Here you will find some notable releases that appear in your Usage Intelligence reports.
Export Property Values
Users can select any property (as visible in the filters list), including Custom Properties and it will generate a full list of meta data for a particular property. Available as a JSON or plain text file. Read More
Support for multiple billing email addresses
Users can now add multiple email addresses as their billing contacts, who would each receive a copy of any invoices or billing notifications.
Data table export for Lifetime Event Tracking and Churn Lifetime Event usage
Users can now export a JSON file with all the data in the Event Usage tables.
Users can add a list of IPs or IP ranges that will be blocked from the server. These can be used to block internal users from submitting data to the RUI server (say during QA) or to block any unwanted users or domains. Read More
Users can move any ReachOut campaign from the “Active” tab to an archive. This is especially useful for users having a large list of ReachOut messages that they do not want to permanently delete. All archived campaigns are accessible from the “Archived” tab inside the ReachOut page. An archived campaign is automatically disabled, but stored for historical or reporting purposes. It can be made “Active” again at any point or can still be used to clone new campaigns from it. Read More
ReachOut ID display
Users can see the unique ReachOut Campaign ID displayed in each of the ReachOut tables. This helps for reporting purposes and referencing with raw data exports or Client Profile data, all of which show the ReachOut IDs that a client has been delivered.
Client Profile Report
Users have the ability to drill down into product usage data for a particular client, look at data for sets of ClientIDs that match specific criteria, and do full exports of the data by ClientID for further analysis, joining with third-party data sets, or historical archiving of all your usage data. Capabilities include:
- Export data for further analysis in third-party analytics systems
- View all ReachOut in-application campaigns that any client has received
- Identify specific ClientIDs of user segments by properties and usage
- Manage GDPR requests for data access
- Download data for archiving
- Use JSON format of data exports for maximum portability
Raw Data Export
Users can collect, upon request, all the raw data from their application in addition to the standard data collected and processed by Usage Intelligence. This needs to be configured with an account manager to be enabled and collect the data specific to each user case. Read More
Knowledgebase and ticketing system updated for enhanced searchability, ticket tracking and user experience. View Support Center
Virtual Machine Architecture Report
Users can now report and analyze on installations running on Virtual Machines across Windows, Mac and Linux platforms. It also allows other reports to be filtered by usage on specific Virtual Machines only with installations running for deeper analytics. Read More
Sunburst Visualizations in Usage Intelligence
The new Sunburst diagram lets you illustrate and analyze hierarchical or segmented data through an interactive Sunburst chart with drilldown functionality. You can visualize three properties and click on any segment to drill down into it and explore the relationships.
Support for Facebook login discontinued
Due to lack of usage, account creation and login via Facebook is no longer supported by Revulytics.
Null Value Reporting
Reports now support <NULL> values (where no information is collected) and users can choose to include or not include these values in their reporting and visualizations. This distinction provides greater insight into total usage numbers. Read More
Export Data to CSV
In addition to image formats, table data and timeline data can now be exported by users in a CSV format for any report in Usage Intelligence.
Clone ReachOut Campaigns
Users can now create copies or clones of their existing campaigns to repurpose in launching new campaigns to different audiences or with other modifications.
Filter ReachOut Recipients by Previous Campaigns
In-application messages can now be targeted to users based on whether or not they have received other messages previously via ReachOut. This allows for a message series to be created via sequenced messages.
Regular Expressions (“Regex”) Added
All filters for reporting and ReachOut now take advantage of regular expressions to provide greater flexibility and time savings. From the Filters UI you can choose “Exact Match,” “Starts with” or “Contains” to filter any string property. Like other filters, Regex-based filters can also be saved as templates and shared with your team.
Lifetime Event Usage Filter
This powerful addition allows you to ask and get answers to more complicated questions by filtering any report or ReachOut campaign based on the user’s actual usage of the product functionality. For example, how many users have launched the configuration wizard at least once, but never finished the wizard completely? Or, how many users used the product for at least 10 hours but have not yet discovered Feature X? Or, how many users who have used heavily Feature X but made little to no use of Feature Y.
Date Installed Filter
This new filter enables you to report on usage by people who installed during a specific time period (for example, during a campaign or following an event). You can easily see how many users who installed during the Q4 promo that are still active today and what are they doing with the software. You can also run churn analysis reports only on those users who installed before a specific time period.
Date Last Seen Filter
This enhancement allows you to filter in/out users that were last seen before or after a specific date. For example, you might want to run a report of how many users abandoned a specific version/edition of your software in the days after you announced that you will be terminating its support. When used in combination with the Date Installed Filter, you can get more accurate data on product and feature usage by filtering out anyone who was not fully active during the whole reporting period (e.g., the average runtime and feature usage metrics will not include users who installed or uninstalled the product in the middle of that reported date range).
ReachOut Delivery Caps
If you want to send a promotion to a limited number of users, send upgrade notifications in batches, or run A/B testing with a random user sample, you can now easily achieve this by setting a Maximum Delivery Cap on any ReachOut campaign to limit the number of messages delivered.
Java SDK Released
Usage Intelligence adds a software usage analytics solution designed for distributed native Java applications on Windows, Macintosh, and Linux. Read More
Reporting Filters Added
- Filtering for specific Revulytics Client ID and Machine ID for customers also using Revulytics Compliance Intelligence, providing deeper insight into feature usage within unlicensed software to accelerate settlement and conversion discussions
- Opt-In/Opt-Out Status, making it easier to calculate sample size and measure the effectiveness of software usage analytics programs
- Lifetime Product & Feature Usage, providing deeper insight into specific user groups and their engagement with various product functionality
Updates to User Permission Controls
Users can now easily manage user permissions for their entire team. Admins can grant Full, Read-Only, or Deny access for different aspects of Usage Intelligence from User Management, Reporting, ReachOut, Developer, License Key Management or Filtering, Quota Usage, Billing and Subscription, or Reporting API access. For each user, you can quickly preview all their access levels, edit their permissions, clone them for other users that have the same organizational role, or revoke their permissions.