Data Deduplication
What is Data Deduplication?
Duplicates accumulate naturally — imports overlap, a prospect fills two forms, the same company has two divisions in the database. Without deduplication, every downstream metric is corrupted: lead counts inflate, conversion rates deflate, accounts get worked by two reps at once. Dedup goes beyond exact matches: real dedup needs fuzzy matching on name variations, normalized domains, phone-number canonicalization, and merge logic that decides which fields survive when two records combine. Modern dedup is increasingly continuous — agents catch potential duplicates at creation rather than fixing them in a quarterly cleanup. The hardest part is establishing the matching rules; once those are set, the mechanics are routine.
Why it matters
- Restores integrity to lead and account counts that duplicates inflate.
- Prevents the rep-collision problem where two SDRs work the same prospect simultaneously.
- Required before any meaningful identity resolution can happen.
Use cases
- Inbound-form dedup. New form submits matched against existing records before record creation.
- Quarterly cleanup. Full-database dedup run with rep review of edge cases.
- Pre-migration dedup. Duplicates removed before importing into a new CRM.
How turgo helps
turgo dedupes continuously using fuzzy matching, domain normalization, and configurable merge rules — and lets ops review merge candidates before final commit on ambiguous cases.
See turgo in action →