Capabilities

 

Personalized recommendations

Utilizing following relationship data from your user base, Pipeless can generate unique recommendations tailored to any user, increasing your network effects and user retention on your product.

Flexible formats for varied uses

Our recommendation algorithm accepts any type of relationship between accounts, so no matter your industry or how your users engage with each other, Pipeless can offer personalized recommendations.

Multi-layered data beyond following

Other than user following relationships, Pipeless can look at engagement with posted content of users along with structured data like tags to enhance account recommendations.

Advanced controls for recommendations

Designed to be simple and easy-to-use, our API provides optional advanced functionality to include positive signals with account content, content tags, dismiss recommendations, and more.

Use Case Examples

 
Recommend

Indie Artists

Recommend artists, musicians, performers where users view, like, share, watch, listen, purchase, book tickets, subscribe, follow.
Recommend

Live Streamers

Recommend streamers for games, shopping, vblogging where users view, watch, like, comment, tip, purchase, follow, subscribe.
Recommend

Social Media Users

Recommend users, accounts, people where users view, like, comment, upvote, reshare, connect, follow.
Recommend

Fashion Bloggers

Recommend bloggers, creators, posters where users view, like, favorite, share, comment, subscribe, follow.
Recommend

Organizations

Recommend organizations, companies, groups where users view, like, share, subscribe, follow, connect.
Recommend

Media Channels

Recommend media accounts where users watch, read, listen, view, watch, like, favorite, share, follow, subscribe.
REST API

Quick Implementation

The Pipeless API has extensive documentation covering how-to’s, tutorials and API reference material to help you get up and running as quickly and easily as possible. We also have a built-in data uploader in our dashboard so you can go from signing up (for free!) to testing your own data in minutes.

More Recommendations

 
Recommendations

Content Recommendations

Get a personalized set of recommended content based on a user’s interests and what similar users have engaged with.
Recommendations

Related Accounts

Get a list of accounts who are followed by similar people and have similar interests as the account being viewed.
Recommendations

Related Content

Get content similar to other content based on categories or tags along with user engagement.
Recommendations

Related Topics

Get similar tags or categories based on shared qualities.
Recommendations

Sorted Content

Get a new sort order for a list of content, personalized to a user based on their engagement.

Other Solutions

Activity Feeds

Getting a personalized activity feed can be a lot of work, but using the Activity Feeds API, you can get the right content to show to the right person at the right time.
Learn More