Dedupe
Find and resolve duplicate Accounts and Contacts using defined matching logic.
Salesbroom fixes bad business data.
Duplicate records. Inconsistent, incomplete or poorly structured data.
Send us your spreadsheet or CSV. We scope the problem with you, define the rules, and return clean, consistent data.
Bad data, cleaned up
We resolve duplicates and standardize the values that remain using the rules established for your business.
What we do
Find and resolve duplicate Accounts and Contacts using defined matching logic.
Turn inconsistent company names, addresses, phones, contact fields and other data into a consistent structure.
The operating principle
Data cleaning is rarely just a find-and-replace problem.
What counts as a duplicate? Which value survives? How should entity types, addresses, phone numbers, names and titles be structured?
How it works
Every Salesbroom project includes a project manager. We begin with a phone call to understand the dataset, scope the work, identify exceptions, and define exactly what the finished file should look like.
Share a sample file or describe the project.
We review the data, scope the work, and define the dedupe or standardization rules.
The Salesbroom team applies the agreed rules with project-manager oversight and quality control.
We return the cleaned dataset in the agreed structure.
Common problems

Human accountability
Every project has a Salesbroom project manager responsible for scope, rules, communication, quality control and delivery. You do not have to manage individual data workers or explain the same problem repeatedly.
Salesbroom has been fixing business data problems since 2011.
Send us a sample or tell us what you're working with. We'll help determine the scope and provide an estimate for the project.