The four failure modes of CRM data
- Duplicates. The same company under three names, each with partial history, each mis-crediting attribution.
- Ambiguous identity. Subsidiaries colliding with parents, renamed companies double-counted, dead domains ranked like live accounts.
- Decay. People change jobs, companies rebrand. B2B data rots at roughly 2.5% per month, compounding.
- Unscored inbound. New leads land raw, get routed by guesswork, and inherit all of the above.
A cleanup that only fixes #1 is a cosmetic project. We built our process to kill all four permanently.
Our process
- Resolve. Every record mapped to a canonical company identity. We have run this at 320,000-account scale with a 98%+ accuracy floor.
- Merge. Duplicates collapsed with full history preserved, not deleted.
- Enrich. Waterfall enrichment across providers with a validated coverage report, so you know exactly what got filled and from where.
- Score. A fit model built from your closed-won history, applied across the resolved universe.
- Persist. The critical step: resolution + scoring wired into the CRM itself, so every future inbound lead is matched and scored on arrival.
Works with
HubSpot, Salesforce, and Attio natively. Warehouse-first setups (BigQuery, Snowflake) supported for larger account universes.
Start small
The productized CRM Data Audit gives you a full data-quality scorecard and a ranked remediation plan in five business days. Or check the free CRM decay calculator to estimate what staleness costs you today.
