoutubeVideo

    VP of RevOps explains migration from Looker to Sigma Computing after evaluating alternatives.

    “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.”
    Tools named
    Looker, Sigma Computing, ThoughtSpot
    Detected
    Jun 22, 2026

    signal_id b2c3d4e5…

  3. 0303

    Act on it where you work

    Send it to Slack, write it to your CRM, or give it to an AI agent.

    When
    An exec publishes a video that names a competitor
    Do
    Email on the video's point, plus a comparison
    1. Your team acts
    or your own code
    #account-signals

    Signal alert from your workflow

    Sarah Martinez, GrowthCo· YouTube video

    VP of RevOps explains migration from Looker to Sigma Computing after evaluating alternatives.

    Play: Email on the video's point, plus a comparison

    Start the playOpen the source

    Illustration. The record fields are real.

Try it on your own accounts

1,000 free credits. Query youtube-video-contact in the Signal API or from Claude.

YouTube Signal Schema

YouTube signals include video metadata, engagement metrics, channel information, and classification 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": "s***@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": []
  }
}

Measured coverage

What's inside YouTube Activity Signals

A dated snapshot counted in our production database, not a live count. Minimums, not ceilings.

Coverage for all 35 signal types →
120,000
Companies with fresh data per month
Published baseline, records through Jul 14, 2026
192,966
Records created per month
3-month average, records through Jul 14, 2026

Top subtypes

1 total
Youtube Video855K · 100%
🇺🇸United States22K · 41%
🇬🇧United Kingdom2.6K · 4.9%
🇮🇳India2.6K · 4.8%
🇨🇦Canada1.5K · 2.8%
🇩🇪Germany1.4K · 2.6%
🇦🇺Australia1.2K · 2.2%
🇫🇷France1.2K · 2.1%
CA 5.9KNY 3.8KTX 3.5KFL 2.4KIL 1.8KPA 1.5K

Top industries

all industries →
Hospitals and Health Care3.0K · 5.6%
Higher Education1.4K · 2.6%
IT Services and IT Consulting1.4K · 2.5%
Retail1.3K · 2.4%
Financial Services1.3K · 2.4%
Building Construction1.2K · 2.2%
Software Development1.2K · 2.1%

Join keys

fill rate
Domain100%
LinkedIn URL0%
Company name100%
Records measured 854,567+Companies reached 54,322+

See for yourself

Check out sample data: real YouTube Activity records with the same fields the API returns.

Read the API docs
“Autobound's API streamlined our data management, accelerated product development, and improved outreach quality.”
AiSDR Team, Engineering Team, AiSDR

Frequently asked questions

What are YouTube activity signals?
YouTube activity signals detect when prospects appear in, are mentioned in, or engage with YouTube videos. Autobound's signals cover prospect appearances in videos, company and competitor mentions, product reviews, and comments on relevant content. This captures a content engagement layer that LinkedIn and Twitter signals miss entirely.
How does Autobound detect YouTube activity signals?
Autobound monitors YouTube on a monthly cadence, using AI to match videos to tracked contacts and companies through title analysis, transcript processing, and comment monitoring. Each signal includes the video URL, view count, engagement metrics, and the specific context (mention, review, discussion, or comment) with confidence scoring.
How should I use YouTube activity data in my outreach?
YouTube signals are most powerful when you reference specific content the prospect created or engaged with. Watching a prospect's keynote or product review and citing specific points they made demonstrates a level of genuine interest that generic outreach cannot match. This works especially well for thought-leader prospects who invest significant effort in their video content.