{"id":6696,"date":"2023-05-04T17:34:21","date_gmt":"2023-05-04T15:34:21","guid":{"rendered":"https:\/\/www.fact-finder.com\/blog\/?p=6696"},"modified":"2025-07-22T16:32:49","modified_gmt":"2025-07-22T14:32:49","slug":"product-recommendations","status":"publish","type":"post","link":"\/blog\/product-recommendations\/","title":{"rendered":"AI product recommendations in eCommerce: best practices, benefits and real-world examples"},"content":{"rendered":"\n

AI product recommendations can increase revenue by 10%<\/a>. Others rarely convert, just wasting time and effort. So, how can you get more ROI from your online shop\u2019s recommender system with less of the work?<\/em><\/p>\n\n\n\n\n\n\n\n

What makes a product recommendation clickable?<\/strong>\u00a0<\/h2>\n\n\n\n

Shoppers who engage with AI product recommendations have a 26%<\/a> higher average order value (AOV). They\u2019re 4.5% more likely to complete their purchase and they spend 5x more than other shoppers per visit. But how do you get those people to engage with your recommendations in the first place? One word: relevance.<\/p>\n\n\n\n

Product recommendations that pick up on each customer\u2019s unique preferences and search intent speed up shopping journeys, boost basket sizes and deliver tailored experiences that turn first-time visitors into life-long fans of your brand.<\/p>\n\n\n\n

The best part is, setting up highly relevant recommendations like this doesn\u2019t need to take much time. Thanks to AI, you can deliver inspiring one-to-one buying journeys without any manual segmentation<\/a>, third party data or long learning curve.<\/p>\n\n\n\n

In this blog post, we\u2019ll break down the types of product recommendations you need to know about, best practices for how to drive efficiencies with AI and the incredible impact they can have on your business \u2014 including real-life use cases.<\/p>\n\n\n\n

First things first: product recommendations aren\u2019t just about increasing conversions<\/h2>\n\n\n\n

A strong recommendation strategy starts with a clear goal. So, what are you really trying to achieve? Is it more items per basket? Higher conversion rates? A bigger AOV?<\/p>\n\n\n\n

Sometimes, these mean the same thing, but not always. Cheaper products often convert better, so even if customers buy lots of products, your AOV could end up lower than if they just stuck with one high-value item. Hence, it\u2019s best to balance tailored cross-sells with strategic upsells, which don\u2019t just increase conversions but also make a meaningful difference to your bottom line.<\/p>\n\n\n\n

How most product recommender systems work<\/h2>\n\n\n\n

Basic product recommendations fall into four main styles:<\/p>\n\n\n\n