What factors are contributing to the sudden 30% decrease in ad revenue for Tripledot's Solitaire game in the last week?

Introduction

The sudden 30% decrease in ad revenue for Tripledot's Solitaire game in the last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product specifics, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and next steps.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent update. Has there been any significant change to the game or ad implementation in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an update to the ad SDK. Impact on approach: If confirmed, I'd focus on technical issues related to the new SDK.

• Considering user segments, I'm curious about the distribution of the revenue drop. Is the 30% decrease uniform across all user segments, or are some groups more affected?

Why it matters: Uneven impact could point to specific user experience issues. Expected answer: The decrease is more pronounced in the iOS user segment. Impact on approach: I'd investigate iOS-specific issues and potential App Store policy changes.

• Given the nature of ad revenue, I'm wondering about the ad fill rate. Has there been any noticeable change in the ad fill rate coinciding with the revenue drop?

Why it matters: Ad fill rate directly impacts revenue and could indicate supply-side problems. Expected answer: The fill rate has remained stable. Impact on approach: If stable, I'd shift focus to other factors like eCPM or user engagement.

• Thinking about user behavior, have you noticed any significant changes in daily active users (DAU) or session length during this period?

Why it matters: Changes in user engagement could explain the revenue drop. Expected answer: DAU has remained stable, but session length has decreased. Impact on approach: I'd investigate factors affecting user session length and ad viewing behavior.