> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ghostlyx.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Data import

> Import historical analytics data from other platforms into GhostlyX.

<Note>
  Data import requires the **Scale plan**.
</Note>

## Supported sources

| Platform            | Guide                                                          |
| ------------------- | -------------------------------------------------------------- |
| Google Analytics 4  | [Import from GA4](/import/google-analytics-4)                  |
| Universal Analytics | [Import from Universal Analytics](/import/universal-analytics) |
| Plausible           | [Import from Plausible](/import/plausible)                     |
| Fathom              | [Import from Fathom](/import/fathom)                           |
| Matomo              | [Import from Matomo](/import/matomo)                           |
| Simple Analytics    | [Import from Simple Analytics](/import/simple-analytics)       |
| Generic CSV         | [Import from CSV](/import/csv)                                 |

## How imports work

1. Export a CSV file from your current analytics platform (see the platform-specific guides linked above).
2. Go to your site dashboard and click **Import Data**.
3. Select your source platform and upload the CSV file.
4. GhostlyX validates the file and queues the import.

Imports run in the background. Return to the **Import Data** page to monitor progress. Large imports can take several minutes.

## Blended data

Once an import is complete, the imported historical data is blended with GhostlyX-collected data in the dashboard. You can use the date range picker to view historical data alongside current data in the same chart.

Imported data is clearly marked in the dashboard so you can distinguish it from natively collected data.

## Limits

* Maximum file size: 100 MB
* File encoding: UTF-8
* One active import per site at a time

If your historical dataset is larger than 100 MB, split it into multiple files and import them sequentially.