Introduction
The recent 20% decline in click-through rate (CTR) for sponsored product listings on Alibaba's 1688.com over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering both internal and external factors that may have contributed to this significant drop in 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 e-commerce metrics. Expected answer: Information about recent holidays or events. Impact on approach: If confirmed, we'd need to compare to historical seasonal data.
Why it matters: Recent changes could directly impact CTR. Expected answer: Details of any recent updates or changes. Impact on approach: If changes occurred, we'd focus on their potential impact.
Why it matters: Changes in advertiser mix could affect content quality and relevance. Expected answer: Information on advertiser trends. Impact on approach: If confirmed, we'd investigate the impact of advertiser changes on user engagement.
Why it matters: Segmented data could reveal targeted issues. Expected answer: Breakdown of CTR decline across user segments. Impact on approach: If certain segments are more affected, we'd focus our investigation on those specific user experiences.
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