Import Analytics

Get visibility into how users interact with CSVbox importer—from opening the widget to completing a successful import. Identify drop-offs, understand errors, and improve your data import experience.

Note: This feature is available on Pro plans and above.

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.

What can you track?

1. 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.

2. Completion Rate

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

3. 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.

4. 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

5. Error Insights

Identify the most common issues users face:

• File parsing errors

• Header selection issues

• Mapping errors

• Validation failures

• Destination/API errors

6. 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.

How to access Import Analytics

1. Go to your CSVbox Dashboard

2. Select your Sheet

3. Open the Analytics tab

You can filter data by date range to analyze recent or historical imports.

Privacy & 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

How to use Import Analytics effectively

Improve onboarding

If many users drop off early, consider:

• Simplifying instructions

• Providing sample files

• Improving file format guidance

Optimize header selection

If users spend too long selecting headers:

• Ensure clean file templates

• Improve header row detection

• Add instructions for users

Fix mapping issues

If mapping drop-offs are high:

• Use clearer column names

• Reduce required fields where possible

• Enable better defaults

Reduce validation failures

If validation errors are common:

• Review validation rules

• Provide better error messages

• Offer clearer data requirements

Debug failed imports

Use session logs to:

• Inspect failed submissions

• Identify API/destination issues

• Reproduce and fix problems quickly

Notes

• Analytics data is aggregated per sheet

• Sessions are automatically tracked—no setup required

• Abandoned sessions are detected after a period of inactivity

Import Analytics helps you move from guessing to understanding—so you can continuously improve your data import experience.