Introduction
Zulily's 10% decline in average order value (AOV) for women's clothing compared to the same quarter last year is a significant issue that requires thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the e-commerce platform.
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 changes could explain the AOV decline and help us determine if this is a cyclical issue or a more persistent problem. Expected answer: No significant changes in seasonal patterns observed. Impact on approach: If seasonal patterns have changed, we'd need to adjust our benchmarks and expectations accordingly.
Why it matters: Changes in product offerings could directly impact AOV, especially if there's been a shift towards lower-priced items. Expected answer: Some new brands introduced, but no major overhaul of the product mix. Impact on approach: If there have been significant changes, we'd need to analyze the performance of new vs. existing product lines.
Why it matters: Pricing and promotional strategies directly influence purchasing decisions and could explain the AOV decline. Expected answer: Standard promotional calendar maintained, but with some experimentation in discount levels. Impact on approach: If promotional strategies have changed, we'd need to evaluate their impact on AOV and overall revenue.
Why it matters: Technical issues or changes in measurement could lead to misinterpretation of the data. Expected answer: No changes in AOV calculation or reporting methods. Impact on approach: If there have been changes, we'd need to recalibrate our analysis based on the new measurement standards.
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