The method
Use in any LLM. Copy/paste prompts directly. Ideal for analyzing complex datasets. Tailor prompt by specifying target e-commerce sectors and regions. Adjust the 'depth' parameter for granularity.
The prompts
Prompt 1
Analyze the e-commerce growth strategies in the fashion industry across North America, Europe, and Asia over the last 5 years. Focus on identifying key trends, successful tactics, and potential challenges. Provide a detailed comparison of marketing approaches, supply chain management, and customer retention techniques. Evaluate the role of social media, mobile commerce, and personalized marketing in driving growth. Furthermore, analyze the impact of economic factors, regulatory changes, and technological advancements on e-commerce expansion in each region. Conclude with actionable recommendations for businesses seeking to optimize their e-commerce strategies in the fashion industry. The depth of the analysis should be 'high'.
Prompt 2
Compare the growth of subscription-based e-commerce models in the food and beverage sector versus the cosmetics industry, specifically targeting the US and the UK markets. Investigate the customer acquisition costs, churn rates, and average order values for both sectors. Identify the primary drivers of growth and the most effective strategies for retaining subscribers. Evaluate the impact of sustainability practices, ethical sourcing, and personalized product offerings on customer loyalty. Analyze the regulatory landscape and the competitive environment in each market. Provide insights into emerging trends, such as the use of AI-powered personalization and the integration of social commerce. Conclude with a comparative assessment of the long-term growth potential of subscription-based e-commerce in the food/beverage and cosmetics industries. The depth of the analysis should be 'medium'.