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Product Management RCA Question: Investigating sudden ad fill rate drop in mobile advertising platform
Image of author vinay

Vinay

Updated Nov 19, 2024

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What caused the sudden 20% drop in ad fill rate for AppLovin Exchange last week?

Data Analysis Problem Solving Technical Understanding Ad Tech Mobile Gaming Digital Advertising
User Acquisition Metrics Analysis Root Cause Analysis Algorithm Optimization Ad Tech

Introduction

The sudden 20% drop in ad fill rate for AppLovin Exchange last week is a critical issue that demands immediate attention. This metric directly impacts revenue and user experience, making it essential to identify and address the root cause promptly. I'll approach this analysis systematically, focusing on data-driven insights and considering both technical and business factors.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent product update. Has there been any significant change to the AppLovin Exchange or related systems in the past two weeks?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was a minor update to the ad serving algorithm. Impact on approach: If confirmed, I'd focus on the update's specifics and potential unintended consequences.

  • Considering the scale of the drop, I'm wondering about the distribution across different app categories. Is the 20% decrease uniform across all app types, or are certain categories more affected?

Why it matters: Uneven distribution could point to specific content or user segment issues. Expected answer: The drop is more pronounced in gaming apps. Impact on approach: I'd investigate gaming-specific factors and potential changes in user behavior or advertiser preferences.

  • Given that fill rate is a complex metric, I'm curious about the components affected. Has there been a change in the number of ad requests, or is it primarily a decrease in filled impressions?

Why it matters: Understanding which part of the equation changed helps narrow down potential causes. Expected answer: The number of ad requests has remained stable, but filled impressions have decreased. Impact on approach: I'd focus on factors affecting ad delivery and matching rather than user engagement.

  • Considering potential external factors, I'm thinking about advertiser behavior. Have you noticed any significant changes in advertiser spending patterns or campaign adjustments during this period?

Why it matters: Advertiser actions can directly impact fill rates. Expected answer: No major changes observed in overall advertiser behavior. Impact on approach: I'd shift focus to internal factors and platform performance issues.

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