Landbase
Toolkit · Enrich
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T5 · Tool

Enrich

Attaches Landbase's full attribute pack — department headcount, technographic adoption, hiring activity, leadership changes, financial signals — to any matched entity. Thin record in, rich record out.

Examples

How customers use it

01
Tiering an outbound list
Enrich 8,000 CRM accounts with sales-team headcount, technographic adoption, hiring velocity, and recent leadership changes. The list can then be tiered by RevOps team size × Salesforce adoption × hiring trend in a single query.
02
Prioritizing named accounts
Rank named accounts by buying-signal strength for an AE territory review. Enrich attaches funding history, executive churn, product-launch signals, and department growth so the AE walks in with a defensible priority list.
03
Routing inbound leads in seconds
Receive a form fill with only an email address and a company name. Enrich attaches the full attribute pack within seconds so routing rules fire — correct rep, correct tier, correct play — before the lead goes cold.
04
Refreshing a stale CRM book
Inherit a CRM where 40% of records are 18+ months old. After Match, Enrich attaches current-truth attributes across the entire book so reps stop calling into an outdated picture of the world.
Pairs with
T4Match T6AI Qualification T8Advanced Dataset Generator T1Semantic Search
Found in
CRM Refresh TAM Mapping Always-On Lists
Under the hood+
How it's used

Critical for CRM enrichment, prospect-list tiering and scoring, and developing a deeper perspective on each account. Almost always the second step after Match — and the precondition for AI Qualification to operate effectively (the agent needs something substantive to reason over).

Why it matters

Field coverage is the differentiator. Department-level headcount, for example, is a Landbase-specific signal that downstream scoring depends on — and that no off-the-shelf source carries.

How it works
  • Attribute pack — department-level headcount, technographic adoption, hiring activity, leadership changes, financial signals, locations, regulatory identifiers.
  • Per-field freshness — each attribute carries its own decay rate so we know what's still trustworthy.
  • Source provenance — attached to every field; data is auditable end-to-end.
  • Custom attributes — engagement-specific fields can be layered on top of the standard pack.