Salmon Data Glossary
Clear, practitioner-grade definitions of the B2B data, enrichment, identity resolution, and verification terms that matter — and how real-time research changes each one.
Static databases and quarterly refreshes made a lot of these problems worse. Each entry explains the concept plainly, then how Salmon approaches it differently.
Buying Signals
Observable events that indicate a company is likely to buy soon — and how to detect them in real time.
Contact Enrichment
Adding verified email, phone, title, company, and LinkedIn to incomplete contact records.
CRM Data Decay
The gradual loss of CRM accuracy — 30–40% of B2B data goes stale every year. Causes, costs, and fixes.
Data Enrichment
Enhancing raw data with additional information from external sources, and why real-time beats static.
Data Hygiene
The ongoing process of keeping business data clean, accurate, and usable — not a one-time cleanup.
Data Quality
How well data serves its purpose across accuracy, completeness, timeliness, consistency, and uniqueness.
Duplicate Detection
Identifying and resolving redundant records — and why AI detection outperforms rule-based matching.
Entity Resolution
Determining whether multiple records refer to the same real-world entity across systems.
Firmographic Data
Organizational characteristics — revenue, headcount, industry, location, funding, and structure.
Identity Resolution
Matching and linking data points into a unified profile of a person or organization across systems.
KYC (Know Your Customer)
Verifying a customer's identity before and during the relationship — and how real-time cuts friction.
Real-Time Verification
Checking data accuracy at the point of query using live sources, not cached databases.
Record Matching
Comparing records to decide whether they refer to the same entity — exact, fuzzy, and ML-based.
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