Spotify uses personalization to keep listeners engaged for longer amounts of time. They implement features such as Discover Weekly, Daily Mixes, or the AI DJ to keep users on the platform and make their platform the most interesting and attractive (in comparison to Apple Music or YouTube). Additionally, more listening time means more ad impressions for free users and lower churn for Premium subscribers. By continuing to adapt recommendations, Spotify maintains user retention and improves lifetime value across its user base.
LinkedIn’s features for personalization are targeted at increasing how often people return to the platform. They fill users’ feeds with relevant posts, targeted job alerts, and “People You May Know” encourages users to engage further. Each extra visit creates more ad inventory and improves the data that powers Recruiter searches and Premium recommendations. Personalized notifications and job suggestions are convincing aspects of LinkedIn’s ability to help users build networks, which draws users in.
TikTok’s basis lies in real-time personalization. Every move by a user, including their interactions with videos, how long they view different videos, etc, trains the For You Page. By creating a For You Page that is unique to each user, they are able to increase each person’s watch time and improving ad targeting. When TikTok recommends the right creator or shows the right ad, it boosts Click Through Rate, which raises Cost Per Ad Views. Its recommendation engine is directly tied to revenue, so small improvements in relevance translate into huge gains in spend and advertiser retention.
Across these three platforms, personalization keeps users coming back, driving core business metrics.
