Technographic Data | Tech Stack Data | Global Coverage | 48000 Technologies | Diverse sources | ...

PredictLeads provides structured Tech Install Data that reveals which technologies companies use across their tech stack. This technographic dataset enables sales, marketing, investment, and analytics teams to identify technology adoption, detect stack changes, and build precise targeting models.

The dataset captures technology usage at the company-domain level and includes structured attributes designed for enrichment, segmentation, and automation workflows.

Core Attributes

- Company domain
- Technology name
- Technology ID
- Technology category (e.g. CRM, Marketing Automation, Database, CDN, Payment - Processing, Programming Language, etc.)
- Detection method (script tag, DNS record, IP range, cookie, job description reference)
- First seen date
- Last seen date
- Detection status (active / historical)
- Source URL (where applicable)
- Technology relationships and classification metadata

Technology installs are identified through:

- Website script and tag analysis
- DNS and infrastructure signals
- Cookie tracking
- IP range associations
- Structured parsing of job descriptions referencing required tools

Delivery & Integration

- APIs
- Flat Files
- Webhooks

It integrates easily with CRMs, data warehouses, reverse ETL tools, and GTM automation platforms.