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Description

Haus is a cutting-edge marketing science platform that provides brands with the ability to accurately assess the true business effects of their advertising campaigns, whether conducted online or offline, by utilizing automated incrementality experiments. It features innovative products such as GeoLift for geographic incrementality testing, Causal Attribution for regular incrementality assessments, and the soon-to-be-released Causal MMM for media mix modeling driven by incrementality. These advanced tools empower users to quickly design and execute experiments within minutes, receive results in as little as two weeks, and enhance their marketing strategies through daily incrementality insights. Furthermore, Haus is committed to offering privacy-conscious solutions that avoid the use of pixels, cookies, or any personally identifiable information, which ensures adherence to the latest privacy regulations. As the landscape of digital marketing continues to evolve, Haus remains at the forefront, equipping brands with the necessary tools to navigate these changes effectively.

Description

A modeling platform has been created to assist marketing teams, analysts, and agencies in evaluating the genuine incremental effects of their marketing expenditures across various channels. In contrast to conventional attribution tools that depend on cookies and focus solely on digital interactions, MixModeler allows organizations to assess the impact of offline advertising methods such as TV, radio, and outdoor promotions, in conjunction with their digital marketing efforts. This platform merges advanced statistical techniques, such as Bayesian inference and regression analysis, with a user-friendly interface, enabling individuals without a background in data science to engage in sophisticated marketing measurement. Users have the option to either construct custom models manually or take advantage of AI-driven automation, allowing them to rapidly identify which marketing initiatives are yielding tangible business outcomes. Furthermore, MixModeler provides a range of pricing options, starting from free plans tailored for smaller teams to comprehensive solutions for larger enterprises, thereby making high-quality marketing mix modeling accessible to organizations of all sizes and enhancing their strategic decision-making capabilities.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Haus

Founded

2021

Country

United States

Website

www.haus.io

Vendor Details

Company Name

MixModeler

Founded

2025

Country

United Kingdom

Website

mixmodeler.com

Product Features

Marketing Analytics

A/B Testing No 
Campaign Management No 
Channel Attribution No 
Customer Journey Mapping No 
Dashboard No 
Performance Metrics No 
Predictive Analytics No 
ROI Tracking No 
Social Media Metrics No 
Website Analytics No 

Product Features

Marketing Analytics

A/B Testing No 
Campaign Management No 
Channel Attribution No 
Customer Journey Mapping No 
Dashboard No 
Performance Metrics No 
Predictive Analytics No 
ROI Tracking No 
Social Media Metrics No 
Website Analytics No 

Alternatives

Alternatives