{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5d535c935cbc0d0a41f6a732/621d1ef79a7fe700122b4ac9?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"The Tinder of online shopping: Next-level product recommendations with Skafos.ai's Michael Prichard","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5d535c935cbc0d0a41f6a732/1646075609114-7db39633fd36e71c6e94e6495f437028.jpeg?height=200","description":"<p>It’s a simple concept really - people want to buy things that other people have already bought and have given their approval. Good recommendations for a product means more people will buy, and bad reviews mean the product might flop. But here’s the thing: As an ecommerce business, you almost certainly need to have product recommendations available because of these stats:&nbsp;</p><ul><li>54% of retailers reported product recommendations as the key driver of the average order value in the customer purchase.&nbsp;</li><li>75% of customers are more likely to buy based on personalized recommendations.</li><li>37% of shoppers that clicked a recommendation during their first visit returned, compared to just 19% of shoppers that didn't click a recommendation</li></ul><p>So as an ecommerce company, how do we leverage product recommendations to maximize conversions and order size?</p><p><br></p><p>Today we welcome Michael Prichard, CEO of <a href=\"https://www.skafos.ai/\" rel=\"noopener noreferrer\" target=\"_blank\">Skafos.ai</a>, to tell us about a new way to do product recommendations.</p><p><br></p><p><br></p><p>Deal Closers is hosted by <a href=\"https://www.linkedin.com/in/izachporter/\" rel=\"noopener noreferrer\" target=\"_blank\">Izach Porter</a> and is produced by <a href=\"https://www.earfluence.com/\" rel=\"noopener noreferrer\" target=\"_blank\">Earfluence</a>.</p>","author_name":"Website Closers"}