Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore system-level experimentation strategies for pricing optimization in food technology marketplaces through this 19-minute conference talk from Conf42 ML 2026. Learn how to balance short-term revenue against long-term customer lifetime value when setting delivery fees and understand the critical trade-offs between pricing and order volume. Discover how to measure demand elasticity to quantify how price changes affect customer ordering behavior. Compare A/B testing versus switchback testing methodologies, understanding why traditional A/B tests often fail in marketplace environments due to supply constraints and interference effects. Master switchback experiments that alternate pricing strategies over time, including how to select optimal time windows that balance statistical noise against seasonal variations. Develop skills in evaluating A/B tests using classical hypothesis testing and key performance metrics, while learning advanced techniques for analyzing switchback experiments through change-point detection in time series data. Understand how to establish appropriate change-point thresholds using baseline windows and quantile analysis to make data-driven pricing decisions in complex food delivery ecosystems.
