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Description

Marketing attribution methodologies employed worldwide can be broadly categorized into two distinct approaches. The first is the top-down population-based method, which has traditionally relied on multiple linear regression, thereby imposing significant restrictions on the number of media channels and variables that could be effectively analyzed at any moment. In contrast, the bottom-up approach aggregates individual cookie-based interactions to create a comprehensive overview. With the advent of Hamilton AI, we have pioneered a new generation of unified measurement models that not only excel in attribution but also in optimizing and allocating the majority of marketing budgets, particularly for paid media expenditures. This innovative approach circumvents the limitations of earlier models, addressing issues related to fragmented and non-comparable data, as well as the reliance on various dedicated tools that often result in misleading attribution and ineffective optimization. By implementing these advanced models, marketers can achieve more accurate insights into their campaigns, ultimately driving better decision-making and enhanced performance across their marketing efforts.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Blackwood Seven

Country

Denmark

Website

blackwoodseven.com

Vendor Details

Company Name

Haus

Founded

2021

Country

United States

Website

www.haus.io

Product Features

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Marketing Attribution

Attribution Modeling
Audience Segmentation
Conversion Tracking
Cross-Channel Attribution
Customer Journey Mapping
Multi-Touch Attribution
Predictive Analytics
ROI Tracking

Product Features

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Alternatives

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