In the complex landscape of retail and e-commerce, customer journeys often involve multiple touchpoints such as ads, mobile apps, emails, and in-store displays, making it challenging to identify the exact factors influencing purchasing decisions. To gain comprehensive insights, businesses need to connect customer behavior directly to outcomes across the customer lifecycle stages of acquisition, engagement, conversion, retention, and growth. Acquisition focuses on attracting new customers and measuring effective channels, while engagement assesses how well customers interact with products. Conversion metrics identify friction points in the purchasing process, and retention metrics evaluate long-term customer loyalty. Growth relies on increasing customer spend and lifetime value through strategies like upselling and cross-selling. LaunchDarkly enhances this process by integrating product analytics and experimentation, allowing teams to measure and improve performance at each lifecycle stage. By connecting feature delivery directly to analytics and enabling experiments, LaunchDarkly facilitates real-time insights and data-driven decision-making, ensuring that retail and e-commerce teams can effectively analyze and optimize customer interactions to drive business impact.