Tips From Semalt: Alternatives To Have An Accurate Data In Google Analytics
The accuracy of your statistics, data, and reports in Google Analytics implies more about your business ideas and expertise. In content marketing, bots, crawlers, and spiders have been adversely affecting user data without their consent. Frank Abagnale, the Semalt Customer Success Manager, says that exclude filters are mostly used by business owners to restrict internal and bot traffic from visiting sites.
Spammers have been using referral spam, malware, and Trojan virus to generate traffic to your site. In most cases, opportunists fake their identity to be seen as big sites visiting your site. Different tools and techniques have been put in place to help content marketers, and business owners differentiate fake and legit traffic. Before blocking bots, it is advisable to note that there exist both good and bad bots.
Aspects Used To Filter Bots And Internal Traffic
A number of aspects are used to filter out malicious websites and fake traffic. Such aspects include hostnames, service providers, location, and IP Address. For instance, a marketer can use a filter with a valid hostname to filter out ghost referrer and traffic. Using proved techniques to filter malware, Trojan virus, and ghost traffic is advocated for.
The Google Analytics mostly stores unfiltered data and records. After requesting for a specific report, Google Analytics revisits your data, filters out ghost spam and bot traffic before submitting the report to you. Specific reports are mostly retrieved by adding advanced segments or adding main dimensions.
The Impact Of Filtered Data On Your Reports
Google Analytics uses sample algorithm to filter and sample your data. Filtering out data is executed through the creation of three views that includes the default view, the test, and the main view. Marketers with the intention of filtering out traffic completely from their sites are advised to avoid sending the data to Google Analytics.
Google Tag Manager helps clients to sort out their traffic into either internal or external traffic before it is sent to the Google Analytics. Below is a step-by-step guide on how data gets into Google Analytics:
- Visitors and clients click through your page
- Google Tag Manager (GTM) loads
- The tag manager runs a Google Analytics Tag
- Your page view is sent to the Google Analytics
- Google Analytics opens your page and runs filters on your pages
- The page view gets listed in the Analytics view
However, the updated process includes only the first three steps. According to experts, using Google Tag Manager has a lot of advantages and benefits as compared to Google Analytics. Regarding business opportunities such as marketing, advertising, surveys, and commerce, Google Tag Manager helps marketers to execute common tasks. Shield your accurate data from bots and internal traffic and enjoy huge returns in your line of business. Google Tag Manager has been playing a vital role towards helping users block unwanted traffic, malware, and Trojan virus making attempts of their accounts and websites. The manager uses information and variables to block the unwanted traffic.