HubSpot’s import validator scans every column in your Excel file and requires headers for all columns, including completely empty ones. It treats empty columns as potential data fields rather than unused space.
Here’s how to gain granular control over which data gets exported and eliminate this validation issue entirely.
Control exactly which columns reach HubSpot using Coefficient
Coefficient solves this by treating your Excel file as raw material that can be refined before sending to HubSpot. You get complete control over which data gets exported, eliminating structural validation errors while maintaining data integrity.
How to make it work
Step 1. Import Excel data with selective column control.
Use Coefficient’s file connector to import your Excel data into your spreadsheet. This gives you the ability to choose exactly which columns to include in your HubSpot export, completely ignoring empty Excel columns.
Step 2. Identify and map only populated contact fields.
Review your imported data and select columns that contain actual contact information. Coefficient’s HubSpot connector allows you to map only these populated fields, eliminating the blank header validation issue entirely.
Step 3. Set up dynamic field selection for ongoing imports.
Configure your export to automatically detect and include only columns with contact data. This creates a flexible import process that adapts to your Excel file structure without requiring manual cleanup.
Step 4. Maintain your existing Excel workflow.
Keep using your current Excel templates and file structures. Coefficient handles the technical formatting during export, so empty columns become irrelevant to your HubSpot import success.
Work with data as-is, not as HubSpot requires
This approach eliminates the fundamental difference between how HubSpot and Coefficient handle Excel files. Empty columns stop being a problem when you can selectively export only relevant contact data. Try Coefficient to focus on contact data instead of file structure.