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5 best examples of Personalization Mobile Applications


( (June 27, 2019)--Personalization feature in the mobile app means the process of building an app that targets a specific audience and their needs. Same as other forms of personalization, personalization mobile apps customized the display according to one's experiences and needs rather than a Consumer news 4similar display for every user.

Is Personalization Mobile Application Important?

There are 2.6 million apps in the Google Play Store and about 1.8 million apps in the App Store according to 2019 statistics. The users are likely to install apps but delete if the first experience is not good. To make an app a user-friendly the developers need to provide attractive first experience.

Considering personalization mobile application as the main feature can help an iOS or Android Application Development Company to increase the use of the app and the demand for applications with similar experience.

Three approaches of data collection:

Previous data is used to provide relevant content and customized experience. The data is collected in three ways:

  1. Demographic data:

The data which includes the biographic information of a user is known as demographic data. It includes gender, age, hobbies, likes and dislikes and displays relevant content. The data is collected by direct questions or form filling as well as connecting with other social apps.

  1. Contextual data:

The data is based on the content that is discussed in a context. The data of geographic location, time or device used by the user is collected. The data is used to find nearby places like restaurants, gyms and etc.

  1. Behavioral data:

The data of user behavior and practices on the app is used to customize the experience. It includes the data of searches, purchases, history and etc and helps to customize the newsfeed. 

Some known apps using personalization:

  1. Spotify

It is a music app that customizes the user experience. They have a playlist which combines some songs that the user has not to listen and mixed them with user’s favorite songs. The playlist is known as discover weekly. It also has some mashups of users frequently listened and never listened to songs. They also make a yearend playlist with the same scenario. 

  1. Netflix:

Netflix users experience a completely tailored account with a legendary engine. It gives the relevant suggestions at the end of the show and at the home screen of the users' account. It gives similar shows suggestions to the user according to the individuals’ interest.

  1. Amazon:

An online shopping app collects the data of the shopping trend of a user and display on “interesting Finds” page. It collects data from searches and previous purchases.

  1. Instagram:

They have an “Explore” tab to suggest videos and images to the user. They increase user interest in-app by customizing suggestions according to the users’ history. They also display relevant ads on the app to engage the user.

  1. Facebook:

It is a well-known personalization app that customizes the newsfeed. They take data from users’ network to increase user interest and enthuse to chats with friends, watch videos and remainders birthdays and memories. 


The personalization mobile apps are more likely to use by the users because they give the interface according to user interest. They engage their user by maintaining the interest and user spent more time in-app.