Can you explain your approach to A/B testing and optimization in digital marketing efforts?
A/B testing is a method where two versions of a webpage or app are compared, with one variable changed to determine which version performs better. This process helps optimize digital marketing efforts by testing different strategies and measuring user engagement and conversion rates. By analyzing these results, marketers can make data-driven decisions to improve campaign effectiveness and drive better results.