Intent Intelligence
Buyer Intent Signals
Company and contact-level buyer intent powered by 6B+ daily behavioral signals. 43,000+ topics with composite scoring and early/late stage detection across 21M+ companies.
Companies Monitored
Topics Available
Daily Behavioral Signals
Contact IDs
What Is Buyer Intent Data?
Buyer intent data captures the digital research behavior of companies and individuals as they evaluate solutions in your category. When employees at a target account start reading articles about sales engagement platforms, comparing vendors on G2, or downloading whitepapers on outbound automation, that research activity generates intent signals.
Autobound’s intent intelligence monitors 6B+ behavioral signals daily across 500K+ tracked domains, mapping research activity to 43,000+ topics organized into 26 categories and 364 subcategories. Every company receives a composite intent score (0-100) with early-stage and late-stage labels, so you know not just who is researching but how far along they are in the buying process.
Unlike standalone intent providers that only deliver account-level scores, Autobound provides both company-level and contact-level intent. Contact-level intent maps research behavior to 310M+ universal person IDs, revealing which individuals within an account are driving the evaluation. This enables buying group targeting: reaching the actual researchers, not just the account.
Intent data is most powerful when combined with other signal types. A company showing high intent for your category that also just raised funding, hired a new VP of Sales, and posted 15 SDR roles is a fundamentally different prospect than one showing intent alone. Autobound layers intent with 35+ other signal categories to build a complete picture of account readiness.
Example Signal Subtypes
Data Schema
Intent Signal Data Schema
Every intent signal includes topic classification, composite scoring, stage detection, and temporal trends. Here is a real example from our production database.
{
"signal_id": "d4e7a2f1-9c3b-4d8e-a156-8f2c3e4d5a6b",
"batch_id": "2026-05-01-00-00-00",
"signal_type": "web-intent",
"signal_subtype": "companyIntent",
"detected_at": "2026-04-22T14: 30: 00Z",
"association": "company",
"company": {
"name": "Snowflake",
"domain": "snowflake.com", // match on domain
"linkedin_url": "linkedin.com/company/snowflake", // or match on LinkedIn URL
"industries": ["Cloud Data Platform", "Data Warehousing"],
"employee_count_low": 6000,
"employee_count_high": 8000,
"description": "Cloud data platform for data warehousing and AI workloads..."
},
"contact": [],
"data": {
"topic": "Sales Engagement Platforms",
"topic_category": "Sales Technology",
"topic_subcategory": "Outbound Sales Tools",
"composite_score": 87,
"stage": "late",
"trend": "surging",
"weekly_score_history": [42, 55, 68, 79, 87],
"related_topics": ["Cold Email Software", "Sales Intelligence", "B2B Data Providers"],
"confidence": "high",
"first_detected": "2026-03-25T00: 00: 00Z",
"signal_strength": "strong"
}
}Use Cases
How Sales Teams Use Buyer Intent Signals
Account Prioritization
Score and rank your total addressable market by intent intensity. Focus your outbound team on the accounts actively researching your category right now, not last quarter’s static list.
Buying Group Targeting
With contact-level intent, identify the specific individuals driving vendor evaluation within target accounts. Reach the researchers, not just the org chart.
Campaign Timing
Trigger outbound sequences, ad campaigns, and SDR tasks the moment an account enters your intent category. Early-stage signals mean education content; late-stage signals mean direct sales outreach.
Competitive Displacement
Monitor when accounts show intent for competitor categories or specific competitor product names. Time your outreach to arrive during the evaluation window.
Churn Prevention
Track when your existing customers start researching competitor solutions. Intent spikes for categories that overlap with your product are early churn warnings.
See It in Action
Real-World Example
Signal Detected
Snowflake’s composite intent score for ‘Sales Engagement Platforms’ jumps from 42 to 87 over three weeks, with late-stage classification and related topic spikes in ‘Cold Email Software’ and ‘B2B Data Providers.’
Sales Action
Your SDR sees the surge, confirms 3 contacts at Acme are individually showing intent, and sends a signal-grounded email to the VP of Sales referencing their evaluation.
Result
Meeting booked within 48 hours. The VP confirms they’re actively replacing their current vendor and Autobound was the only outreach that arrived during the evaluation window.
FAQ
Frequently Asked Questions
How is buyer intent data collected?
What’s the difference between company-level and contact-level intent?
How many topics can I monitor?
What does the composite score (0-100) represent?
How does intent data combine with other Autobound signals?
How It Works
From Raw Data to Your Stack
Autobound ingests from multiple data sources, extracts structured signals with AI, and delivers them however your infrastructure needs.
Autobound Ingests
Raw data from multiple data sources is continuously collected and normalized across millions of sources.
AI Extracts & Scores
ML models extract 43,000+ topics 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/min
GCS Push
Automated delivery to your bucket
JSONL + Parquet
Enrich API
On-demand LLM-ranked insights
AI relevance scoring
Flat File
Bulk exports for data warehouses
CSV, JSON, ParquetReady to License
Buyer Intent Signals?
Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.