CAMBRIDGE, Mass. — Akamai Technologies, Inc. (NASDAQ: AKAM), the world’s largest and most trusted cloud delivery platform, today released new research demonstrating how quality of video resolution and playback affects viewers’ engagement with and loyalty to over-the-top (OTT) video streaming services. Conveyed through advanced biometric measurement tools including facial coding and skin conductance, the findings underscore the importance of delivering consistent, high-quality video across any OTT business model.
According to the study conducted by third-party research firm Sensum, viewers disengage with emotive storylines and react negatively to low-quality streaming incidents like buffering regardless of the brand or interest in the content. The research shows negative emotions increase 16 percent while engagement decreases nearly 20 percent as a result of these poor experiences. The survey also demonstrates that 76 percent of participants say they would stop using a service if issues such as buffering occurred several times.
“This unique research shows there is no place for low-quality video in any streaming business model,” said Ian Munford, director of product marketing, media solutions, at Akamai. “The premium online video market is extremely competitive; the battle for revenue share is intense and subscriber acquisition costs are increasing, making differentiators like quality of experience more important than ever. Service providers cannot take risks with streaming experiences that are compromised by low resolution or buffering. They must provide consistent, high-quality experiences to help retain subscribers and reduce acquisition costs.”
The research also found:
The study, one of the most comprehensive of its nature ever conducted, used a variety of testing procedures including sensory, implicit and explicit responses from more than 1,200 participants. All tests carried out adhered to the Video Quality Experts Group (VQEG) standards to ensure results could not be contaminated. Akamai also created fictitious brands to remove any previous emotional association with the business models and used the same content across all the brands to nullify the impact of content type on the respondents.