Your go-to guide for Online Bot Filtering

Statsig has implemented bot filtering by default to improve the accuracy of data analysis and experiments by eliminating the noise introduced by digital bots and web crawlers. Bots can significantly skew experiment results by inflating exposure counts and introducing variance, which affects metrics' absolute values and confidence intervals. By removing bots, Statsig enhances experimental power and sensitivity, allowing for more accurate decision-making with less data. The filtering process leverages browser names to identify bot traffic, ensuring cleaner data and reducing storage and computation costs. This feature is automatically applied to all exposures, but customers have the option to opt out or control which features bots can access. Additionally, any bot-generated events are excluded from billing, offering potential cost savings for customers.