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Product Management Trade-off Question: Balancing personalized recommendations with new brand discovery on Zalando's platform

How can Zalando balance personalized recommendations with showcasing new brands?

Product Trade-Off Medium Member-only
Trade-Off Analysis Experimentation Design Data-Driven Decision Making E-commerce Fashion Retail Personalization Technology
User Experience Product Strategy Personalization E-Commerce Brand Discovery

Introduction

Balancing personalized recommendations with showcasing new brands is a critical trade-off for Zalando's product strategy. This scenario involves weighing the benefits of tailored user experiences against the need to introduce fresh, potentially appealing brands to our customer base. I'll analyze this trade-off by examining its impact on user engagement, revenue, and long-term platform growth.

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)

  • Based on Zalando's business model, I'm thinking personalization is a key driver of customer retention. Could you share how much of our current revenue comes from repeat purchases driven by personalized recommendations?

Why it matters: Helps quantify the value of personalization Expected answer: 60-70% of revenue from personalized recommendations Impact on approach: Higher percentage would prioritize maintaining personalization accuracy

  • Considering our growth strategy, I assume introducing new brands is crucial for expanding our product offerings. What's our target for new brand additions this year, and how does it compare to previous years?

Why it matters: Indicates the strategic importance of new brand showcasing Expected answer: 20% increase in new brands compared to last year Impact on approach: Higher target would emphasize the need for effective new brand exposure

  • Looking at user behavior, I'm curious about the click-through rates for personalized recommendations versus new brand showcases. Do we have data on how these compare?

Why it matters: Helps understand current user preferences and engagement Expected answer: Personalized recommendations have 2-3x higher CTR Impact on approach: Smaller gap would suggest more room for new brand integration

  • Regarding our technical capabilities, how sophisticated is our current recommendation engine? Can it incorporate new brands into personalized suggestions based on similar attributes?

Why it matters: Determines feasibility of integrating new brands into personalization Expected answer: Current system can partially incorporate new brands Impact on approach: More advanced system would allow for smoother integration of new brands

  • Considering resource allocation, what's the current split between teams working on personalization versus new brand onboarding and promotion?

Why it matters: Indicates current prioritization and potential for reallocation Expected answer: 70% personalization, 30% new brand efforts Impact on approach: More balanced allocation might suggest easier implementation of hybrid strategy

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