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Product Management Root Cause Analysis Question: Investigating delayed Instagram ad performance metrics
Image of author vinay

Vinay

Updated Dec 6, 2024

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Asked at Meta

15 mins

Why are Instagram Ads performance metrics delayed by 6 hours?

Problem Solving Data Analysis Technical Understanding Social Media Advertising Data Analytics
Instagram Performance Metrics Root Cause Analysis Ad Tech Data Processing

Introduction

Instagram Ads performance metrics delayed by 6 hours presents a critical issue for advertisers and the platform's reliability. This delay impacts real-time decision-making and campaign optimization, potentially leading to inefficient ad spend and reduced advertiser confidence. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both immediate and long-term solutions.

Framework overview

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

Step 1

Clarifying Questions (3 minute)

  • Looking at the timing, I'm thinking this might be a recent change. Has this 6-hour delay always been present, or is it a new development?

Why it matters: Helps distinguish between a longstanding issue and a recent change, guiding our investigation. Expected answer: It's a recent change within the last week. Impact on approach: If recent, we'd focus on recent system changes or updates.

  • Considering the complexity of ad metrics, I'm wondering if this delay affects all metrics or specific ones. Are all Instagram Ads performance metrics delayed, or just certain ones?

Why it matters: Narrows down the scope of the problem and potential causes. Expected answer: The delay affects all core metrics (impressions, clicks, conversions). Impact on approach: If all metrics are affected, we'd look at broader system issues rather than metric-specific problems.

  • Given the potential impact on advertisers, I'm curious about the scale. What percentage of advertisers or campaigns are experiencing this delay?

Why it matters: Helps determine if it's a universal issue or affecting a subset of users. Expected answer: The delay is affecting 100% of advertisers and campaigns. Impact on approach: A universal issue suggests a core system problem rather than a segmented or isolated issue.

  • Thinking about data processing pipelines, I'm wondering about the normal processing time. What was the typical delay for these metrics before this issue arose?

Why it matters: Establishes a baseline for normal performance and the extent of the current delay. Expected answer: Metrics were typically available within 1-2 hours. Impact on approach: This significant increase in delay time would focus our investigation on recent changes to data processing or reporting systems.

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