E-commerce recommendation systems based on user interaction with products.
Personalized content and notifications based on user interaction.
Client and product segmentation.
Users of digital sales outlets (websites or applications) only turn into buying clients if they find the product they look for within a reasonable time span. The question is how to guide them to the right kind of product. One way to achieve this is to create algorithms that incorporate their interests and search history.
For our client 500 Markets, a Barcelona-based developer of collaborative e-marketplaces, we have designed and implemented an algorithm that increases the visibility of relevant products. It does so on the basis of a client’s connectedness with other users, their preferences and their search history. This has increased their interaction and retention rate.