Create and manage alerts based on data anomalies and “stacked” alerts that capture multiple metrics in a single alert.
Obviously, you’re not watching your data 24/7. And frankly, you’ve got so much of it that you couldn’t even if you wanted to. So when something important happens — maybe you reach a specific benchmark or you get an unusual amount of traffic — it’s easy to miss it.
With intelligent alerts, Adobe Analytics monitors your data and notifies you immediately when something unusual happens. You get granular control over alerts that integrate with the Anomaly Detection feature, triggering when you need it most.
Set your alerts to be triggered based on anomaly thresholds, changed percentages or above or below set data points.
Preview how often alerts will trigger and send alerts by email or SMS with links to auto-generated analysis.
Keep track of multiple metrics in a single, “stacked” alert instead of creating multiple alerts.
Add a mobile-only dimension to your alert metrics to refine a trigger by device.
Learn how to get started with intelligent alerts and how Anomaly Detection keeps you from missing out on opportunities.
Watch this webinar to see how intelligent alerts works with other Adobe Analytics capabilities.
Visit our Adobe Experience Cloud Help section for details on capabilities, use cases, FAQs and more.
Statistical modelling automatically finds unexpected trends in your data by analysing metrics and determining a lower bound, upper bound and expected range of values. When an unexpected spike or drop occurs, the system alerts you in the report.
Discovers hidden patterns within your data to explain statistical anomalies and identify correlations behind unexpected customer actions, out-of-bound values and sudden spikes or dips for metrics across audience segments.
With our Analysis Workspace feature, you get a robust, flexible canvas for building customised analysis projects. Drag and drop any number of data tables, visualisations and components (channels, dimensions, metrics, segments and time granularities) to a project.