Introduction
The recent 8% decrease in click-through rates on Baidu Search ads is a concerning trend that requires immediate attention. As we analyze this product issue, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications for Baidu's ad performance.
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 ad performance. Expected answer: Yes, it has been compared, and the decrease is still present. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than month-to-month.
Why it matters: Identifying affected segments can pinpoint the issue's source. Expected answer: The decrease is more pronounced in mobile users. Impact on approach: We'd prioritize investigating mobile-specific factors and user experience.
Why it matters: Recent changes could directly impact click-through rates. Expected answer: A minor UI update was implemented two weeks ago. Impact on approach: We'd focus on analyzing the impact of this UI change on user behavior.
Why it matters: External factors could be influencing user behavior across the industry. Expected answer: No significant changes noted in competitor strategies. Impact on approach: We'd focus more on internal factors rather than market-wide trends.
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