When it comes to blocking bad bot activity, it’s often a case of adding known bad bot traffic to your exclusion list. These definitely fall into the good bot category, and ones that you’re better off excluding from your analytics rather than blocking. Much of the Analytics data you see will include crawls from bots such as research tools (e.g: AhrefsBot or SEMrushbot-CT) or indexing for search engines, for example DuckDuckGo, Bing, Yandex et al. If you’ve seen high traffic and you suspect bots, take a look at the geo-locations.įind out more about using Google Analytics in their user guide Do I need to block or exclude Analytics bot data? However, bot visitors don’t always have their location set, which does show in your Analytics dashboard. Look closely at your site visitors, and the location and OS are usually specified. An increase in these non-human style behaviors is a common sign that bots are messing with your site. Probably the most obvious sign that you’re experiencing bot traffic is when you see all the spam comments on your site, the declined card transactions or the leads from nonsense email addresses. BUT… This can also mean that your pages are slow loading or offer a poor user experience, so before you start screaming ‘bot!’ take a look at the fundamentals. If your site is seeing higher than average bounce rates, low session times or a high percentage of single page views, this is another common sign of bot traffic. This is especially true if you also experience some of the unusual metrics listed below. But if none of these apply… It is often a very obvious signal that you’ve been visited by some form of bot traffic. Surges in site traffic don’t always indicate bots, after all some businesses experience random traffic surges from a viral social media post, referral by an influencer or something else. To identify bot traffic in Google Analytics, there are several tell-tale signs which depend on the types of bots visitors you have. Spam bots, spiders and crawling bots, carding bots, and more, all mess up your site traffic data, skew your marketing analytics, and more. However, you might want to exclude them from your Google Analytics data.īut some bots cause all sorts of problems. These good bots are the type that you don’t want to block. And your keyword research also wouldn’t work so well if there were no bots. For example, your website wouldn’t appear on the Google search results pages if it wasn’t for bots. In some cases, we want bots to crawl our websites. These can be many and varied tasks, from collecting data for search results or research tools to scraping your content, spamming up your comments, or clicking on your paid ad campaigns.Īs it has been found that an average of 40% of internet traffic is automated, i.e bots, bot traffic is actually something that is hard to avoid. But how do you spot it in Google Analytics? What is this bot traffic even doing on your website? And, probably most importantly, how can you stop bot traffic from doing whatever bad stuff it’s trying to do? The definition of bot trafficīots are automated scripts that perform processes and tasks on the internet. And understanding which to block can be tricky.Īs a digital marketer, you’ve probably heard a lot about bot traffic and the need to block it. There are many different types of bot, some good, some bad. And with Elon Musk raising the issue of bots on Twitter this year, it’s become an issue that is now in the public eye.Īlthough you can spot bot traffic in Google Analytics, identifying what is going on is not so straightforward. The issue of bot traffic on Google Ads and other paid campaigns is one that has become well known in recent years.
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