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How to Efficiently Block and Remove the Spam from Your Google Analytics

This guide will help you prevent any form of ghost spam, whether it be referrers, keywords, pages, or language and it applies to any site using Google Analytics, independently of the traffic, language, and platform used (WordPress, Shopify, Joomla, Blogger, ...).

Recent Spam (LAST CHECKED: January 17, 2017)
Update: The spammer behind the language spam "Secret.ɢoogle.com", "Trump" and "Vitaly rules google" is using legit sites as spam like twitter.com, blackhatworld.comreddit.com, a fake lifehacĸer.com, and many others. This guide will help you prevent them without risking your real traffic.
List of latest spam
  Referrer List
####-1.insider.pro page title / referral mail.allnews24.in website-analytics.online
speedup-my.site Fake cookie compliance scanner sites okout.ru/a00af605
analytics-ads.xyz eaplay.ru/a00af605 datract.com
site-auditor.online    
bukleteg.xyz, boltalko.xyz,  5+ from ilovevitaly.com  
Keyword, Page and now Language Spam List
Language spam: "Congratulations to Trump and all americans" the spammer just run out of ideas
Language: Secret.Google.com-Trump Language: "o-o-8-o-o.com search shell" Page title : "Vitaly rules google"
Page: /sharebutton.to Page: /www1.free-share-buttons.top Keyword: cdn front.to
Page title: MULTIPLE page titles showing full URLs of articles talking about one of the spammers.
Keyword: MULTIPLE (30+) combinations ending with sharebutton.to

The spam in Google Analytics has become a headache for many users that rely on it to track the performance of their sites. Unfortunately, all the junk traffic in the reports is making that hard to do, especially for small/medium sites where the spam can account for a big part of their data.

Is Google Doing Something About It?

The truth is that they are. However, Google Analytics is way too attractive a target for spammers, so as soon as Google shuts one door, the spammers find another way to get through, like the last wave using the language and legitimate sites as spam.

Luckily there is an efficient way of preventing all this spam nonsense. I created this guide to help others implement the solutions that I've successfully applied to all my Analytics and over 500 sites that I've personally helped

These solutions have been proven to work for over two years regardless of the tactics used by spammers. The following screenshot shows some examples:

  • Data in blue segment of data showing only the spam in the property
  • Orange line represents the moment when the filters from this guide were applied to that property.
Permanent filters for spam applied graphs
(click to zoom)

I will show you how to get these results for your Analytics. But before we get to that, let's go over what you shouldn't do.

Don't have time to deal with this? I can personally set everything for you.

Myths about the spam in Analytics

There are many myths and partial solutions. Some will only waste your time, while others may complicate things even more, so if you've made any of the mistakes below, undo the changes if possible.

The Right Way of dealing with the spam

I will show you not only how to get rid of the spam and your other junk traffic, but also how to do it (1) safely so you don't risk your data, and (2) efficiently, so you don't waste your time updating filters every time new spam shows up.

Here is what you will accomplish by the time you've implemented the instructions in this guide:

  1. Protect your data. Correctly configure your views to protect your data from possible misconfigurations.
  2. Stop the spam and other irrelevant traffic. Efficient filters that don't need to be constantly updated.
  3. Clean your historical data. An advanced segment to remove the spam from your historical data.

You can use the Quick Navigation   on the right side of your screen to quickly jump between sections.

1. Protecting your Data from Misconfigurations

This step is not strictly required to clean your analytics, but it is still important to protect it from possible misconfigurations. Every Google Analytics account should have at least the following views:

  • Master - View where you will apply filters. Used for analysis
  • Unfiltered - Your backup view, which, shouldn't have any filter or any setting that alters the incoming data.
  • Test (Optional) - if you want to be extra cautious you can create a test view that you can use to try the filters.

If you are already following these best practices, go to the next step. If you haven't and need help, here you can find the instructions on how to create an unfiltered and a test view!

2. Stopping Google Analytics Spam and Other Irrelevant traffic

Once you ensure that your data is protected, the next step is blocking all of that dirty traffic that inflates your reports. Here is what you will do:

  1. Filter for Ghost Spam (will stop any form referral, organic, page, language)
  2. Filter for Crawler Spam.
  3. NEW! Filter for Fake Languages.
  4. Extra: Filter for Internal traffic.
  5. Extra: Enable the built-in feature Bot Filtering (to exclude known bots)

General notes about the filters

  • While most of the time filters start working in minutes, officially it may take up to 24 hours before the filter effects become visible in your data, so be patient!
  • You will apply the filters either in the master view (the view(s) to be used for analysis) or the test view if you want to try them first.

Don't have the time or the technical knowledge to do this? If you prefer I can set all the filters and fixes for you.

a. Creating a Valid Hostname Filter for Ghost Spam

This is the most effective filter against the spam. This filter will permanently stop all spam from sharebutton, fake compliance cookie sites, site-auditor, spammers impersonating legit sites, and most of the language junk like "vitaly rules google" and "secret.Google.com"

This filter will be for your hostnames, something that you control and usually can by counted with your hands. So as long as you add all of them you don't have to worry, you won't exclude any real traffic.

The main characteristic of ghost spam is that it never visits your site. Instead, it uses the measurement protocol to reach your GA directly. For that reason, this type of spam always leave a fake hostname or leaves an "undefined" hostname which will appear as (not set) in your reports.

If we use this to create a filter that will only let pass traffic with valid hostnames, all ghost traffic will be automatically excluded. This solution is much more efficient than the one commonly used, which is to create a filter with the name of spam. Plus this technique will work for any type referral, keyword, page, language, etc.

exclude-filter-vs-valid-hostname-filter-google-analytics-ghost-spam
Don't confuse Hostname with Source. What is a hostname?

There is one thing I want to make clear because it sometimes causes a bit of confusion. Some people mistake the hostname with the source.

The Source is where your visit comes from and there can be any number of them, for example, Facebook, Google, Twitter, Youtube, links from other sites to your site, etc.

The hostname, on the other hand, is the site where the visitor arrives. Your main hostname will be your domain and, and depending on the configuration of your site, there may be others.

Source vs Hostname Google Analytics

This part of the guide may be the most complicated, but is also the most important to get rid of spam and it can even help to eliminate other sources of irrelevant traffic. There are 3 things you need to do to build this filter:

1. Find your Hostnames: Your main hostname will be your domain and depending on your site configuration you may find others. To see a list of all your active hostnames you should go to the Network report in your Analytics and select the blue text "Hostnames" at the top of the report. Make a list of all the valid ones.Not sure which are your valid hostnames? click here to expand the instructions

How to find your hostname report

The most important part of this method is getting a list of all your valid hostnames to avoid excluding any legitimate traffic. For that, you will need to find your network report then select hostname at the top of the report.

  1. On the reporting section, select a wide time frame on the calendar, go to the Audience reports in the sidebar.
  2. Expand Technology and select Network
  3. Make sure you select Hostname at the top of the report (by default Service Provider is selected), you will see a report with all your hostnames (real and fake).
    How to find the hostname report - Google Analytics
  4. Make a list of all relevant host names you find. At least you should see one that will be your primary domain. The rest depends on the configuration of your site and all the services that have added tracking code (UA-000000-1). Here are some examples:
    Your main domain: ohow.co Subdomains: blog.ohow.co
    Translate services: Bing translate Shopping Carts: Shopify
    CDNs: CloudFlare Video Services: Youtube
    Cache Services: Google cache IP's: 1.23.45.678
    Payment Services: Paypal

    An invalid hostname is essentially any other that you do not know or control. For example:

    - Hostnames with URLs pointing to the spammer website.
    - Known sites that may no look spammy but you don't control like cnn.com, foxnews.comgoogle.com or apple.com  (spammers use them to mislead people)
    - The most common hostname for spam (not set), this happens when the spammer doesn't even bother to set a fake hostname.

    The following screenshot is an example of a hostname report:

    Green: Valid  Red: Spam
    Google Analytics Hostname Report
    These are just examples of hostnames, don't add hostnames that are not on your list

    From the report above we get the following valid hostnames. Remember we are looking for real valid hostnames to include, not to exclude.

    www.ohow.co ohow.co
    translate.service.com www.videoservice.com
    webcache.service.com mail-list-manage.com
    www.ohow.co.googleweblight.com
2. Build your Hostname Expression: Once you have the list of all your hostnames, you have to create a regular expression (REGEX) that contains all of them.Need help to build your hostname expression? click here to expand the instructions

How to build your valid hostname filter expression

Once you gather all of your valid hostnames, you should create Regular Expression (REGEX) that matches all of them. Here are some tips to help you build your expression:

  • To separate each hostname, you should use a bar or pipe character |, this works as OR, if you can´t find it, hold Alt + 124(Numeric pad)
  • The dot . and the hyphen - are considered special characters in REGEX so you should add a backslash \ before them.
  • Try to find a good way to match as many hostnames as you can, for example, if you want to match blog.ohow.co, es.ohow.co, www.ohow.co, you don't need to add all of them to the expression entering ohow, will be enough to match all of them (just avoid using common names).
  • Don't leave any spaces.
  • The REGEX has a limit of 255 characters if your expression exceeds this limit try to optimize it to keep everything under one expression because you can only have 1 Include hostname filter
  • Don't add a pipe/bar |, at the beginning or the end of the expression.
  • More about Regular Expressions

Following the recommendations above and using our list of Valid hostnames:

List of hostnames found in the report
www.ohow.co ohow.co
translate.service.com www.videoservice.com
webcache.service.com mail-list-manage.com
www.ohow.co.googleweblight.com

We can build the expression that will match all of them:

ohow\.co|translate\.service\.com|videoservice\.com|webcache\.service\.com|mail\-list\-manage\.com

It is important that you add all your relevant hostnames, or you will lose valid data. If you want to be extra sure you are not missing any, you can test your expression with a quick segment or test your filter for a few days in a test view.

Do you need help configuring the filters? I can personally review your Analytics settings to ensure everything is OK.

3. Create the valid hostname filter: Once you are sure the expression is correct, it's time to create the filter to get rid once and for all of Ghost Spam.

How to Create a Valid Hostname Filter to Stop Ghost Spam

To block all ghost spam in Google Analytics, you need to create an include hostname filter:

  1. Go to the Admin tab, and select the view where you want to apply the filter. If you follow the naming above, this will be the Master view or Test view.
  2. Select Filters under the View column, and select + Add Filter
    Add filter button Google Anlaytics
  3. Enter as a name for the filter Valid Hostnames.
  4. In Filter Type, select Custom
  5. IMPORTANT: Make sure you choose Include (you may need to scroll down a little) and select Hostname from the dropdown.
    How to create a valid hostname filter - Google Analytics
  6. Copy and paste the hostname expression that you built into the Filter Pattern box. If you click on Verify this filter, you will get a quick glance of how the filter will work. You should only see spam or irrelevant hostnames on the left side of the preview table.

    If you get the message below, is probably because of the limited data used by this feature

    This filter would not have changed your data. Either the filter configuration is incorrect, or the set of sampled data is too small

    Try verifying it with a quick segment (if you haven't done it yet).

  7. After making sure your filter is ok, Save the filter.

IMPORTANT: This filter will stop most of the spam and doesn't require updates for new ghost spam, but it's essential to update the expression whenever you add the tracking ID to new service or domain.

Prevent any Form of Spam in Google Analytics With the Right Filters.Click To Tweet

b. Creating a filter for Crawler Spam

Crawler spam is harder to detect since it uses a valid hostname, so you'll need a different filter with an expression that matches all known crawler spam.

To save you some time, I've created an optimized REGEX for crawler spam that you'll find below in the instructions, or If you prefer, it can be built the same way as the valid hostname expression. This time, you will use the source (referral) name.

How to Stop Crawler Referrer Spam in Google Analytics

To stop referral spam you will need to create an exclude filter using the campaign source:

  1. Go to the Admin tab.
  2. Under the last column "VIEW", select Filters  and then click + Add Filter 
    Add filter button Google Anlaytics
  3. Enter "Crawler Spam" as a name.
  4. Filter Type > Custom > Exclude
  5. Filter Field > Campaign Source
    How to stop referrer spam in google analytics
  6. Filter Pattern > Paste the following crawler spam expression.

    The following expressions are optimized to block all crawler spam detected over the last couple of years.

    Create 1 filter for each expression

    # Expression 1

    (best|dollar|success|top1)\-seo|(videos|buttons)\-for|anticrawler|^scripted\.|semalt|forum69|7makemon|sharebutton|ranksonic|sitevaluation|dailyrank|vitaly|profit\.xyz|rankings\-|dbutton|uptime(bot|check|\.com)

    # Expression 2

    datract|hacĸer|ɢoogl|responsive\-test|dogsrun|tkpass|free\-video|keywords\-monitoring|pr\-cy\.ru|fix\-website|checkpagerank|seo\-2\-0\.|platezhka|timer4web|share\-buttons|99seo|3\-letter|top10\-way

     

    Receive notifications with the updated expressions whenever I detect a new crawler to keep your reports clean.

    You can click on Verify this filter to have a quick glance of how the filter will work. You should only see referral spam on the left side of the preview table.

    Due the small sample data used by this feature to test the filter, it is very likely that you will get the following message:

    This filter would not have changed your data. Either the filter configuration is incorrect, or the set of sampled data is too small

    If you followed the instructions carefully, don't worry; the filter will work. Alternatively, you can verify the filter with a quick segment.

  7. After everything is set Save.

Note: You may find other referrals that may not be spam, but neither relevant for you. For example, mobile test sites or cache sites. You can create a similar filter with the same configuration and add all the irrelevant referrals there to keep your data pristine and reliable.

Prevent any Form of Spam in Google Analytics With the Right Filters.Click To Tweet

c. Creating a Filter for Fake Languages

This is the latest form of spam in Analytics, the hostname filter will prevent most of it, however, there are a few hits that may sneak in, a kind of mix of crawler and ghost spam.

I prepared the following expression to prevent any language that doesn't have a proper format like en-us, en-uk, es, etc.

To create a language filter follow the same steps as the crawler filter above, just change the filter field to Language Settings, and in the filter pattern box enter the following expression as it is:

\s[^\s]*\s|.{15,}|\.|,
Click "verify this filter" to check if everything is ok. You should see only fake languages on the left side of the preview table.
 

d. Extra: Excluding Internal Traffic

Although this type of traffic is not spam, it can be as dangerous to your analytics. If you don't apply filters for the traffic generated by you or other people of your team, this data will get mixed up with your real visits data, and a difference with the spam, this is much harder to identify later.

To create this filter, you will need the public IP of the network/wifi you want to exclude. You can find it here. You will see something like this  12.345.678.90 or the longer version IPv6

If you need help building this filter and other methods you can find full instructions in this post.

e. Extra: Enabling "Exclude all hits from known bots and spiders"

There are many other crawlers around that are not spam but neither useful for your reports. For example, the ones crawling your site for indexing. This bots will leave a record in your reports if not excluded.

In this case, is a bit easier because Google Analytics has a built-in feature to exclude this traffic.

How to enable bot filtering

Repeat the following steps for all your views

  1. Again in the Admin Tab, select one of your views under the VIEW column in the admin section.
  2. Click View Settings
    Bot Filtering in Google Analytics
  3. Near the bottom check the box Exclude all hits from known bots and spiders (Bot Filtering)
    Exclude all hits from known bots and spiders
  4. Save and repeat the process with all your Views

You can see the more details about Google Analytics Bots and Spider Filtering here.

3. Cleaning up the Spam in Google Analytics (Historical Data)

The spam that is already stored in your Analytics (or any data for that matter) can't be permanently deleted. That is why it is important to create the filters to stop receiving junk traffic.

However, you can still clean your past data affected by spam by using the valid hostname expression you built previously and an advanced segment.

How to Remove the Spam from Google Analytics Historical Data

To eliminate the spam from your Google Analytics historical data you will have to create an advanced segment:

  1. In the Reporting section, click the box that says All Users (at the top of the graph). Next click the red button +NEW SEGMENT
    New Segment GA
  2. In the segment window, almost to the bottom click Conditions 
    advanced-segment-to-remove-referrer-spam
  3. First condition:
    • Filter > SessionsInclude
    • Dropdown 1> Hostname
    • Dropdown 2 > matches regex
    • Textbox > Paste the Hostname Expression that you previously used for the filter.
  4. Click +Add Filter at the bottom to add a new condition.
  5. Second Condition:
    • Filter >Sessions >Exclude
    • Dropdown 1 > Source
    • Dropdown 2 > matches regex
    • Textbox > Paste the Crawler Spam expression

    The following expression is optimized to clean all crawler spam detected over the last couple of years.

    (best|dollar|success|top1)\-seo|(videos|buttons)\-for|anticrawler|^scripted\.|\-gratis|semalt|forum69|7make|sharebutton|ranksonic|sitevaluation|dailyrank|vitaly|profit\.xyz|rankings\-|dbutton|\-crew|uptime(bot|check|\.com)|datract|hacĸer|ɢoogl|responsive\-test|torrent\-to|magnet\-to|dogsrun|tkpass|free\-video|keywords\-monitoring|pr\-cy\.ru|fix\-website|checkpagerank|seo\-2\-0\.|platezhka|timer4web|share\-buttons|99seo|3\-letter|top10\-way

    Get alerted! Receive the updated expressions whenever new crawlers are detected. You will just have to copy paste it in your filter to keep away the spam.

  6. Click the button Or to the left of the condition you just configured
  7. Third Condition
    • Dropdown 1 > Language
    • Dropdown 2 > matches regex
    • Textbox > Paste the following expression

    \s[^\s]*\s|.{15,}|\.|,

  8. Enter All Users - clean" as a name for the segment and Save.

After saving the segment, you will be able to see spam-free reports, as long as the segment is selected. Eventually, the filters will do their work, and you won't need to use the segment anymore.

Prevent any Form of Spam in Google Analytics With the Right Filters.Click To Tweet

Historical Spam List (Crawler and Ghost).

I will keep updated this list. You can keep it as a reference in case you find any suspicious traffic in your Analytics.

Historical Crawler Spam List
bukleteg.xyz abc.xyz lifehacĸer.com
brateg.xyz budilneg.xyz buketeg.xyz
bezlimitko.xyz referral biteg.xyz boltalko.xyz
begalka.xyz / referral alfabot.xyz   arendovalka.xyz 
bank-rot.xyz abcdefh.xyz aptechko.xyz
uptime-alpha.net 3-letter-domains.net / referral uptime.com  
1-free-share-buttons.com timer4web.com success-seo.com
1-99seo.com platezhka.net semaltmedia.com
seo-2-0.com videos-for-your-business.com dailyrank.net
fix-website-errors.com free-video-tool.com magnet-to-torrent.com
keywords-monitoring-your-success.com torrent-to-magnet.com uptimebot.net
sitevaluation.org dogsrun.net ###.responsive-test.net
100dollars-seo.com partner.semalt.com best-seo-solution.com
uptimechecker.com best-seo-offer.com semalt.com
top1-seo-service.com semalt.semalt.com 7makemoneyonline.com
fast-wordpress-start.com dbutton.net justprofit.xyz
wordpress-crew.net video--production.com buttons-for-website.com
anticrawler.org baixar-musicas-gratis.com forum69.info
descargar-musica-gratis.net buttons-for-your-website.com  
Language spam
Secret.ɢoogle.com You are invited! Enter only with this ticket URL. Copy it. Vote for Trump!
"Vitaly rules google ☆*:。゜゚・*ヽ(^ᴗ^)ノ*・゜゚。:*☆ ¯\_(ツ)_/¯(ಠ益ಠ)(ಥ‿ಥ)(ʘ‿ʘ)ლ(ಠ_ಠლ)( ͡° ͜ʖ ͡°)ヽ(゚Д゚)ノʕ•̫͡•ʔᶘ ᵒᴥᵒᶅ(=^ ^=)oO"
o-o-8-o-o.com search shell is much better than google!
Google officially recommends o-o-8-o-o.com search shell!
Language spam: "Congratulations to Trump and all americans" another message supporting Trump
youtu.be/7TD18I0wyEY - youtu.be/BiblCyS8A5I - youtu.be/mMCG3YYacz8 - All World Watching These Videos
List of Legitimate sites targeted by spam
thenextweb.com addons.mozilla.org / page title washingtonpost.com / referral
motherboard.vice.com / referral reddit.com / referral  lifehacker.com  / referral
List of URL's from legit sites showing as Page Title Spam
https://www.blackhatworld.com/seo/this-guy-not-one-f-ck-given.897424/
http://motherboard.vice.com/read/this-pro-trump-russian-is-spamming-google-analytics
http://motherboard.vice.com/read/spammer-now-spamming-google-analytics-with-motherboard-article-on-spam
https://twitter.com/3mapsVitaly
https://www.washingtonpost.com/politics/the-electoral-college-is-poised-to-pick-trump-despite-push-to-dump-him/2016/12/19/75265c16-c58f-11e6-85b5-76616a33048d_story.html?utm_term=.d80e546a6b26
 List of Latest Ghost Spam
MULTIPLE combinations (30+) of fake keywords with sharebutton.to at the end
addons.mozilla.org/en-US/firefox/addon/ilovevitaly/ 0-0-8-0-0.com search shell
eaplay.ru/a00af605 ####-1.insider.pro page title / referral mail.allnews24.in
Advertise.ru okout.ru/a00af605 analytics-ads.xyz
secret.ɢoogle.com  motherboard.vice.com / referral website-analytics.online
bukleteg.xyz abc.xyz eyeserp.com / referral
brateg.xyz budilneg.xyz buketeg.xyz
bezlimitko.xyz biteg.xyz boltalko.xyz
begalka.xyz alfabot.xyz bank-rot.xyz 
arendovalka.xyz / referral abcdefh.xyz aptechko.xyz
abcdefgi.xyz  speedup-my.site addons.mozilla.org / referral
##-1.website-speed-check.site ##-1.website-speed-checker.site ##-1.website-speed-up.top
##-1.website-speed-up.site ##-1.site-speed-check.site  ##-site-speed-up.site 
##-1.site-speed-checker.site  ##-1.site-speed-up.top  24x7-server-support.site
golden-catalog.pro / referral californianews.cf  www1.free-share-buttons.top 
cdn front.to pinkduck.ga fashionindeed.ml 
scanner-[name].top  homemade.gq eyes-on-you.ga
compliance-checker.info cookielawblog.wordpress.com  gq-catalog.gq 
familyholiday.ml / referral compliance-***.top  executehosting.com 
bugof.gq www1.cookie-law.xyz fashionindeed.ml 
wowas31.ucoz.ru  expdom.com nyfinance.ml
globalscam.ga  spin2016.cf popup-jdh.xyz
turkeyreport.tk  alert-jdh.xyz   
Check full historical list of ghost spam (250+)
  Referrer List
####-1.insider.pro page title / referral mail.allnews24.in website-analytics.online
speedup-my.site Fake cookie compliance scanner sites okout.ru/a00af605
analytics-ads.xyz eaplay.ru/a00af605 datract.com
site-auditor.online    
bukleteg.xyz, boltalko.xyz,  5+ from ilovevitaly.com  
Keyword, Page and now Language Spam List
Language spam: "Congratulations to Trump and all americans" the spammer just run out of ideas
Language: Secret.Google.com-Trump Language: "o-o-8-o-o.com search shell" Page title : "Vitaly rules google"
Page: /sharebutton.to Page: /www1.free-share-buttons.top Keyword: cdn front.to
Page title: MULTIPLE page titles showing full URLs of articles talking about one of the spammers.
Keyword: MULTIPLE (30+) combinations ending with sharebutton.to

Security, SEO, Rankings and other Concerns

Because the article was getting too long, I divided the theoretical from the practical part. If you have more questions or concerns, you can also check the FAQ I made about the spam in Google Analytics. Things like:

  • Does the spam harm my SEO-Rankings?
  • Is Google doing something to handle this threat?
  • How does it get in your reports?

These and many other answers and demonstrations.

Other ways of improving your Analytics

Cleaning up your analytics is an important part of getting reliable data. To ensure you get even better insights, I recommend you to follow these best practices.

Conclusion

Google Analytics is a powerful tool that will help you understand your traffic but it will take some work if you want to ensure you receive clean and trustworthy data. Otherwise, you might be pointed to the wrong direction.

"Even on high volume websites were data spamming would be marginal, you still have to explain why there's such a discrepancy. As an analyst you can't dismiss it simply by saying "nah... we're not too sure what it is, but I heard about that spamming thing..."

-Stéphane Hamel

By applying these solutions, you ensure that you will receive accurate data. These solutions have been proven to work for over two years regardless of the tactics used by spammers as the following screenshot shows.

  • Data in blue segment of data showing only the spam in the property
  • Orange line represents the moment when the filters from this guide were applied to that property.

Do you have any Questions/Feedback?

I've tried to cover every important detail in this article, however, if there is any part of the guide where you got stuck, let me know in the comments section below and I'll try to clarify it for you.

Do you want me to review your Analytics and apply these solutions?

Spam hits thousands of Google Analytics users. If this article helped you, please consider sharing it or leaving a comment with your experience. It may help other people! :)

Tired of the Analytics Spam? This guide will help you block any of its forms #NoMoreAnalyticsSpamClick To Tweet
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