DitLead
guide

Prepare a CSV for upload

Clean column names, emails, names, companies, and custom fields before import.

6 min read

Before you start

  • Use this guide when clean column names, emails, names, companies, and custom fields before import.
  • Start with a small, reviewable example before applying the workflow broadly.
  • Confirm the required data, accounts, credits, and permissions are available before you begin.

Recommended workflow

Part 1

Clarify the goal

Write down the outcome, audience, owner, and success criteria before changing data or launching a workflow.

Part 2

Prepare the required inputs

Confirm the needed lists, connected accounts, permissions, credits, fields, templates, or source URLs are ready.

Part 3

Complete the workflow in a small pass

Clean column names, emails, names, companies, and custom fields before import.

Part 4

Review the result

Check the saved records, validation state, campaign readiness, or reporting output before using the result elsewhere.

What to do next

  • Apply the workflow to a small sample before scaling it across a full list, campaign, or workspace.
  • Use the related guides below for the adjacent setup, validation, or troubleshooting steps.

FAQ

Who should use prepare a csv for upload?

Use this guide when you need to understand or complete this workflow inside Lists, contacts, and CRM data. It focuses on the product steps users actually take in DitLead.

What should I check before moving on?

Confirm the saved record, selected audience, connected account, validation state, or result shown in DitLead before using it in another workflow.

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Start with a focused ICP, then use Lead Finder or LinkedIn extraction to create a cleaner audience.

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