Avoid These 15 Common Google Analytics Mistakes

Don’t really feel dangerous for those who’re making errors in Google Analytics. Even skilled search engine optimisation professionals do. The excellent news is which you can study to identify and clear up them.

Duplicate tags, for instance, can result in overreporting.

If you’ve gotten arrange the mistaken occasion or goal tracking, you might not be monitoring conversions or clicks precisely.

And for those who don’t determine particular person visitors classes, you simply may be lacking out on which varieties of visitors are efficiently being pushed to your web site.

In this column, you’ll study 15 of the most typical Google Analytics errors — and the right way to discover and repair them.

1. Having More Than One Google Analytics Tracking Code

Having a couple of occasion of Google Analytics monitoring code may cause you to over-report your information.

This over-reporting can lead to inaccurate assessments of your web site’s precise Google Analytics efficiency.

Considering that you simply use this information to make choices, having the mistaken info can lead your whole technique astray.


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2. Not Tracking the Right Event Clicks

If you’re not monitoring the right occasion clicks, you aren’t getting correct efficiency information.

Say, for instance, that your customers click on on a name button B which is additional down the web page than name button A. However, you’re really together with monitoring code on name button C.

Here, you’re lacking the mark on each name buttons A and B, and lacking out on quite a few conversions consequently.

3. Not Filtering Out Your Own Company Traffic

You simply began work on a shopper’s web site and their visitors continues to extend. Does this imply you’re doing an important job of search engine optimisation?

Hold on a second. Look deeper into Google Analytics and examine your organization’s IP tackle. If you discover visitors coming from your personal IP tackle, you must block it from Google Analytics.

Reporting inflated visits from your personal IP means extra inaccurate information.

4. Not Tracking External Sources of Traffic With UTM Tags

Certain varieties of promoting campaigns, equivalent to these on exterior platforms like Facebook and Twitter, lend themselves nicely to monitoring with UTM tags.


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You may use UTM tags with billboards and TV promoting (it could be much less efficient however will be carried out).

If you don’t guarantee the right UTM tags are put in in your advertisements, how are you going to make sure the accuracy of your visitors reporting?

Read UTM Parameters Explained: A Complete Guide for Tracking Your URLs & Traffic to study extra.

5. Not Being Mindful of Your Parameter URLs

Parameter URLs are all nicely and good till they’re hit by a ton of visitors and change into a nuisance. This inundation of visitors can lead to stories tons of of pages lengthy.

If you understand that sure parameter URLs shouldn’t be tracked, filter them out of your Google Analytics stories.

By filtering out parameter URLs the place they make sense, you enhance the accuracy of your monitoring and create higher attribution fashions to your search visitors.

For extra steerage right here, take a look at An SEO Guide to URL Parameter Handling.

6. Ignoring Individual Sources of Traffic

When you ignore particular person sources of visitors, you might be tuning out a priceless chunk of decision-making information.

For instance, for those who solely take a look at the surface-level stories (in all variations of GA underneath model 4.0) underneath Acquisition > All Traffic > Channels, you’re reporting on all the channels that Google Analytics stories on.

But for those who drill down additional (for instance, into natural search versus direct or social) you possibly can see efficiency because it pertains to natural search visitors.

This is a good way to see precisely how your web site is performing and whether or not your search engine optimisation skilled is on the identical web page as you.

7. Using Outdated Tracking Code

When you create a brand new web site design and don’t replace your monitoring code to new ones (particularly when you have transferred to utilizing Google Tag Manager over Google Analytics) you run the chance of it being outdated.

As a security measure to guard towards these kinds of errors, all the time be sure you’re utilizing probably the most up-to-date model of your monitoring code.

The visitors will usually present inflated numbers however you received’t know the place, precisely, the duplicated visitors is coming from until you do some deeper digging.


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Even then it’s tough to determine. That’s why we have to use a Google Chrome extension to seek out it.

Use the Google Chrome extension referred to as Google Tag Assistant to be sure you’re not utilizing any duplicate monitoring codes.

This will present up as a crimson tag throughout the extension when you’ve gotten a couple of occasion of the identical monitoring code put in.

8. Ignoring Signs of Scraping

Scraping is one doable purpose for inflated information in your GA account. If your web site has been scraped and the Google Analytics monitoring code left intact, it’s possible you’ll be seeing the duplicate web site’s visitors in your GA.

If you discover a whole lot of visitors in Google Analytics information from one in all these websites, examine and examine these domains for scraped content material.

This ought to bounce out at you proper off the bat. If you see a major amount of your personal content material exhibiting up, it’s possible you’ll need to double-check and make sure that your personal monitoring code was not additionally transferred over to the brand new web site.


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Mistake #9: Not Switching http:// to https:// in Your GA Admin Panel

If you carry out a website migration, you have to to make sure that your admin panel can be switched from http:// to https://.

This is necessary to get proper if you wish to make sure the correct monitoring of your visitors information.

If you don’t, you can doubtlessly neglect to incorporate your whole reporting information in your Google Analytics monitoring.

Mistake #10: Ignoring Spam/Bot Traffic

Spam and bot traffic can be one thing you don’t need to ignore. If you ignore the potential impacts of spam and bot visitors, you can be negatively influencing the accuracy of your Google Analytics monitoring.

When it involves spam and bot visitors, this will result in over-inflation of visitors efficiency, and thus inaccuracies in your information reporting.

This occurs as a result of spam and bot visitors are usually not thought of to be probably the most correct sources of visitors.

If you suppose your search visitors is definitely growing, however your choice is predicated on spam and bot visitors, you can be in for a world of disappointment in that call.


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This is why it’s so necessary to make sure that any search engine optimisation technique choices are all primarily based on actual customers and visitors, moderately than spam or bots.

Mistake #11: Not Assessing Sampled Traffic vs. Unsampled Traffic

If your Google Analytics account is counting on sampled visitors, this might be an error in your information monitoring decision-making.

What is sampled visitors?

Google Analytics can run in two completely different modes: unsampled and sampled. Unsampled implies that Google Analytics is monitoring all doable visitors from Google, and they aren’t utilizing sampled information processing.

According to Google Analytics support, they’ve the next sampling thresholds:

Default stories are usually not topic to sampling.
Ad-hoc queries of your information are topic to the next basic thresholds for sampling:

  • Analytics Standard: 500k periods on the property stage for the date vary you might be utilizing
  • Analytics 360: 100M periods on the view stage for the date vary you might be utilizing

When you create a default report in Google Analytics, nevertheless, this information isn’t topic to the sampling listed above.


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Make positive that you’re not counting on sampled information once you’re reporting. And, if you’re counting on this information, you perceive what the implications of this sampled information really are.

Mistake #12: Ignoring the Hostname in URLs

By default, Google Analytics doesn’t embrace the hostname within the URL. This could be a problem when working with a number of subdomains since you can’t be fully positive the place visitors is coming from.

Always just be sure you know 100% the place the visitors is coming from.

At least you’ll know 100% always what’s happening with the hostname in your URLs.

Mistake #13: Not Analyzing the Right Profiles

When you first arrange Google Analytics, you’ve gotten one profile you should utilize. Over time, nevertheless, you should utilize a couple of profile relying on the aim of stated profiles.

Say you need to have one default profile for primary analytics. Then, a bit later, you resolve you need to create two or three profiles to measure sure issues.


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Perhaps one thing occurred throughout a web site migration that precipitated you to doubt your information’s integrity. Or, you simply need to begin anew.

Both are doable with the appearance of a number of Google Analytics profiles.

But watch out! Don’t simply assume you’ve gotten the appropriate profile.

If you don’t know what profile you might be utilizing, be sure you ask your webmaster/developer. This will provide help to assess whether or not or not the GA profile you’re utilizing is the right one.

You don’t need to be in a state of affairs the place you discover out three months into the venture that you haven’t been reporting information from the right Google Analytics profile.

Mistake #14: Ignoring URL Rewriting & Excessive Parameters

Ignoring URL rewriting can lead to unintended penalties.

For instance, say that your information contains many parameters all coming from completely different URLs in your web site. They might be reporting inaccurate visitors information as a result of there are a number of URLs per web page primarily based on the extreme question parameters.


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When this happens and also you ignore it, you run the chance of reporting on inaccurate information.

Always do a mini-audit of your URL parameters in Google Analytics when reporting to make sure that you haven’t had something unusual happen during the last month or two that impacts the integrity of your information.

Mistake #15: Not Tracking All Subdomains in Your Property Profiles

This is a extremely “it relies upon” situation as a result of it will depend on what you’re monitoring in the case of your Google Analytics information.

If you’re monitoring many various subdomains, it’s possible you’ll be in for a world of surprises in Google Analytics for those who don’t monitor them inside Google Analytics.

This builds on the hostname subject we mentioned earlier. If you don’t know these subdomains are sending visitors to your properties, how will you precisely monitor this information? It’s virtually inconceivable.

This is why you have to just be sure you’re monitoring all properties sending visitors inside your Google Analytics profiles.


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Always Follow Your ABTs

This means: all the time be monitoring! And the rule mentioned right here is why many errors are seemingly ignored or ignored.

While most search engine optimisation professionals are obsessive about their information monitoring, some are usually not obsessed sufficient. When you’re not obsessed sufficient to care about little issues just like the errors mentioned above, it’s possible you’ll be counting on faulty information monitoring.

This is why information accuracy is a crucial a part of any Google Analytics reporting. Seemingly innocuous strikes can even have a major affect in your information monitoring.

By following your ABTs, you’ll have a better likelihood of success and might keep away from many of those newbie errors.

When unsure, double and triple-check your Google Analytics arrange. In the top, your shoppers will thanks.

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Featured picture created by creator, April 2021

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