You have an email and a name. From which company? What role? What sector, size, technology do they use? Without that data, you cannot segment or prioritise. Data enrichment fills those gaps automatically, turning a bare contact into an actionable profile.
What data enrichment is
Enrichment is the process of completing your records with additional attributes from external sources. You start from a minimal data point and add context: company, role, sector, size, technology, verified contact data.
Which attributes are added
- Firmographic: sector, size, revenue, company location.
- Contact: verified email and phone, role.
- Technological: which tools and platforms they use.
- Behavioural: intent and interaction signals.
What it is for
Enrichment is the basis of almost everything else:
- Segment better: you cannot target "large health companies" if you do not know size or sector.
- Score: lead scoring needs attributes to calculate fit.
- Personalise: a message that cites the customer context converts more.
- Clean your CRM: complete and correct half-filled data.
How to do it well
Good enrichment requires reliable sources, entity resolution (to avoid duplicates) and validation. It is not pasting data from anywhere: it is crossing several sources and keeping the right one. Funneld enriches records with dozens of attributes via AI and its provider network, validating each source before using it.
Enrichment by API
The most powerful way to apply it is by API: every time a lead enters or a form is filled, it is enriched instantly. That way your team always works with complete profiles, with no manual research.
- Enrichment completes your records with attributes from external sources.
- It is the basis of segmentation, scoring and personalisation.
- It requires reliable sources, entity resolution and validation.
Receive leads already enriched.
Our leads arrive with firmographic and intent context. Try them at no commitment.