Data Enrichment
Also known as: Data Appending, Data Enhancement
The process of enhancing existing data by adding additional information from external sources. Data enrichment fills in missing contact details, firmographic information, and technographic data.
Context
Data enrichment fills in missing contact details, firmographic information, and technographic data. AI agents use enriched data to personalize outreach and prioritize leads.
Examples
- 1Adding company size and industry to lead records
- 2Appending direct dial phone numbers and verified emails
- 3Enriching CRM records with technographic data about tools used
Implementing Agents
AI agents that implement or utilize Data Enrichment:
Apollo.io
End-to-end B2B sales intelligence and engagement platform with 265M+ contacts, AI-powered research, and multi-channel outreach automation
Implements Data Enrichment as a core feature
Regie.ai
Generative AI platform for creating personalized sales content and automating outbound prospecting at scale
Implements Data Enrichment as a core feature
Cognism
GDPR-compliant B2B sales intelligence platform with phone-verified mobile numbers and intent data for European and global markets
Implements Data Enrichment as a core feature
Lusha
B2B contact and company data platform with browser extension for quick prospecting and CRM enrichment
Implements Data Enrichment as a core feature
LeadIQ
Sales prospecting platform with one-click capture, verified contact data, and AI-powered email personalization
Implements Data Enrichment as a core feature