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Json data – the frame will display products selected by the shop, based on its own criteria. This is a frame with a small range of changes when it comes to th

JSON logic allows displaying a frame with a selected list of products to be displayed. Example use: a box under a blog article containing only the products men

Adding recommendation frames by yourself for the first time only applies to customers who use the self-implementation method. In the case of the QONizer method

Editing recommendation frames: drag&drop editorFind out what you can do with recommendation frames thanks to our drag&drop editor.In the Drag&drop editor, in t

Our panel enables the preview of recommendation frames during the implementation process. This allows customers to verify the appearance of recommendation fram

There are 12 predefined recommendation strategies available in the QuarticOn system. Below is a list of subpages on which, according to our experience, individ

Recommended for you – the frame will display products tailored to each customer’s current needs on the basis of their previous choices and behaviour in the sh

Similar items – the frame will show the customer the products that are most often displayed together with the products currently viewed. Displays are made on

Up-selling – the frame only works on the product page; it displays to the customer products similar to those currently viewed, but with a slightly higher price

Cross-selling – the frame will show the customer the complementary products that were most often added to the shopping cart together with the product purchase

Cross-selling on the cart – the frame will show the customer the complementary products that were most often added to the shopping cart together with the prod

QuarticOn gives you the opportunity to conduct A/B tests to select a recommendation strategy that generates better sales results. If you are not sure which rec

In response to the expectations of our clients, we provide a solution that enables the independent implementation of the QuarticOn Recommendation System in an

The JavaScript API that we call QONizer method is the most common form of implementation and is recommended for online shops with more than 80,000 visits per m

JavaScript API – QONizer implementation method requires the involvement of our departments and consists of few stages. 1. Sales teamOur Sales Representative wi

This implementation method uses the API access key for backend integration and is recommended for highly developed, large companies with their own IT departmen