Raw Data Overview

The Raw Data tab gives you access to the underlying information behind your experiment results, providing visibility into the specific customer interactions that drive your metrics. This section is designed to help you connect high-level performance indicators with actual user behavior.

Orders Per Test Variation

The Orders table shows you all purchases made during your test, organized by variation. Key features:

• View by Variation: Use the tabs at the top to filter orders by test variation (A/B/C)

• Complete Order Details: See order IDs, dates, amounts, and items purchased for each transaction

• Direct Shopify Access: Click any order to jump straight to its detailed page in Shopify

• Export Capability: Download the full Orders table as a CSV file for further analysis

This section helps you understand not just how many conversions happened, but exactly what customers purchased in each variation of your test.

Experiment Events Table

The Events table captures all user interactions throughout your test, showing exactly how visitors engage with each variation. Key features:

• Complete Interaction Tracking: View all customer events including page views, add-to-carts, checkout starts, and purchases

• Detailed Event Data: Each entry shows the event type, timestamp, and which test variation triggered it

• User Journey Insights: Follow how visitors move through your site across different test variations

• Export Functionality: Download the full Events table as a CSV for deeper analysis in your own tools

This detailed event tracking helps you understand precisely how customers interact with your test variations, revealing the "why" behind your conversion metrics.

Test History Timeline

• A straightforward record showing when your test was created, started, updated, paused, or completed

• Essential for understanding the experiment timeline when analyzing results

The timeline provides a clear chronological view that helps you track when changes occurred during your test, making it easier to correlate performance shifts with specific events.