Check email syntax (RFC 5322), phone format, URL validity. Reject malformed entries.
Remove names extracted from navigation menus, headers, and footers.
Detect and remove social media handles (@company) misidentified as emails.
Remove buttons, links, and UI text captured as contact titles.
Flag info@, admin@, support@, sales@, noreply@, no-reply@ addresses.
Remove contacts from aggregator/directory domains (18+ filtered).
Catch John Doe, Test User, Example Name, and other placeholder patterns.
Fuzzy dedup across extraction sources. Merge duplicates by name + domain matching.
Score each surviving contact 0-100 based on source reliability and data quality.
Classify into HIGH/MEDIUM/LOW/SKIP based on composite confidence score.
Remove junk contacts after web scraping before adding to CRM or running email campaigns.
Periodically validate existing CRM contacts to remove stale, duplicate, and low-quality entries.
Validate and clean purchased lead lists before importing into your database.
Clean and score contacts before outbound campaigns to maximize deliverability and response rates.
Evaluate data vendor quality by running their output through the validation pipeline.
Clean and dedup data from multiple sources before running the merge engine.
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