What is Record Matching?
The process of identifying records across or within databases that refer to the same entity, even when data differs due to typos, formatting variations, or incomplete information.
Understanding the Details
Record matching (also called entity resolution) solves the problem of identifying duplicates and related records when data isn't identical. 'Daniel Smith at Acme' and 'Dan Smith at Acme Corp' are likely the same person, but simple exact-match comparisons miss this. Record matching uses fuzzy matching algorithms, probabilistic scoring, and machine learning to assess whether records represent the same entity. This is essential for deduplication, data enrichment (matching your records against provider databases), and account-level analytics (grouping contacts by company). The quality of matching directly impacts data quality: too aggressive and distinct records get merged; too conservative and duplicates persist.
How It Works in Practice
CRM deduplication
Record matching identifies 3,000 duplicate contacts by comparing names, emails, and company data with fuzzy matching, accounting for variations and typos.
Lead-to-account matching
New leads are matched to existing accounts using domain matching and company name similarity, ensuring leads route to the right account owner.
Cross-system reconciliation
Records from CRM, billing, and support are matched to create unified customer views despite different identifiers and naming conventions.
Why It Matters
Unmatched duplicates create wasted outreach, conflicting records, and inaccurate reporting. Effective matching is the foundation of clean, reliable data.
What People Often Get Wrong
Exact matching is sufficient. Actually, real-world data has too many variations for exact matching to catch most duplicates.
Automated matching is always accurate. Actually, matching algorithms need tuning and edge cases require human review.
Record matching only applies to contacts. Actually, companies, products, and transactions all benefit from entity resolution.
How We Handle Record Matching
We implement record matching solutions that balance precision with recall, using appropriate algorithms for your data characteristics and review workflows for edge cases.
Related Terms
Common Questions
Need Help With Record Matching?
If you'd like to discuss how record matching applies to your business, we're happy to explain further.