How Inconsistent Address Formatting Fractures Your CRM (and How LocateIT Fixes It)
When businesses struggle with duplicate records in Salesforce, HubSpot, or enterprise ERP systems, the culprit is rarely identical typing. Instead, it is subtle formatting discrepancies: Avenue vs. Ave, variations in suite and apartment notations, or minor postal code errors.
Because standard deduplication algorithms rely on string-matching rules, these slight variations bypass filters, creating fragmented customer profiles, split billing records, and redundant communications sent to the exact same physical location.
LocateIT eliminates data fragmentation before it disrupts operations:
- Bulk Canadian Address Standardization: Ingests high-volume SQL, CSV, or database tables, standardizing street types, directional prefixes, and municipal boundaries against authoritative physical datasets.
- Deterministic Matching Enablement: Transforms messy inputs into uniform, canonical address strings, allowing CRM and MDM engines to surface and merge duplicate accounts instantly.
- Sub-Address Geocoding: Appends exact latitude and longitude coordinates, providing a secondary spatial layer to verify whether two records occupy the exact same physical footprint.
Available via Batch Engine for sweeping database remediation and RESTful API for real-time capture, LocateIT ensures your customer data remains unified, accurate, and actionable.
Ready to clean your customer database and eliminate split records?
👉 Explore LocateIT & Request a Sample Cleansing Test →
