March Madness captivates many with its bracket predictions, despite the staggering odds of success, drawing a parallel to traditional analytics strategies which are often based on educated guesses and require substantial upfront effort. Both scenarios involve static decision-making and are susceptible to unforeseen factors that can significantly affect outcomes, such as unexpected game upsets or changes in customer behavior, leading to financial implications. Unlike static tracking plans, user analytics platforms like Heap offer agility by automatically capturing all user interactions, enabling retroactive analysis and more informed, dynamic decision-making. This flexibility allows businesses to adapt to new insights, enhancing conversion rate optimization and product strategies, much like the wishful flexibility of updating a March Madness bracket in real-time.