Introduction
The unexpected 25% decline in ShopBack's affiliate marketing click-through rates for electronics categories over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product strategy.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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: Recent changes could directly impact click-through rates. Expected answer: Yes, there was a UI update two weeks ago. Impact on approach: If confirmed, I'd focus on the UI change as a primary hypothesis.
Why it matters: Different impacts on user segments could indicate specific user experience issues. Expected answer: The decline is more pronounced among new users. Impact on approach: I'd investigate onboarding and first-time user experience if this is the case.
Why it matters: Category-specific changes could explain why only electronics is affected. Expected answer: No major changes in product mix or pricing. Impact on approach: If confirmed, I'd look more closely at competitor actions or market trends.
Why it matters: Technical issues could lead to misreporting of click-through rates. Expected answer: No changes to tracking systems. Impact on approach: If changes occurred, I'd prioritize validating our data collection methods.
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