Datagma
Datagma enriches contact and account data with a focus on GDPR compliance and EU data coverage. It is the go-to option for European teams or global teams that prioritize privacy compliance. The data quality is good but the provider breadth is narrower than Clay.
Official site ↗Why it ranks here
Situational pick for teams that need GDPR-compliant enrichment or strong EU coverage. The compliance rigor is real. It does not match Clay or FullEnrich on provider breadth or workflow features.
Where it sits
Datagma stands out on GDPR compliance and EU data quality, though Clay provides broader provider coverage and workflow features. For EU prospect enrichment or strict privacy requirements, Datagma addresses the need directly. When compliance is not a constraint, alternatives offer more features.
How GTM Engineering teams use it
European marketing and sales teams use Datagma to enrich prospect lists without violating GDPR. They upload contacts, Datagma enriches from compliant sources, and they export to their CRM.
In-depth notes
Credit-based pricing. The GDPR compliance is the main differentiator; if that is not a priority, other tools offer more features. The provider network is smaller than Clay or FullEnrich but vetted for compliance. Best for EU-focused teams or privacy-first organizations.
Best for
GDPR-compliant enrichment with strong EU coverage
Avoid if
You need the broadest provider coverage or advanced workflow features
The rest of Orchestration & enrichment
Learning guide
Setup
Sign up, verify your GDPR compliance requirements, and upload a test list of EU contacts to confirm data sources meet your legal standards.
First thing to build
Enrich 100 EU prospects with emails and firmographics, verify that all data sources are GDPR-compliant, and load the results into your CRM.
What actually matters
- Enable GDPR consent tracking for each enriched contact
- Filter data sources to only those with explicit EU compliance
- Set up audit logs for data provenance
Watch out
Teams assume GDPR compliance is automatic and skip verifying data source documentation, risking violations.