Product
BUILD
NEW

AI-generated pages, built to evolve

Build pages with total design control

Elevate copy, SEO, and visuals

Launch faster with flexible templates

Engage with forms to capture data

OPTIMIZE
NEW

AI insights for page performance

Compare variants and lift results

Track clicks and uncover intent

Sync sections across every page

Expand pages into new markets

SCALE
SOON

MCP power for AI workflows

Scale pages from one smart layout

Use a reliable and secure platform

Manage large accounts and campaigns

Connect pages to your campaign flow

Solutions

Capture more leads with less friction

Turn more visits into conversions

Get more return from paid traffic

Scale page operations with control

Strengthen your presence across channels

Match content to visitor intent

Launch pages tailored to your brand

Turn shopping traffic into more sales

Resources

Practical advice for marketers

Guides, setup, and how-tos

Free tools and learning for marketers

See how teams improve results

Explore the platform with our team

Get expert help with page design

HomeHelp CenterLeads & statisticsExport EventTracker data to Parquet and analyze it with AI

Export EventTracker data to Parquet and analyze it with AI

EventTracker data can be exported from Landingi as Parquet files. This lets you work with raw session and event data outside the platform – for example, in your own analytics environment or with AI tools and LLM-based agents.

This guide explains how to export EventTracker data, what a Parquet file is, what information the export contains, and how you can use AI to analyze or convert the data.

NOTE: Exporting EventTracker data is available on Enterprise plans.

What is a Parquet file?

Parquet is a file format designed for storing and processing large amounts of structured data efficiently. It stores data by columns and supports compression, which makes it well suited for large analytics datasets.

Analyze the data with AI

Unlike CSV, a Parquet file is not designed to be opened and read directly as plain text or a regular spreadsheet. You can upload Parquet files to AI tools that support this format and use them to analyze your EventTracker data.

Upload the export to an AI tool and ask it to:

  • explain the data and its structure,
  • analyze sessions and events,
  • compare behavior across devices, page variants, or UTM parameters,
  • look for patterns and optimization opportunities,
  • prepare summaries or further calculations.

You can also ask an AI agent to convert the file to CSV.

NOTE: EventTracker exports may contain visitor-level information, including IP addresses. Before uploading the files to an external AI service, make sure your workflow meets your organization’s privacy and data security requirements.

You can also use Solis to analyze EventTracker data directly in Landingi and get AI-powered insights based on visitor behavior.

Export EventTracker data

1. Start the export in one of two ways:

On the landing page list, click the three-dot icon next to the landing page and select Export EventTracker data.

Export EventTracker data on the landing page list

or

Open the landing page Dashboard, click the three-dot icon, and select Export EventTracker data.

Export EventTracker data in the landing page Dashboard

2. In the export window, enter the email address (1) where you want to receive the data.

Select the period you want to export (1). You can select any date from the beginning of the previous month up to yesterday.

Then click Request export (3).

EventTracker export window

3. Preparing the files may take a few minutes, depending on the amount of data. When the export is ready, you will receive an email with a link to download a ZIP archive.

What is included in the export?

The ZIP archive contains one or more Parquet files. Session data and event data are exported separately.

If the selected period contains sessions but no recorded events, the archive will contain only the session data, and vice versa. If both sessions and events are available, you will receive separate files for each data type.

The files can include information such as:

Data typeExamples of exported data
SessionsSession ID, date, IP address, device, page variant, UTM parameters
EventsSession ID, element ID, event type, date, label

The session ID can be used to connect events with the session in which they occurred when analyzing both datasets together.

To learn more about EventTracker and the data it collects, see our EventTracker guide.

TABLE OF CONTENT
G2 reviews for Landingi