HubSpot dedup
Find HubSpot duplicates that the built-in dedupe missed.
HubSpot's deduplication tool keys on email. That catches one slice of duplicates and leaves the rest — typos, name variants, alias emails, the same person with their work and personal email, contact-to-company orphans, list-import drift. Export Contacts or Companies to CSV, run them through ListMatchGenie, re-import via HubSpot's CSV import. No app install, no Sales Hub Pro upsell.
The problem
HubSpot dedupes on email. Most of your real duplicates aren't email-only.
HubSpot's built-in dedupe identifies duplicates by exact email match. 'sarah.patel@globex.com' and 'spatel@globex.com' are two different people to it — and they're often the same person.
AI-powered name+email matching exists but requires Sales Hub Professional+ (~$100/seat/month) and still doesn't handle nickname pairs (Bob/Robert), phone-only matches, or company variations.
Contacts created from form submissions vs imports vs API ingestion drift — the same person ends up with three records over 18 months and HubSpot doesn't notice.
Marketing and sales create their own contact records on the same person. Email overlaps, but display names ('Sarah Patel' vs 'S. Patel') and roles drift.
Insycle and Dedupely (the popular HubSpot dedupe apps) start at ~$50–$200/mo and assume you want continuous in-CRM automation. For periodic cleanups, that's overkill.
The merge UI handles one pair at a time. With 5,000 suspected duplicates, that's a quarter of someone's quarter spent clicking 'merge'.
How the Genie solves it
Multi-field fuzzy matching that doesn't require a Sales Hub Pro upsell
Email + name + phone + company together
The engine scores all your fields together with calibrated weights. 'Sarah Patel / sarah.patel@globex.com / Globex Inc' matches 'S. Patel / spatel@globex.com / Globex' even though no single field is identical — confidence 0.92, send to merge.
Email alias detection built in
Recognizes common alias patterns on shared domains — 'sarah.patel@', 'spatel@', 'sarah@', 'sarah+work@' on the same domain raise the match score, not lower it.
Nickname database
Robert↔Bob, Catherine↔Cathy↔Kate, Michael↔Mike are interchangeable in scoring. Catches the duplicates Sales Hub Pro's AI matching also misses.
Bulk-accept by pattern
Cluster the review queue by reason — 'all email-alias dupes', 'all nickname pairs', 'all phone-format dupes'. Accept a hundred at a time after spot-checking five.
Round-trip with HubSpot's CSV import
Export Contacts or Companies to CSV (Reports → Export). Upload to LMG. Cleaned export comes back with original columns + merge metadata — re-import via HubSpot's standard CSV importer. No managed app, no OAuth, no admin approval.
Costs less than the dedupe apps
$0 free tier (up to 1,000 rows/month), $39 Starter, $99 Pro (up to 100K rows/run), $189 Business (up to 500K). Most HubSpot teams sit comfortably in Pro and pay $1,188/year — vs Insycle's mid-three-figure plans for ongoing automation you may not need.
Real example
A HubSpot Contacts export deduped
Same workflow for Contacts, Companies, Deals, and Tickets. Below: representative pairs from a typical export.
Source file
hubspot_contacts.csv · firstname, lastname, email, phone, company
Master file
(self-dedup — same file matched against itself)
Sarah Patel · sarah.patel@globex.com · 415-555-0188 · Globex Inc
S. Patel · spatel@globex.com · — · Globex
matchedSame surname, name initial matches, email alias on shared domain, company name variant — composite confidence 0.92, merge
Bob Tan · bob.tan@initech.co · — · Initech
Robert Tan · robert.tan@initech.co · 617-555-1234 · Initech
matchedNickname pair (Bob↔Robert), email alias pattern on shared domain, AccountName exact — confidence 0.96
Mike Thompson · mike@personal.com · 312-555-9912 · —
Michael Thompson · mthompson@acme.com · 312-555-9912 · ACME Corp
reviewNickname (Mike↔Michael), surname exact, phone exact — but emails are entirely different domains and the source row has no company. Likely the same person with a personal vs work email; send to review
Jen Lee · jen.lee@wayne.com · 555-0420 · Wayne Enterprises
(no match)
unmatchedSingle occurrence — kept as-is
Before and after
What changes when you use ListMatchGenie
Without ListMatchGenie
- Run HubSpot's built-in dedupe → catches the email-exact duplicates only. Reviewers report 30–60% of real duplicates survive depending on import history.
- Pay for Sales Hub Pro to unlock AI-powered name+email matching → still misses nicknames, phone-only matches, and company variants.
- Subscribe to Insycle or Dedupely at $50–$200+/mo for ongoing automation → great if you want continuous dedup, overkill for quarterly cleanups.
- Manually merge in HubSpot's UI → one pair at a time, no bulk-accept by pattern, no undo across a session.
With ListMatchGenie
- Export Contacts to CSV from a HubSpot report. Upload to ListMatchGenie. The Genie auto-detects schema and profiles every column.
- Get a review queue with confidence scores per cluster — typo dupes, alias-email dupes, nickname pairs, phone-only matches all surfaced with a 'why this matched' explanation.
- Bulk-accept high-confidence patterns in a single click; review low-confidence pairs one at a time. Reversible until export.
- Re-import the cleaned CSV via HubSpot's standard CSV importer. Original columns preserved, merge metadata in new columns. Save the match profile and re-run quarterly.
Let the Genie handle the grunt work.
Free tier is real. No card. No forms. Just upload your first list and see the Genie clean and match it in under a minute.
