Register a Google Analytics profile first
Go to the austria phone numbers Google Analytics Admin console.
Then select the View option, then select View settings.
To access bot filtering options, scroll down.
If the box is not checked, click Check.
Then click save.
The second option is to create a filter to block any unusual activity you encounter.
You can create new views where the bot checkbox is disabled and filters that remove malicious traffic.
Add criteria to Master View after checking that it works
Third, you can use the Referral Exclusion List, which can be found in the admin area below the tracking data within the properties field.
You can remove sites from Google Analytics metrics using this list. This way, you can exclude suspicious URLs (Uniform Resource Locators) from your subsequent data by including them in this checklist.
How can I monitor bot activity on my website?
1. Extremely high number of page views
Bots are usually blamed when a site experiences a sudden, unexpected, and unprecedented spike in page traffic.
2. Extraordinarily increased bounce rate
Bounce rate is the proportion of visitors who land on your site but do nothing while they're there. An unexpected increase in bounce rate may indicate that a bot has already redirected to a page.
3. Unexpectedly long or short session duration
The time a visitor stays on a site is called the session duration. Human nature wants this to remain constant. However, an unexpected increase in session length can be caused by an unusually slow bot surfing the site. Conversely, if the session duration is short, a bot may be able to crawl a web page much faster than a person.
4. Waste conversion
An increased percentage of fake conversions can be used to identify spam conversions, which show an increase in profile creation with unreasonable email accounts or filling out web forms with fake names, mobile numbers, and addresses. Visitors are increasing from surprising places.
Another common sign of bot activity is a spike in web traffic from a particular geographic region, especially where there is suspicion that a native speaker speaks the language used to build the site.
