Automatically detect anomalies within metrics and identify their root causes

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

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

Summarize root causes

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

Monitor metrics and detect anomalies

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

Automate customized alerts

Automate customized alerts and actions when anomalies are detected.

Use cases

Monitor business performance

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

Improve customer experience

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

Optimize your digital ad spend

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

Boost user engagement

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