Pipeless

Capabilities

All-purpose recommendations

Using engagement data from your user base, Pipeless can generate unique related recommendations specific to a topic or interest (even for new or unregistered users), increasing engagement, conversion and retention on your product.

Flexible formats for varied uses

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

Accepts metadata for enhanced results

Beyond user behaviors, Pipeless can take advantage of structured data like tags or categories to help improve recommendations, which also helps solve the cold-start problem when you have minimal user engagement data.

Use Case Examples

Recommend

Fashion Trends

Recommend styles, trends, categories where users view, like, share, post, comment, follow, add to wish list, click link, purchase

Recommend

Book Genres

Recommend genres, categories, topics where users view, share, read partially, read to the end, comment, like, add to reading list.

Recommend

Music Styles

Recommend music styles, genres, categories where users listen, read, watch, view, watch to the end, like, favorite, add to playlist, share, comment.

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.

View Documentation ⟶