According to Statista, Youtube has 2.1 billion users in 2021 and according to the company, their users spend an average of 1 hour on the platform daily. Netflix on the other hand has 203 million+ paid subscribers and the company has seen 21.9% growth over last 12 months. eMarketer estimates that Netflix accounts for 25.7% of daily digital video time among US adults. This means that the average US adult spends 30 minutes a day watching Netflix.
These overwhelming numbers, do make us question the strategy behind such extraordinary user engagement? Is it just good content that keeps their audience glued or makes them come back for more or is it something else? Experts are of the opinion, that it is the suggestion engine that is driving the numbers, along with the presentation of that suggestion.
Youtube and Netflix are not just video streaming platforms anymore. They have now become content suggestion engines with the radical advancement in machine learning and artificial intelligence. These platforms are analyzing the user’s interaction with the content on the platform to suggest relevant content as per the user’s preference. The suggested content is further segregated into various categories based on the user’s past views on the platforms, their choice of language, geographical positioning, peer’s choice and so on. The user’s visit is incentivized by this service the platform is providing and their engagement with the platform increases with the sense of hyper-personalization. Netflix rakes in USD 1 billion each year by ensuring strong customer retention with the use of recommender engines, or the channel approach.
Now imagine, having the same strategy implemented for your learning delivery. Given the user’s behavior on these OTT platforms, one can safely bet on the effectiveness of a similar channel-based user interface on a learning platform. In 2018, Josh Bersin said that research has found out that employees have on an average 24 minutes to dedicate to learning. Learning providers have to strategically make most of this time and also create an affinity towards learning. The Netflix-like channel-based UI on a learning platform revolutionizes the way a learner receives content and consumes it. They not only receive the most relevant content in one glance, but the admin can push the most important courses, assessments, videos etc according to priority.
Sayan Guha, Product Head – Learning Technologies, G-Cube is a big advocate of this channel-based approach and says ‘When we talk of the Learn Tech industry, the scope is unimaginable for using the channel approach for learning personalization. Based on the learners’ interest, training history, and content consumption choices, the recommender algorithm can throw in incredibly useful training suggestions which will most definitely increase engagement and effectiveness of training. Our channel-based approach is driving high learning adoption for all kinds of learners, from leadership to sales teams to customers.’
How does channel-based approach facilitate learning?
- It helps categorize the learning content automatically based on keywords which also helps in keyword-based content search. For example – When a learner types/search a keyword- for example, ‘mobile hardware items’ they will find, anything related to it available on the LMS, even from the ‘recently uploaded’ or ‘about to expire’ items on their channels. Having this feature helps learners save time and effort.
- The channels are rule-based which means that once a new learning content is uploaded on the platform, the content will get automatically segregated in the relevant channel.
- Learning courses, assessments, certifications which must be completed within a certain date or have to be renewed can be highlighted in separate channel with alerts to the user.
- As the channels are programmable, admin can edit the channel placement through simple drag and drop to put the channels on the top whose content needs attention from the learner.
- Learner can see the recommended content based on their job roles, KPIs, past learning records and peer activity, all segregated into separate channels. Just like Netflix, G-Cube’s LMS home page looks different for different profiles as the learner can see content relevant to their profiles and recommendations.
AI advancements has taken over all aspects of digital experience of human beings – starting from how we listen to music to how we navigate our way to work. That is the level of efficiency and comfort your learners deserve in their learning journey as well. To know more about the programmable channel-based G-Cube LMS, write to us.
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