CRM Data Hygiene: Import, Export, Merge Duplicates & Keep Your Database Clean

You imported 5,000 contacts from your old system. Great. Except now you have 1,200 duplicates because some records had "John Smith" and others had "john smith" and a few had "J. Smith" — and they are all the same person. Your sales team is sending triple emails to the same people. Your reports show inflated contact counts. Your pipeline has duplicate deals from duplicate contacts. Dirty data is not a minor inconvenience — studies suggest it costs businesses 15-25% of revenue through wasted effort, missed opportunities, and bad decisions based on wrong numbers.

Import Done Right

Before you import a single row, prepare your data. Standardize column headers to match your CRM fields. Remove blank rows. Format dates consistently (YYYY-MM-DD is safest). Normalize phone numbers (remove spaces, add country codes). Clean company names (decide: is it "First Bank" or "First Bank of Nigeria PLC" — pick one format). The import wizard lets you map CSV columns to CRM fields, set a record owner, and choose what happens with duplicates: skip, update existing, or create new records. Use the "update existing" option when importing updated data for records that already exist.

Finding and Merging Duplicates

The deduplication tool scans your module for potential duplicates based on matching fields — email address, phone number, company name, or a combination. It presents matched pairs side by side, showing you exactly which fields differ. For each pair, you choose the master record (the one to keep) and the system merges all activities, deals, notes, and linked records from the duplicate into the master. The duplicate is then deleted. Run deduplication after every large import and periodically (quarterly is a good cadence) on your entire database. Prevention is better than cure: set up duplicate detection rules that alert users when they are creating a record that may already exist.

Export for Analysis and Backup

Export any module data to CSV or Excel with filters applied. Need all leads from Q1 with a lead source of "webform"? Apply the filter, export. Need a list of all contacts with email addresses for a third-party email tool? Filter for "email is not empty" and export. Exports run asynchronously for large datasets — start the export, continue working, and download when ready. Combine with scheduled reports for regular data extracts that arrive in your inbox automatically. For data backup, periodic full exports of critical modules ensure you always have a local copy of your business data.

Ongoing Data Hygiene Practices

Good data hygiene is a habit, not a one-time project. Set validation rules on required fields so incomplete records cannot be saved. Use picklists instead of free text wherever possible to enforce consistency. Create a saved view for "incomplete records" (missing email, missing phone, missing company) and assign cleanup tasks weekly. Review and archive inactive records annually — contacts who have not engaged in 2+ years may be cluttering your database and skewing analytics. The ROI of clean data shows up everywhere: more accurate reports, better segmentation, higher email deliverability, and a sales team that trusts the CRM instead of keeping their own spreadsheet "just in case."