Introduction
The sudden 35% decrease in click-through rates for Rakuten Advertising's display ad campaigns last week is a critical issue that demands immediate attention. This significant drop could have far-reaching implications for our advertising partners and overall revenue. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Campaign changes often directly impact CTR. Expected answer: Yes, we implemented a new AI-driven targeting algorithm. Impact on approach: If confirmed, we'd focus on algorithm performance and data inputs.
Why it matters: Technical problems can cause widespread performance drops. Expected answer: No major outages, but there were some server upgrades. Impact on approach: We'd investigate potential side effects of the upgrades.
Why it matters: External factors could be influencing our performance. Expected answer: A major competitor launched a new ad format last month. Impact on approach: We'd analyze our ad formats and consider innovation strategies.
Why it matters: Changes in ad placement or site design can affect CTR. Expected answer: Several key publishers redesigned their mobile sites. Impact on approach: We'd focus on mobile performance and ad placement optimization.
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