Introduction
Digitas's social media advertising service has experienced a significant 30% drop in client engagement rates over the past month. This decline in a key performance metric requires a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this issue.
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 fluctuations could explain the change without indicating a deeper problem. Expected answer: No, we haven't compared it to last year's data yet. Impact on approach: If seasonal, we'd focus on adjusting expectations and strategies for this period.
Why it matters: Changes in measurement could create false alarms or mask real issues. Expected answer: No changes in the metric definition or measurement process. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
Why it matters: Identifying affected segments could point to specific causes or necessary targeted solutions. Expected answer: The drop seems more pronounced in small to medium-sized business clients. Impact on approach: We'd focus our investigation on factors specifically affecting this client segment.
Why it matters: Platform changes could directly impact engagement rates. Expected answer: A minor UI update was rolled out three weeks ago. Impact on approach: We'd investigate if this update correlates with the engagement drop and how it might have affected user behavior.
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