E-commerce
September 18, 2026
Wondering how to detect your e-commerce site's errors with Google Analytics? The answer is simple: by setting up dedicated event tracking for form errors and HTTP status pages. This allows you to identify the blockers that cause your visitors to abandon their shopping carts.
A site that silently crashes can cost you sales without you knowing it. Validation errors, page-not-found errors, and payment bugs are all conversion leaks. Google Analytics helps you spot them, but you still need to know where to look and how to interpret the data.
So, how do you detect your e-commerce site's errors with Google Analytics? On the agenda:
Why are site errors so costly for an e-commerce business?
How do you set up form error tracking in Google Analytics?
Which payment errors should you monitor as a priority?
How do you use real-time reports to test your detection?
What checklist should you adopt to fix the detected errors?
Let's get started.
Summary
Why are website errors so costly for an e-commerce business?
A poorly functioning e-commerce site is a site that loses money. Navigation or payment errors are often invisible to the merchant, but very real for the customer. The result: abandoned carts, frustrated customers, and a damaged brand image.
The most common errors concern login, registration, or order forms. An incorrectly filled field, an incomplete delivery address, or an invalid card number can block the purchase. Without detection, you don't even know these problems exist.
Google Analytics allows you to track this information. By setting up event tracking, you can see exactly where your customers are encountering difficulties. This is the first step to improving your conversion rate and offering a seamless shopping experience.
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How to set up form error tracking in Google Analytics?
To detect form errors, you must add JavaScript code to the relevant pages. This code sends an event to Google Analytics every time a visitor encounters a validation error. The event must contain three pieces of information: the category, the action, and the label.
The category can be "Website" and the action "Form Validation Error". The label, meanwhile, should use the exact error message displayed to the user. For example: "Invalid email address" or "Incorrect card number". This allows you to know precisely which message is blocking your customers.
Once the code is in place, you can test your configuration by intentionally creating errors. Use the Google Analytics real-time report to verify that events are being properly captured. This step is essential to validate your setup before relying on the data.
What are the most common form errors to watch out for?
Certain form errors occur more often than others. Identifying them helps you prioritize your corrections. Here are the most frequent ones in a buying journey:
Missing or poorly formatted email address: a simple omission of the ".com" can block account creation.
Incorrect username or password: a classic that drives abandonment.
Incomplete delivery or billing address: a missing field prevents order validation.
Invalid phone number: an unrecognized format can block the rest of the journey.
Incorrect credit card information: an incorrect expiration date or security code interrupts payment.
By tracking these errors in Google Analytics, you will know which ones are the most frequent and on which pages they appear. You can then correct the error messages or simplify the forms in question.
How to use real-time reports to test your detection?
Google Analytics' real-time report is your best ally for validating your tracking configuration. After adding the JavaScript code to your forms, open the "Real-time" report and then the "Events" tab. Then, voluntarily create errors on your site.
For example, submit a form with an invalid email address or a blank required field. If your configuration is correct, the event appears immediately in the report. This allows you to verify that the label corresponds exactly to the message displayed on the screen.
This testing method is quick and reliable. It prevents you from discovering weeks later that your tracking was not working. Take the time to test each type of error you want to monitor, including payment errors.
How to analyze the errors detected in Google Analytics reports?
Once your events are confirmed in real time, move on to analyzing historical data. In Google Analytics, open "Behavior" then "Events" and "Top Events." Filter by the event label you configured, which is the error message displayed to the user.
You can then add a secondary dimension to refine your analysis. The "Page" dimension tells you on which page the error occurred. The "Device Category" dimension shows you whether the problem affects mobile phones, tablets, or desktop computers more.
This cross-analysis allows you to identify critical pages, such as the checkout page or the order review page. If many errors appear on these pages, it is time to investigate the root cause and fix it.
How to interpret the error page conversion rate?
Pages located at the end of the purchase funnel typically have a very high conversion rate, close to 100%. Indeed, a visitor who reaches the payment page has already gone through all the previous steps. They are therefore highly motivated to finalize their purchase.
If you notice a conversion rate of 80% or 60% on these pages, it means that some of the visitors are abandoning due to an error. This is not normal. The error could be a real technical bug or simply an unclear message that causes the customer to give up.
By analyzing error events on these pages, you can identify the exact message that is blocking the user. Fix the technical issue or rephrase the message to guide the user. Every regained conversion point is a direct boost to your revenue.
How to identify checkout pages that are causing issues?
To identify checkout pages causing issues, use the "Page" secondary dimension in your event report. This will show you which specific pages generate the most errors. Checkout and order review pages are often the most affected.
If many errors appear on the checkout page, examine the form fields. A postal code field that is too restrictive or a poorly configured dropdown menu can block input. Similarly, an order review page that does not load correctly can drive customers away.
Do not forget to check whether the problem comes from the site itself or from insufficient communication. Sometimes, an error message that is too technical or poorly placed is enough to discourage a buyer. Simple rephrasing can solve the problem without any technical modification.
How to detect payment errors with Google Analytics?
Payment errors are among the most critical for an e-commerce business. They occur when credit card information is incorrect or when the payment processor encounters an issue. To detect them, you must set up specific events on your checkout page.
The event label should include the error message displayed to the customer, for example, "Card declined" or "Invalid expiration date". This will allow you to track the frequency of each error and identify the most common ones. A high rate of payment errors may indicate a problem with your gateway.
By analyzing this data, you can also identify communication issues. An unclear error message can lead the customer to abandon their purchase even when the problem is simple to solve. Improve your messages to guide the user and reduce abandonment.
How to use the "Device" dimension to identify mobile errors?
Site errors do not always affect all devices in the same way. A form may work perfectly on a desktop but be unreadable on mobile. To check this, add the secondary dimension "Device Category" to your event report.
You will then see if the errors are concentrated on mobiles, tablets, or desktops. If errors are more frequent on mobile, examine the mobile version of your forms. Fields that are too small, poorly placed buttons, or difficult-to-use dropdown menus are common causes.
This analysis helps you prioritize your fixes. If the majority of your traffic comes from mobile, a mobile error is particularly critical. Fix the problems affecting your most important channels first.
How to track website errors in your daily reports?
Once your error tracking is in place, it is important to consult it regularly. After a few weeks of data collection, add your error reports to your Google Analytics dashboards or your Data Studio reports. This will allow you to review them daily or weekly.
This routine allows you to quickly detect new errors and measure the impact of your corrections. You can also track the evolution of the conversion rate of error pages to verify that your actions are bearing fruit.
By integrating error tracking into your daily management, you transform Google Analytics into a proactive maintenance tool. You no longer suffer from bugs, you anticipate them. It is a change of mindset that sustainably improves your conversion rate.
How does Qstomy help reduce the impact of site errors?
Qstomy is an AI agent designed for Shopify merchants. It guides your customers throughout their purchasing journey, from product recommendations to parcel tracking. In the event of an error on your site, Qstomy can limit the damage by offering an alternative to your customers.
For example, if a customer encounters a payment error, Qstomy can help them finalize their order via another channel. It can also answer frequently asked questions about delivery times or returns, preventing the customer from leaving the site. This reduces the impact of errors on your conversion rate.
In addition to Google Analytics, Qstomy acts as a safety net. Where the measurement tool identifies issues, Qstomy helps bypass them in real time. A winning combination to offer a frictionless shopping experience, even when the site encounters difficulties.
Which checklist should be adopted to correct the detected errors?
Here is a simple checklist to turn your Google Analytics data into concrete actions:
Configure tracking: add the JavaScript code to all your forms, including the checkout page.
Test in real-time: create deliberate errors and check their detection in the Real-Time report.
Analyze events: consult the event reports to identify the most frequent errors.
Cross-reference data: use the "Page" and "Device" dimensions to locate issues.
Fix and measure: correct bugs, rephrase messages, and track the evolution of the conversion rate.
In brief
Google Analytics is a powerful tool for detecting errors on your e-commerce site. By setting up event tracking, you identify the roadblocks that drive your customers away. You can then fix the problems and improve your conversion rate.
FAQ
What is the best way to detect form errors? Event tracking in Google Analytics, with a label featuring the error message displayed to the user.
How do I know if a payment error is a technical bug? Analyze the frequency of the error and the page's conversion rate. An abnormally low rate indicates a problem that needs to be fixed.
Can Qstomy replace Google Analytics? No, Qstomy complements Google Analytics by offering real-time assistance to your customers, while the measurement tool identifies issues.
To go further: Detect site information gaps thanks to support tickets - Qstomy, E-commerce SEO strategy for category pages - Qstomy, How to set up e-commerce tracking on Google Ads? Conversions and GA4 - Qstomy, How to optimize an e-commerce site for Google (step-by-step guide) - Qstomy, Training an e-commerce chatbot with Shopify: using the right data without creating bad responses - Qstomy, Can Wix be used for an e-commerce site? - Qstomy, Integrating customer service answers into an e-commerce SEO strategy useful to customers - Qstomy.
Enzo
September 18, 2026
