Introduction
The recent 20% decrease in average order value (AOV) for Zalando's beauty products following a website redesign is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the AOV decline.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Changes in navigation or recommendations could significantly impact purchasing behavior. Expected answer: Yes, the redesign included changes to the navigation structure and recommendation system. Impact on approach: If confirmed, we'd focus on analyzing user flows and recommendation accuracy.
Why it matters: Ensures we're comparing apples to apples and not missing any definitional changes. Expected answer: No changes in AOV calculation or beauty category definition. Impact on approach: If unchanged, we'd focus on actual user behavior and product performance.
Why it matters: Helps identify if the issue is widespread or concentrated in specific user segments. Expected answer: The decrease is more pronounced among new customers. Impact on approach: We'd investigate onboarding experiences and first-time user journeys more closely.
Why it matters: Isolates the redesign as the primary factor or identifies other potential contributors. Expected answer: A new promotional strategy was implemented alongside the redesign. Impact on approach: We'd analyze the interplay between the redesign and promotional changes.
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