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Personalization

Increase Engagement with
AI Personalization

Stream Personalization for feeds, email, discovery and recommendations. Dynamically improve user experience, enhancing your app's engagement, retention, and conversion.

example of AI personalization

Key <Personalization/> Features Users Need

Start building the perfect discovery feeds, follow suggestions, email digests, recommendations and customized feeds, with Stream.

example of discovery and interest user feeds

Discovery & Interests

Surface content that could otherwise never been seen that is most likely to be liked and engaged that aligns to your users' interests.

AI feed ranking diagram

AI Feed Ranking

Machine learning based ranking for your feed that works like Facebook, Twitter or Instagram.

example of follow suggestions

Follow Suggestions

Suggest users or topics to follow, based on our graph analysis algorithms.

example of email personalization

Email Personalization

Make emails more relevant by personalizing them to a user’s interests, activity feed engagement and machine learning.

example of e-commerce feeds

E-Commerce

Use Personalization to create unique product recommendations for each user.

example of news and ediitoral feeds

News & Editorial

Eliminate editorial guesswork by automatically providing content recommendations and discovery.

Build Custom Personalization Feed UX

  • Instagram style explore & discovery
  • Twitter style suggested users
  • Ebay style similar products
  • Quora's newsfeed style
  • Strava style account follows
  • Apple style news
  • Netflix style recommendations
  • Amazon style suggestions
  • News360 style sorting
  • Youtube style suggested channels
  • Walmart style suggestions
  • Winds RSS

Easy to use

Extract Meaning from Unstructured Data

Stream can extract meaning from images, text and audio through our powerful machine learning models.

  • Understand and classify the content of 
images with machine learning.
  • Analyze the text content in the activities to 
determine the associated topics.
  • Detect spam or non-safe content and report it to your 
content team or block it automatically.
  • The resulting rich data ensures that the personalization
    engine quickly picks up on a user’s interests.
example of feeds api data processing and personalization

Bring Personalized Experiences to Life

Personalization of your feeds, emails and apps requires complex machine learning models. Combine analytics, feed content and collections to understand what users are interested in.

example of analytic events

Analytic Events

Track the events that indicate user interest. Common examples are clicks, likes, comments, shares, search queries etc.

example of feeds and follows

Feeds & Follows

The follow relationships and activities give important insights into what a user is interested in and what else they might want to follow.

example of data collections

Data Collections

Collections allow you to store any other data that’s relevant for personalization, such as user profiles, products or categories.

Discover Why
Healthline Choose Stream

example of healthline app

Healthline came across Stream right when they were starting to research how their team would have to spec, design, and iterate the technology to develop these feeds, taking away from the time needed to put toward the core competencies of the apps. Stream came to the rescue just in time!

Let's Discuss Your Use Case

Learn more about our custom solutions

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If you're interested in a custom plan or have any questions, please contact us.