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Table of contents :

“WooCommerce Product Recommendations” vs WPSolr : WordPress recommendation plugins

WPSolr vs Woocommerce Product Recommendations

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 : WooCommerce Product Recommendations and WPSolr.

 

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

 

WooCommerce Product Recommendations

 

Woocommerce Product recommendations is an official Woocommerce plugin. This recommendation plugin is content-based (based on keywords) and it has the distinctive advantage of being made by the Woocommerce team.

 

  • Specialized in Woocommerce (index products and orders).
  • Engine shares the same server as WordPress, so it is slower (less computing power available).
  • Countless recommendation algorithms (“Recommend Best Selling Products”, “Recommend New Arrivals”, “Recommend Top Rated Products”,  etc…), all content-based. The recommendations are less relevant than with collaborative filtering.
  • Deploy recommendations at standard predefined locations or anywhere using shortcodes.
  • Only updates the recommendations every 24 hours.
  • Provides sales analytics.
  • Allows for customization of recommendations using filters and boosters (amplifiers).

 

WPSolr

 

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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