Demographic data is used to deliver greater insight into our streaming service’s target audience and/or to create the profiles of those so-called “personas.” Demographic data is primarily used to define campaign strategies tailored to customer acquisition, retention, re-capture, and engagement for a respective target group. It is can also be used as the underlying foundation for analyzing our performance reports and the overall success of our streaming business.
Data-driven Content Intelligence: How to Make the Most of Your Video Service Catalog
Content is KING! Yes, it is, but every king needs to rule his kingdom wisely to have a prosperous and long-lasting reign. A content catalog is not very different: how a video service “rules” (manages) its catalog can make the difference between a successful video service and a mediocre one.
What can Artificial Intelligence (really) do for your video business?
Today’s entertainment industry technology vendors are reeling off jargon like “AI”, “machine learning”, and “deep learning”, touting the benefits these technologies promise.
It can be difficult for video service providers decision makers to discern between the future promise of AI and what is truly feasible and effective today.
In this white-paper you will learn what AI can really do for your video business TODAY! , not in the future.
What is data-driven user experience?
Gaining insight into the performance of video service user experience must be incorporated as a core part of a video service’s product management process. It should drive activity like product feature prioritization and changes to the user experience that impact the overall customer engagement, thus helping detect UX inefficiencies and enhancing it with a data-driven approach.
Learn from this whitepaper some of the areas of analysis in this context that you should not overlook if you want to keep your video users engaged.
How to optimize your OTT video ad strategy to make it work for every customer
Why Audience Clustering in Video Services is crucial for success?
If content is king in the video industry, data is the new queen. Advanced user and content-centric knowledge is now possible thanks to the explosion of data volume, variety and velocity, which is catalysing new business models and reshaping the entertainment industry.
Reducing OTT Churn & Machine Learning. Why you should try it?
Increasing OTT competition and slowing OTT market growth will make customer acquisition a more challenging, and expensive, proposition for OTT services.
As it becomes harder to win new customers, it becomes even more important to retain those customers you already have.
How is artificial intelligence impacting TV and video service providers?
There is no question that artificial intelligence (AI) currently plays an important role in all aspects of our society; moreover, experts like Andrew Ng, former Chief Scientist at Baidu, a giant Asian web services company and pioneers at putting artificial intelligence to work across their company, claims that AI will have the same impact on the world as electricity had a hundred years ago.
Ignite your OTT customer passions or die!
Is your OTT Video Service Successful? KPIs to Track OTT Subscription Video Services
A successful OTT service means you are reaching a predefined business goals you have previously set.
Defining these business goals for my OTT Video service and translate it in specific KPIs is not always easy.