Introduction
The sudden 30% decrease in ARPDAU for Unity Ads' rewarded video ads in our top-grossing game 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 and business.
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 often correlate with performance shifts. Expected answer: A specific date within the last month. Impact on approach: If recent, we'll focus on change-related hypotheses; if not, we'll explore broader issues.
Why it matters: Helps narrow down potential causes and target our investigation. Expected answer: Variation in impact across user segments. Impact on approach: Will guide our data analysis and hypothesis formation.
Why it matters: Technical problems can significantly impact ad performance. Expected answer: Some fluctuation in technical metrics. Impact on approach: If yes, we'll prioritize technical hypotheses; if no, we'll focus more on user behavior or content issues.
Why it matters: Ad content directly affects user engagement and ARPDAU. Expected answer: Some changes in ad content or targeting. Impact on approach: If yes, we'll investigate content-related hypotheses; if no, we'll look more at system or user behavior issues.
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