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ease
features
design
support

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Description

Autobox is the most user-friendly solution for forecasting available today. Tailored for both beginners and seasoned professionals, it allows users to input their data and generate forecasts with expert-level accuracy. Regardless of your current forecasting technique, Autobox enhances your precision in predictions significantly. This innovative tool has been recognized as the “best-dedicated forecasting program” in the esteemed Principles of Forecasting textbook and has transitioned into an online platform. The unique methodology employed by AFS does not confine data to a rigid model or a small selection of models, enabling Autobox to optimally integrate historical data and causal factors while addressing level shifts, local time trends, pulses, and seasonal variations as needed. The Autobox engine is adept at uncovering new causal variables by analyzing patterns within historical forecast errors and outliers, often revealing causal factors that users may have been unaware of, such as promotions, holidays, and day-of-the-week influences. This capability allows users to harness a broader range of insights, ultimately leading to more refined and actionable forecasts.

Description

Many attribution tools can indicate which advertisements a customer interacted with prior to making a purchase, which demonstrates correlation. In contrast, Causality Engine reveals the potential impact on your revenue had those advertisements not been run, thus establishing causation. Utilizing causal inference—similar to the statistical techniques employed in clinical drug trials—we assess the actual incremental revenue generated by each marketing channel. This approach ensures that the results are unaltered, unassisted, and genuinely caused by the marketing efforts. The calculations are straightforward: for instance, if Meta shows a 4.2x ROAS, but your overall revenue remains unchanged after reducing your spend by 30%, it indicates that those conversions would have occurred regardless. Causality Engine precisely measures the extent of this effect. By linking your GA4 and Shopify data, you can receive your initial causal analysis in less than five minutes. There's no need for tracking pixels, cookies, or intricate integrations—simply upload your data to discover which channels are truly driving growth versus those that merely claim credit for pre-existing growth. The service offers a one-time analysis for $99, while continuous insights are available for $299 per month. This allows businesses to maintain an ongoing understanding of their marketing effectiveness and revenue generation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Google Analytics
Meta Ads
Shopify

Integrations

Google Analytics
Meta Ads
Shopify

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$99/month
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

Automatic Forecasting Systems

Country

United States

Website

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

Vendor Details

Company Name

Causality Engine

Founded

2023

Country

Netherlands

Website

causalityengine.ai

Product Features

Product Features

Marketing Attribution

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

Alternatives

Alternatives