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WebToffee’s “Related Products for WooCommerce” vs WPSolr : WordPress recommendation plugins

WPSolr vs WebToffee 'Related products for Woocommerce'

Table of contents :

You could want to equip your Woocommerce website with product recommendations but don’t know which solution is the right one for you. This comparison guide will detail the differences between the two recommendation plugins : WebToffee’s ‘Related Products for WooCommerce’ and WPSolr.


You could also view our top 5 WordPress recommendations plugins list.


WebToffee’s ‘Related Products for WooCommerce’


WebToffee’s ‘Related Products for WooCommerce’ plugin‘s overrides the default Woocommerce related products. It is a simple and intuitive plugin that will filter products based on taxonomies


  • Specialized in Woocommerce : can only index product types.
  • The recommendation engine is stored on the WordPress server which decreases performance greatly.
  • Display recommendations in a slider.
  • Recommend products in store and in product detailed view.
  • Place recommendations anywhere using shortcodes.



WPSolr is a search & recommendations WordPress plugin that is more general purpose. It can work with blog websites, Woocommerce and even buddypress. WPSolr is compatible with many search and recommendations engines (view the comparison) which ensures fast and relevant results.


  • Index any data type (any post-types, products, taxonomies, etc…).
  • Uses third-party world-class AI recommenders (Algolia and Recombee) to recommend the most relevant products with lightning speed. They work using collaborative filtering which relies on analyzing user behavior and preferences to generate personalized recommendations.
  • Many models to choose from : related, personal, trending, visually similar, cross-sell, etc… (view all Recombee and Algolia models).
  • Also includes search (keyword search, AI search, Ajax search, personalized search).
  • Place your recommendations anywhere using shortcodes.
  • Many templates to choose from, customize them using twig.
  • Detailed real-time analytics using the recommenders’ dashboard (sales + click-through rates and conversions).


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