fbpx
Home Products Recommendation engine

Recommendation engine

AI-based personalised recommendation widgets, which display content tailored to the individual needs of your clients
Learn more

Do you know that…

  • You have 15 seconds to show the customer a product that will interest them. After this time, the user will go to the competition.

  • The probability that your current customer will make another purchase is 63% greater than for a new customer.

  • Nearly 27% of sales in the e-commerce sector come from personalised recommendations.

Discover the power of personalisation

We reduce:
  • bounce rate
  • the problem of abandoned baskets
  • page drop rate
We optimise:
  • offers in e-shops
  • content of e-mails
  • shopping experience
We increase:
  • sales
  • the average value of the basket
  • conversion

QuarticOn


An innovative online tool dedicated to online shops that uses advanced
algorithms based on artificial intelligence.

The system records data about the behaviour of each user individually
and then, based on them, displays individually tailored offer.

Learn more

Personalised recommendations for an e-shop. How do they work?

  • Our analyst selects the most effective recommendation strategies for your e-shop and matches them to the website so that the sales goals were realised.

  • Individual customer segmentation allows you to create as many shopping profiles as there are customers in the e-shop.

  • Intelligent algorithms track users’ behaviour in the e-shop and create a separate behavioural profile for each of them.

  • Each customer is shown a different, personalised version of the e-shop, which ideally suits their individual shopping preferences!

Personalisation from the
first visit


First visit

Popular products recommended to new users

Subsequent visit

Product recommendations based on the customer’s previous visits in the online shop

Recommendations on the
category page


First visit

Bestsellers – the most popular products recommended to new users

Subsequent visit

Recommended for you – product recommendations based on the user’s interaction path on the website

Personalised product page


Cross-sell – products complementary to those that have been chosen so far, inspiring to make an additional purchase

Similar products – products with similar parameters that may also interest the user:

  • up-sell – similar products, but at a slightly higher price
  • shorter delivery time – similar products, but with a shorter delivery time

Recommendations on the pop-up*


Cross-sell – products complementary to those in the cart, which can slightly increase its value

Bestsellers – sales hits that inspire the customer to make an additional purchase

* The pop-up is displayed after adding the product to the cart

Recommendations on the
shopping cart page


Cross-sell – products complementary to those in the cart, which can slightly increase its value

Bestsellers – sales hits that inspire the customer to make an additional purchase

Recommended for you – products displayed on the empty cart page, based on the user’s interaction path on the website

Optimisation of the entire e-shop space

  • Error 404

    Product recommendations based on the user’s interaction path on the website

  • Thank you page

    Complementary product recommendations that encourage the user to make an additional purchase

  • Company blog

    Individually selected products that encourage the user to return to the e-shop

  • Order status

    Products complementary to the order or those last viewed in the e-shop

Simple implementation

  • Step 1

    Our team configures the system for you

  • Step 2

    You add one simple script to the page

  • Step 3

    You test the system and enjoy higher sales

Contact

Adrian Bera

Business Development Manager

Check our offer

This site uses cookies for statistical purposes, according to Privacy Policy.