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. Start building the perfect discovery feeds, follow suggestions, email digests, recommendations and customized feed edgerank, with Stream.
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
Machine learning based ranking for your feed that works like Facebook, Twitter or Instagram.
Follow Suggestions
Suggest users or topics to follow, based on our graph analysis algorithms.
Email Personalization
Make emails more relevant by personalizing them to a user’s interests, activity feed engagement and machine learning.
E-Commerce
Use Personalization to create unique product recommendations for each user.
News & Editorial
Eliminate editorial guesswork by automatically providing content recommendations and discovery.
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
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.
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.
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Analytic Events
Track the events that indicate user interest. Common examples are clicks, likes, comments, shares, search queries etc.
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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.
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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
- 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:
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.
Chat Messaging
Enterprise