Introduction
The sudden 50% decrease in ad revenue from Anghami's free tier service this month is a critical issue that demands immediate attention. As we dive into this analysis, we'll systematically identify potential causes, validate hypotheses, and develop a comprehensive plan to address the root cause while considering both short-term and long-term implications for Anghami's 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. We'll generate data-driven hypotheses, conduct root cause analysis, and ultimately propose a structured plan for validation and resolution.
Framework overview
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 user behavior and ad impressions. Expected answer: Yes, we launched a new UI for the free tier last week. Impact on approach: If true, we'd focus on analyzing the impact of the UI change on user engagement and ad visibility.
Why it matters: A reduction in ad inventory could directly affect revenue. Expected answer: No changes in partnerships, but we're unsure about inventory levels. Impact on approach: If inventory is stable, we'd shift focus to user engagement and ad effectiveness.
Why it matters: Changes in user composition could affect ad targeting and effectiveness. Expected answer: User count has remained stable, but we haven't analyzed recent demographic shifts. Impact on approach: If user count is stable, we'd investigate potential changes in user behavior or ad relevance.
Why it matters: Technical glitches could lead to underreporting or failure to serve ads. Expected answer: No major reported issues, but we haven't done a deep dive into our ad tech stack recently. Impact on approach: If no known issues, we'd still include a technical audit in our investigation plan.
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