Chosen Examples of Recombee Recommendation Engine

Recombee recommender engine can be utilized in a variety of areas including movies, music, news, books or e-commerce products. Our data scientists help you to set up the right scenarios to fit your domain specific use cases.

Homepage

Provide users with personalized experience from the very beginning.

Recommendations tailored to each specific user
Also applicable to anonymous users
Improve user experience and satisfaction
Decrease the time spent searching for relevant content

Product Detail Page

Increase basket size and/or conversion rates with personalized product suggestions.

Related product/item recommendations applicable not only to e-commerce but also to gaming, e-learning, job boards, etc.
Show your customers products they might like the most
Can be used cross-sell, up-sell
Different editable scenarios

Email/Push Notifications

Increase the click through rate by 30% (CTR) with personalized e-mail marketing.

Bring users back to your website
Boost order value and profit margin
Reduce Purchasing Cycle

Full-text Search

Improve relevance of search results and save customers’ time. Apply boosters of certain products in the search ranking to maximize revenue.

Combination of Search Engine and Machine Learning
Results based on search query full text matching and user’s interaction data and metadata
Narrow searches to specific items to save time
Higher purchase rate and satisfaction
Aids in the selection process for undecided customer
Support for typo corrections
Support for variety of languages, including non-European languages

How to Apply Personalized Search