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Company focus

Zalando

Why has the conversion rate for women's shoes on Zalando dropped 15% in the last week?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Hypothesis Testing E-commerce Fashion Retail Online Marketplaces E-Commerce Conversion Optimization Data Analysis Product Metrics Root Cause Analysis
Product Management Root Cause Analysis Question: Investigating sudden drop in women's shoe conversion rate on e-commerce platform

Introduction

The sudden 15% drop in conversion rate for women's shoes on Zalando is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be a seasonal trend. Has there been any significant change in weather patterns or seasonal events that might affect shoe-buying behavior?

Why it matters: Seasonal factors can greatly influence fashion purchases. Expected answer: No significant seasonal changes noted. Impact on approach: If confirmed, we'd focus more on internal factors.

  • Considering the specificity of the drop, I'm wondering about recent changes. Have there been any updates to the product pages, search algorithms, or recommendation systems for women's shoes in the past week?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: A minor update to product recommendation algorithm was implemented. Impact on approach: This would become a primary focus of our investigation.

  • Given the 15% drop, I'm curious about the affected user segments. Is this decline uniform across all women's shoe categories, or is it more pronounced in specific types (e.g., casual, formal, athletic)?

Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: The drop is more significant in casual and formal categories. Impact on approach: We'd prioritize investigating these specific categories.

  • Considering potential technical issues, have there been any reported problems with site performance, payment processing, or inventory management systems specifically related to women's shoes?

Why it matters: Technical issues can directly impact conversion rates. Expected answer: No major technical issues reported. Impact on approach: We'd shift focus to user experience and product-related factors.

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Updated Nov 19, 2024