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• Post :- 30th May 2025

"Optimize testing design leads to better business outcomes
-Estimate P&L Impact of proposed Loyalty Program features
-ROI maximization and risk mitigation
-Improved decision making via higher confidence in testing outcomes
balanced rigor vs testing speed and size

Identify measurable KPI Metrics
-Identify hypothesis and number of testing/control groups
-Identify KPIs where client can measure true lift in the shortest amount of time (e.g., increased onboard spend, 60-day rebooking rate
-Identify key population segments and determine whether they can feasibly support an A/B/n test

Identify Test and Control Groups
-Determine sample sizes and test duration using Power Analysis to ensure feasibility
-Select testing/control sailings to maximize similarity between testing groups using clustering and optimization techniques
-Optimize guest population to measure KPIs against using a matched-pairing design (not random) and indexing

Evaluate Test's Business Benefit
-Quantify differenc ein guest behavior through statistical tests to determine the signal from the noise
-Evaluate immediate business impacts of the pilot by monitoring short-term KPIs
-Monitor long-term guest behavior with more robust KPIs to augment findings from immediate results"