Root is a U.S. personal auto insurer that prices policies based on individual driving behavior rather than traditional demographic proxies like age or credit score. Root collects telematics data — braking, turning, time of day, distracted driving — through its smartphone app, and uses machine learning models trained on that data to assess risk and set rates. The premise is that behavioral data more accurately predicts accident risk, allowing Root to offer lower prices to safer drivers while avoiding the riskiest ones. Root operates as a full-stack carrier, handling underwriting, policy administration, and claims in-house, and currently operates in 36 states. Root reaches customers through two channels: direct (digital performance marketing, referrals, and direct mail) and partnerships (embedding its product within third-party platforms like Carvana and Experian, and through independent agents via comparative rating platforms). The partnership channel is growing faster, with independent agents now accounting for roughly half of partnership new writings. Root's profitability hinges on its combined ratio — claims and expenses as a percentage of earned premium — and the company targets a long-term gross loss ratio of 60%–65%. Key profitability drivers include pricing accuracy, customer acquisition costs, renewal mix (renewing policies carry lower loss ratios than new ones), and reinsurance. Root has been reducing its reliance on quota share reinsurance as underwriting results improve, retaining more premium. Root's growth strategy centers on continuous pricing model improvement, scaling its partnership and independent agent channels, and expanding its geographic footprint.