If you’re a Netflix subscriber, you’ll have experienced their algorithmic hyper-personalization, perhaps without even realizing it.
To you, it probably just feels like Netflix has really great shows that you want to watch. And it does!
But there’s much more going on behind the scenes. Here are just two ways Netflix gets you to stream more shows.
Visual content personalization
It’s no secret that you see a different Netflix home screen to me. We each see a curated selection of shows based on our past viewing habits, plus recommendations the algorithm thinks we’ll like.
But did you know it goes even deeper? And it uses atomic content to do it.
Because even if you and I both see a thumbnail for the same show, it might not be the same thumbnail.
Once upon a time, Netflix invested time and resources into researching the single best thumbnail to appeal to the broadest possible audience. A universal image that would get the most plays from the largest proportion of subscribers.
But they realized that their global growth - and the diversity of their audience - meant one size would not fit all. So, instead, they decided to identify and use different artwork to appeal to different tastes.
Netflix has a library of atomic content that it can call on to customize the thumbnail you see, to maximize your interest, and increase your likelihood of streaming it.
Here are some examples from the always-illuminating Netflix Tech Blog.
Good Will Hunting
In this example, the thumbnail is personalized based on genre preference. Someone who watches a lot of romantic movies will see artwork containing Matt Damon and Minnie Driver. Whilst someone who primarily watches comedies will see artwork featuring the comedian Robin Williams.

Source: Netflix Tech Blog
Pulp Fiction
This example is based on which actors a subscriber typically prefers. Someone who has watched all of Uma Thurman’s films will see a thumbnail featuring her. Whereas a John Travolta fan will see him instead.

Source: Netflix Tech Blog
Stranger Things
This final example shows a variety of thumbnails for the Netflix hit, Stranger Things. What you’ll see depends on whether you’ve shown more interest in horror, noir, thrillers, teen drama, etc.

Source: Netflix Tech Blog
Key takeaway for publishers:
- Personalized visuals increase engagement
- Customer data forms a basis for logic that informs more targeted audiences - based on past content consumption
- A/B testing lets you know which atoms are most effective in different audience segments
- Visuals comprise atomic content such as imagery and micro-copy
- Atoms need metadata to be discoverable at a hyper-personalized level