Statistical modeling and machine learning that automatically finds unexpected anomalies in your data. It combs through vast amounts of data to immediately identify factors that are impacting your business.
Unexpected action in your data can be both good and bad. On the one hand, it may mean that a campaign is performing better than expected. But on the other, it can mean that something’s wrong — a bug that’s causing problem, a tagging error, even corporate espionage. Whether the cause of the anomaly is good or bad, identifying it quickly is always good. But traditionally, this took time and resources, assuming you weren’t too busy simply cleansing data and preparing reports.
The anomaly detection feature of Adobe Analytics lets you automatically detect statistically significant data anomalies during specified periods. Then we show you these unexpected traffic spikes or dips with clear visualizations. And with our Contribution Analysis feature inside Analysis Workspace, you can see not only when anomalies happen, but understand why.
Broaden your analysis from hourly, daily, or weekly views to monthly views to get a long-term vision of your campaigns and where anomalies occur over time.
When used in Analysis Workspace, anomaly detection can account for seasonal events, such as Black Friday, spring break, and holiday periods.
Anomaly detection uses the unique machine-learning and automation algorithms of Adobe Sensei to drive better insights faster.
With our intelligent alerts, you can know immediately via email or text about significant changes in your key metrics and segments.
With contribution analysis, you can discover what caused the anomaly with literally the click of a button.
Learn more about anomaly detection by viewing how a sample analyst for an ecommerce website can build out specific views in Analysis Workspace.
See what anomaly detection can do by reading about it in our Help section.
Learn how Anomaly Detection works as a part of the Virtual Analyst in Analysis Workspace in our Help pages.
With our Analysis Workspace feature, you get a robust, flexible canvas for building custom analysis projects. Drag and drop any number of data tables, visualizations, and components (channels, dimensions, metrics, segments, and time granularities) to a project.
We make it easy to create and manage alerts based on data anomalies and “stacked” alerts that capture multiple metrics in a single alert.
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.