How to View and Analyze Previous Imports in Hubspot

Managing clean CRM data is easier when you know how to review your past imports in Hubspot. This guide walks you step by step through finding previous imports, analyzing results, downloading error files, and keeping your database accurate after every upload.

Where to Find Previous Imports in Hubspot

Every file you upload is stored in an import history area inside your CRM settings. From there, you can check the status of each import, see how many records were created or updated, and drill into any errors.

Open the Hubspot Import Tool

Log in to your Hubspot account.
In the main navigation bar, go to Contacts, Companies, Deals, or the object you imported.
Click the Import button, or open the main settings menu and find the import section, depending on your account layout.
Select the Imports tab to see the full history of your uploaded files.

The imports dashboard lists every file import, including CSV uploads, Excel sheets, and other object imports that were processed through the Hubspot interface.

Understanding the Hubspot Import History Screen

The import history screen gives you a detailed overview of all your uploads. You can identify the state of each job and quickly understand its impact on your data.

Key Columns in Import History

Import name: The label you gave the file or the default name if you did not edit it.
Date and time: When the import was processed by Hubspot.
Owner or user: The account that initiated the import.
Status: Whether the job is Completed, Processing, Canceled, or Failed.
Records summary: Metrics such as created records, updated records, and failed rows.

Use these details to identify which imports changed large volumes of data or introduced issues that need cleanup.

How to Analyze an Individual Hubspot Import

Each line in the history is clickable, opening a detailed view with performance statistics and error information.

Open an Import Detail View

On the import history list, hover over the import you want to inspect.
Click the name of the import to open its detail view.

Inside the detail view, you will see totals for records created, updated, and failed, plus links to export error details when they exist.

Review Summary Metrics

In the individual import view, focus on these metrics to understand what happened:

Total rows processed: How many lines from your source file were read by Hubspot.
Records created: New contacts, companies, deals, tickets, or custom objects that did not exist before.
Records updated: Existing records that were matched and updated using your selected unique identifier.
Rows with errors: File lines that Hubspot could not process.

If error counts are high, prioritize checking the error file so you can correct your source spreadsheet or fix properties in the CRM.

Downloading Error Files From Hubspot Imports

When an import completes with issues, the tool can generate an error file that pinpoints exactly which rows failed and why.

How to Download an Error File

Open the detailed view for the relevant import.
Look for a link or button labeled something like Download errors or Download error file.
Click to download a CSV containing only problematic rows.

The error CSV will include columns for your original data along with Hubspot-specific error messages. Common reasons for failure include:

Missing required properties such as email or deal name.
Incorrect data formats, for example, invalid date values or currency formats.
Invalid option values for dropdown or multiple checkbox properties.
Duplicate unique identifiers where Hubspot cannot safely match a record.

Correct the file based on the messages, remove fixed rows if needed, and re-import the data for a clean result.

Managing Failed or Canceled Hubspot Imports

Sometimes an import is interrupted, canceled, or fails completely. You can still review these attempts and decide what to do next.

Identify Failed or Canceled Jobs

In the main import history list, filter or visually scan for statuses such as Failed or Canceled.
Open each one to see whether any records were partially processed.

If no rows were processed, you can safely repeat the upload after fixing the source file. If some rows were created or updated before the failure, examine the partial results carefully in your CRM and in the error file.

Best Practices After a Failed Import

Document the failed attempt so your team knows what happened.
Download and review error details immediately before the file expires.
Back up critical data in your CRM if you are unsure about the impact.
Run a small test import with a few rows after corrections to confirm your mapping is correct.

Improving Future Hubspot Imports

Consistently reviewing import history helps you streamline future uploads and protect data quality.

Prepare Your Files Carefully

Use clear column headings that map directly to CRM properties.
Include a reliable unique identifier such as email or record ID.
Clean spreadsheets for duplicates and format issues before you upload.
Align dropdown and multi-select values with your existing CRM options.

Use Import History as a QA Tool

After every major upload, return to the import history view to perform a quick quality check:

Confirm the total number of processed rows matches your file.
Validate that the created and updated record counts align with expectations.
Download any error files and fix problems immediately.
Spot large imports that might have changed critical lifecycle stages, ownership, or revenue data.

By treating the Hubspot import dashboard as an ongoing QA log, you reduce the risk of unnoticed data issues.

Additional Resources

For a deeper technical breakdown of the import process and options, review the official documentation here: Hubspot import history documentation.

If you want expert help designing scalable import workflows, data governance rules, or CRM automation, you can also visit Consultevo for consulting services and implementation support.

With a clear understanding of import history, detailed error reports, and consistent review habits, you can use Hubspot imports confidently while maintaining accurate, reliable CRM data over time.

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