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Pricing
Product Management Trade-Off Question: Balancing Glovo's delivery fees between courier earnings and customer affordability

Asked at Glovo

15 mins

How can Glovo balance increasing delivery fees to improve courier earnings versus maintaining customer affordability?

Product Trade-Off Hard Member-only
Pricing Strategy Stakeholder Management Data Analysis food delivery gig economy e-commerce
User Segmentation Pricing Strategy Marketplace Dynamics Product Economics

Introduction

Balancing courier earnings and customer affordability is a critical trade-off for Glovo's delivery fee structure. This scenario involves adjusting pricing to improve courier compensation while maintaining an attractive value proposition for customers. I'll analyze this trade-off by examining key stakeholders, metrics, and potential outcomes to develop a strategic recommendation.

Analysis Approach

I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in my analysis.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm assuming this is a response to recent courier feedback or market pressures. Could you provide more context on what's driving this consideration?

Why it matters: Helps understand the urgency and potential external factors Expected answer: Courier retention issues or competitive pressure Impact on approach: Would influence the balance between short-term and long-term solutions

  • Business Context: Based on Glovo's business model, I'm thinking delivery fees are a significant revenue source. What percentage of our revenue comes from delivery fees versus other sources like commissions?

Why it matters: Helps quantify the financial impact of fee changes Expected answer: 30-40% from delivery fees Impact on approach: Higher percentage would require more cautious changes

  • User Impact: I'm assuming we have different user segments. Can you share insights on price sensitivity across our main customer segments?

Why it matters: Allows for targeted fee adjustments Expected answer: Varying price sensitivity among casual, frequent, and business users Impact on approach: Would inform segmented pricing strategies

  • Technical: Considering our current system, how flexible is our pricing engine to implement dynamic or segmented pricing?

Why it matters: Determines the feasibility of complex pricing solutions Expected answer: Moderately flexible, but requires development time Impact on approach: Would influence the complexity of proposed solutions

  • Timeline: Given the nature of this trade-off, I'm thinking this isn't an overnight change. What's our timeline for implementing and seeing results from any fee structure changes?

Why it matters: Helps set realistic expectations for impact measurement Expected answer: 3-6 months for implementation and initial results Impact on approach: Would affect the scope and phasing of the proposed solution

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