OTT platforms conduct surveys by calling viewers to get their opinion related to recently released shows and upcoming shows by asking various predefined questions related to those shows, artists, concepts and ideas in those shows, etc…
The surveys can be conducted on a small sample and the results can be extrapolated to the entire set of audiences. These surveys result in audio recordings of the conversations between the survey agents and viewers. Besides this, the OTT platforms would have inbuilt mechanisms for collecting viewer opinions as simple as like/dislike buttons or other complex methods to collect text or voice comments.
These conversations would contain information about the trends and patterns surrounding the media/entertainment content, likability of the artists appearing on the show, influence and reach of the ideas/concepts in the content, viewer expectations, intention to watch, satisfaction/dissatisfaction levels, viewers' and critics' opinions and sentiments, general comments and so on (based on the survey questions).
Later, various analyses have to be performed on these recordings, such as sentiment analysis, emotion analysis, etc.., to derive meaningful insights from them. However, time is the most crucial element while conducting these surveys as the creators would have to adjust their marketing strategies or make corrections in the contents of their shows based on the results from these analyses and meet the characteristic strict deadlines of the entertainment industry.
The surveys inherently are time consuming as each viewer in the sample has to be manually called by a survey agent and conduct the survey. After the data is collected, more human resources have to be deployed on transcribing, analysing and interpreting those conversations and to derive useful insights based on which decisions can be made by the creators. By and large, the whole process is tedious and labour intensive and the most important problem of all, it is time consuming. Moreover, there are significant costs associated with deploying vast amounts of human resources to meet deadlines.
Our AI engines can help you in every step of the way right from collecting the data, transcribing them, analysing them and presenting insights before you with very little human intervention.
The whole surveying process can be automated by using our VoiceInsights AI engine.
One of its components is Text-to-Speech Module which can make calls to multiple viewers at the same time, and have conversations and conduct surveys just like how actual agents do, and deliver the recordings of the conversations. It can fluently talk in and understand multiple languages, while having these conversations. It comes as a plug-and-play module which can be integrated with your OTT platforms or with your survey infrastructure and can be trained to make calls based on predefined conditions (eg: a viewer just finished watching a show, many viewers stop watching around a particular length through the show, etc...)
It is evident that the time consumed for conducting the surveys can be reduced multifold. Also, manpower costs can be vastly reduced as the AI module requires very little human intervention. You can simply perform your analysis processes on these survey recordings by using any cloud based/on-premise voice analysis software of your choice.
If you want to increase the robustness of your survey infrastructure and reduce costs and time associated with the analyses, you can add our AI powered Voice Enhancer Module which greatly improves the way you handle recorded conversations. It is highly capable of preparing audio recordings for cloud based/on-premises voice analysis softwares which is proven to reduce your analyses costs by upto 4 times. It also removes all the valueless parts from the audio, such as silent periods, pauses, etc… and keeps only the valuable content in the audio. It reduces the billable durations of voice recordings for cloud based/on-premise voice analysis softwares. To know more about how our Voice Enhancer Module read this.
Our VoiceInsights AI engine is backed by the training with more than 60k hours of audio data, 20+ language variations and 40+ accent variations suppresses all the stationary and non-stationary noises from the audio and recreates the audio with crisp and clear voice, which is perfectly audible to humans and is easier for any voice analysis softwares to perform their analyses on.
Our VoiceInsights AI engine is a whole solution by itself which can be readily deployed for any complex business requirements across multiple domains. The VoiceInsights AI Engine encompasses multiple pre-built AI components from AISS which are fully developed, well trained, principal AI modules. Each of these modules are ready to be deployed on solving basic business requirements by themselves such as voice transcription, voice enhancement, text profiling, etc… without the need for any domain specific customization before deployment.
Unlike the traditional way of identifying business objectives and then developing complete products around those business requirements, components of RBG VoiceInsights can be seamlessly integrated with each other in various sequences to create a complete solution which can achieve specific business requirements thereby greatly reducing associated time and costs.
If you would like our experts to provide a walkthrough of the AISS, please request a demo by filling out the form. A member of our team will reach out to you shortly to schedule a meeting.