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Company focus

Just Eat
Product Trade-Off Hard Member-only

For Just Eat's loyalty program, should we focus on increasing user engagement through more frequent rewards or maximizing long-term customer value with higher-value, less frequent incentives?

Prepared by NextSprints

15 mins
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Strategic Thinking Data Analysis Experiment Design Food Delivery E-commerce Customer Loyalty Product Strategy User Engagement Food Delivery Customer Retention Loyalty Programs
Product Management Trade-Off Question: Just Eat loyalty program balancing frequent small rewards vs. high-value incentives

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.

Analysis Approach

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)

  • Based on the current market dynamics, I'm thinking this loyalty program might be a response to increased competition. Could you provide some context on the competitive landscape and how this program fits into our overall strategy?

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

  • Considering our business model, I assume we're looking at this from a unit economics perspective. Can you share how our current customer lifetime value (CLV) and customer acquisition cost (CAC) are trending?

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

  • Looking at user behavior, I'm curious about our current order frequency and retention rates. Do we have data on how these metrics vary across different user segments?

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

  • From a technical standpoint, I'm wondering about our current capabilities for personalization. How granular can we get with targeting rewards to specific user behaviors or preferences?

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

  • Regarding resources, what's our current capacity for managing and iterating on the loyalty program? Are we looking at a dedicated team or shared resources?

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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Updated Jan 22, 2025