While overall revenue is still growing, the volume of app installs facilitated by AppLovin has turned negative in recent quarters. This divergence is a key warning sign that the company may be hitting a growth ceiling in its core mobile gaming market, forcing it to rely on price increases.

AppLovin represents advertisers on its demand-side platform while also operating the publisher marketplace where ads are sold. This vertical integration, where the company competes within the system it runs, creates potential conflicts of interest and regulatory risks similar to those that led to antitrust action against Google.

Scrutinize the KPIs a company chooses not to highlight. For instance, Lumine and Topicus eschew standard metrics like EBITDA and ARR, instead framing their performance around a custom "Free Cash Flow Available to Shareholders" metric. This reveals their deep focus on cash generation for M&A, not chasing growth narratives.

As a capital-light software business, AppLovin generates massive cash flow with minimal need for capital expenditures, leading to a triple-digit Return on Invested Capital. However, this also signals a lack of organic reinvestment opportunities, which can limit long-term compounding.

Operating without a board until 2018 allowed CEO Adam Ferrogi to reject a $600M acquisition offer, which proved brilliant. However, it also led to a mishandled deal with Chinese investors that dragged on for a year, highlighting how no board increases decision-making volatility.

Early-stage deal diligence often fails due to inconsistencies in the overall story. Red flags include a lack of transparency, financials that don't add up, and misaligned team vision. These narrative cracks signal deeper issues more effectively than any single weak KPI.

The two companies driving the AI boom (implied to be OpenAI and Anthropic) are private, creating significant market opacity. Investors lack the complete financial picture that public companies provide, making it hard to validate claims about profitability. This forces the market to rely on proxy signals and partner commentary.

The CEO intentionally built a performance-based system where advertisers only pay for results. This model eliminates the need for a large sales force because the platform's value is self-evident. It enables small, unheard-of businesses to scale into companies with very large P&Ls purely based on ROI.

To build a data advantage against giants like Meta, AppLovin bought gaming studios not to enter the gaming business, but to create a closed loop for gathering proprietary data. This data was used to train its recommendation engine, and the studios were later divested.