Semalt: How To Delete Referral Spam From GA

23.05.2018

Semalt: How To Delete Referral Spam From GA

Data spam has always been existent in the web analytics accounts and reports. Moreover, over the past years, data spam has turned out to be a real problem. Data spam, in this context, denotes scammers and spammers that pollutes Google Analytics reports with junk links and contents. The main goal of referral spam is to drive traf c to own websites for ad impressions or push malware into the victim's site. Like email spam, referrals are time wasting and annoying. However, unlike email spam, these nuisances are not visible. It implies that referral spam is embedded in GA reports. The distorting data impacts go unnoticed as a result of referral spam.

Frank Abagnale, the Customer Success Manager of Semalt, elaborates here one practical issues in this regard.

Distorting impacts of data spam One of the most noticeable effects is in ated numbers of traf c – page views, sessions and, visitors. However, the effect is much more signi cant than just traf c numbers. For instance, spam visits cause high bounce rate traf c, non-converting and little engagement. They skew "success metrics" downwards. The denominator contains junk every time any performance percentage or ratio is considered. https://rankexperience.com/articles/article1641.html

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23.05.2018

When "referral traf c" is considered, the problem is signi cant because the main effect is experienced through leads (visitors' traf c) that are received from building af liates, partnerships and, positioning links within social media discussions. It implies that referrals can be valuable traf c. However, spam accounts for over 50 percent of the effect anytime in ated impact on referral visitors only is viewed. This renders the evaluation of referral performance by an internet marketer.

Important lters to remove referral spam Two types of lters can be used to remove referral spam. First, the Hostname Filter which allows own domain name to drive data to the GA. Secondly, a Referral Source Filter that eliminates spam referrers. These two View lters can be applied to GA data for complete removal of referral spam. Admin rights is a must in GA to achieve this ltration.

The Hostname Filter It is regarded as a straightforward lter that tells GA to fetch data that originates from the owner's website only.

Third party reports are excluded. While using this lter, internet marketers should be aware of "googleusercontent."

It is the hostname used by Google when visitors use this search engine's tool known as Google Translate on a site's content or a webpage. Thus, the use of "googleusercontent" within hostname lter captures and allow its content to be displayed in the GA reports.

The Referrer Source Filter It eliminates most of the polluting referrers. Additionally, referrer source lter works perfectly for a wide range of sites. However, it is not a de nitive list because different organizations have distinct spammers that invade their websites. Therefore, site owners are encouraged to apply this lter and evaluate its impact. One important consideration before using this lter is to gather all spammers and separate them into report set (View). In this manner, the exact referral sources can be monitored, hence establishing any false positive.

The historical data Filters have con gurations for eliminating spam. Users might want to remove historically collected spam within Google Analytics. This cannot be permanently achieved by the use of lters. Instead, a unique segment is applied while viewing reports to help remove historical referral spam.

https://rankexperience.com/articles/article1641.html

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