Introduction
The recent 15% drop in conversion rate for Bloom & Wild's letterbox flower subscriptions is a concerning trend that requires immediate attention. As we dive into this product root cause analysis, we'll systematically examine potential factors contributing to this decline, generate data-driven hypotheses, and develop a comprehensive plan to address the issue.
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 flower purchases. Expected answer: The drop occurred during a typically high-demand period. Impact on approach: If confirmed, we'd need to investigate why this season differed from previous years.
Why it matters: Different segments may be responding to different factors. Expected answer: The drop is more pronounced among new customers. Impact on approach: We'd focus on acquisition funnel and first-time user experience if this is the case.
Why it matters: Product changes can have unintended consequences on user behavior. Expected answer: A minor UI update was implemented recently. Impact on approach: We'd scrutinize the impact of these changes on the user journey.
Why it matters: Changes in marketing can directly impact conversion rates. Expected answer: Marketing spend has remained consistent. Impact on approach: If unchanged, we'd focus more on product and user experience factors.
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