Enriching data
In short
Enriching data is the act of adding missing or updated information to records you already have, using a second source. A contact with only an email address, for example, might be enriched with a job title, company, and location.
This page covers the practice and workflow. Enrichment, as a concept, is the broader capability and the output; enriching data is the step-by-step work of deciding what to add, from where, and how to write it back safely.
A practical process
1. Decide what you need
List the fields that drive decisions: for example industry, employee count, job title, and region for routing and scoring. Skip fields nobody uses.
2. Audit what you have
Measure how many records are missing each field. This shows where enrichment will help most and gives you a baseline.
3. Pick sources and match keys
Records match on keys such as email, domain, or LinkedIn URL. Clean keys give better matches, so fix those first.
4. Write back with rules
Decide whether new data overwrites old values or only fills blanks. Protect fields that reps edit by hand.
5. Re-check regularly
Data changes. Schedule refreshes for fields that go stale, like titles.
What you can add
- Company fields: Industry, size, revenue range, location, and tech stack.
- Contact fields: Title, seniority, department, and verified email or phone.
- Context: Recent funding or hiring events that may change priority.
Example
Say a team has 2,000 leads, and half lack a job title. They enrich by email, fill only blank fields, and then route leads by seniority. Leads still missing a title go to a manual review queue rather than being guessed.
Common mistakes
- Overwriting good data: A blanket overwrite can replace correct values with worse ones.
- No baseline: Without before-and-after fill rates you cannot judge results.
- Enriching everything: Enrich the records you will act on, to control cost.
Enriching data FAQs
What does enriching data mean?
Enriching data means adding missing or updated details to records you already hold, using another source. For example, adding job title, company size, and industry to a contact that only has an email address.
How do you enrich data in your CRM?
Decide which fields you need, measure how many are missing, match records to a data source on a key like email or domain, and write results back with rules about overwriting. Then schedule refreshes for fields that change often.
What data can you enrich?
Common additions include company details such as industry, size, and location, and contact details such as title, seniority, and verified email or phone. Some teams also add context such as tech stack or recent funding.
What is the difference between enriching data and cleaning data?
Enriching adds new information to a record, while cleaning fixes or removes what is already wrong, such as duplicates and typos. Teams usually clean first so enrichment matches records correctly.
