Stream Personalization for feeds, email, discovery and recommendations. Dynamically improve user experience, enhancing your app's engagement, retention, and conversion. Start building the perfect discovery feeds, follow suggestions, email digests, recommendations and customized feed edgerank, with Stream.

Discovery & Interests

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

AI Feed Ranking

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

Follow Suggestions

Follow Suggestions

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

Email Personalization

Email Personalization

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



Use Personalization to create unique product recommendations for each user.

News & Editorial

News & Editorial

Eliminate editorial guesswork by automatically providing content recommendations and discovery.

Our customizable personalization can do it all

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

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.
Extract Meaning from Unstructured Data
Bring Personalized Experiences to Life

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.

Build smarter apps with machine learning personalization.

  • Analytic Events

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

  • 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.

  • Data Collections

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

Stream Advantage

Build personalized experiences customized to your unique case, without the headache of becoming an expert or spending months on development.

  • Dedicated API Endpoints
  • Access our Data Science Team

Available options

  • 24/7 Emergency Support
  • Shared Slack Channels
  • AI Text & Image Moderation
  • 99.999% Uptime SLA
  • SSO, SAML, 2FA
  • Audit logs
  • Onboarding services
  • Dedicated AWS Region Stack

Let's Discuss Your Use Case

Learn more about our custom solutions

Personalization Case Studies

Real world examples of how Stream is being used for better engagement:

Personalization Case Studies

A big perk that came along with partnering with Stream is that the feed content can be personalized to each individual user, and this is incredibly important considering the nature of these apps. Healthline members appreciate having a personalized experience over a global one considering each condition/illness and stage of the condition is unique. Stream’s technology is smart enough to efficiently collect the right data through clicks, likes, follows, etc. to curate a customizable feed for each person.

Case Study: Healthline and Stream →