Data-driven companies not only collect and report the data but actively work to drive value from that data. A/B testing, or experimentation, is one of the most common ways to drive value. Data collection and analysis lets you find the opportunities to improve, and A/B testing lets you figure out how to capitalize on those opportunities. Anil shares 10 A/B testing tips that he has gathered from his own work and the hard-earned lessons of others in the field. These tips will help you get the right organizational support and effectively run and analyze your data. You will walk away with tips that you can apply immediately to maximize the impact of your online experimentation efforts.