Overview
Collapse duplicates automatically using website, phone, name+address, and geo proximity rules to produce one clean record per business.
Problem
Raw listings are messy: duplicates, inconsistent formatting, missing fields, and slight name/address variations create wasted outreach and unreliable segmentation.
Solution
ProspectLayer normalizes and dedupes results into a canonical Prospect model with provenance (sources) and configurable strict/relaxed dedupe modes.
How it works
As results are saved, ProspectLayer normalizes phones, websites, and address components, then applies dedupe keys in order (website → phone → name+address → optional geo proximity threshold). Strict mode favors fewer duplicates; relaxed mode increases coverage. Lists reference canonical Prospects so the same business doesn’t fragment across workflows.
Who is this for
Expected outcomes
- Cleaner lists with fewer duplicates
- More reliable exports and downstream activation
Key metrics
Duplicate rate in saved lists
15 %
2 %
Prospects with normalized website/phone
55 %
95 %
Gallery
Downloads & templates
Security impact
- Canonical prospect records + source snapshots (short TTL where configured) · PII: business contact info
Compliance
- GDPR
- SOC2