Haus

Haus is a marketing science company that provides a platform to help businesses understand and measure the true incremental impact of their marketing efforts. Their platform, built by PhD economists and data scientists, leverages cutting-edge causal inference methods to deliver accurate, actionable insights that go beyond traditional attribution models. Haus offers a variety of products, including GeoLift for regional testing, Causal Attribution for daily incrementality reporting, and CustomerLift for personalized marketing and promotions.

Haus' mission is to democratize access to world-class causal inference tools, empowering businesses of all sizes to make data-driven decisions rooted in scientific rigor. They are dedicated to providing transparent and explainable solutions, helping businesses unlock efficient growth and optimize their marketing investments. Haus has a strong team of experts with experience from leading companies like Amazon and Google, and they are actively contributing to the industry through their blog and case studies, highlighting real-world examples of how their platform is helping businesses achieve significant results.

Haus is a marketing science and experimentation platform built by PhD economists and data scientists to democratize access to world-class causal inference tools. Their mission is to empower businesses of all sizes to make data-driven decisions rooted in scientific rigor and prove the incremental value of their marketing spend, enabling them to maximize growth and optimize investments.

Haus promotes a culture of data-driven decision making, innovation, and collaboration. They value scientific rigor and transparency, and encourage their employees to constantly learn and grow. The company is made up of a diverse team of experts in marketing, data science, and economics, who bring a unique blend of expertise to the table. Haus fosters a collaborative environment where employees are empowered to share ideas and work together to achieve common goals.