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Amazon Lookout for Metrics

Notice

On 10/09/2025, AWS will discontinue support for Amazon Lookout for
Metrics. After 10/09/2025, you will no longer be able to access the
Lookout for Metrics console or Lookout for Metrics resources. For more
information, see Transitioning off Amazon Lookout for Metrics.

Why Lookout for Metrics?

Detecting unexpected anomalies is challenging since traditional methods are manual and error prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required.

Benefits

Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics.

Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity.

Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies.

Automate customized alerts and actions when anomalies are detected.

Use cases

Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes.

Detect metric spikes and dips to better understand customer-related issues, churn rates, and install or purchase rates.

Automatically understand when your campaign is overspending, underperforming, or encountering errors, without the need for manual intervention.

Optimize user engagement by understanding changes in new users, app installs, in-app purchases, and retention.