![]() Then browse the traffic distribution by choosing a wide date range. In this section, you can see various referral sourced visits and referral information.ĭo you know all the listed sources? Examine them in detail by clicking the Show Rows option at the bottom of the page. Click Referral in the Default Channel Grouping list. Step 1: In the Google Analytics Master View section, select Acquisition from the left side column and select All Traffic and then Channels. Three steps to identify bot traffic in GA Make sure that the Bot Filtering box is ticked in this section. To view this option, go to Admin and then View Settings in Google Analytics. This option filters many bots that Google can identify as a bot or spider. Was there a special campaign or an activity that would lead to an increase in web traffic in March? If not, and the traffic is not internally sourced, it can be concluded that this traffic may be generated by bots.īefore starting this research, it is very important to check whether the standard Google Analytics bot traffic and spider filter is selected in the Analytics settings or not. There are also two other spikes that aren’t in the normal flow of traffic distribution. The screenshot below shows an increase in traffic. You should also set up alerts that notify you automatically when a threshold is reached. ![]() Detecting suspicious activity in GAĭo you review your web traffic and analytics results on a daily or weekly basis? Examining your analytics results regularly and knowing your web traffic and traffic sources can help you identify bot and spam traffic. Doing this will help you make effective data driven decisions. More importantly, it’s vital for your business to be proactive in detecting bot traffic, and then to filter out bot activity. It could also have an impact on overall business performance. This traffic can cause misleading results in your web page data and Google Analytics reports. ![]() Our best advice for now, annoying as it may be, is to ride it out.Bot traffic is the name given to non-human traffic and traffic created by various spiders and programs. In most cases, website owners are seeing a burst of spam for a limited period of time. Using the filter above may help you get a better picture of the true number. However, this number is merely a calculation based on the pageviews in Google Analytics the spam doesn’t impact earnings at all. ![]() If you run ads on your site, and depending on the types of ads you run, you may see a lower-than-normal RPM calculation due to this spam. However, if you want to get a better idea of your real traffic, you may be able to filter it out by following these instructions. The good news is it's not causing any type of security or load issues on your server. ![]() This traffic is often referred to as analytic spam because it only shows up in analytics but doesn't ever register on your server.īecause it's spam that isn't hitting your server, there's unfortunately nothing we can do to block the traffic (as there isn't actually any traffic to block!). The current bot traffic we're seeing is going to nonexistent URLs that end with something like trafficbot.life, bottraffic.live, bot-traffic.icu, trafficbot.live, or bot-traffic.xyz.Īlthough it's hard to say exactly what these bots are after, it's not unusual for a website owner to suddenly notice a large amount of bot traffic in their Google Analytics (or other tracking platform) stats. ![]()
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