There’s no return on investment in the online video solution’s new features — the more navigation elements we add, the more confused our streaming service consumers seem. Our efforts to stand out with rich functionality are wide of the mark, as it doesn’t resonate with the audience.
As the process of implementing something new usually takes a while, we lag behind the innovation tempo of interactive live streaming competitors. Users come, test our service, but get bored pretty soon due to the lack of exciting interactions, “wow” features, or at least design updates.
Today, saving money is likely to be the primary criterion of video subscription service selection. Our current price offering is definitely losing in this game — it’s getting harder to inspire viewers to stick with your recurrent subscription each new month coming.
Directing all efforts to introduce unique content collections and a bundle of interactive video features, we’re taken aback by the icy response. Are the users left cold by our service opportunities or puzzled with a vast variety of elements?
They all are staying at one and the same point, which is called a high churn rate. Is there a chance to turn personalization efforts in the right direction, thus enhancing the interactive experience of viewers instead of ruining it?
We’re ready to debunk these concerns and develop a cost-effective solution for you — with a “build once, deploy across multiple platforms” modular principle in mind. You won’t need to experience either increased TCO or eye-wateringly high maintenance prices.
As today’s audience tends to multitasking, second-screening gives them a chance to consume show-related content or make spontaneous purchases inspired by the ad, while watching their favorites.
Polling, chatting, sports betting, live commenting, or TV show voting make a viewer completely absorbed in the interactive video content through being part of the show and communicating with the audience.
Extended navigation via mobile devices provides maximum usability, while all suggestions for improving the app are carefully collected as viewers are kindly nudged to share their impressions of using it.
AI-driven personalization features we deliver provide highly relevant content to viewers and increase their engagement within a streaming platform. They analyze behavioral data like viewing history, interactions, preferences, and navigation patterns to build detailed audience profiles.
This is used for curated content collections and dynamic UI elements that adapt in real time to each viewer’s tastes. They help users discover content more quickly without long navigation journeys. As a result, retention rates may increase significantly, as users are more satisfied with their viewing experience.
Yes, we can integrate interactive video features directly into your existing OTT platform by extending it with a modular interactivity layer. We embed features such as shoppable video, live polling, quizzes, and clickable overlays that synchronize with playback in real time.
These enhancements are supported by backend services for event handling, data collection, and analytics. For example, for one client we developed an interactive second-screen app for a more immersive viewing experience, and for another we implemented live interactive polls during sports matches.
We ensure compliance with global data privacy regulations such as General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) by embedding privacy-by-design principles directly into our personalization and recommendation systems.
This includes collecting only necessary user data, applying anonymization techniques, and relying on aggregated behavioral insights (such as viewing patterns and content preferences) rather than personally identifiable information. We also integrate consent-driven data usage, transparent user controls, and secure data handling across the entire analytics and recommendation pipeline.
We measure the ROI of interactive video features by combining advanced personalization analytics, behavioral tracking, and AI-driven recommendation insights. We can deliver BI tools to analyze user behavior such as viewing patterns, interactions with UI elements, content preferences, and engagement depth to continuously refine recommendation models and interactive experiences.
We also integrate the analytics with your KPIs and create custom dashboards using Looker and other BI platforms. You can find out more about our BI expertise on our Business Intelligence page.
