You boost mobile conversions for Zendo's online retail platform. Simulation Details: Zendo is a leading online retail company with an annual revenue of $2.5 billion and over 10 million active users. The company offers a wide range of products, including electronics, fashion, and home goods. Zendo is committed to leveraging data-driven decision-making to optimize its digital sales channels and enhance customer experience. The company employs advanced analytics tools like Google Analytics and Adobe Analytics to track user behavior, and Optimizely for A/B testing. Recently, Zendo launched a major update to its mobile app, introducing a more user-friendly interface and a faster checkout process. The company targets mobile users aged 25-45, primarily located in urban areas, who favor quick and seamless shopping experiences. The main challenge in this simulation is to address the discrepancy between mobile traffic and conversion rates at Zendo. Despite mobile driving 65% of the traffic, it converts at a rate of 1.5%, compared to desktop's 3%. Specific issues include slow page load times, poor user interface design, and a lack of mobile-specific promotions. Current mobile optimization efforts include A/B tests and recent updates to the mobile app. Competitors like ShopEase and MegaMart have successfully optimized their mobile platforms to achieve higher conversion rates. As the E-commerce Analytics Manager, you must identify key issues affecting conversion rates and convince the Product Lead, Rachel, to prioritize mobile optimizations. As the E-commerce Analytics Manager at Zendo, your mission is to understand user behavior on mobile platforms and develop strategies to improve mobile conversion rates. You will interact primarily with Rachel Whitmore, the Product Lead, who currently believes that desktop optimizations will yield higher immediate revenue gains. Your goal is to present a compelling, data-driven argument to shift Rachel's focus towards mobile optimizations. This involves understanding Rachel's perspective, addressing her concerns, and providing clear evidence to support the proposed mobile strategies. Your actions will include analyzing user behavior, identifying key issues, and presenting your findings to Rachel. - Identify key issues affecting mobile conversion rates through conversation with Rachel. - Develop actionable mobile optimization strategies. - Present a compelling, data-driven argument to Rachel to prioritize mobile optimizations. - Successfully convince Rachel to shift focus towards mobile improvements.