Amazon Lookout for Metrics

Automatically detect anomalies in metrics and identify their root cause

Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational time series data, such as a sudden dip in sales revenue or customer acquisition rates. In a couple of clicks, you can connect Amazon Lookout for Metrics to popular data stores like Amazon S3, Amazon Redshift, and Amazon Relational Database Service (RDS), as well as third-party SaaS applications, such as Salesforce, Servicenow, Zendesk, and Marketo, and start monitoring metrics that are important to your business. Amazon Lookout for Metrics automatically inspects and prepares the data from these sources and builds a custom ML model–informed by over 20 years of experience at Amazon–to detect anomalies with greater speed and accuracy than traditional methods used for anomaly detection. You can also provide feedback on detected anomalies to tune the results and improve accuracy over time. Amazon Lookout for Metrics makes it easy to diagnose detected anomalies by grouping together anomalies that are related to the same event and sending an alert that includes a summary of the potential root cause. It also ranks anomalies in order of severity so that you can prioritize your attention to what matters the most to your business.

Benefits

Detect anomalies with better accuracy

Amazon Lookout for Metrics uses ML to accurately detect anomalies in business metrics and reduce false positives. You can provide feedback on detected anomalies to tune the results and continuously improve accuracy and control.

Diagnose root cause faster

Amazon Lookout for Metrics makes it easier to diagnose the root cause of important anomalies by automatically grouping related anomalies together, summarizing potential root causes, and ranking them in the order of severity.

Amazon Lookout for Metrics connects seamlessly to popular AWS databases and provides pre-built connectors to third-party SaaS applications. You can get started monitoring metrics and detecting anomalies in just a few clicks.

Automate customized alerts and actions

You can easily connect Amazon Lookout for Metrics with event and notification services like Amazon Simple Notification Service and AWS Lambda to automate customized alerts and actions when anomalies are detected, such as filing a trouble ticket.

Use cases

Amazon Lookout for Metrics accurately detects and diagnoses anomalies across a broad range of business functions and industry use cases.

Customer Engagement

Ensure a seamless digital experience for your customers by detecting sudden changes in metrics across the customer journey, such as during registration, login, and engagement.

Marketing

Understand the effectiveness of marketing campaigns by identifying sudden changes in traffic volume, churn, and conversion rates.

Sales

Quickly identify sales obstacles and opportunities through unique insights into changes in win rate, pipeline coverage, and average deal size.

Retail

Gain insights into revenue and margin for product categories by identifying unusual changes in inventory levels, item pricing, promotional traffic, and conversion rates.

Gaming

Boost player engagement and optimize gaming revenue by monitoring changes in new users, active users, level-completion rate, in-app purchases, and retention rate.

Telecom

Improve customer experience by detecting and resolving network performance metrics, such as failed setup of a packet data session, channel issues, and noisy video/voice quality.

Customer stories

Digitata
"After working with the Amazon Lookout for Metrics team we discovered the improved accuracy and insights that Lookout for Metrics can bring to our existing solution and we are thrilled to use the service. With Lookout for Metrics, we can quickly identify opportunities in addition to finding issues."

Nico Kruger - Chief Technology Officer Digitata

Playrix
"Lookout for Metrics has saved our team many hours of manual investigation and now notifications are viewed as actionable rather than noise, allowing our teams to easily focus on strategic priorities with less technical overhead.”

Mikhail Artyugin - Technical Director, Playrix

NextRoll
“We saw the improved accuracy that Lookout for Metrics can bring to our existing anomaly detection process and we are thrilled to start using the service.”

Brian Ecker - Sr. Staff Engineer, NextRoll

TensorIoT
"Amazon Lookout for Metrics will help us deliver faster and more accurate anomaly detection while enabling quicker remediation to our customers."

Charles Burden - Head of Business Development, TensorIoT

Quantiphi
"The context and insights that Lookout for Metrics extracts enable our customers to make informed decisions when an anomaly is detected. We look forward to using Lookout for Metrics to help our customers better understand their data.”

Arnav Gupta - AWS Practice Lead, Quantiphi

Provectus
"With Lookout for Metrics, we are excited about the possibility to build solutions that detect outliers and anomalies in the real-time data enabling businesses to improve customer experience, sales analytics, and marketing intelligence.”

Stepan Pushkarev - CTO, Provectus

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