Netflix & Chill
Netflix analyzes and collects information from the three million searches by subscribers, 30 million plays a day (including pause, rewind and fast forward) as well as data on when shows are watched and on which devices. This is the type of data that helped Netflix predict the success of House of Cards before the first episode aired.
Can analyzing motion provide deeper insights into an audience’s viewing habits and behaviour? You bet. Let’s have a look at a couple of examples.
- Comparing moments of inactivity with moments of activity and identifying patterns may reveal which segments keep/lose the audience’s interest. This type of data may be useful when determining the most effective time to display native advertisements. This can all be done with a simple Netflix smartwatch app, with options to control volume, fast forward and rewind as well.
- This data can extend beyond the entertainment industry to education and sales. Imagine TED had data that informed which speeches and audiences were the most attentive by examining the level of motion of the audience’s wearables during a talk. The same principle might assist in perfecting a sales pitch as well. Again smartwatches or a smartphone app which determines the movement state of the attendee to help gauge engagement.
Analyzing motion provides insights into an audience’s behaviour beyond the device screen or speaking stage. Explore conference.kiwi.ai to find out what your audience isn’t telling you.
Please though, no commercials... except during the superbowl.
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