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What is data enrichment?

Definition

Data enrichment is the process of adding missing details to records you already have, such as a company's size, industry and tools, or a contact's job title, email and phone. The details come from outside data providers and public sources. It turns a bare name or domain into a record you can sort, score and contact.

3 min read

Why it matters when you sell B2B

Most CRMs are full of half records: a name from a webinar, a domain from a form. Enrichment fills them in, so you can segment, route and reach out.

It sits underneath lead scoring and routing. Done badly, every step after it is wrong. Many teams use waterfall enrichment to raise coverage across several providers.

A worked example

Here is one invented record, before and after enrichment.

One record, enrichedExample

  • 01Before. A name and a company domain from a webinar sign-up.Bare
  • 02Company. Industry, about 400 staff, headquarters city.Firmographics
  • 03Tools. Runs a known CRM and a help desk tool.Technographics
  • 04Person. Job title, seniority and a verified work email.Contact
  • 05Still missing. Any reason they would buy now.Not enrichment
An invented example. Enrichment fills the first four rows. It cannot fill the fifth.

Row 5 is the gap enrichment cannot fill. Knowing a company's firmographics and tools tells you it fits. A reason to buy now takes a trigger event or real account intelligence.

Common mistakes

  • 1Enriching everything. Pay to enrich the records you will use, not every name you have ever collected.
  • 2Trusting one provider. Every provider has gaps and errors. Check a sample against another source.
  • 3Never refreshing. People change jobs and companies change size. Enriched data decays every month.
  • 4Overwriting good data with worse. Decide which source wins when two disagree, before you run the job.
  • 5Mistaking fields for insight. A complete record is not a reason to contact someone.

Before you buy enrichment

  1. List the fields you actually need.
  2. Test providers on 100 records where you know the answers.
  3. Measure accuracy, not just how many fields were filled.
  4. Plan how often to refresh.
  5. Decide which source wins when two disagree.

Related terms

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