Introduction
The recent 15% decrease in average order value (AOV) for vintage clothing items on Depop is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for the platform.
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 purchasing behavior. Expected answer: The decrease occurred during the transition from summer to fall. Impact on approach: If confirmed, we'd need to compare year-over-year data to isolate seasonal effects.
Why it matters: This helps identify if the issue is global or category-specific. Expected answer: The decrease is more pronounced in higher-priced vintage items. Impact on approach: We'd focus on factors affecting premium vintage clothing sales.
Why it matters: Platform changes can significantly impact user behavior and purchasing decisions. Expected answer: A new recommendation algorithm was implemented two weeks ago. Impact on approach: We'd investigate the algorithm's impact on vintage clothing visibility and sales.
Why it matters: External market pressures can influence pricing and purchasing behavior. Expected answer: A major competitor launched a promotional campaign for vintage items last month. Impact on approach: We'd analyze our pricing strategy and value proposition relative to competitors.
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