Analytics Expert. Passionate about SEO and User Experience or what he calls UX-SEO

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Google shut down the annoying language spam in Analytics

The Russian spammer behind the "Secret.ɢ and vitaly rules" language spam, who has been impersonating and sending spam with the name of known sites like,,, Reddit,, and Google itself, was shut down for a few days, but unfortunately, the spammer found his way back.

This leaves us with two things, (1) Google is well aware of the issue and is working on a solution, (2) the spammers won't leave Analytics alone, they will keep trying to find workarounds to the measures applied by Google.

Who is This Guy and Why is He Messing with Your Analytics?

There are many faces behind the spam in Analytics, however, to most active and the one sending spam as a language at the moment is Vitaly Popov, a well-known Analytics spammer. He was the one who started sending this type spam two years ago allegedly because he was mad at Google for canceling his AdSense account a few years ago, according to an email he sent to

Although he may have started the spam as a sort of revenge, his main purpose has been to drive traffic to his personal sites and what he claims the best search engine. However, lately, he has been using it to promote articles about himself like the one mentioned above. The guy certainly loves attention!

Some of his last attempts failed because Google is filtering out some and even if you see the spam on your real-time report the spam won't be recorded. But unfortunately, as you may have noticed it doesn't take long for the spammer to get back to polluting Analytics.

Secret.ɢ You are invited! Enter only with this ticket URL. Copy it. Vote for Trump

Are We Close to a Definitive Solution from Google?

This is not the first time Google has taken action against Analytic spam. I've been following this issue very closely for nearly two years, and we've experienced periods of calm before, where I assume Google had implemented some measures against the spam.

google working on a solution for the spam in analtyics
This graphs only show common spam and the parts marked in red are weeks of low or non-spam. The waves of spam in your analytics may vary due the big diversity of spam

What were those measures? It's hard to tell exactly; Google hasn't been very public about what they're doing, probably to prevent the spammers figuring out a workaround.

My guess is that if Google hasn't pulled the cord definitely to the spam, is because they can't do it without affecting other essential areas of Analytics.

However, the main issue here though is not whether Google is doing something about it, but the problem is that as soon as one door closes, the spammers will just open another. Google Analytics is far too attractive for the spammers to leave it alone.

And there is no better proof of that than other public online services like your email. Despite years of anti-spam efforts, the spammers find a way around it. So too with your Google Analytics!

What Can You Do to Keep Away the Spam and Protect Your Precious Data?

Be proactive! Maybe you are annoyed by the spam, but it isn't the only thing that can corrupt your data. If you rely on your Google Analytics to make important decisions about your site, you should at least put in some time and effort to configure so that it works as you expect. It is not enough to install the tracking code and let it run.

Many Analytics users get frustrated after spending hours and hours following guides that apply solutions that either just doesn't work or they do but not for long. 

So to avoid wasting your time, I will share with you the same solutions that have worked not only for me but on over 400 sites I've personally helped over the last couple of years.

(click to zoom)

I regularly update the following guide to keep up with the new ways spammers are using to get into your Analytics, however, the core of the guide remains basically the same. I'm not saying that this is the one and only effective anti-spam solution, nor is 100% spam-proof. But I can tell you, though, if you apply these measures, you will spend your "Analytics time" analyzing your data and not fighting spam everytime.

So be proactive and use the ultimate guide to getting rid of the spam and other junk traffic so you can rest assured that the data you see is clean and accurate.

What do you think? Share your opinion

  • What has been your experience with Analytic Spam?
  • Do you find yourself constantly fighting spam?
  • Have you implemented the solution I recommend? Or have you discovered other techniques that work?

Please leave your thoughts in the comment section below. I'd love to hear from you!


Analytics Expert. Passionate about SEO and User Experience or what he calls UX-SEO

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