Haus
Causal inference, econometrics, and experimentation for brands to measure incrementality and drive profitable growth, trusted by top brands, and featuring a suite of decision & data science tools for on-demand regional experiments, personalized custom.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
| investor investor investor investor investor investor | €0.0 | round | |
* | $20.0m | Early VC | |
| Total Funding | 000k | ||
Related Content
Haus is a marketing science platform that helps businesses measure the effectiveness of their marketing campaigns and allocate their budgets more efficiently. The company's platform uses advanced modeling techniques to create a synthetic control group, which allows businesses to run multi-cell experiments and draw a marginal return curve.
Haus's platform can be used to measure the incrementality of marketing campaigns, which is the extent to which a campaign has generated sales that would not have occurred otherwise. This information can then be used to optimize marketing spend and maximize growth. The company's platform can also be used to validate and refine marketing strategies for new channel launches.
Haus integrates with a variety of sales channels, including Amazon and retail data, to provide a comprehensive view of marketing performance. The company's platform is designed to be used by marketers of all levels of experience, from those who are new to marketing experimentation to those who are experts in the field.
Keywords: marketing science, experimentation platform, incrementality measurement, budget allocation, multi-cell experiments, marginal return curve, synthetic control, marketing analytics, retail data, Amazon data