How to Export Leads to CSV for Your CRM

You've built your prospect list, the leads are scored and verified, and now you need to get them into your CRM where your sales team can work them. CSV (Comma-Separated Values) export is the universal bridge between lead generation platforms and CRMs. Every major CRM — Salesforce, HubSpot, Pipedrive, Zoho, Close — supports CSV import. Here's how to do it right.

What's in a Lead CSV File?

A well-structured CSV file contains one row per lead with columns for each data field. Typical columns include first name, last name, email address, phone number, job title, company name, industry, company size, and any scoring or status data. The first row contains column headers that map to fields in your CRM. Clean, consistent formatting in your CSV makes the import process smooth and error-free.

Exporting Leads from LeadFluxA

In LeadFluxA, exporting is straightforward. Navigate to your campaign, click the Export button, and the platform generates a CSV file containing all your leads sorted by AI score. The export includes all contact fields — name, verified email, phone, job title, seniority, department — plus company information like name, industry, size, revenue, and location. You'll receive a secure download link via email within moments.

The columns you receive depend on your subscription plan. Starter plans include basic contact and company fields. Pro plans add company domain, phone, LinkedIn, SIC codes, and full address details. Enterprise plans include everything plus contact LinkedIn profiles and location data.

Preparing Your CSV for CRM Import

Before importing, take a few minutes to prepare your file. Open the CSV in a spreadsheet application and review the column headers. Rename any headers to match your CRM's expected field names — for example, your CRM might expect "Company" instead of "Company Name" or "Title" instead of "Job Title." Remove any columns you don't need to keep the import clean. Check for special characters in company names or addresses that might cause parsing issues.

Importing into Salesforce

In Salesforce, go to the Leads tab and click Import. Select your CSV file, map each column to the corresponding Salesforce field, choose your lead assignment rules, and click Start Import. Salesforce processes the file and creates a new Lead record for each row. For large imports over fifty thousand records, use Salesforce Data Loader instead of the web import wizard for better performance and error handling.

Importing into HubSpot

HubSpot's import process is found under Contacts, then Import. Upload your CSV, select "Contacts" as the object type, and map your columns to HubSpot properties. HubSpot will automatically detect many common field names. For fields like "AI Score," you'll need to create a custom property first (Number type). HubSpot deduplicates by email address, so if a contact already exists, it updates the existing record rather than creating a duplicate.

Importing into Pipedrive

In Pipedrive, navigate to the main menu and select Import Data. Upload your CSV and map fields. Pipedrive supports importing contacts as People linked to Organizations. Map company fields to Organization properties and contact fields to Person properties. Pipedrive will automatically create the Organization if it doesn't exist and link the Person to it.

Post-Import Best Practices

After importing, verify the results. Check that the total imported count matches your CSV row count. Spot-check a few records to ensure fields mapped correctly. Create a saved view or list filtered to your import date so you can easily find the new leads. Tag or label them with the campaign name for tracking. If your CRM supports lead scoring, compare the CRM's score with the AI score from LeadFluxA to calibrate your systems.

The CSV export workflow takes minutes but sets your team up to work efficiently from a CRM they already know. No API integrations needed, no complex setup — just export, import, and start selling.