What Product Recommendation algorithms are there?

Bunting offers many algorithms which can be applied to Product Recommendations, with each having certain levels of suitability for different pages of your eCommerce website.

The following list details the algorithms and the uses for them:

  • Adaptive – These are the default setting for recommendations from Bunting using a machine learning algorithm to detect what the best recommendations are given in the context of the page.
  • Recently Viewed by Visitors
  • Most Popular – Last 24 Hours
  • Most Popular – Last 7 Days
  • Most PopularLast 30 Days
  • Popular Alternatives – This is most often used on Product Pages. It takes into consideration what customers view, add to cart and buy after viewing the specified product.
  • Cross Selling – Commonly shown on both Cart/Checkout pages and Product pages. This takes into consideration what other customers buy from these pages.
  • Repeat Custom – This will determine what customers usually buy, based on what their last purchase was. The context for this is the order complete page, this is done cumulatively.

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