Introduction
The sudden 30% decrease in ad revenue from iQiyi's streaming service yesterday is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a methodical examination of potential causes, data analysis, and hypothesis formation. We'll then move on to root cause analysis, validation steps, and finally, propose a comprehensive resolution plan.
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: Recent changes could directly impact ad performance. Expected answer: Yes, there was a minor update to the ad serving algorithm. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at external factors.
Why it matters: Helps identify if the issue is global or specific to certain users. Expected answer: The decrease is more pronounced in mobile users. Impact on approach: If segmented, we'd focus on the most affected group; if uniform, we'd look at system-wide issues.
Why it matters: Ensures we're not dealing with a data anomaly. Expected answer: Yes, the tracking systems have been verified and are working correctly. Impact on approach: If verified, we proceed with analysis; if not, we first address measurement issues.
Why it matters: External factors could explain the sudden decrease. Expected answer: No major external events noted. Impact on approach: If yes, we'd factor in these external influences; if no, we'd focus more on internal factors.
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