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Since many of these spam bots are fly-by-night and here today, gone tomorrow, you have to constantly keep up with the newest batches of bots. They excel where custom filters fall short by removing historical data that may distort overall traffic figures. Setting up advanced segments to remove referral spamĪdvanced segments are temporary filters that do not permanently remove data and traffic. So what is the best tactic to ensure all your data is as accurate is possible? Use advanced segments to remove referral traffic from your historical data. htaccess file can block traffic from known bots the only issue with this tactic is new bots appear every month and will inevitably corrupt your historical data. Of course, creating custom advanced filters and updating the. Clicking the Bot Filtering button under View Settings in the admin panel is always recommended, but it hasn’t proven effective for eliminating all referral spam. Spam bots reside all over the globe so this tactic may not catch everything. Filtering by country is somewhat effective, but is not advised for international websites where legitimate traffic from those countries may be filtered out. Using the referral exclusion list will record the referral spam as direct traffic but it won’t eliminate it. The most common advice includes adding these spam sites to the referral exclusion list, filtering out countries where referral spam commonly originates, or simply clicking the Bot Filtering button that excludes all hits from known bots and spiders. You will find many articles online recommending tactics for eliminating referral spam, but these recommendations are often inaccurate or ineffective. What should I do to eliminate referral spam? Notice the difference in this site’s referral traffic metrics with spam referrals filtered out:Īlthough more than half of all sessions are filtered out, there’s a dramatic improvement in the bounce rate, pages per session, and average session duration. Depending on the amount of overall traffic your site gets per month, having hundreds of spam referral sessions recording a high bounce rate, no time on site and one page per session can significantly impact these valuable metrics. Why is this bad? In addition to inflating the number of referral sessions, it also significantly impacts engagement metrics. That is, until you take a look at the engagement metrics.īeyond the obviously spammy names of many of these referring sites, (i.e., and ), referral spam commonly records traffic sessions with 100 percent bounce rate and 0:00 average time on site. Often, you will see a huge spike in referral traffic and initially think someone built a great link that’s bringing in a lot of new, interested users to the site.
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How to identify referral spam and why it should be removed However, their sleazy marketing tactics make trusting them a highly dubious feat. Some referral spam sites (including Semalt, which pioneered the referral spam practice) do provide a genuine service. Most of the time, these referral spam sites lead to fake or potentially malicious websites commonly hosted in countries like Russia, Indonesia, and Brazil.
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The goal of this spamming tactic is for users to find these URLs in their referral traffic data and visit the website, effectively as a free form of advertising. Referral spam, also known as ghost referrals, is fake referral traffic recorded in Google Analytics using spam bot crawlers.
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This post will cover how to identify referral spam, why referral spam needs to be removed from reports, and finally, how to eliminate referral spam from Google Analytics. For our initial installment of #MetricsMonday, we are tackling the frustrating spam technique that’s been ruining analytics data for over a year with no end in sight: the dreaded referral spam.