I want to distinguish real users from bots in my click statistics so the numbers are more reliable.

This feature helps separate human activity from bot-generated clicks in your click statistics. By filtering or classifying traffic, it improves the reliability of your metrics so you can make decisions based on more accurate data.

This feature distinguishes real users from bots within your click statistics to make reporting more trustworthy. It identifies and classifies clicks that appear automated so they can be separated from likely human interactions. You can use the resulting view to focus on genuine engagement when evaluating performance. This improves the accuracy of click-through measurements and reduces the impact of inflated or misleading counts. It is useful for analyzing campaigns where automated traffic may distort results. It also helps when comparing performance over time, since bot spikes can create false trends. Teams can rely on cleaner metrics when deciding where to invest budget or which channels perform best. The feature supports more confident reporting by clarifying how much activity is likely human versus automated. Overall, it increases data reliability for analytics, optimization, and stakeholder communication.