Introduction
The trade-off between increasing daily active users (DAU) and maximizing revenue per user (ARPU) is a critical decision for SnapScan's product strategy. This scenario involves balancing growth and monetization, two fundamental pillars of product success. I'll analyze this trade-off by examining the product context, 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 analysis structure and key areas I'll be covering.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps tailor the strategy to market realities and user needs Expected answer: Mid-sized player, primarily used for peer-to-peer transfers and small business payments Impact: Would focus on either expanding use cases (DAU) or deepening engagement in core areas (ARPU)
Why it matters: Informs which lever (DAU or ARPU) might have a more immediate impact on business goals Expected answer: Revenue from transaction fees, moderate growth but facing increased competition Impact: High growth might favor DAU focus, while mature market could lean towards ARPU optimization
Why it matters: Helps identify where to focus efforts for maximum impact Expected answer: Power users (frequent, high-value transactions) vs. casual users (occasional, lower-value transactions) Impact: Strong power user base might favor ARPU strategy, while large casual user base could benefit from DAU focus
Why it matters: Ensures technical feasibility of growth strategies Expected answer: Current system can handle 2x current DAU without major upgrades Impact: Limited capacity might favor ARPU focus, while excess capacity could support DAU growth
Why it matters: Determines feasibility of different strategies within current resources Expected answer: Teams are at 80% capacity with ongoing projects Impact: Limited bandwidth might favor focused ARPU improvements, while more capacity could support broader DAU initiatives
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