Server-driven UI (SDUI) enables A/B testing in OTT apps by separating the user interface from the app code. Instead of rebuilding or resubmitting apps for every experiment, streaming teams can dynamically control layouts, navigation, and features from the server and test multiple variations in real time.
With server-driven UI, OTT apps act as flexible containers that render experiences defined by the server. This allows teams to run A/B tests on UI components, content placement, personalization, and monetization strategies without releasing new app versions.
In traditional OTT app development, UI and logic are hard-coded into the app. Any significant UX change often requires development work, QA cycles, and app store approvals.
This makes experimentation:
Server-driven UI moves control of the interface to the server. Instead of pushing new app versions, streaming teams can define multiple UX variations and assign them to different user segments.
This allows teams to:
Streaming apps operate in a competitive environment where small UX changes can significantly impact engagement, retention, and revenue. Server-driven A/B testing enables teams to make data-driven decisions faster and optimize continuously.
Instead of guessing which design works best, teams can validate changes with real user data across mobile, Smart TVs, and web.
Applicaster is an enterprise-grade no-code app platform for OTT and streaming built around server-driven UI and UX. Through its Zapp™ platform, streaming teams can run A/B tests without rebuilding or resubmitting their apps.
Applicaster combines server-driven UI with built-in experimentation tools, enabling:
Server-driven UI transforms A/B testing in OTT apps from a slow, engineering-heavy process into a continuous optimization strategy. By separating UX from code, streaming businesses gain the agility needed to experiment, learn, and improve at scale.
Yes. With server-driven UI, UX variations can be delivered dynamically without releasing new app versions.
Yes. Enterprise-grade SDUI platforms support experimentation across mobile, Smart TVs, and web from a single system.
Yes. Server-driven architectures are designed to support high traffic and live events while enabling controlled experimentation.