Aggregation of various data: behavioral data (visits, clicks, add-to-cart), historical data, user data (social, segmentation)
Generation of direct and indirect relationships between users and products
Analysis of relations, according to multiple criteria. Then calculating a puchase probability computation
Real time recommendations display in accordance with each profile
Display 100% personalized recommendations from the 1st visit, on every page from the home to the shopping cart page, tailored to your ergonomics.
Customize your newsletter, retarget abandoned carts, add commercial bounce down in your transactional emails and detect customers who desire a specific product.
Display cross product/content recommendations from third party websites to create traffic synergies between your sites galaxy.
Consideration of specific business rules : inventory management, margin management or management of product grouping constraints.
No manual settings required at any time.
improvement of the algorithm according to successes and failures observed, thanks to a machine learning system.
This is one of strong web trends. Enrich the experience of each visitor through personalized recommendation. Discover through this paper all the opportunities for your business that provides the personaliszed recommendation.Read more >