The same person, entered three times
"Smith, John", "john smith" and "J. Smith" with the same email are one contact, and every campaign reaches them three times.
Duplicate contacts, mismatched company names and fields in five formats make a CRM hard to trust and harder to move. Karg finds the duplicates, standardizes the fields and documents every change before the data goes into its new home.
"Smith, John", "john smith" and "J. Smith" with the same email are one contact, and every campaign reaches them three times.
ACME Inc, Acme Incorporated and ACME split one account into three, so its history is scattered.
Phones with and without area codes, states spelled out or abbreviated, emails in capitals. Filters and imports miss records.
A new CRM copies every duplicate and broken field across unless they are fixed first.
Watch Karg clean it, applying what it is sure of and holding the rest for a person, or step through it yourself and make the uncertain calls.
Illustrative sample data, not a customer's records. .
Exact duplicate rows are removed automatically. Likely duplicates, the same person or company written differently, are grouped and sent to you with Karg's reasons, and nothing is removed until you approve it.
Names, emails, phone numbers, states and addresses are written one way across the whole file.
Variants of the same company map to one spelling, so each account's records line up.
Every change carries its reason and how sure Karg was, and the run's log lists each transformation, so you can check the work before the import.
Exactly what comes back depends on the data and on how you work with us. Every change is checked against a confidence threshold, and anything below it is decided by a person.
Entries from our field guide to messy data that cover these problems in detail.
Let our team do the work, or run the platform yourself. Both use the same cleaning engine.
Have Karg handle it
Send us your files and tell us what you need. Our team runs them through the same engine, checks the uncertain cases, and sends the data back clean.
Use Karg yourself
Upload or connect your data, answer a few questions, and review what Karg is unsure of. Your team stays in control of every change.