Average Ratings 0 Ratings
Average Ratings 5 Ratings
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
Yes
API Access
Has API
Yes
Integrations
AWS Lambda
Yes
Adobe Commerce
No
Amazon CloudWatch
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Simple Notification Service (SNS)
Yes
BigCommerce
No
Google Tag Manager
No
Magento
No
Shopify
No
Integrations
AWS Lambda
No
Adobe Commerce
Yes
Amazon CloudWatch
No
Amazon Redshift
No
Amazon S3
No
Amazon Simple Notification Service (SNS)
No
BigCommerce
Yes
Google Tag Manager
Yes
Magento
Yes
Shopify
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
750
Price is based on monthly sessions
Free Trial
No
Free Version
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
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
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
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No