Are you aware that 80% of movies people watch on Netflix are from AI-powered recommendations? Here’s a pictorial illustration.
Netflix uses a recommender system known as collab australia whatsapp number list orative filtering, where the algorithm analyzes content association from user ratings while keeping the user’s movie taste in mind. YouTube, Spotify, and TikTok use a similar recommender system, and this explains why most recommendations you get in these apps revolve around your recent searches.
Rihanna’s music for one hour on YouTube, your music playlist should look similar to the image below. The reason is simple. The algorithm works in favor of the customer’s selections.
4. Amazon
Amazon was one of the first ecommerce businesses to take AI personalization seriously. Without it, a customer can be easily overwhelmed by the numerous options available on the app. For instance, if you want to buy a book from Amazon, the first thing you see is:
But the second you start selecting your preferred book, personalized product recommendation comes into play. Let’s say you select a Colleen Hoover book, then the recommendation page changes to the image below:
This is because other customers that bought a Colleen Hoover book also bought other titles by the same author or similar books in the same genre.
How to Personalize Mobile UX with Reteno’s Product Recommendations Engine
E-commerce and m-commerce businesses can utilize Reteno’s recommendation engine to stimulate demand, enhance user engagement, and improve user experience. At Reteno, our AI-powered personalization tool dynamically provides omnichannel recommendations for mobile apps, websites, and emails.
To personalize the mobile user experience with app product recommendations, you should pay quality attention to the following: