E-commerce
October 1, 2026
Wondering how to audit your e-commerce Google Analytics data? The key is to verify that your figures reflect the reality of your sales, as skewed data leads to risky decisions. A regular audit allows you to detect tracking errors, duplicates, and suspicious traffic sources before they impact your strategy.
The stakes are high: a simple duplicate tag or a misconfigured event can distort your conversion reports. Fortunately, simple checks in GA4 are often enough to identify problems. So how do you audit your e-commerce Google Analytics data? On the agenda:
Why audit your Analytics data regularly?
How to spot duplicate tags on your site?
How to verify the integration between Google Analytics and Google Ads?
How to check the accuracy of transactions and revenue?
What checklist to use for a complete audit of your data?
Let's get started.
Summary
Why should you regularly audit your Analytics data?
Your Google Analytics data guides your decisions: which products to promote, which channels to prioritize, how to adjust your campaigns. But if this data is inaccurate, you risk making major mistakes. A regular audit allows you to confirm that your numbers are reliable or to identify errors before they harm your strategy.
Common errors include duplicate tags, "(not set)" pages, incorrect traffic sources, and duplicate transactions. Each can distort your performance reports. For example, a duplicate tag inflates your page views, while a duplicate transaction artificially increases your revenue.
By conducting a methodical audit, you protect your marketing budget and ensure that every decision is based on solid data. It is an investment of time that is well worth it, especially if you use this data to drive your sales.
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How to identify duplicate tags on your website?
Duplicate tags are a common issue. They occur when multiple tracking codes are installed on the same page, which artificially inflates your statistics. To detect them, open the "Pages" report in GA4 and compare "Pageviews" to "Unique Pageviews".
If a page shows at least twice as many pageviews as unique pageviews, there is likely a duplicate tag. This can happen after installing a plugin, modifying a theme, or making a copy-paste error. Fix it by removing the excess tag, then verify that the number of pageviews becomes consistent again.
A regular audit of your tags prevents skewed data and decisions based on incorrect numbers. Remember to also check ecommerce tracking tags, as they can also be duplicated.
How to identify "(not set)" pages in your reports?
The "(not set)" pages in your reports indicate a tracking issue. This means that Google Analytics was unable to associate an action with a specific page. For example, an event may trigger before the page tag is loaded, which prevents the page from being identified.
To investigate, open the "Events" report and add the secondary dimension "Landing Page". Look for events associated with "(not set)". If you find any, it means these events are not correctly linked to a page. The same issue can appear in e-commerce reports, such as "Product Performance".
Fixing these errors can be complex. If you are not comfortable with code, call on a Google Analytics certified consultant. Once the events are correctly associated, your data will better reflect your customers' journey.
How to verify the integration between Google Analytics and Google Ads?
Poor integration between Google Analytics and Google Ads can distort your paid traffic reports. If your campaigns are not properly linked, clicks and conversions may be incorrectly attributed. To verify, open the "Acquisition" report, then "All Traffic" and examine the "Google / CPC" source.
Make sure the volume of sessions and transactions matches your expectations. If you notice significant discrepancies, verify that conversion tracking is properly configured in Google Ads. See our article on setting up ecommerce tracking on Google Ads for more details.
Correct integration allows you to accurately measure the return on investment of your campaigns. Without it, you could over-optimize campaigns that are not performing or under-invest in those that are.
How do you monitor traffic sources and referrals?
Traffic sources must be consistent with your business. Open the "Acquisition" then "All Traffic" report and examine the main sources of sessions and transactions. Normally, you should see organic traffic, CPC, direct, email, then social networks and referrals.
If you see an unknown source or an abnormal volume, it could be referral spam or a tagging issue. For example, if your own domain appears as a source, this may indicate internal tracking that should be excluded. Also, verify that your email and social campaigns are correctly tagged with UTM parameters.
Regular monitoring of your sources helps you identify which channels are actually generating sales. This allows you to allocate your marketing budget more effectively.
How to verify the accuracy of transactions and turnover?
Your transactions and revenue in Google Analytics should match your actual sales, with a margin of 5% maximum. To check, compare the data from the "Monetization" report with your actual sales figures over a given period.
If the transactions are close but the revenue is not, examine individual transactions in the "Sales Performance" report. Verify that quantities, taxes, and shipping fees are correctly included. If both are too low, it may be that the ecommerce tags are triggering too late or the confirmation page is having loading issues.
A significant discrepancy can indicate tracking issues, such as missed events or PayPal payments that do not redirect properly. Correcting these errors is essential to have a reliable view of your profitability.
How to detect duplicate transactions?
Duplicate transactions artificially inflate your sales. To detect them, open the "Monetization" report and note the total number of transactions. Next, consult the "Sales Performance" report and count the number of unique transaction IDs.
If the total is greater than the number of IDs, there are duplicates. For example, if you have 308 transactions but only 303 IDs, this means 5 duplicates, or about 1% of the total. A duplicate rate higher than 10% requires a thorough investigation.
Duplicates often occur when customers revisit the confirmation page after placing an order. To prevent this, configure your shopping cart to block this page from being reloaded, or use a custom script. If necessary, hire a developer.
How to verify that ecommerce events are being tracked correctly?
Ecommerce events, such as cart additions or purchases, must be tracked accurately. Open the "Events" report and check that key events (view_item, add_to_cart, purchase) are correctly recorded. If some events are missing, it may indicate a configuration issue.
Compare the number of events with your actual data. For example, the number of purchases should match your orders. If you notice discrepancies, check that the tags are placed in the correct location on your site, particularly on the order confirmation page.
Accurate tracking of events allows you to understand your customers' behavior and optimize your conversion funnel. Without it, you could miss out on opportunities for improvement.
How to analyze product performance reports?
Product performance reports show you which items are selling best. Open the "Monetization" report and then "Product performance". Check that the data matches your actual sales, in terms of quantities and revenue.
If some products show inconsistent numbers, this could indicate a tracking issue, such as incorrect product IDs or missed events. Ensure that each product has a unique ID and that data is being sent correctly to Google Analytics.
An accurate analysis of your product performance helps you decide which products to promote, which to restock, and which to discontinue. This is a valuable tool for your e-commerce strategy.
How to use audited data to improve your campaigns?
Once your data is audited and reliable, you can use it to optimize your marketing campaigns. For example, if you find that organic traffic generates more conversions than paid traffic, you can reallocate your budget accordingly.
Accurate data also allows you to identify the most profitable products and create targeted campaigns. You can also adjust your Google Ads bids based on the actual performance of each channel.
Finally, reliable data helps you set realistic goals and measure your progress. Check out our article on choosing e-commerce KPIs to guide you through this process.
How does Qstomy help make your data more reliable and improve conversion?
Qstomy, the Shopify AI agent, does not replace Google Analytics, but it complements your data by directly influencing conversion. Thanks to its personalized recommendations, it guides your customers towards purchasing, which can increase your sales and make your data more representative of your potential.
Qstomy also helps reduce tracking errors by optimizing the checkout funnel. For example, it can suggest complementary products at the cart stage, increasing the average order value. It also provides parcel tracking and post-purchase support, reducing returns and cancellations.
By improving the customer experience, Qstomy contributes to more stable and reliable data. To learn more, read our article on training an e-commerce chatbot with Shopify.
What checklist for a complete audit of your Analytics data?
Here is a checklist to help you audit your Google Analytics data:
Duplicate tags: compare page views and unique page views.
"(not set)" Pages: check events and e-commerce reports.
Ads Integration: monitor Google / CPC sessions and conversions.
Traffic sources: spot unknown sources or spam.
Transactions: compare with your actual sales, max deviation of 5%.
Duplicates: count unique transaction IDs.
In brief
A regular audit of your Analytics data is essential for making informed decisions. By checking tags, sources, and transactions, you ensure that your figures reflect reality.
FAQ
How often should I audit my data? Ideally every month, or after any modification to your site.
What should I do if I find errors? Fix them quickly, or call in an expert if necessary.
Can Qstomy help me improve my data? Yes, by optimizing conversion and reducing tracking errors.
To go further: E-commerce CRM and customer support: using the right data to respond better - Qstomy, E-commerce SEO strategy for category pages - Qstomy, Google Analytics for marketing: ads, traffic and performance (GA4) - Qstomy, How to deploy digital marketing on an e-commerce site? - 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, Product variant errors: helping the customer choose the right size, color or version - Qstomy.
Enzo
October 1, 2026
