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Product Management Trade-off Question: Instacart delivery speed versus fees for customer retention

Should Instacart prioritize faster delivery times or lower fees to drive customer retention?

Product Trade-Off Medium Member-only
Trade-Off Analysis Data-Driven Decision Making Customer Retention Strategy E-commerce Food Delivery On-demand Services
Product Strategy E-Commerce Customer Retention Pricing Delivery Optimization

Introduction

The trade-off between prioritizing faster delivery times or lower fees to drive customer retention at Instacart is a critical decision that could significantly impact the company's growth and market position. This scenario touches on the core value proposition of Instacart's service and how it balances customer expectations with operational costs. I'll analyze this trade-off by examining its implications on various stakeholders, potential impacts on key metrics, and propose a data-driven approach to make an informed decision.

Analysis Approach

I'll start by asking clarifying questions, then identify the trade-off type, analyze the product, and develop a hypothesis. Following that, I'll define key metrics, design an experiment, plan data analysis, create a decision framework, and finally provide a recommendation with next steps.

Step 1

Clarifying Questions (3 minutes)

  • Based on recent market trends, I'm thinking customer acquisition costs might be rising. Could you share how our CAC has changed over the past year, and how it compares to our customer lifetime value?

Why it matters: Helps determine if we should focus more on retention vs. acquisition Expected answer: CAC has increased by 20%, approaching our CLV Impact on approach: Higher CAC would lean towards prioritizing retention through lower fees

  • Considering our current market share, I'm curious about our competitive landscape. How do our delivery times and fees compare to our main competitors?

Why it matters: Identifies our unique selling proposition and areas for improvement Expected answer: We're slightly slower but cheaper than our main competitor Impact on approach: Might prioritize faster delivery to differentiate

  • Looking at our user segments, I'm wondering about the price sensitivity of our customer base. Do we have data on how price changes have historically affected order frequency across different user segments?

Why it matters: Helps predict the impact of lowering fees on retention Expected answer: High price sensitivity in the majority of our user base Impact on approach: Could lean towards lowering fees if it significantly boosts order frequency

  • Considering our current tech stack, I'm thinking about the feasibility of improving delivery times. What's our current average delivery time, and what technical challenges might we face in reducing it?

Why it matters: Assesses the difficulty and potential impact of improving delivery speed Expected answer: Average time is 45 minutes, main challenge is optimizing driver routes Impact on approach: If technically challenging, might favor fee reduction strategy

  • Given our current financial position, I'm curious about our ability to absorb lower margins. What's our current profit margin per order, and how much flexibility do we have to reduce fees?

Why it matters: Determines the financial viability of lowering fees Expected answer: 15% profit margin, with some room for reduction Impact on approach: Limited financial flexibility might push towards improving delivery times instead

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