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Product Management Root Cause Analysis Question: Investigating Facebook Ad Manager's sudden performance decline

Asked at Meta

15 mins

Ad publishing rate dropped for Facebook Ad Manager. What would you do?

Problem Solving Data Analysis Technical Understanding Social Media Digital Advertising MarTech
User Experience Performance Optimization Root Cause Analysis Technical Troubleshooting Ad Tech

Introduction

The sudden drop in ad publishing rate for Facebook Ad Manager is a critical issue that demands immediate attention and a systematic approach to resolution. As we delve into this product root cause analysis, we'll methodically examine potential factors, gather relevant data, and formulate hypotheses to identify the underlying cause of this performance decline.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • What's the specific timeframe for this ad publishing rate drop?

Why it matters: Helps identify potential correlations with recent changes or events. Hypothetical answer: The drop occurred over the past week. Impact: Narrows the focus to recent changes or issues.

  • Has there been any change in the definition or measurement of the ad publishing rate?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Hypothetical answer: No changes in definition or measurement systems. Impact: Confirms the issue is with actual performance, not data collection.

  • Which user segments or ad types are most affected?

Why it matters: Helps isolate the problem and identify patterns. Hypothetical answer: The drop is most significant for small business advertisers and video ads. Impact: Directs our investigation towards specific user groups and ad formats.

  • Have there been any recent updates to the Ad Manager platform or policies?

Why it matters: Could reveal direct causes related to product changes. Hypothetical answer: A minor UI update was rolled out three days ago. Impact: Provides a potential starting point for technical investigation.

  • Are there any patterns in error messages or user feedback related to ad publishing?

Why it matters: Offers insights into user-facing issues that might not be captured in metrics alone. Hypothetical answer: An increase in timeout errors reported by users during ad submission. Impact: Suggests potential backend or performance issues to investigate.

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