Revulytics Enhances Usage Analytics Offering
August 09, 2018
has added advanced feature tracking and reporting capabilities in its
core analytics offering helping all customers realize additional value
from their product usage analytics. Available today, the upgraded
Lifetime Feature Usage analysis allows every feature that is tracked in
Usage Intelligence to be filtered and segmented based on environmental
properties and usage by particular audiences within an application’s
If “method 2” is used only once by nearly all users, it might suggest that it is discoverable, but not useful, and that it can be removed to simplify the UI.
If “method 3” is used every runtime session by a large percentage of users, product management might test whether the approach could be utilized in other areas of the application.
Additional enhancements to Usage
ReachOut Delivery Caps. Send an in-application promotion to a limited number of users, upgrade notifications in batches, or run A/B testing with a random user sample by setting a Maximum Delivery Cap on any ReachOut campaign to limit the number of messages delivered.
Regular Expressions (“Regex”). All filters for reporting and ReachOut now take advantage of regular expressions to provide greater flexibility and time savings; 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 a team.
Date Installed Filter. Report on usage by people who installed during a specific time period (for example, during a campaign or following an event) to easily see how many users who installed during the Q4 promo are still active and what are they doing with the software.
Date Last Seen Filter. Filter in/out users that were last seen before or after a specific date to see, for example, how many users abandoned a specific version/edition of the software in the days after an announcement that it will no longer be supported.