Analytics | GA

How to Retrieving Missing Purchase Events Data in GA4

How to Solve the GA4 Challenge: Retrieving Missing Purchase Events Data Using GA4 Segments

By Shubham Thakur
Mar 03, 2025 | 5 Minutes | |

In the world of analytics,  data accuracy is everything. But what happens when a critical event like the "purchase" event stops firing in Google Analytics 4 (GA4)? This is a challenge you might face and it can leave you scrambling to retrieve missing data. In this blog,  I,ll walk you through how to tackle this issue using GA4 segments,  ensuring you can recover missing purchase data and maintain accurate reporting.

 

The Challenge: Missing Purchase Data in GA4

Imagine this scenario: You,re reviewing your GA4 reports and notice that the "purchase" event hasn,t been firing for a few days. This is a major problem because purchase data is critical for understanding revenue,  conversion rates and overall business performance. Without this data,  your reports are incomplete and you,re left in the dark about key metrics.

However,  upon further investigation,  you realize that while the "purchase" event is missing,  other related events (like "add_payment_info" and page views for the confirmation page) are still being tracked. This gives you a glimmer of hope—perhaps the data isn,t entirely lost.

 

Root Cause Analysis: Why Was the Purchase Event Missing?

The root cause of the missing "purchase" event could be due to a variety of reasons,  such as:

  • A misconfiguration in your GA4 setup.
  • A bug or temporary issue with the tracking code.
  • Changes to your website or checkout process that disrupted the event firing.

While the exact cause might remain unknown,  the good news is that the data isn,t entirely lost. Other events,  like "add_payment_info" and page views for the confirmation page,  still contain valuable information that can help you reconstruct the missing purchase data.

 

How to Solve It: Using GA4 Sequential Segments to Retrieve Missing Data

If you,re facing this issue,  don,t panic—there,s a solution. By leveraging GA4,s powerful segmentation capabilities,  you can recover the missing purchase data. Here,s a step-by-step guide to help you solve the problem:

1. Identify Related Events

Start by identifying the events that are still firing and contain relevant data. In this case,  the "add_payment_info" event and the confirmation page view are key. These events often include product and transaction details that can help you reconstruct the missing purchase data.

2. Create a User-Level Sequential Segment

GA4 allows you to create user-level sequential segments,  which are perfect for this scenario. Here,s how to set it up:

  • Step 1: Add the "add_payment_info" Event
    • In the GA4 interface,  navigate to the "Explore" section and create a new segment.
    • Set the first step of the segment to the "add_payment_info" event. This event typically includes the product array,  which contains details about the items in the cart.
  • Step 2: Add the Confirmation Page View
    • Set the second step of the segment to the page view event for the confirmation page. This page is usually the final step in the checkout process and indicates that a purchase was completed.

 

 

3. Verify the Data

Once the segment is created,  apply it to your reports and verify that it correctly retrieves the missing purchase data. Check the product and transaction details to ensure they align with what you would expect from the "purchase" event.

4. Use the Segment for Reporting

With the segment in place,  you can now use it to generate accurate reports. This approach allows you to recover the missing data and maintain the integrity of your analytics,  even though the "purchase" event wasn,t firing.

 

Recovering Missing Data with GA4 Segments

By using sequential segments in GA4,  you can effectively recover missing purchase data and ensure accurate reporting. This solution not only fixes the immediate issue but also demonstrates the flexibility and power of GA4,s segmentation capabilities.

Authors

Shubham Thakur

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