Known to all, Netflix is the world’s leading video streaming platform. Moreover, it has over 221 million users across 190 countries and is growing every day. Only because they create content that resonates with their audience.
That is why they have grown to be one of the most popular streaming platforms in the world. As its American library is the finest among all Netflix libraries, don’t wait up and unblock American Netflix in Australia, New Zealand, Canada, and other countries right now to watch your favorite movies and TV shows online.
That said, Netflix also makes important strategic decisions based on consumer data. Plus, they strive to remain up-to-date about their user’s habits.
They have a team of researchers who collect, analyze, and present data to the higher-ups for that purpose. In this way, they can make informed decisions about the future of their business.
The streaming platform has been very good at utilising big data. But the main question is, how does that translate into a personalized user experience?
Without any further delay, here are a few ways Netflix utilises data to provide a personalized experience.
By Personalized Recommendations
An overwhelming amount of content is available for our attention in the digital world. In such situations, personalized recommendations can help us discover new content.
This step is very important to Netflix’s business because 80 percent of the content watched results from their suggestions.
Of course, Netflix keeps a tab of what film or TV show is being viewed. But it is only a tiny part of the information they gather. They also collect notes on searches, the date and time of a show or movie which was seen, and more.
Also, they take note of the device used to watch it and if the show or movie was skipped, paused, or re-watched. Customers may also rate what they see on Netflix, which helps gather data.
Related: See how to unblock Netflix on your smartphone with igeekphone.
Finally, Netflix processes all this information through a complicated system. As a result, eventually personalizes recommendations to each user.
By Competitive Advantage
What if we told you that Netflix knew exactly what movie you wanted to watch?
It’s no secret that Netflix has been using data for years to create movie recommendations. But it’s hard to believe that something so complex can be accomplished with just a few clicks.
Now, traditional TV networks do not hold viewership data. Because a third party delivers content to the viewers and cable companies, who own the data, this serves them as a competitive advantage over other channels of content.
Hence, streaming services distribute content to viewers via their apps and websites. In this way, they gather and own the data directly.
By Producing’ The Originals’
Netflix was confident in “House of Cards” profitability. They didn’t need to spend millions to entice people to watch it to such an extent. They just knew people were going to watch it.
Another example includes The Witcher, You, Stranger Things, and Money Heist. These are also among the most-watched Originals on Netflix.
Netflix’s original content has been viewed billions of times, proving it is making the best use of user data through its original series.
So Netflix knows what type of content users want due to Netflix’s direct interaction with them. It was also done by using data on how the audience connects with its media.
By Trending Content
Netflix processes not only individual data but also crowd knowledge. So it offers a “Trending” row at the top of their homepage, which helps the users figure out what else they could go for.
Netflix also strives to learn what the crowd prefers. Meanwhile, they ensure that their individual users don’t miss out. So they customize the data gathered, helping them make program continuity decisions.
Such as deciding which titles to renew and which to remove from their service. Like how Netflix renewed Lucifer, You, Emily in Paris, and many others. Only because its users and crowd loved them.
That said, you might have seen Netflix’s previews playing as soon as you start scrolling. That is also how Netflix promotes its trending shows according to your favorite genre.
By A/B Tests
No one knows the A/B testing approach better than Netflix. Both of these tests give consumers two types of experience. And with the help of that, Netflix observes how users react to recommended changes.
Netflix’s landing cards are an excellent example to use here. They are often graphics or video teasers available to a Netflix user while surfing.
The service tries to deliver appealing and attractive pictures/teasers. As a result, people are more pulled towards watching that video.
Thus, A/B testing helps Netflix to understand its users’ mindset. Therefore, it allows it to customize the user experience in its most effective manner.