Online Services

Users form the foundational source of value for any internet platform; absent continuous user expansion and high-frequency engagement, subsequent monetization efforts and ecosystem development cannot take hold. Our objective is to identify platforms that continue to exhibit robust or even accelerating user growth, or those where overall scale may be stabilizing but engagement depth and participation metrics are still meaningfully improving—while avoiding names where user growth has plateaued, and activity levels are deteriorating. We track levels, growth rates, and industry rankings of monthly active users (MAU) and daily active users (DAU). More critically, we analyze engagement depth indicators such as average daily time spent and next-month retention rates. Data interpretation is contextualized by product lifecycle stage: for platforms in growth mode, priority is given to user growth rates and market penetration; for mature platforms, emphasis shifts to stickiness, penetration gains among specific cohorts, and progress in international expansion.

We concentrate on a platform’s ability to effectively convert traffic and user attention into sustainable revenue. The focus is on high-quality growth—revenue expansion that stems from genuine value extraction from users rather than degradation of the user experience. We seek companies with clearly articulated and well-executed strategies for increasing per-user value, enabling monetization progress to drive concurrent margin expansion. The central metric is average revenue per user (ARPU) and its trend trajectory. We decompose ARPU growth drivers to distinguish between improvements in payment penetration rates versus increases in average spend per paying user. Across business models—whether advertising, transaction commissions, subscriptions, or value-added services—we examine efficiency indicators such as ad load and effective cost per mille (eCPM), platform gross merchandise volume (GMV) paired with take rates, subscription gross margins, and related metrics. Sustainable improvements in monetization efficiency should reinforce a virtuous cycle with user scale and data accumulation.

Network effects represent the most formidable and durable moats in online service business models. Our objective is to invest in platforms where these effects are both significant and actively strengthening. For such platforms, value scales exponentially with user growth, creating formidable barriers that new entrants struggle to overcome and thereby securing long-term profit sustainability and pricing power. We distinguish between direct network effects (user-to-user interactions) and indirect, data-driven effects by examining interaction density among users, content generation volume, and supply-demand matching efficiency. We assess multi-homing costs—the friction users face when simultaneously using competing platforms—as a key indicator of lock-in. Moat depth is ultimately reflected in switching costs, brand mindshare dominance, and ecosystem completeness. Platforms with robust network effects see their competitive advantages deepen progressively over time.