Introduction
The 15% drop in Akulaku's 30-day retention rate for their buy-now-pay-later (BNPL) service is a critical issue that demands immediate attention. This decline could significantly impact customer lifetime value, revenue, and overall business health. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to reverse this trend.
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 fluctuations could explain the drop without indicating a larger problem. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Identifying affected segments helps pinpoint potential causes and tailor solutions. Expected answer: The drop is more significant among first-time BNPL users. Impact on approach: We'd focus on onboarding and early user experience improvements.
Why it matters: Product changes often impact user behavior and could explain retention shifts. Expected answer: A new credit assessment algorithm was implemented. Impact on approach: We'd investigate the algorithm's impact on user approval rates and limits.
Why it matters: Increased competition could be drawing users away from Akulaku's service. Expected answer: Two new BNPL providers entered the market last quarter. Impact on approach: We'd analyze competitor offerings and Akulaku's market positioning.
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