Introduction
The recent 15% drop in average order value (AOV) for electronics on Sky.Garden over the past month 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 business.
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: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Different user segments may be responding differently to recent changes or market conditions. Expected answer: The drop is more pronounced among returning customers. Impact on approach: We'd investigate factors specifically affecting loyal customers' purchasing decisions.
Why it matters: Internal changes could directly impact AOV. Expected answer: A new pricing algorithm was implemented last month. Impact on approach: We'd focus on analyzing the impact of the new pricing strategy on customer behavior.
Why it matters: Ensures we're working with accurate data and not chasing a non-existent problem. Expected answer: No changes in calculation method or known data issues. Impact on approach: If data issues are present, we'd prioritize fixing those before further analysis.
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