Increasing your web traffic puts your products and services in front of a wider audience. However, as your website or app traffic grows, so will the presence of bot traffic. These bots won’t all be bad, but to minimise friction in the customer experience caused by bad bots and make sure your marketing insights are accurate, you must be equipped with bot traffic detection tools to identify and block bot traffic activity.
It is helpful to work with web engineers and data scientists who can look directly at network requests and identify bot vs. human traffic from the IP address, country of origin and anomalous behaviour, and help you detect malicious bots.
Bot Traffic Detection Methods
With the increase in malicious bot activity on the web, some businesses have embraced artificial intelligence (AI) to identify and block bot traffic. From AI-driven machine learning techniques that look for anomalies in traffic patterns to dynamic Bayesian networks that process user behaviour data over time, there are a number of ways developers can employ this advanced technology against bad bots.
How Can You Detect Bot Traffic
It’s often a tricky question for developers and engineers to answer. A bot may be indistinguishable from any other web user, but there are ways you can use analytics data or even your own browser console logs to help detect bot traffic. Integrated tools, f.ex. Google Analytics, give engineers and data scientists visibility to identify bot traffic indicators such as:
- Unusually high page views
- Unusually high bounce rates
- Very high or very low average session duration
- Fake conversions
- Spikes in traffic from an unusual region
Talk to our team of data scientists today to discover more about our pioneering approach to bot management to help you detect unwanted bot traffic and block it.