|Revulytic Usage Intelligence, the first solution purpose-built for distributed software on Windows, Macintosh, and Linux platforms, provides deep insight into application usage. See which features are being used and which remain ignored or undiscovered. Advanced reporting lets you filter by properties including region, version, OS platform, and architecture to focus your roadmap development. ReachOut in-app messaging lets you to communicate directly with users sending contextually relevant messages based on rules you define so that they see the right message at the right time.
Usage Intelligence is easy to implement. Get started in 30 minutes with SDK integration and out-of-the-box reporting. You'll quickly see trends and understand user behavior without additional customizations. Easy-to-use dashboards let you drill down to answer the tough questions and align product and marketing strategies. Flexible plans are designed to meet the unique needs of your business and can scale from hundreds to millions of installations.
With ReachOut, you can get in touch with users of your software like never before. Reach and educate users with fully targeted, event driven, direct-todesktop in-app messaging and surveying. Create custom messages easily and deliver them to users as HTML pop-up windows, without adding code to your app. Get feedback from customers using surveys based on explicit software usage behavior.
Event-based analytics enable you to anonymously track and report on software usage. Basic Events work right out of the box and Advanced Events deliver extensive drill-down reporting, event-count filtering on any property, and segmentation analysis through customer reports.
Chart adoption of new features, engagement, and attrition throughout your customer's product experience. See how new releases impact usage and retention then craft marketing campaigns and product messaging to optimize experience.|
|OS:||Linux, Linux Console, Linux Gnome, Linux GPL, Linux Open Source|
|File size:||918 Kb|
|Keywords:||track, monitor, analytics, feature usage, linux, software analytics, user tracking, software usage, C++, desktop app, desktop analytics, app analytics, software metrics, conversion funnel, desktop software metrics, user behavior, monitoring|
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