Recolize Recommendation Engine

MageCloud partnered with Recolize to offer Recolize Recommendation Engine in your MageCloud panel for our simple 1-click installation option. To install this extension - create your account with MageCloud and launch a new Magento store. It takes only 3 minutes.

Recolize always provides support for customers who have installed Recolize Recommendation Engine Magento module. Feel free to leave a review for the company and the extension so we can offer you better products and services in the future.

You may want to check other Recolize Magento extensions available at MageCloud and even get extensions from hundreds of other Magento developers using our marketplace.

The Recolize Recommendation Engine generates personalized product recommendations for your shop.

Compatible with Magento 1.x

Recolize Recommendation Engine

The Recolize Recommendation Engine extension is available in German and English. In the following you find the English description. For the German description see below.

See it in action

You want to see Recolize Recommendation Engine in action?
Just register for free with the following links and you're ready to start in minutes:
English
German

English

Description

Install the Recolize Recommendation Engine and register for free here. You can start immediately using your recommendations and you get 1.500 clicks for free - every month.

Features

  • User-to-user recommendations ("Customers who bought this also bought")
  • Item-to-item recommendations ("Other products like this")
  • Top items recommendations ("Products which generated to most sales")
  • Configure and filter your recommendations your way - you have total flexibility
  • And many more: visit our website for the full feature list here.

Deutsch

Beschreibung

Installieren Sie die Recolize Recommendation Engine und registrieren Sie sich kostenlos. Sie können sofort mit den personalisierten Empfehlungen in Ihrem Magento-Shop starten und können unseren Service kostenlos bis 1.500 Klicks nutzen - jeden Monat.

Features

  • User-to-user Empfehlungen ("Kunden, die das gekauft haben, haben auch gekauft")
  • Item-to-item Empfehlungen ("Zu diesem Produkt passt auch")
  • Top items