Introduction
The steady decline in click-through rates (CTR) for Flipp's personalized deal notifications over the past quarter is a concerning trend that requires immediate attention. This issue directly impacts user engagement and the overall effectiveness of our personalization strategy. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term implications for our product.
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 patterns could explain the decline and inform our solution approach. Expected answer: No, this decline is unique to this year. Impact on approach: If seasonal, we'd focus on adjusting our strategy for this period; if not, we'd investigate other factors.
Why it matters: Identifying resilient segments could provide insights into effective personalization strategies. Expected answer: The decline is more pronounced in newer users. Impact on approach: We'd focus on improving onboarding and early personalization for new users.
Why it matters: Recent changes could directly impact user engagement with notifications. Expected answer: A new personalization algorithm was implemented at the start of the quarter. Impact on approach: We'd scrutinize the new algorithm's performance and consider reverting or tweaking it.
Why it matters: External factors could be drawing users away from our notifications. Expected answer: A major competitor launched a similar feature with more aggressive notifications. Impact on approach: We'd need to reassess our notification frequency and value proposition.
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