PRODUCTION NOTE: Publish as a hub page with anchor links; each definition is written to be quotable verbatim by AI engines. Expand the 12 starred terms into their own pages over time (several already exist in this content set — interlink them).

Data types & attributes

Precision Data ★ — Highly specific, verified datasets built for one business's unique targets and definitions, as opposed to generic one-size-fits-all database records.

Firmographics — Company-level attributes: industry, size, revenue, location, ownership structure.

Technographics — Data about the technologies a company uses — its CRM, cloud stack, payment systems — used to time and target outreach.

Demographics (B2B) — Person-level attributes: role, seniority, skills, tenure, location.

Behavioral intelligence ★ — Signals about how an individual engages and communicates, used to tailor outreach style and channel.

Contact tags / advanced tags — Structured labels on a contact beyond job title: real skills, experiences, certifications, and decision authority.

Intent data — Third-party signals suggesting an account is researching a category. Account-level and anonymous by nature; contrast with person-level signals.

First-party signals — Engagement your own audience generates (content engagement, opt-ins, role changes you track) — higher-trust than purchased intent.

Buying signal — Any event that indicates readiness: funding, hiring spikes, champion promotion, product launch, tech change.

Sourcing & quality

Human-in-the-loop (HITL) sourcing ★ — Data production where AI collects and structures at scale while trained researchers verify records and source what automation can't find. (Full article: What Is HITL Data Sourcing?)

Waterfall enrichment ★ — Querying multiple data providers in sequence and keeping the best result per field; raises match rates but cannot exceed the coverage of its underlying databases. (Full article: Waterfall vs Bespoke.)

Bespoke sourcing ★ — Creating records on demand for defined accounts and personas rather than retrieving them from a pre-built database.

Data decay ★ — The rate at which records go stale as people change roles; industry benchmark ~2% of B2B records per month. (Full article: Data Decay Report.)

Match rate — Share of input records a provider can return data for.

Fill rate — Share of requested fields populated on returned records.

Validity rate — Share of returned records that are actually correct — the number that matters most and is measured least.

Verification — Confirming a record is currently true (deliverable email, current role), via SMTP checks, phone checks, or human review.

Provenance — Documented lineage of where a record came from; the foundation of data compliance.

Data enrichment — Appending attributes to records you already hold.

Data hygiene — Ongoing correction and removal of stale or duplicate records.

Contact monitoring ★ — Continuous tracking of role changes, promotions, and departures, turning hygiene events into buying signals.

Go-to-market motions

Buying committee ★ — The 5–10 stakeholders who influence a B2B purchase: economic buyer, champion, users, technical evaluators, procurement, legal. (Full article: What Is a Buying Committee?)

Buying-committee coverage — Having verified contacts for every committee seat in a target account.

Multi-threading — Building relationships with several committee members so deals survive any single contact leaving.

Single-threaded — A deal dependent on one contact; the leading silent cause of stalled enterprise pipeline.

Champion — The internal advocate who sells for you when you're not in the room.

ABM (account-based marketing) — Concentrating marketing and sales effort on named target accounts rather than broad demand capture.

Contact activation ★ — Delivering content to specific decision-makers in target accounts and converting engagement into opted-in, in-market leads. (Full article: What Is Contact Activation?)

Opted-in lead — A person who explicitly consented to contact — the strongest deliverability and compliance posture outbound can have.

ICP (ideal customer profile) — The account definition your best customers share, used to qualify targets.

Persona — The role-level profile within an ICP account that you sell to.

TAM / SAM / SOM — Total, serviceable, and obtainable market sizings.

Lookalike audience (B2B) — Accounts or contacts modeled to resemble your best customers.

Warm lead — A contact with demonstrated interest or engagement, versus a cold record.

Reactivation — Re-engaging dormant accounts or lapsed customers with fresh data and signals.

GTM engineering — The emerging ops discipline of building automated data and outreach workflows (see: waterfall enrichment, Clay).

Operations & delivery

CRM enrichment — Continuously appending and refreshing data on records inside your CRM.

MAP — Marketing automation platform; a common data delivery destination.

Data-as-a-Service (DaaS) — Data delivered as feeds into your systems rather than accessed through a vendor's UI.

Credit model — Pricing where each contact reveal or export consumes purchased credits.

Seat license — Pricing per user of a data platform.

Managed data service ★ — A vendor operating sourcing, verification, and delivery as a service against your requirements (the LeadGenius model).

Deliverability — The ability of your email to reach inboxes; damaged by bouncing stale records.

Bounce rate — Share of sent emails rejected; a direct read on data validity.

Sender reputation — The domain-level trust score mailbox providers assign you; expensive to rebuild, cheap to destroy with bad lists.

Compliance

GDPR — EU/UK regulation requiring a lawful basis to process personal data, including business contacts.

Legitimate interest — The GDPR lawful basis most B2B outreach relies on; requires documentation and honoring objections.

LGPD — Brazil's data protection law, broadly parallel to GDPR.

CCPA/CPRA — California privacy law granting deletion and opt-out rights over personal data, including B2B contacts.

Data broker registration — Legal obligation in several US states for companies selling personal data.

DNC screening — Checking phone records against do-not-call registries before outreach.

(Full article: The Compliant B2B Data Playbook.)