Table of Contents
Google Analytics Errors You Can’t Make
Google Analytics Mistakes To Not Do
ogle Analytics Mistakes To Not Donalytics
Error # 1: Using outdated tracking code
If you design a new site and do not update your tracking code (especially if you have moved from Google Analytics to Google Tag Manager), you run the risk of expiring it. Always make sure you use the most up-to-date version of your tracking code as protection against these types of errors. Traffic will usually show up with full-blown statistics, but unless you look closely, you will never know where duplicate traffic is coming from. However, it is difficult to identify. To find it, we will need to use the Google Chrome plugin. Make sure you do not use any duplicate tracking codes using the Google Tag Assistant Chrome extension. If you have several instances of the same tracking code enabled, this will appear as a red tag within the extension.
Mistake # 2: Ignoring Symptoms of Scratch
One of the possible causes of the airborne data in your GA account is deleting. If your site has been selected but Google Analytics tracking code has not been removed, you may be receiving traffic from duplicate sites in your GA. Browse and check these domains for deleted content if you get too much traffic to Google Analytics data from one of these sites. This should stand out immediately. If you see a lot of your content on a new site, double check to make sure your tracking code isn’t passed with you.
Error # 3: Fixing http: // to https: // in Your GA Control Panel
If you are migrating your website, make sure your control panel is moved from http: // to https: // as well. If you want to ensure that your traffic data is correctly tracked, you must obtain this right. You risk forgetting to include any of your reporting data in your Google Analytics monitoring if you do not.
Mistake # 4: Ignoring Spam / Bot Traffic
Spam and bot traffic are also issues you should be aware of. You may be affecting the accuracy of your Google Analytics monitoring if you ignore potential spam and bot traffic traffic. When it comes to spam and bot traffic, this can lead to excessive inflation and, as a result, inaccuracies in your data reporting. This is because spam and bot traffic are considered reliable sources of traffic. If you believe your search traffic is growing but you base your decision on spam traffic, you may be in a world of disappointment. That’s why it’s important to make sure that any SEO strategy decisions are focused on real users and traffic, not spam or bots.
Mistake # 5: Not Testing Sample Traffic vs. Unsampled Traffic
This could be a mistake in your decision-making on data monitoring if your Google Analytics account relies on sample traffic.
What is sample traffic?
Unprocessed and sampled methods are available in Google Analytics. Unprocessed data processing means that Google Analytics tracks all Google traffic and does not use sample data processing.
Automatic reports are not subject to sampling. The following sample thresholds apply to unsolicited queries for your data:
Analytics Standard: 500k times the asset level in the date range you use
Analytics 360: 100M statistics for the viewing level of the date range you are using
When you create an automated report in Google Analytics, however, this data is not limited to the sample shown above.
When reporting, make sure you do not rely on sample data. Also, if you rely on this information, you know the effects of sample data.
Mistake # 6: Ignoring hostname in URLs
Google Analytics does not automatically add a hostname to a URL. When working with multiple subdomains, this can be difficult because you never know where the traffic is coming from. Always make sure you know 100% where the traffic is coming from. At least you will always be 100% aware of what is happening with the hostname in your URLs. Your local SEO company can help you do this again freely for you.
