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Average Ratings 5 Ratings

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features
design
support

Description

Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.

Description

Identify the key issues that impact online sales, site abandonment, or user satisfaction. Webeyez analyzes real user data in real time to assist sales and marketing teams in identifying technical issues that could impact online revenue. Get automatic alerts. You will be notified immediately if something isn't working and how much it is costing you to minimize revenue loss. Webeyez created a site score to help e-commerce and product managers understand the technical status of their webshops without any technical knowledge. Webeyez uses Artificial Intelligence to generate a high-level score for their site. This score provides a snapshot of the major technical issues that impact sales. The score is calculated by adding together goal success rates, goal durations, critical paths, page loads times, server and network times, and other factors. Our algorithm detects anomalies and alerts for drops in score and identifies the root cause.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Lambda
Adobe Commerce
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
BigCommerce
Google Tag Manager
Magento
Shopify
WooCommerce

Integrations

AWS Lambda
Adobe Commerce
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
BigCommerce
Google Tag Manager
Magento
Shopify
WooCommerce

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

750
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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lookout-for-metrics/

Vendor Details

Company Name

Webeyez

Country

Israel

Website

www.webeyez.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives

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