Introduction
The 15% decline in ad completion rates for Conviva's Ad Insights product, specifically for a top broadcaster's live sports content, is a critical issue that demands immediate attention. This metric directly impacts revenue and user experience, making it essential to identify and address the root cause promptly. I'll approach this problem systematically, focusing on data-driven analysis and strategic decision-making to uncover the underlying factors and develop effective solutions.
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 variations can significantly impact viewing patterns and ad engagement. Expected answer: The decline doesn't align with typical seasonal patterns. Impact on approach: If seasonal, we'd focus on content strategy; if not, we'd look deeper into technical or user experience issues.
Why it matters: Changes in audience composition could explain engagement differences. Expected answer: No significant changes in viewer demographics have been observed. Impact on approach: If demographics shifted, we'd tailor ad content; if not, we'd investigate other factors affecting engagement.
Why it matters: Technical changes could inadvertently affect ad performance. Expected answer: A minor update was rolled out to the ad insertion algorithm. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd look at external factors or gradual shifts in user behavior.
Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes in measurement methodology or tools. Impact on approach: If changes occurred, we'd recalibrate our analysis; if not, we'd focus on actual performance issues.
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