Introduction
The 8% decrease in Average Revenue Per User (ARPU) for Telefónica's prepaid mobile plans is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the business.
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: Seasonal patterns could indicate cyclical behavior rather than a persistent problem. Expected answer: The decrease is consistent across quarters. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Identifying specific affected segments could pinpoint targeted issues. Expected answer: The decrease varies across segments, with younger users showing a larger drop. Impact on approach: We'd prioritize investigating and addressing issues specific to the most affected segments.
Why it matters: Product changes could directly impact ARPU. Expected answer: Minor tweaks were made to some plans, but no major overhauls. Impact on approach: We'd analyze the impact of these changes and consider reverting or further optimizing them.
Why it matters: External market forces could be driving the ARPU decrease. Expected answer: A new competitor entered with aggressive pricing six months ago. Impact on approach: We'd focus on competitive analysis and potential repositioning strategies.
Why it matters: Ensures we're comparing apples to apples and not chasing a data anomaly. Expected answer: No changes in calculation or measurement systems. Impact on approach: If changes occurred, we'd need to recalibrate our analysis based on consistent metrics.
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