Introduction
The decline in average order value (AOV) on Rakuten Ichiba by 8% 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 Rakuten's 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: Changes in product offerings or pricing can directly impact AOV. Expected answer: Information about recent product or pricing changes. Impact on approach: If changes are identified, we'll focus on their specific effects on AOV.
Why it matters: Understanding category-specific trends helps pinpoint problem areas. Expected answer: Breakdown of AOV changes by product category. Impact on approach: We'll prioritize investigating categories with the most significant declines.
Why it matters: Shifts in user composition can affect purchasing patterns and AOV. Expected answer: Information on traffic source changes and user demographic shifts. Impact on approach: If significant changes are identified, we'll explore how they relate to AOV decline.
Why it matters: Changes in product discovery can influence purchasing decisions and AOV. Expected answer: Details on recent updates to recommendation or search systems. Impact on approach: If updates occurred, we'll investigate their impact on user behavior and AOV.
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