How Grainger optimized RUM costs by removing unwanted bot traffic

Bots account for nearly half of all traffic to e-commerce websites, significantly impacting performance metrics and inflating monitoring costs. These automated visitors can distort key performance indicators, making it challenging to get an accurate read on customer behavior. To mitigate the influence of bots, understanding single-user actions that attract unwanted traffic is crucial. Strategies such as avoiding injecting RUM SDK for overt bot traffic or ignoring all one-page sessions can help filter out unwanted traffic from RUM sessions. By identifying and excluding low-value traffic sources like bots and single-page visitors, businesses can significantly reduce unnecessary data collection and costs while improving the accuracy of their insights.