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Import Analytics gives you visibility into how users interact with the CSVbox importer, from opening the widget to completing a successful import. Use it to identify drop-offs, understand errors, and improve your data import experience.
This feature is available on Pro plans and above.

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What is Import Analytics?

Import Analytics tracks each importer session and shows how users move through the import flow:
  • File upload
  • Header selection
  • Column mapping
  • Data validation
  • Final submission
You can use this data to understand where users struggle and optimize your importer configuration.

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What can you track?

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Import funnel

See how many users reach each step of the import process:
  • Importer Opened
  • File Selected
  • File Parsed
  • Header Selected
  • Mapping Completed
  • Validation Completed
  • Submit Succeeded
This helps you quickly identify where users drop off.

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Completion rate

Measure how many users successfully complete the import compared to those who start it.

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Drop-offs

Understand where users abandon the process:
  • Before selecting a file
  • During header selection
  • During mapping
  • After validation
This helps pinpoint friction points in your flow.

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Time taken per step

Analyze how long users spend on each step:
  • Time to select file
  • Time to select header
  • Time to complete mapping
  • Time for validation
  • Total time to complete import

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Error insights

Identify the most common issues users face:
  • File parsing errors
  • Header selection issues
  • Mapping errors
  • Validation failures
  • Destination/API errors

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Session logs

View individual import sessions with details such as:
  • Start time
  • Final outcome (success, failed, incomplete)
  • Last step reached
  • Number of rows processed
  • Error counts
  • Total time taken
This is useful for debugging specific user issues.

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How to access Import Analytics

1

Open the dashboard

Go to your CSVbox dashboard.
2

Select your sheet

Select the sheet you want to analyze.
3

Open the Analytics tab

Open the Analytics tab.
You can filter data by date range to analyze recent or historical imports.

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Privacy and data handling

Import Analytics is designed to be privacy-safe. Analytics does not store:
  • Uploaded files
  • Row data or cell values
It only tracks:
  • Step-level events
  • Counts and durations
  • Error categories and codes

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How to use Import Analytics effectively

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Improve onboarding

If many users drop off early, consider:
  • Simplifying instructions
  • Providing sample files
  • Improving file format guidance

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Optimize header selection

If users spend too long selecting headers:
  • Ensure clean file templates
  • Improve header row detection
  • Add instructions for users

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Fix mapping issues

If mapping drop-offs are high:
  • Use clearer column names
  • Reduce required fields where possible
  • Enable better defaults

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Reduce validation failures

If validation errors are common:
  • Review validation rules
  • Provide better error messages
  • Offer clearer data requirements

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Debug failed imports

Use session logs to:
  • Inspect failed submissions
  • Identify API/destination issues
  • Reproduce and fix problems quickly

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Notes

  • Analytics data is aggregated per sheet.
  • Sessions are tracked automatically, with no setup required.
  • Abandoned sessions are detected after a period of inactivity.