Introduction
For Just Eat's loyalty program, we're facing a critical trade-off between increasing user engagement through more frequent rewards and maximizing long-term customer value with higher-value, less frequent incentives. This decision will significantly impact our customer retention strategy and overall business performance. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a data-driven recommendation.
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and objectives of this trade-off decision. Then, I'll walk you through my analysis framework, covering product understanding, hypothesis formation, metrics identification, experiment design, and ultimately, a recommendation with next steps.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps understand the urgency and strategic importance of the program Expected answer: Increased competition from new entrants, need to differentiate Impact on approach: Would influence the aggressiveness of the rewards strategy
Why it matters: Informs the balance between short-term costs and long-term value Expected answer: CLV is stable but CAC is increasing Impact on approach: Would lean towards maximizing long-term value if CAC is high
Why it matters: Helps identify which user groups to target and potential impact areas Expected answer: Varied frequency and retention across casual, regular, and power users Impact on approach: Would tailor reward strategies to different user segments
Why it matters: Determines the feasibility of sophisticated reward strategies Expected answer: Basic segmentation possible, working on more advanced capabilities Impact on approach: Would influence the complexity of the proposed reward system
Why it matters: Affects the scope and timeline of program implementation Expected answer: Small dedicated team with support from shared resources Impact on approach: Would impact the rollout strategy and iteration speed
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