Introduction
The recent 20% decrease in average order value (AOV) for makeup products on Sociolla following the launch of our new mobile app 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 this issue.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Identifying affected segments helps focus our investigation. Expected answer: The decrease is more pronounced among mobile app users. Impact on approach: If confirmed, we'd prioritize mobile app-specific factors in our analysis.
Why it matters: Changes in product mix could explain the AOV decrease. Expected answer: There's been an increase in lower-priced items purchased. Impact on approach: We'd investigate why users are gravitating towards cheaper products on the app.
Why it matters: New discount features could directly impact AOV. Expected answer: The app includes a new "daily deals" section. Impact on approach: We'd analyze the impact of this feature on purchasing behavior.
Why it matters: Technical issues could deter users from completing larger orders. Expected answer: Some users have reported slow load times for product pages. Impact on approach: We'd investigate the correlation between app performance and AOV.
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