Data Enrichment
Data enrichment is the process of automatically filling in missing or outdated contact and company details — like job title, company size, or phone number — from external data sources.
Last updated July 18, 2026
What data enrichment does
Data enrichment fills in the gaps on a contact or company record automatically. A form submission typically captures a name and email address; enrichment adds the rest — job title, company name, employee count, industry, LinkedIn URL, phone number — by matching that email or domain against external data sources and writing the results back to the record.
The core mechanic is a lookup-and-merge: the CRM sends an identifier (email, domain, or name) to a data provider, receives back a set of matched fields, and merges only the fields that are blank or stale, without overwriting data a rep already entered manually.
Example
A lead fills out a "request a demo" form with just a name and work email. Enrichment runs in the background and populates company name, industry, employee count, and job title before the sales rep even opens the record, so the rep starts the call already knowing who they're talking to.
Why it matters
Reps waste time manually searching LinkedIn and company websites to figure out who they're actually talking to before a call. Enrichment removes that step, and it also makes lead scoring and routing more accurate — a scoring model that weighs company size or industry can't work if those fields are empty for most leads.
Enrichment also keeps records from going stale. People change jobs and companies get acquired; a re-enrichment pass on existing records catches a title or company change that would otherwise sit wrong in the CRM indefinitely.
Where it runs in the funnel
Enrichment typically fires at two points: the moment a new lead or contact is created, and on a scheduled refresh across existing records (weekly or monthly) to catch changes. Some teams also trigger it manually on a single record before an important call.
What it doesn't fix
Enrichment adds missing fields — it doesn't merge duplicate records or correct malformed data already in the system. A contact with two separate records for the same person needs deduplication, not enrichment, and a phone number stored in the wrong field needs a data-cleaning pass rather than an enrichment lookup.