Customer 360 Data Enrichment
Enriching CRM records with public web signals found through search APIs.
The problem
A CRM record built purely from form-submitted data is thin — a company name and a contact's title, with no context about company size, recent news, or the account's broader situation — and sales and success teams routinely spend time manually searching for this context before a call rather than having it surfaced automatically.
How the workflow is built
Per-account queries triggered on record creation or on a recurring refresh cycle pull recent news, company size signals, and leadership changes, mapped into structured CRM fields; a lightweight entity-resolution step confirms the search results actually correspond to the specific company in the record before writing anything back.
Example queries
"[company name]" recent news OR funding"[company name]" employee count OR headquarters"[contact name]" "[company name]" current role
Pitfalls to watch for
- Entity resolution is the load-bearing step here — writing enrichment data back to a CRM record based on a mismatched company (a name collision, a subsidiary confused with a parent) silently corrupts data that a sales team will then trust.
- Enrichment data goes stale at different rates for different fields (headcount changes slowly, a funding announcement is a point-in-time event, a role can change any week), so a single blanket refresh cadence across all fields wastes queries on slow-changing data and under-refreshes fast-changing data.
- Depending on jurisdiction, automatically enriching personal contact data from public sources raises privacy-regulation questions (particularly under GDPR-style frameworks), so this needs a compliance review specific to where the contacts are located, not a one-size-fits-all approach.