Bot Filtering


'Bot Filtering' in web analytics is the process of identifying and removing bot traffic from data sets. This practice is crucial for ensuring the accuracy of analytics data, as bot traffic can significantly distort metrics such as page views, session duration, and bounce rates.

Effective bot filtering helps in providing a true representation of human user interactions on a website. It allows businesses to make data-driven decisions based on accurate and reliable analytics data, free from the influence of non-human traffic.

Bot filtering techniques have evolved to combat increasingly sophisticated bots. This includes the use of machine learning algorithms and pattern recognition to identify and filter out malicious bot traffic, safeguarding the integrity of web analytics data.

Data Science & Visualization
Digital Marketing
Web Development
Go to rest of Glossary

Related Definitions

  • Cookies
  • Tag
  • Tag Management System

Get in Touch

Let’s talk about what an analytical digital experience agency like Tribalism could do for your company!

Find us at the office

Lvl 1, 25 King Street
3000, Melbourne, VIC

Give us a ring

Tribalism Team
+61 1300 151 387
Mon - Fri, 9:00-17:00

Contact Us