How to Import Contacts to Your CRM (Step by Step)

Why Your CRM Import Matters

Migrating your contacts into a CRM is one of the most important steps in your CRM setup — and one of the most underestimated. A clean, well-organized import sets the foundation for everything that follows: sales outreach, reporting, email campaigns, and customer management. A messy import, on the other hand, poisons your data from day one.

Over 30% of CRM data becomes outdated or inaccurate within a year. If you start with dirty data, that number is even worse. Duplicate records, missing fields, and inconsistent formatting lead to wasted time, embarrassing outreach errors, and unreliable reports.

The good news is that a thoughtful import process is not difficult — it just requires some preparation. This step-by-step guide will walk you through the entire process, from pre-import cleanup to post-import verification.

Step 1: Audit Your Existing Data

Before you touch your CRM, take stock of where your contact data currently lives and what condition it is in.

Common Data Sources

Spreadsheets — Google Sheets, Excel files, or CSV exports
Old CRM — Your previous CRM system, if you are migrating
Email accounts — Gmail or Outlook contacts
Marketing tools — Email marketing platforms, form submission databases
Business card scanners — Apps like CamCard or HubSpot card scanner
Manual lists — Notes, documents, and other informal records

Questions to Ask During Your Audit

How many total contacts do you have across all sources?
How much overlap exists between sources?
What fields are available in each source (name, email, phone, company, etc.)?
When was each source last updated?
Are there contacts that should not be imported (old leads, competitors, personal contacts)?

Create a list of every data source and estimate the number of records in each. This gives you a clear picture of the scope of your import.

Step 2: Clean Your Data Before Importing

This is the most important step — and the one most people skip. Cleaning your data before importing saves you hours of work fixing problems inside the CRM later.

Remove Duplicates

Duplicates are the most common data quality issue. When you have the same contact in multiple sources, you will end up with two or three records for one person in your CRM.

To deduplicate:

Combine all sources into a single spreadsheet
Sort by email address (the most reliable unique identifier)
Use a duplicate detection formula or tool to flag matches
For duplicates, keep the record with the most complete and recent information
Delete or merge the extras

Standardize Formatting

Inconsistent data formatting causes problems with filtering, searching, and reporting. Standardize these fields before importing:

Names — Consistent capitalization (John Smith, not john smith or JOHN SMITH). Separate first name and last name into different columns
Phone numbers — Choose one format and apply it to every record (e.g., +1-555-123-4567)
Addresses — Use consistent abbreviations (St. vs Street, Apt. vs Apartment). Separate city, state, and postal code into distinct fields
Company names — Decide whether to use "Inc." or "Incorporated," "Co." or "Company," and apply consistently
Email addresses — Lowercase all email addresses. Remove any with obvious typos or invalid formats

Remove Junk Records

Not every contact in your old data deserves a spot in your new CRM. Remove:

Bounced emails — Addresses that have previously returned undeliverable
Unsubscribed contacts — Respect previous opt-outs
Incomplete records — Contacts with no email and no phone number are rarely useful
Test records — Sample or test entries from your old system
Competitors — Unless you track them intentionally, competitor contacts add noise

Enrich Missing Data

For high-value contacts with incomplete records, take the time to fill in missing data:

Look up their current company and title on LinkedIn
Verify email addresses using a validation tool
Add missing phone numbers from company websites or email signatures
Note the original source of each contact for attribution tracking

Step 3: Prepare Your CSV File

Most CRM platforms import data from CSV (comma-separated values) files. Preparing your CSV correctly prevents import errors and ensures your data lands in the right fields.

CSV Formatting Rules

One row per contact — Each row should represent a single unique person
One column per field — Do not combine multiple pieces of information in one column
Header row required — The first row should contain column names that clearly describe each field
UTF-8 encoding — Save your file with UTF-8 encoding to preserve special characters and accented names
No merged cells — Remove any merged cells from your spreadsheet before saving as CSV
Consistent date formats — Use YYYY-MM-DD or MM/DD/YYYY consistently. Do not mix formats

Recommended Column Structure

At minimum, include these columns:

First Name
Last Name
Email
Phone
Company
Job Title
Address (or separate City, State, Postal Code columns)
Lead Source
Notes

Optional but Valuable Columns

LinkedIn URL
Website
Industry
Annual Revenue
Last Contacted Date
Tags or Categories
Custom fields specific to your business

Step 4: Map Your Fields

Field mapping is the process of telling your CRM which column in your CSV corresponds to which field in the CRM database. This is where many imports go wrong.

Common Mapping Mistakes

Unmapped columns — If you do not map a column, that data will not be imported. Double-check that every important column has a corresponding CRM field
Incorrect mappings — Mapping "Company Name" to the "Last Name" field is an easy mistake when doing it quickly. Review every mapping before proceeding
Missing custom fields — If your CSV has data that does not match a default CRM field (e.g., "Customer Segment" or "Contract Start Date"), create custom fields in your CRM before importing
Truncated data — Some CRM fields have character limits. If your Notes column contains long entries, check that the CRM field can accommodate them

Before You Map

Review your CRM default fields and note which ones match your CSV columns
Create any custom fields you will need
Decide how to handle fields that exist in your CSV but have no CRM equivalent — import to a Notes field, create a custom field, or skip

Step 5: Run a Test Import

Never import your entire database on the first attempt. Run a test with a small sample first.

How to Test

Create a test CSV with 10 to 20 representative records. Include records with edge cases: long names, international phone numbers, special characters, and missing fields
Import the test file and review every record in the CRM
Check that all fields are mapped correctly and data appears as expected
Verify that no duplicates were created
Delete the test records and proceed with your full import only after everything looks right

What to Look For

Are names displaying correctly (proper capitalization, no truncation)?
Are phone numbers formatted consistently?
Did all custom fields populate?
Are notes and long text fields complete?
Do date fields show the correct dates?

Step 6: Import and Verify

Once your test import is successful, you are ready to import the full dataset.

Import Day Checklist

Make a backup copy of your final, clean CSV before importing
Choose the correct import settings (skip duplicates vs. update duplicates vs. create duplicates)
Start the import and monitor for errors
Review the import summary — most CRMs will report how many records were created, updated, skipped, and errored
Investigate any errored records. Common causes include invalid email formats, exceeding field character limits, and encoding issues

Post-Import Verification

After the import completes, run these checks:

Record count — Does the number of CRM records match what you expected?
Spot check 10 to 15 records — Open random records and verify that every field is accurate
Test search and filtering — Can you search by name, email, and company and find the right records?
Check for duplicates — Run a duplicate detection scan to catch any that slipped through
Verify tags and categories — If you imported tags, make sure they are applied correctly

Maintaining Data Quality After Import

A successful import is just the beginning. Without ongoing data hygiene practices, your CRM will degrade over time.

Ongoing Best Practices

Deduplicate regularly — Run duplicate detection monthly or quarterly
Validate email addresses — Use email verification before major campaigns. Remove hard bounces promptly
Standardize data entry — Create guidelines for how new contacts should be entered. Use dropdown fields and required fields to enforce consistency
Archive inactive contacts — Contacts who have not engaged in 12 or more months should be archived, not deleted. This keeps your active database clean while preserving history
Sync your email — Two-way email sync ensures that new contacts from email conversations are automatically captured, and existing records are kept up to date
Assign ownership — Every contact should have an owner. Unowned contacts are nobody's responsibility, and they rot

Data Quality Metrics to Track

Completeness rate — What percentage of records have all required fields filled in?
Duplicate rate — How many duplicate records exist per 1,000 contacts?
Bounce rate — What percentage of emails are bouncing? A rate above 2% signals data decay
Stale record rate — What percentage of records have not been updated in 6 or more months?

How TactDrive Helps

TactDrive makes importing and managing your contacts straightforward from day one:

CSV import with intuitive field mapping and duplicate detection
Custom fields that let you bring in every piece of data that matters to your business
Two-way Gmail and Outlook sync that automatically captures new contacts from email conversations
Contact and account management with tags, categories, and interaction history
Activity tracking that logs every email, call, and meeting to keep records current
Duplicate detection to keep your database clean as it grows

Stop wrestling with messy data. Start your free TactDrive trial and build a contact database you can trust.