Signal Database

Autobound's Signal Database gives you direct access to our complete library of B2B buying signals—delivered as structured data files to power your own applications, enrich your CRM, or fuel automated workflows.

What's Included

Metric	Coverage
Signal Types	350+ distinct signals
Contact Coverage	250M+ professionals
Company Coverage	50M+ companies
Refresh Frequency	Daily to weekly by signal type

Signal Categories

Our signals span multiple categories, each designed to surface buying intent and trigger timely outreach:

Work Experience — Job changes, promotions, work anniversaries
News & Events — Funding, M&A, product launches, leadership changes
Financial — Earnings, revenue trends, investor activity
Hiring Trends — Open roles by department, hiring velocity
Technographics — Tech stack changes, competitor adoption
Social & Content — LinkedIn posts, podcast mentions, YouTube appearances
Website Intelligence — Pricing page changes, new product pages, messaging shifts

API vs. Signal Database

Capability	Generate Insights API	Signal Database
Use Case	Real-time lookup for specific contacts	Bulk ingestion for your entire TAM
Delivery	JSON via REST API	Flat files (JSON/Parquet) via S3
Resolution	We resolve on request	Pre-resolved with identifiers for joining
Best For	Point-of-action enrichment	Powering your own intent engine

Common Use Cases

Power Your Intent Engine

Ingest signals directly into your platform to identify accounts showing buying intent. Filter by signal type, recency, and relevance to your ICP.

Enrich Your CRM

Append signal data to your existing contact and account records. Surface job changes, funding events, and hiring trends directly in Salesforce, HubSpot, or your data warehouse.

Build Automated Workflows

Trigger sequences, alerts, or routing rules based on signal events. When a champion changes jobs or a target account raises funding, act immediately.

Enhance Your Product

For sales tech platforms: embed Autobound signals into your product to give your users real-time intelligence without building the data infrastructure yourself.