Introduction
The recent 15% drop in average order value (AOV) for luxury handbags on Farfetch is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the issue.
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: Seasonal trends can significantly impact luxury purchases. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on year-over-year comparisons instead of quarter-to-quarter.
Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A new product recommendation algorithm was implemented. Impact on approach: We'd prioritize analyzing the effectiveness of the new algorithm.
Why it matters: Changes in available inventory could directly affect AOV. Expected answer: No major changes in brand mix, but some new lower-priced items were added. Impact on approach: We'd investigate the impact of these new items on overall AOV.
Why it matters: Competitive pressures could be driving customers to lower-priced options. Expected answer: A major competitor launched an aggressive discount campaign. Impact on approach: We'd analyze our pricing strategy and value proposition relative to competitors.
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