Webinar

Usage analytics helps software producers understand how customers interact with their products—what features are used, how often, and by whom. For on-premises deployments, this data is especially valuable because traditional cloud-based analytics tools often don’t apply. With the right platform, teams can uncover hidden opportunities to improve UX, prioritize roadmap decisions, and drive monetization strategies.

Product usage data reveals which features are most valuable to users, helping teams decide what to prioritize when moving to the cloud. It also highlights underused capabilities that may need redesign or better training. This insight ensures that SaaS offerings are aligned with actual customer needs, reducing guesswork and accelerating adoption.

According to recent industry surveys, on-premises software is expected to grow by 46% over the next 18 months. This is driven by use cases that require local deployments—such as air-gapped environments, manufacturing systems, and high-security sectors. Software producers must continue to support these needs while planning for hybrid or cloud-smart strategies.

Hybrid monetization combines multiple pricing and deployment models, such as subscription-based SaaS and perpetual on-prem licenses. This approach allows software producers to serve diverse customer preferences and maximize revenue across segments. It also provides flexibility during transitions from legacy systems to modern cloud platforms.

Feature-level analytics show which parts of a product are most and least used, helping teams make informed decisions about enhancements, removals, or redesigns. This data-driven approach reduces wasted development effort and ensures that resources are focused on what truly matters to users.

In-app messaging allows software producers to communicate directly with users inside the application. It can be used to promote upgrades, offer training, or guide users toward underused features. This targeted engagement improves user experience and can significantly boost conversion rates and revenue.

Tools like Revenera Usage Intelligence provide detailed reports on user flow, feature adoption, and session behavior—even for on-premises applications. These insights help teams understand how users navigate the product, where they drop off, and what drives deeper engagement, enabling smarter design and communication strategies.

Segmenting usage data by region, OS, or hardware helps software producers tailor their offerings to specific customer needs. For example, understanding platform limitations can prevent rollout issues, while regional insights can guide localization efforts or targeted messaging campaigns.

By analyzing how trial users interact with the product, teams can identify when and why users disengage. Timely in-app messages and onboarding support can be introduced to guide users toward core features, improving their experience and increasing the likelihood of conversion, as seen in case studies with up to 13% conversion rates.

Key use cases include guiding SaaS transitions, enhancing UX/UI, improving customer engagement, and executing targeted in-app campaigns. Each of these contributes to better product-market fit, increased revenue, and more efficient development cycles—all critical for software producers navigating competitive markets.