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Product Management Trade-off Question: Balancing in-app purchases and player retention in mobile gaming

Asked at King

15 mins

How can King balance increasing in-app purchases without negatively impacting player retention?

Product Trade-Off Hard Member-only
Trade-Off Analysis Experiment Design Metrics Definition Mobile Gaming Free-to-Play Entertainment
Data Analysis User Retention A/B Testing Gaming Industry Monetization Strategy

Introduction

Balancing in-app purchases and player retention is a critical challenge for King. This trade-off involves increasing revenue through purchases while maintaining a positive player experience to prevent churn. I'll analyze this problem by examining the product ecosystem, identifying key metrics, designing experiments, and providing a data-driven recommendation.

Analysis Approach

I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in my analysis.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm assuming we're focusing on King's flagship game, Candy Crush Saga. Is this correct, or should we consider their entire game portfolio?

Why it matters: Different games may have varying monetization strategies and player bases. Expected answer: Focus on Candy Crush Saga. Impact: Narrow analysis to specific game mechanics and player segments.

  • Business Context: Based on recent trends, I'm thinking in-app purchase revenue might be plateauing. Can you share how our IAP revenue has been performing over the last 6-12 months?

Why it matters: Helps understand the urgency and scale of the problem. Expected answer: Slight decline in IAP revenue growth. Impact: May need to focus on aggressive short-term strategies to boost revenue.

  • User Impact: I'm assuming we have different player segments based on spending habits. Can you confirm if we categorize players as non-spenders, occasional spenders, and whales?

Why it matters: Different strategies may be needed for each segment. Expected answer: Confirmation of these segments, possibly with more granular categories. Impact: Tailor solutions to specific player segments and their behaviors.

  • Technical: Considering potential changes, I'm curious about our current A/B testing capabilities. How quickly can we implement and measure new IAP features or offers?

Why it matters: Affects the speed and complexity of potential solutions. Expected answer: Robust A/B testing infrastructure in place. Impact: Enables rapid experimentation and data-driven decision making.

  • Resource: Given the importance of this issue, I'm wondering about our team's capacity. Do we have dedicated resources for IAP optimization, or would this require reallocating from other projects?

Why it matters: Influences the scope and timeline of potential solutions. Expected answer: Limited dedicated resources available. Impact: May need to prioritize high-impact, low-resource solutions initially.

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