Conviva Announces First-Ever OTT Operational Best Practices Research Study

Conviva Announces First-Ever OTT Operational Best Practices Research Study

MTM Surveys Leading OTT Publishers and Service Providers on How They Overcome the Limitations of the Internet to Deliver High Quality Streaming Video to Consumers

Conviva, elevating the way OTT businesses use data-driven intelligence with their Video AI Platform, announced the release of a research study conducted by MTM, an independent research and strategy consultancy, that explored OTT operational best practices across leading publishers in EMEA and North America. The study specifically looked into how much time and effort is expended to both discover and fix service delivery issues such as high buffering, low bit rates, and slow video start times that lead to decreased viewing times, session abandonment, and even churn.

Hui Zhang
Hui Zhang

“The Internet was not designed to support large scale, high quality video streaming and yet our customers have no choice but to use this medium to deliver video as more consumers move from traditional pay TV services to a wide variety of OTT services. This study reveals not only the diversity of approaches that leading OTT publishers are utilizing today to deliver their service, but also the myriad of opportunities technology providers, like Conviva, and others should understand to help build better streaming services and to make the internet work for video,” Dr. Hui Zhang, CEO, Conviva said.

One of the interesting and unexpected findings from the research study was the realization that there is no such thing as a typical OTT publisher — the original goal was to find commonalities across publishers to establish economic benchmarks. While the broadcast industry has adopted common standards and practices for delivering content, OTT publishers utilize a variety of approaches to managing video delivery and ensuring viewers receive a high quality of experience (QoE). While no common business model was found, there was resounding agreement amongst those surveyed that one of the most difficult operational tasks is performing root cause analysis of issues such as re-buffering or stream failures. Most respondents also agreed that automation or machine learning would help them with diagnosing the of root cause of any problem.

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Nick Thomas
Nick Thomas

“We set out to build a business model for the OTT industry to better understand the economics of delivering high quality, error free streaming experiences. Instead, amongst many other interesting findings, we discovered that most OTT publishers have very unique policies and procedures for operating their service and dealing with delivery issues,” said Nick Thomas, Associate Director, MTM.

This research study has uncovered the incredible opportunity to establish standards in running a successful OTT business. Industry trade groups, such as the Streaming Video Alliance (SVA), should consider establishing industry-wide agreed standards about what constitutes a high-quality streaming video experience in a way that consumers can understand and publishers can benchmark themselves against. Furthermore, there is an opportunity for OTT publishers to share knowledge and best practices with their industry peers related to operating, alerting, and issue resolution. This could improve the quality of streaming video across the industry, potentially accelerating the overall growth of OTT streaming video.

The research study was first revealed last night at Conviva’s launch party at The Hoxton, Shoreditch with OTT industry executives from all around in attendance.

Conviva powers every internet-connected screen with the most engaging viewing experiences imaginable by elevating the way OTT businesses use data-driven intelligence. For years, HBO, Sky, Turner and the like have been using Conviva’s Video AI Platform to enlighten, reveal and inform with important insights around consumer in-screen viewing experience allowing them to connect those metrics to important business outcomes. This allows customers to not only maximize subscriber retention and growth but also understand content and viewing trends so that they can deliver more personalized viewing experiences.

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