glossary/Data Enrichment
glossary term
Definition
Data enrichment is filling in the missing data on a company or contact from external sources: firmographics, headcount, funding, tech stack, and contact details. It is what turns a bare name or domain into a record you can qualify, route, and personalize against.
You usually start with very little, a company name, a domain, maybe an email. Enrichment attaches the rest: employee count, revenue stage, location, industry, funding history, the tools they run, and verified contact details for the right people. That context is the raw material for every downstream decision, from ICP fit to scoring.
No single data provider is complete or right about everything. Waterfall enrichment queries providers in sequence, taking the first reliable answer for each field and falling back to the next source when one comes up empty. It costs more calls but produces far higher coverage and accuracy than trusting one vendor, which matters because everything downstream inherits the quality of this data.
Garbage in, garbage out. A score built on stale or wrong enrichment ranks the wrong accounts to the top and quietly wastes your reps' time. Clean, current enrichment is also part of a trustworthy CRM. It is unglamorous plumbing, and it decides whether the rest of the machine can be believed.
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The harder question
Knowing the concept is step one. Getting a working system shipped into your live stack, in weeks, is the job. That is what a fractional GTM engineer does: find the one lever, build the first working fix, hand you a system a hire can run.