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What is Stella?

Stella is an innovative platform tailored for marketing measurement, offering marketers scientifically sound insights into which advertisements, campaigns, and media channels drive revenue growth. It includes three key features: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). With Incrementality Testing, Stella performs geo-holdout studies, commonly referred to as inverse holdouts, to determine performance variations between test and control regions, thereby isolating the direct effects of advertisements instead of relying solely on attribution techniques. This tool streamlines intricate statistical concepts like causal inference and confidence intervals, enabling users to grasp potential outcomes independent of any specific campaign, and revealing the true "lift" generated by each ad. Additionally, the Media Mix Modeling component utilizes a distinctive Bayesian method to analyze past marketing budgets alongside external factors, such as seasonality and promotional events, to accurately evaluate each channel's contribution to total sales. By employing these sophisticated strategies, Stella not only enhances the decision-making process for marketers but also ensures that the data they rely on is both precise and actionable. Ultimately, the platform stands as a vital resource for marketers seeking to optimize their advertising efforts effectively.

What is Autobox?

Autobox is distinguished as the most intuitive forecasting solution available, designed to assist both novices and experienced analysts in effortlessly uploading their data to produce expert-level forecasts. No matter which forecasting methods you currently employ, Autobox dramatically improves the accuracy of your predictions. This cutting-edge tool was honored as the "best-dedicated forecasting program" in the Principles of Forecasting textbook and has evolved into an online service. The distinctive approach adopted by AFS circumvents the common issue of confining data to a single model; instead, it enables Autobox to synchronize historical data with relevant causal factors, seamlessly adapting to changes in levels, local time trends, pulses, and seasonal fluctuations when required. Additionally, it possesses the ability to identify new causal variables by scrutinizing historical forecast errors and outliers flagged by its unique engine. Frequently, this analysis uncovers causal elements that might have previously been overlooked, such as promotional events, holidays, and specific weekday effects. By harnessing these revelations, users can substantially enhance the accuracy of their forecasts while also gaining deeper insights into the underlying dynamics affecting their data. This comprehensive capability makes Autobox an invaluable asset for anyone serious about improving their forecasting strategies.

Media

Media

Integrations Supported

Amazon
Google Cloud Platform
Meta AI
Shopify
Snowflake

Integrations Supported

Amazon
Google Cloud Platform
Meta AI
Shopify
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$2,000 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Stella

Company Location

United States

Company Website

www.stellaheystella.com

Company Facts

Organization Name

Automatic Forecasting Systems

Company Location

United States

Company Website

autobox.com/cms/index.php/products/autobox

Categories and Features

Categories and Features

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