Duplicate Detection Rules Configuration

Detection Rules

Configure how duplicates are identified and weighted

Confidence Thresholds

Auto-Merge Threshold
95%
Review Required
75%
Minimum Detection
50%
False Positive Filter
30%

Company Name Matching

Exact Name Match
Identical company names (case insensitive)
40
Fuzzy Name Match
Similar names with 80%+ similarity
25
Legal Entity Variations
Inc, LLC, Corp variations of same base name
35

Contact Information

Phone Number Match
Exact phone number match (any format)
30
Email Domain Match
Same email domain across contacts
20
Website URL Match
Same website/domain
25

Address Matching

Exact Address Match
Identical street address
35
Same Building Different Suite
Same street address, different suite numbers
15
ZIP Code + City Match
Same ZIP code and city name
10

Business Data

Tax ID / EIN Match
Federal tax identification number
50
Industry Classification
Same NAICS or SIC code
5

Rule Testing

Test your rules with sample data

Sample Data Test

92% Match Confidence
High confidence match - Recommended for auto-merge
Legal Entity Variation:+35
Phone Number Match:+30
Exact Address Match:+35
Total Score:92

Rule Performance

94.2%
Accuracy Rate
2.1%
False Positives
156
Auto-Merges (7d)
23
Manual Reviews (7d)