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Description

AGENARISK leverages cutting-edge advancements in Bayesian artificial intelligence and probabilistic reasoning to address intricate, high-stakes challenges and enhance decision-making processes. By utilizing AgenaRisk models, users can forecast outcomes, conduct diagnostics, and make informed decisions by integrating data and insights regarding complex causal relationships and dependencies present in the real world. Our clientele employs AgenaRisk to tackle a wide range of issues associated with risk and uncertainty, such as operational risk, actuarial studies, intelligence analysis, system safety and reliability, health-related risks, cybersecurity threats, and strategic financial planning. AgenaRisk is committed to designing and promoting innovative products that utilize Bayesian Network technology. The effectiveness of our technology and methodology has been recognized and published in leading academic journals spanning AI, machine learning, actuarial science, decision science, and cognitive science. As we continue to evolve, we aim to remain at the forefront of risk modeling and decision-making solutions, directly impacting various industries.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Google Analytics No 
Meta Ads No 
Shopify No 

Integrations

Google Analytics Yes 
Meta Ads Yes 
Shopify Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$99/month
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 No 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Agena

Website

www.agenarisk.com

Vendor Details

Company Name

Causality Engine

Founded

2023

Country

Netherlands

Website

causalityengine.ai

Product Features

Financial Risk Management

Compliance Management No 
Credit Risk Management No 
For Hedge Funds Yes 
Liquidity Analysis No 
Loan Portfolio Management No 
Market Risk Management No 
Operational Risk Management No 
Portfolio Management No 
Portfolio Modeling No 
Risk Analytics Benchmarks No 
Stress Tests No 
Value At Risk Calculation No 

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking Yes 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Product Features

Marketing Attribution

Attribution Modeling No 
Audience Segmentation No 
Conversion Tracking No 
Cross-Channel Attribution No 
Customer Journey Mapping No 
Multi-Touch Attribution No 
Predictive Analytics No 
ROI Tracking No 

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