Product Sense Pushups: Personalization Strategies — Customization vs. Automation

Spotify

Spotify priotitizes listening time, or more specifically number of songs listened. Thus, the more personalized the experience is the more they use wants to listen to music. As a result, Spotify spends a lot of time working on their recommendation algorithm as well as showing that you deserve new music and custom playlists that will fit their mood as best they can. For me personally, when they added the day list feature, I felt like I had a default playlist that wouldn’t match my expectations nearly always without having to think. In addition to this, you add the social features and Spotify, even though it might not be the cheapest or highest quality option, it is a no-brainer for many.

TikTok

TikTok’s priority is for you to stay on their app for as long as possible so that they can show you as many answers as possible. They do this by specifically picking videos the algorithm things you might be interested in. They are all short form hits of dopamine that your brain is designed to enjoy. In between these development hits, it is their job to insert ads that will be interesting to the user so that they click and interact with them so that they can get money. At the same time, TikTok promote means that the algorithm can be bribed in order to increase use for a specific video (although I am unsure whether this is shown directly to the user or whether it this prioritization happens in the background). The more time with, the more ads, the more revenue.

LinkedIn

Lastly, LinkedIn is designed for super precise targeting by knowing everything about the users, professional life and targeting their ads, and for example, job offers specifically to use your who might be the best fit. In addition, features from LinkedIn, premium as well as recruiter accounts, create a revenue stream for LinkedIn that uses more database than an asset, social media in order to find a good candidates.

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