How to Prepare Lead Data for a Clean CRM Import

Avoid duplicates, broken fields and messy records. A practical checklist for importing lead lists into your CRM.

Why imports go wrong

Most import problems are preventable. Columns do not match CRM fields, values use inconsistent formats, duplicates already exist in the system, and required fields are empty. The result is cleanup work that cancels the time saved by building the list.

Start with field mapping

Before the data is finalised, list your CRM's fields and decide which column maps to which. Note required fields, picklist values such as industry options, and length limits. Name columns to match, so the import tool can map them automatically.

Standardise formats

• Use one format for country and state names
• Write phone numbers in international format
• Handle legal suffixes in company names the same way
• Store websites as plain domains or full URLs, not a mix
• Use controlled values for industry and size bands

Handle duplicates before import

Compare the new list against existing accounts and contacts, using the website domain as the main key for companies and the email address for people. Decide the rule in advance: skip, update or merge. Importing without this check is the most common reason CRMs fill with duplicate accounts.

Test with a small file

Import 20 to 50 records first. Check that fields landed in the right places, that owners and lead sources were set, and that no required values were rejected. Fix the template, then import the full list.

Record the source

Add a lead source and an import date to each record. Later you can measure which lists produced meetings, and you will know where each record came from if someone asks.