APIs are transforming business models by creating opportunities for API as a Product, developer platforms, and partnerships, necessitating comprehensive API Analytics for informed decision-making across various organizational roles, including product, customer success, marketing, and sales teams. API Analytics encompass engineering metrics like performance and uptime, as well as customer-related metrics such as engagement and retention, with methodologies ranging from basic tools like SQL and Excel to specialized API analytics platforms. Different teams prioritize different Key Performance Indicators (KPIs) based on their role and the API's lifecycle stage, emphasizing the need for tailored metric tracking. The concept of the developer funnel, which includes pre-integration, sandbox, and production stages, is crucial, with metrics like Time to First Hello World (TTFHW) and Time to First Working App (TTFWA) being key indicators of progress. Cohort Retention Analysis, which segments users by integration date to track ongoing engagement, is vital for understanding user retention. Additionally, API Analytics should inform sales and marketing efforts, ensuring a seamless developer onboarding process and personalized experiences to attract and retain developers. Organizations must distinguish between synthetic and real user monitoring and avoid vanity metrics to build effective API products.