![]() Aggregate ratings or user reviews help inform users and guide decision-making-regardless of whether or not you have a personalization algorithm in place.This is especially important for content-based products like Netflix or YouTube that rely on predictive content personalization to deliver content to the right users. And this personalization gets more accurate with recommendations over time-the more a user rates the smarter your product becomes. Each rating is a data point that can be plugged into sophisticated algorithms to automate personalization. User ratings help you personalize the content that each user sees. ![]() Before you choose which rating system to use in your product, it’s important to think about what user ratings can (and can’t) accomplish. Ratings serve different purposes for different products and different users. We’ll also explore the different kinds of rating systems, and which option (if any) is best for your use case. In this article, we’ll take a closer look at how, exactly, rating systems drive user engagement and retention. Netflix, Amazon, Yelp, Google, Youtube, Pandora-all use ratings to personalize the individual user experience. In fact, once you start looking, you’ll see this tactic everywhere. One of the simplest (on its face, at least) and most common ways to accomplish ongoing personalization is to let users rate app content-whether that's with a star rating, thumbs up or down, hearts, or other form of evaluation. But what about long-term users? How do you replicate the delight of logging into a personalized dashboard for the first time? That’s true during onboarding, and it’s even more true as users invest time and data in your product.ĭuring onboarding, you can ask your users to select categories that apply to them or content they’re interested in to create a personalized early user experience. ![]() ![]() There’s something delightful about a user experience that feels like it was made just for you. ![]()
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