How should you test conversion tracking accuracy after setup?

How should you test conversion tracking accuracy after setup?

• A. Test with debugging tools to verify events fire correctly.
• B. Rely on eyeballing numbers in GA4.
• C. Disable browser extensions.
• D. Ignore cross-domain tracking.

Answer: (B)

Testing conversion tracking accuracy after setup means actively confirming that the conversion signal actually fires and sends the correct data, not just looking at numbers. The best approach is to use debugging tools to verify the event fires as expected. Enable debugging with GA4 DebugView or use Tag Manager Preview to see in real time which events are sent, along with their parameters (like value and currency) and where they’re sent. Then check that those conversions appear in GA4 and are properly attributed in Google Ads when the accounts are linked. If users cross domains, test that path too to ensure attribution stays correct. Eyeballing GA4 totals is unreliable because data can be delayed, sampled, or filtered, and manual checks can miss misfires or parameter issues. Also, during testing, disable browser extensions that might block tags to avoid false negatives. In short, live verification with debugging tools gives precise confirmation of accuracy and helps catch issues that eyeballing can miss.

Testing conversion tracking accuracy after setup means actively confirming that the conversion signal actually fires and sends the correct data, not just looking at numbers. The best approach is to use debugging tools to verify the event fires as expected. Enable debugging with GA4 DebugView or use Tag Manager Preview to see in real time which events are sent, along with their parameters (like value and currency) and where they’re sent. Then check that those conversions appear in GA4 and are properly attributed in Google Ads when the accounts are linked. If users cross domains, test that path too to ensure attribution stays correct. Eyeballing GA4 totals is unreliable because data can be delayed, sampled, or filtered, and manual checks can miss misfires or parameter issues. Also, during testing, disable browser extensions that might block tags to avoid false negatives. In short, live verification with debugging tools gives precise confirmation of accuracy and helps catch issues that eyeballing can miss.