Social Intelligence
Conference Speaker Signals
Know when prospects take the stage. Speaker announcements and post-event coverage across 10,000+ B2B conferences, with session titles, topics, dates, and full contact resolution, refreshed daily.
Events tracked
Signal subtypes
Update frequency
Industries covered
What Are Conference Speaker Signals?
Conference speaker signals detect when a monitored contact is announced as a speaker, or confirmed as having presented, at one of 10,000+ B2B conferences, summits, and industry events. Each signal includes the event name, dates, location, session title and description, session type, topics, and a 0-1 relevance score, refreshed daily.
Speaking slots are high-value moments on both sides of the event. Before it, the speaker's topic tells you exactly what their company wants to be known for. After it, referencing the specific argument they made on stage cuts through the flood of generic congratulations, which is why post-session outreach converts better than almost any other trigger.
Example Signal Subtypes
Data Schema
Conference Speaker Signal Schema
Each conference speaker signal includes event metadata, topic classification, and full contact resolution.
{
"signal_id": "9d6f2c81-4a35-4e97-b208-1c5e8f3a7d46",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-05-04T09: 00: 00Z",
"association": "contact",
"contact": {
"name": "Sarah Chen",
"email": "s.chen@databricks.com", // match on email
"job_title": "VP of Product",
"linkedin_url": "linkedin.com/in/sarahchen-databricks" // or match on LinkedIn URL
},
"company": {
"name": "Databricks",
"domain": "databricks.com",
"linkedin_url": "linkedin.com/company/databricks",
"industries": ["Data Engineering", "Machine Learning", "Cloud Analytics"],
"employee_count_low": 5001,
"employee_count_high": 10000,
"description": "Unified data analytics and AI platform..."
},
"data": {
"conference_name": "Gartner Data & Analytics Summit 2026",
"conference_url": "https://www.gartner.com/en/conferences/na/data-analytics-us",
"conference_date": "2026-04-28",
"conference_end_date": "2026-05-01",
"conference_location": "Orlando, FL",
"conference_topics": ["Data Engineering", "AI/ML", "Analytics", "Data Governance"],
"conference_estimated_size": 5000,
"session_title": "From Notebook to Production: Closing the ML Deployment Gap",
"session_description": "How lakehouse architecture lets data teams move ML models from experimentation to production without tooling sprawl.",
"session_type": "keynote",
"session_track": "Data Engineering",
"session_recording_url": null,
"co_speakers": [],
"speaker_bio": "Sarah Chen is VP of Product at Databricks, leading product strategy for the Lakehouse platform.",
"relevance_score": 0.94, // 0.0-1.0; higher = more actionable for outreach
"contact_resolved": true
}
}- GCS Bucket
- gs://autobound-conference-speaker/
- Formats
- JSONL · Parquet
- Refresh
- Daily
Applications
What teams build with Conference Speaker Signals
03 documented applications
- 01
Post-Event Outreach While It's Fresh
Trigger outbound sequences the day after a prospect's session. Reference what they said, where you agreed, and what you'd add. Done well, this reads as a peer conversation, not a sales pitch.
- 02
Event-Based ABM Campaigns
When you know which of your target accounts have speakers at an upcoming conference, build a campaign around that event. Pre-conference awareness, day-of social engagement, post-conference personalized follow-up, all anchored to a real moment.
- 03
Competitive Intelligence
Track which conferences your competitors' customers are speaking at. An executive from one of your competitor's accounts presenting at a major industry event is actively building influence, and potentially open to competitive conversations.
Measured, Not Estimated
What's actually inside Conference Speaker 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 totalSeniority
full breakdown →Departments
full breakdown →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 Conference Speaker 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
Sarah Chen, VP of Product at Databricks, delivers a keynote at Gartner Data & Analytics Summit on ML pipeline deployment.
Action taken
Your enterprise AE receives the signal, reads the session abstract, and sends a follow-up email referencing the deployment gap argument she made.
Outcome
Sarah responds within a day, she's still in the post-event glow. Discovery call booked for the following week.
FAQ
Frequently Asked Questions
How do you identify conference speakers?
Are virtual conferences included?
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 12 signal subtypes with relevance scoring, confidence levels, and entity resolution.
You Receive
Structured JSONL delivered via your preferred method, updated on a daily 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 Conference Speaker Signals?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.