SAPsap.comAug 12, 2026
SAP S/4HANA Cloud Public Edition 2608 release introduces innovations for Retail, Fashion, and Vertical Businesses.
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Social Intelligence
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.
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.
One subtype: YouTube videoyoutubeVideo
SAPsap.comAug 12, 2026
SAP S/4HANA Cloud Public Edition 2608 release introduces innovations for Retail, Fashion, and Vertical Businesses.
Qualcommqualcomm.comAug 6, 2026
Qualcomm discusses the shift from cloud-centric computing to distributed intelligence in AI.
Metameta.comJul 27, 2026
Meta showcases AI models powering an advanced wheelchair developed with the University of Pittsburgh.
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.
Sales, marketing and RevOps: Slack, CRM fields and plays.
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We find videos where a contact speaks, check the match, and pull out the pain points, tools and competitors they name.
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.
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Each record names the person, their title and company, labels the event, and links back to the source.
GrowthCo
growthco.ioSoftware Development
Sarah MartinezVP of Revenue Operations
youtubeVideoVP 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.”
signal_id b2c3d4e5…
0303
Send it to Slack, write it to your CRM, or give it to an AI agent.
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
Illustration. The record fields are real.
0103
We find videos where a contact speaks, check the match, and pull out the pain points, tools and competitors they name.
0203
Land monthly JSONL from your GCS bucket. Join on company.domain; check contact-key coverage first.
0303
Show video activity and summary on the profile.
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.
Step 1 of 3: Prospects explain their choices on video
Try it on your own accounts
1,000 free credits. Query youtube-video-contact in the Signal API or from Claude.
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
A dated snapshot counted in our production database, not a live count. Minimums, not ceilings.
Check out sample data: real YouTube Activity records with the same fields the API returns.
“Autobound's API streamlined our data management, accelerated product development, and improved outreach quality.”