Laurence

The current state of advertising resembles the trading pits of the 1980s: outdated, manual, and reliant on iterative guesswork. Human intervention in bid and keyword management involves utilizing imperfect, delayed data with rigid rules. These methods are not only ineffective at scale but also fail to account for inherent stochasticity.

Laurence has developed advanced quantitative systems that approach advertising with the sophistication of modern hedge funds, employing continuous decision-making processes under stochastic conditions and defined profit constraints.

By leveraging customers' existing ad copy, Laurence utilizes reinforcement learning and trains proprietary LLMs to autonomously manage advertising campaigns. This approach optimizes profit capture when confidence levels are high and leverages signals from comparable keywords when data is limited.

Initially focusing on brands within the Amazon ecosystem, Laurence automates millions in active ad spend, driving significant increases in gross sales while simultaneously reducing the advertising cost of sales by 40%.