Advancements in technology have helped us propel forward, changing the way we work and live our daily lives. However, its rapid adoption has led to less sombre means. We have all seen and participated in those various bot tests that some websites carry out, where we have to select the picture tiles which have particular objects. The measure is taken by sites to reduce spam traffic.
Spam traffic is used in some cases by cybercriminals to commit scams and fraud and has become a tool for a phishing scam and malware spread. It is problematic as it is inexpensive to create and send. In 2020, spam messages accounted for a colossal 58.71% of email traffic as the graph above indicates.
It also has a negative impact on your Google ranking. No body like spam traffic, including Google. Once the search engine leader identifies increasing bot traffic on a particular website, it starts penalising and push ranking down.
What is Bad Bot?
There are a range of different bots that you find on the backend of the internet carrying out different types of tasks. Some are harmless such as search engine bots used by Google and Bing, which help the service specifically by browsing the internet to help make available content that can be useful to users based on search queries.
However, bad bots are used in an entirely different way to serve a different purpose. These include. Searching sites and scraping data of it to benefit other sites or sell on and steal information and repost it under a different identity.
Bad Bots also can disturb site metrics as they inflate search results and increase website traffic unnecessarily, leading to slower loading times and unnecessary investments in hardware to maintain the website infrastructure. As we can see from the graph below, in 2019, 24% of traffic emanated from the movement of bad bots.
They are also able to perform malicious acts on-site, which lead to damaging networks through things such as distributed denial of service (DDoS) attacks. These attacks flood sites with data higher than a level that it can handle.
Bad Bots are mostly organised on botnets which are a collection of internet-connected devices that have been infected by malware, allowing hackers to control them. Cybercriminals use botnets to instigate a botnet attack, and these attacks consist of malicious activities.
Attacks such as these are hard to prevent as they can come in many shapes and forms as discussed above, such as emails, but they are even harder to control as they are not really considered illegal. It is possible and legal to create a botnet of computers that an individual or company owns which they have permissions to control.
How to Identify Spam Traffic
Traffic bots are likely to be hitting a wide variety of websites every hour, and so, here some insight into how to best identify spam traffic.
Issues With Page Load Speed
Conducting a page load speed test regularly is good practice to identify if a traffic bot has hit your site. If your website loading speeds suddenly looks different between the tests, that’s a good indicator. Although there are many reasons why your loading speed may decrease, especially if you have made some changes, checking the page load speed is the first action and indicator.
Measuring bounce rates also give you a good indication of if your site is being spammed, a high bounce rate means non-human traffic. Measuring a natural audience’s behaviour compared to bot behaviour and analysing the traffic metrics will give you clear indications of if your site is being spammed.
For many websites, the value of the site lies in the content that is placed onto it. The bot has a way of invading sites and duplicating content. If you do find duplicate content that fits words for and comes back with a higher percentage in plagiarism checker, there is a chance your site has been hit by a bot that is scraping the content of your site.
Verifying IP addresses and Sources of Traffic
Other data such as IP Addresses and the sources your traffic is coming from indicate if your site is receiving spammed traffic. Regular and high numbers of return visits from the same IP Address could be an indication that your site is getting bot traffic. If you also see a new increase in traffic from other regions and countries you hadn’t before, there is a good chance that’s a traffic bot. This chart below represents which countries sent the most amount of spam in 2018.
(Source: Digital Information World)
If you keep an eye on site traffic, it will be easy to predict when a traffic bot is hitting your site. When you notice a sudden increase in traffic count to your site all at the same time, chances are your site is being hit by a traffic bot. A high traffic count means a high amount of bots or the same for frequently returning to your site.
How to Block Spam traffic in Google Analytics
1. Filter Traffic Analytics
Monitoring and filtering analytics data from your site gives you a clear and reasonable idea of the types of information and data removed from your site. All you will need to do is create a separate view in your Google Analytics which will give you this information. You can go to the admin section of your google analytics and click on the + on the ‘All website data’ menu. From there, click on ‘create new’ and set an appropriate time zone. This is vital as it will allow you to compare more accurately.
2. Add Personal Spam Referrals
Based on the data that comes from your website, Google analytics is quite good at blocking bots based on the data from your site. However, even after doing the above step, there will still be some referrals that potentially slip through the system. To help catch the ones that slip through, open your referral report and sort you descending data according to bounce rate. This means those with the most bounce rate should be at the top. By using the advance filters, you will be able to see website sessions that go beyond a certain threshold.
3. Block Bots and Spiders That You Detect
(Source: Search Engine Journal)
There’s a chance you could end up with several bots in your SEO traffic which can be a nightmare. However, it is possible to not have to remove them all manually as Google Analytics has buttons which simply click and take care of it all. It will block all the known bots and will save you lots of time and energy.
One of the best things about this is also when it comes across a new bot; Google automatically updates it to get rid of it. Simple click on ‘Exclude all hits from bots and spiders‘ in the new view you created in step 1 under view settings.
Another great tool for identifying bot traffic is Finteza. The tool automatically identifies the quality of incoming traffic and gives it a specific category (e.g. “Clean Traffic”, “Bot traffic”, “Cookie Manipulation”, “Spam”, and more).
4. Setup a Bad Bot Referrer Filter
In the new view you have created, create a new ‘bad referrers’ filter in the view screen by going to ‘Admin’>’ View’>’ Filter’>’ Add Filter’ and create a name for it. Once this is done, click on ‘custom’>’ Exclude’. Once this is done, in the ‘Filter Field’ section click on ‘Campaign Source’. Here you will;l be able to input the domains to keep them off your site.
5. Block Traffic Coming From Specific Countries
Blocking traffic from different countries is only recommended if you are sure you are receiving spam traffic from these specific countries. You wouldn’t want to prevent yourself from getting any kind of traffic that can convert into paying customers and so you need to be confident that traffic is spam. To block spam traffic, go to your admin tab and create a new view. From here click ‘Filters’> ‘New Filter Button’. Here you will be able to filter out your traffic by blocking countries.
One of the most essential parts of blocking bad bots and spam is to work the practice of keeping an eye on it and keeping up to date with it in your weekly, monthly tasks. This is because of the way spamming works and the amount of spam. Although you have set restrictions, you may find that you are getting spammed from other countries or that Google may not have automatically caught the bots, which means you will have to do it manually.