Introduction
The recent 20% decline in click-through rate (CTR) for Kuaishou's in-app advertisements is a significant issue that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the CTR drop.
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 factors could explain temporary fluctuations in user behavior. Expected answer: No significant holidays or events during this period. Impact on approach: If confirmed, we'd focus more on internal factors.
Why it matters: Identifying specific affected segments could point to targeted issues. Expected answer: The decline is more pronounced among younger users (18-25). Impact on approach: We'd investigate factors specifically affecting younger users' engagement.
Why it matters: Recent changes could directly impact ad performance. Expected answer: A minor UI update was implemented two weeks ago. Impact on approach: We'd closely examine the impact of this UI change on ad visibility and user interaction.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement or reporting methods. Impact on approach: Confirms the decline is real and not a reporting artifact.
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