Evergage Guardian is designed to help you make the most out of your digital marketing campaigns. Guardian continuously monitors thousands of metrics gathered from your site, web application, or mobile app to uncover insights and surface optimization opportunities as well as potential issues, such as URL or selector changes that affect action or catalog mapping. It represents an entirely new way to access up-to-the-minute trends, visualize site and campaign performance, and automatically receive proactive suggestions for improving digital engagement across websites and mobile apps. Guardian works as a part of the Evergage Core platform so there is nothing to set up or configure for it to recognize what's important to your business.
This article will give you an overview of the features of Guardian and how to use them, including how to:
Understand Guardian Terms and Indicators
- Global - topics and signals with impact spanning your entire digital property and not restricted to a specific segment or campaign
Topic - groups of behaviors used by Guardian to predict positive or negative impact on your digital property. These are things like campaigns, visitor groups (first time and repeat), global goals, and device types and are pre-defined in Guardian so you can quickly view impact
Historical DataGuardian data is available for campaign topics (such as impressions, dismissals, and clickthroughs) from August 22, 2017. Guardian data for other topics (such as filters, segments, and first time visitors) is available from June 17, 2017.
- Metrics - each topic has a series of metrics which vary depending on the topic type, so not all metrics will be shown for each topic. For example, a campaign can have revenue and average order value, as well as clickthroughs and clickthrough rate, whereas mobile visits would have visit count and visit duration
- Signal - anything Guardian detects as outside of the predicted range expected during the seasonal daily and weekly activity for your site and dataset
- Red - indicates something that is having a negative impact and needs attention. Anything with a red indicator means that the prediction is lower than expected, having a negative impact, or has higher dismissals
- Green - indicates something that is having a positive impact. Anything with a green indicator means that the prediction is higher than expected, having a positive impact, or has lower dismissals
Topics are groups of user behaviors. Guardian uses them to predict positive or negative impact on your digital property.
View Metrics in Topic Details
For each topic, there are specific metrics that may include positive or negative signals.
Analyze Signals within Topic Details
On the topic detail screen, each signal type within a topic includes a graph showing details about the metrics and any signals. Guardian displays predicted and actual behavior on a graph for each metric.
- Hover on the graph to see detail:
- Gray - this area is the range for predicted behavior for the metric
- Black - the is the actual behavior on your digital property for the metric
- Red dot - this is the low end of the prediction
- Green dot - this is the high end of the prediction
- Red bar - indicates the start, end, and duration of behavior below the predicted range
- Green bar - indicated the start, end, and duration of behavior above the predicted range
- Click and drag to zoom in on a time frame
- Click RESET ZOOM to reset the graph to the original time frame
See Concurrent Signals
Sometimes, multiple signals that happen concurrently can be related, like a decrease in orders creating a reduction in revenue. Other times, the signals are independent of each other. You can view signals that happen at the same time so you can make that determination to truly understand how events are impacting your digital property.
Collaborate on Information
You can add comments and subscribe to information about signals.
You can adjust Guardian settings to customize the email alerts you receive based on what is most important to you. Guardian will automatically email you when you are @mentioned in a comment.
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