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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.

Description

NVIDIA PhysicsNeMo is a publicly available Python-based deep-learning framework designed for the creation, training, fine-tuning, and inference of physics-AI models that integrate physical principles with data, thereby enhancing simulations, developing accurate surrogate models, and facilitating near-real-time predictions in various fields such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate studies, and digital twin technologies. This framework offers powerful, GPU-accelerated capabilities along with Python APIs that are built on the PyTorch platform and distributed under the Apache 2.0 license, featuring a selection of curated model architectures that include physics-informed neural networks, neural operators, graph neural networks, and generative AI techniques, enabling developers to effectively leverage physics-based causal relationships together with empirical data for high-quality engineering modeling. Additionally, PhysicsNeMo provides comprehensive training pipelines that encompass everything from geometry ingestion to the application of differential equations, along with reference application recipes that help users quickly initiate their development workflows. This combination of features makes PhysicsNeMo an essential tool for engineers and researchers seeking to advance their work in physics-driven AI applications.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

Google Analytics
Meta Ads
PyTorch
Python
Shopify

Integrations

Google Analytics
Meta Ads
PyTorch
Python
Shopify

Pricing Details

$99/month
Free Trial
Free Version

Pricing Details

Free
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

Causality Engine

Founded

2023

Country

Netherlands

Website

causalityengine.ai

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/physicsnemo

Product Features

Marketing Attribution

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

Product Features

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