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What Is a Retail Product Recommendation Engine? | Salesforce US
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An effective product recommendation engine analyzes data and uses the results to create accurate, individualized customer profiles. These profiles help the engine generate the exact kind of content or products a specific customer might be interested in. That’s why you may get frequent follow-up emails from your favorite brands based on recent purchases and site searches.</p>\n","anchor_id":"1"},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721916758662_h23","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline_size":"h2","description":"<p>Product recommendation engines analyze the following types of customer data:</p>\n<ul>\n<li>Browser history</li>\n<li>Current purchasing behavior</li>\n<li>Feedback</li>\n<li>Most-viewed products</li>\n<li>Preferences</li>\n<li>Previous purchases</li>\n<li>Recently viewed items</li>\n<li>Search history</li>\n<li>Shopping carts</li>\n<li>Wish lists</li>\n</ul>\n<p>Based on that data, the technology can surface relevant products the customer might like. It can intelligently anticipate customer intent and include the recommended products in marketing materials, on an app, in site searches, and on ads featured on other web pages.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1736532114946_fpa_526815","name":"sf/promotion","attributes":{"blade_layout":"float_image","audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Grow revenue everywhere with Commerce Cloud.","description":"<p>Scale your business with the most complete commerce platform.</p>\n","image":{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?w=1024","alt":"A video showing various features of Salesforce Commerce Cloud, a complete commerce platform built on the world's most trusted CRM","title":"2024/06/commerce-marquee-image-rc.webp","sizes":[{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=150,150","width":150,"height":150},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=300,200","width":300,"height":200},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=768,512","width":768,"height":512},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=1024,683","width":1024,"height":683},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=1536,1024","width":1536,"height":1024}],"width":1024,"height":683,"image_alignment":"left"},"link_1":{"variant":"primary","label":"See how it works","source":"standard-link","url":"https://www.salesforce.com/commerce/"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1715380369670_b22","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"How do product recommendation engines work?","headline_size":"h2","description":"<p>Product recommendation engines typically rely on sophisticated <a href=\"https://www.britannica.com/science/computer-science/Algorithms-and-complexity\" target=\"_blank\">algorithms</a>. These algorithms take into account massive amounts of customer data, including purchase history, preferences, and search behavior.</p>\n<p>The algorithm enables set processes to automatically generate appropriate recommendations based on the customer data. The system then delivers the best suggestions for each individual. When new information about the customer becomes available, the system incorporates that criteria and offers updated recommendations.</p>\n","anchor_id":"2"},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1717796258154_ehs","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"3 types of product recommendation engines","headline_size":"h2","description":"<p>Product recommendation engines differ based on the specific kind of information they collect and how they use it to determine the products they suggest to a customer. There are three common approaches:</p>\n<ul>\n<li>Collaborative filtering systems</li>\n<li>Content-based filtering systems</li>\n<li>Hybrid recommendation systems</li>\n</ul>\n","anchor_id":"3"},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721918798365_owd","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Collaborative Filtering Systems","headline_size":"h3","description":"<p>A collaborative filtering system analyzes data from multiple customers to predict what products will be of interest to a particular individual. It harnesses the wisdom of the crowd to offer highly effective product recommendations.</p>\n<p>For example, a customer looking at a coffee machine on a lifestyle website may see recommended items purchased by other customers who viewed the same product. They may also see items customers purchased along with the coffee machine, like a milk frother.</p>\n<p>Collaborative filtering is a good option for large brands that have access to large amounts of customer data.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721918897724_148q","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Content-Based Filtering Systems","headline_size":"h3","description":"<p>A content-based filtering system analyzes each individual customer’s preferences and purchasing behavior. The system creates a unique preference profile and offers recommendations based on the customer’s personal tastes. This type of filtering system is usually behind the “Since you bought this, you’ll also like this …” recommendations.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1715297037137_ut1_5268110","name":"sf/promotion","attributes":{"blade_layout":"float_image","audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Stay up to date on all things commerce.","description":"<p>Sign up for our monthly commerce newsletter to get the latest research, industry insights, and product news delivered straight to your inbox.</p>\n","image":{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?w=1024","alt":"Astro wearing a backpack standing in front of a Commerce Cloud newsletter.","title":"2023/05/category-commerce-role-based-newsletter.png","sizes":[{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=150,150","width":150,"height":150},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=300,169","width":300,"height":169},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=768,432","width":768,"height":432},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=1024,577","width":1024,"height":577}],"width":1024,"height":577,"image_alignment":"right","image_background_gradient_color":"251, 243, 224"},"link_1":{"variant":"secondary","label":"Sign up now","source":"standard-link","url":"https://www.salesforce.com/form/other/role-based-newsletter/?d=pb","target":"_blank","ariaLabel":""}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721918922716_17mk","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Hybrid Recommendation Systems","headline_size":"h3","description":"<p>A hybrid recommendation system offers a combination of filtering capabilities, most commonly collaborative and content-based. This means it uses data from groups of similar users as well as from the past preferences of an individual user.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1717796473733_12ue","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"","headline_size":"h2","description":"<p>Hybrid systems usually run these analyses separately and then combine them to offer tailored product recommendations. For example, an ecommerce store might cross-reference data from customers who have bought ring lights with an individual customer who bought a ring light. The filtering system might find that other customers also bought lapel mics and that the individual user searched for microphones in the past. The ecommerce store might then showcase a lapel mic as a recommended product.</p>\n","anchor_id":""},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919095809_15aa","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"How product recommendation engines can benefit your business","headline_size":"h2","description":"<p>The right product recommendation technology gives businesses the power to use client behavior data to optimize their own customer service efforts while also increasing the potential ROI of their marketing efforts.</p>\n","anchor_id":"4","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919153834_vj3","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline_size":"h2","description":"<p>A product recommendation engine can raise awareness of the brand or new products and increase revenue and customer satisfaction in a number of ways. Consider these benefits of using tailored product recommendations:</p>\n<ul>\n<li>Generate higher click-through rates</li>\n<li>Increase average order value</li>\n<li>Boost conversion rates</li>\n<li>Lock in more revenue</li>\n<li>Perfect your customer experiences</li>\n</ul>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919176227_ff1","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Generage Higher Click-Through Rates","headline_size":"h3","description":"<p>It’s easy to see the immediate impact of an intelligent product recommendation engine. Studies have found that the <a href=\"https://www.barilliance.com/personalized-product-recommendations-stats/ \" target=\"_blank\">click-through rate of personalized recommendations </a>is twice the click-through rate of non-personalized recommendations.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919226071_1d58","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Increase Average Order Value","headline_size":"h3","description":"<p>Shoppers who engage with AI-powered product recommendations have a <a href=\"https://www.salesforce.com/form/commerce/conf/the-power-of-personalized-shopping/?d=pb\" target=\"_blank\">26%</a> higher average order value (AOV). Intelligent product recommendations allow for natural, logical opportunities to upsell and cross-sell. Customers demonstrate interest through their behavior and history, and the product recommendation tool automatically offers suggestions. Small transactions become larger ones, and customers who might not have been on the path to make a purchase suddenly find themselves with a full cart.</p>\n<p>One example is “complete the set.” As a shopper views one product, the recommendation engine surfaces complementary products, such as pants and shoes to match a blazer. Seeing the item in the context of the product set can increase the inclination to buy.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919482287_f8p","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Boost Conversion Rates","headline_size":"h3","description":"<p>When shoppers click on product recommendations, the chance they’ll complete the sale nearly <a href=\"https://www.barilliance.com/personalized-product-recommendations-stats/\" target=\"_blank\">quadruples</a>. That likelihood continues to increase the more they engage with the suggested products.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919529129_2xx","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline_size":"h2","description":"<p>Predictive product sort and personalized product recommendations boost conversions because they ensure customers find the products they need and want the most. With the help of AI, brands can automatically tailor search and category pages based on every action a shopper makes. This includes micro-moments on mobile devices.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919567748_19rq","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Lock in More Revenue","headline_size":"h3","description":"<p>Brands can also use product recommendation engines for strategic upsells and to promote slow-moving inventory. With higher conversion rates and more money spent per transaction, revenue increases. A study by Barilliance suggests that <a href=\"https://www.barilliance.com/personalized-product-recommendations-stats/\" target=\"_blank\">up to 31%</a> of ecommerce site revenue is generated from personalized product recommendations.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919590372_z0w","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Perfect for your Customer Experiences","headline_size":"h3","description":"<p>Product recommendations provide customers with highly relevant content suited to their unique needs, interests, and buying habits. Customers feel the benefits from that tailor-made experience. And the more they encounter personalized recommendations, the more they expect to get them every time and every place they shop online. Using product recommendation engines is a competitive advantage against brands that have not yet embraced personalization and AI.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1721919617774_vgt","name":"sf/textmainbody","attributes":{"audience_segment":["customer","prospect"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Boost your business with product recommendation engines","headline_size":"h2","description":"<p>Now that you know what product recommendation engines are, how they work, and the benefits they provide, it’s time to start thinking through how you can take your retail experience to the next level. For example, you can use predictive offers, such as a coupon or notification about a special sale, to anticipate spending habits and create hyper-targeted marketing campaigns.</p>\n","blade_background_type":{"blade_background_color":"255, 255, 255","kind":"standard_background"}},"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1668667220025_8dd_5268122","name":"sf/nup","attributes":{"link_location":"below","audience_segment":["prospect","customer"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","card_type":"sf/resource","card_layout":"Standard","card_description_visibility":false,"card_image":true,"card_eyebrow_visibility":true,"card_link_visibility":true,"headline":"Keep up with the latest commerce trends, insights, and conversations.","description":"","link_1":{"variant":"secondary","label":"See all resources","url":"https://www.salesforce.com/resources/commerce/","ariaLabel":"","source":"standard-link"}},"media_items":[{"content_source_type":"manual-content","image":{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?w=1024","alt":"State of Commerce report","title":"2024/02/soc-resource-card-image-1200x675-1.png","sizes":[{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=150,150","width":150,"height":150},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=300,169","width":300,"height":169},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=768,432","width":768,"height":432},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=1024,576","width":1024,"height":576}],"width":1024,"height":576},"badge":"Research","headline":"Insights from 2,700 commerce leaders and 1.5 billion customers.","link_1":{"label":"Get the report","variant":"text","url":"https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb","ariaLabel":"Get the State of Commerce report","target":"_blank"},"kind":"card_resource","id":"1668667220231_seq"},{"content_source_type":"manual-content","image":{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?w=1024","alt":"AI in Commerce blog","title":"2023/08/ai-blog-resource-card.png","sizes":[{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?resize=150,150","width":150,"height":150},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?resize=300,169","width":300,"height":169},{"src":"https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?resize=768,432","width":768,"height":432}],"width":1024,"height":576},"badge":"Blog","headline":"Generative AI is already improving ecommerce. 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But do you have data intelligence?","link_1":{"label":"Get the guide","variant":"text","url":"https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/","ariaLabel":"Read the The Data Intelligence Guide for Commerce","target":"_self"},"kind":"card_resource","id":"1670625781948_gt3"}],"path":"/commerce/product-recommendation-engine","urlLoc":"us","curHref":"/commerce/product-recommendation-engine/?bc=HA","cdnEnvTag":"stable","pageAttrs":{"livechat":{"enabled":true},"content_type":"page"},"wpTemplate":"resources-template","curLocale":"en-us"},{"id":"1701923542214_103l_5268123","name":"sf/contactus","attributes":{"audience_segment":["prospect","customer"],"minimize_blade_spacing_bottom":true,"minimize_blade_spacing":true,"experiment_type":"content","headline":"Ready to take the next step with the Commerce 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300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-desktop.webp?resize=768,240 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-desktop.webp?resize=1024,320 1024w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-desktop.webp?resize=1536,480 1536w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-desktop.webp?resize=2048,640 2048w" height="100%" width="100%"/> </div> <div class="blade__background blade__background--custom-mobile"> <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?w=731" class="background__image background__image--custom" alt="" sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?resize=214,300 214w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?resize=768,1076 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?resize=731,1024 731w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?resize=1096,1536 1096w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/07/marquee-commerce-product-background-mobile.webp?resize=1462,2048 1462w" height="100%" width="100%"/> </div> </section> </div><div data-blade-id="1715959779275_w7g" data-blade-position="2" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1715959779275_w7g" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1715959779275_w7g" data-module-name="" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> </header> <div class="blade__description"> <p>Whether you realize it or not, you have experienced the power of product recommendation engines. This is the<a href="https://www.salesforce.com/commerce/" target="_self"> ecommerce technology</a> at work when you are shopping online and the site shows you other items “you might also like.” Or when you go on social media and see ads from the brand showcasing similar or complementary products. Or when you get an <a href="https://www.salesforce.com/marketing/email/ " target="_self">email </a>or text from the brand suggesting relevant items and encouraging you to buy them, perhaps with a personalized promotion code. These are examples of product recommendation engines in action.</p> <p>Product recommendation engines analyze data about shoppers to learn exactly what types of products and offerings interest them. Based on search behavior and product preferences, they serve up contextually relevant offers and product options that appeal to individual shoppers — and help drive sales.</p> <p>Let’s look at how product recommendation engines work and why they’re a helpful tool for both shoppers and retailers.</p> </div> </article> </div> </section> </div><div data-blade-id="1715362959004_a97_526811" data-blade-position="3" data-blade-name="sf/promotion" data-blade-variant="promotion" data-blade-source="www" data-blade-type="blade"> <section id="1715362959004_a97_526811" class="relative promotion--blade promotion--left-image" > <div class="container pb-shadow pb-large-corner container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main promotion_layout--float_image theme--light_gradient" data-module-id="1715362959004_a97_526811" data-module-name="Explore data and get insights from 2,700 commerce leaders." data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <div class="image__wrapper mobile-pt-0 pb-64 pt-64 mobile-pb-40 mobile-ml-32 mobile-mr-32 promotion_layout--float_image-image_wrapper " > <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/05/SoC-Resource-Card-Image_1200x675_488546.png?w=1024" class="image__asset" alt="Illustrated cover of the Salesforce State of Commerce report, contains a person with brown hair holding a tablet device." sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/05/SoC-Resource-Card-Image_1200x675_488546.png?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/05/SoC-Resource-Card-Image_1200x675_488546.png?resize=300,169 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/05/SoC-Resource-Card-Image_1200x675_488546.png?resize=768,432 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/05/SoC-Resource-Card-Image_1200x675_488546.png?resize=1024,576 1024w" height="576" width="1024"/> </div> <div class="content__wrapper pt-64 mobile-pb-8 mobile-pt-40 mobile-ml-32 mobile-mr-32 pb-64 promotion_layout---image-content_wrapper"> <header class="promotion__blade-heading"> <h2 class="pbc-g-text-display-4 mt-0 mb-24 mobile-mb-16" style=" "> Explore data and get insights from 2,700 commerce leaders. </h2> <div class="blade__description pbc-g-text-body-1-2 mb-48 mobile-mb-32"> <p>AI. Productivity. New priorities and solutions. See what leaders are prioritizing.</p> </div> </header> <div class="cta_container flex flex--float_image ctas__1"> <pbc-button class="cta_button__wrapper" data-link-text="Read the State of Commerce report" data-link-url="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="primary" data-stacking="default" aria-label="Read the State of Commerce report: Explore data and get insights from 2,700 commerce leaders." href="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" target="_blank" rel="noopener" > Read the State of Commerce report </a> </pbc-button> </div> </div> </article> </div> </section> </div><div data-blade-id="1715617265356_ehk" data-blade-position="4" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1715617265356_ehk" data-module-name="What is a product recommendation engine?" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h2 class="headline text__headline--large" style=" "> What is a product recommendation engine? </h2> </header> <div class="blade__description"> <p>A product recommendation engine is a technology that uses machine learning and <a href="https://www.salesforce.com/artificial-intelligence/what-is-ai/ " target="_self">artificial intelligence (AI)</a> to generate product suggestions and predictive offers, such as special deals and discounts, tailored to each customer. An effective product recommendation engine analyzes data and uses the results to create accurate, individualized customer profiles. These profiles help the engine generate the exact kind of content or products a specific customer might be interested in. That’s why you may get frequent follow-up emails from your favorite brands based on recent purchases and site searches.</p> </div> </article> </div> </section> </div><div data-blade-id="1721916758662_h23" data-blade-position="5" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721916758662_h23" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721916758662_h23" data-module-name="" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> </header> <div class="blade__description"> <p>Product recommendation engines analyze the following types of customer data:</p> <ul> <li>Browser history</li> <li>Current purchasing behavior</li> <li>Feedback</li> <li>Most-viewed products</li> <li>Preferences</li> <li>Previous purchases</li> <li>Recently viewed items</li> <li>Search history</li> <li>Shopping carts</li> <li>Wish lists</li> </ul> <p>Based on that data, the technology can surface relevant products the customer might like. It can intelligently anticipate customer intent and include the recommended products in marketing materials, on an app, in site searches, and on ads featured on other web pages.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1736532114946_fpa_526815" data-blade-position="6" data-blade-name="sf/promotion" data-blade-variant="promotion" data-blade-source="www" data-blade-type="blade"> <section id="1736532114946_fpa_526815" class="relative promotion--blade promotion--left-image" > <div class="container pb-shadow pb-large-corner container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main promotion_layout--float_image theme--light_gradient" data-module-id="1736532114946_fpa_526815" data-module-name="Grow revenue everywhere with Commerce Cloud." data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <div class="image__wrapper mobile-pt-0 pb-64 pt-64 mobile-pb-40 mobile-ml-32 mobile-mr-32 promotion_layout--float_image-image_wrapper " > <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?w=1024" class="image__asset" alt="A video showing various features of Salesforce Commerce Cloud, a complete commerce platform built on the world's most trusted CRM" sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=300,200 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=768,512 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=1024,683 1024w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/commerce-marquee-image-rc.webp?resize=1536,1024 1536w" height="683" width="1024"/> </div> <div class="content__wrapper pt-64 mobile-pb-8 mobile-pt-40 mobile-ml-32 mobile-mr-32 pb-64 promotion_layout---image-content_wrapper"> <header class="promotion__blade-heading"> <h2 class="pbc-g-text-display-4 mt-0 mb-24 mobile-mb-16" style=" "> Grow revenue everywhere with Commerce Cloud. </h2> <div class="blade__description pbc-g-text-body-1-2 mb-48 mobile-mb-32"> <p>Scale your business with the most complete commerce platform.</p> </div> </header> <div class="cta_container flex flex--float_image ctas__1"> <pbc-button class="cta_button__wrapper" data-link-text="See how it works" data-link-url="https://www.salesforce.com/commerce/" data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="primary" data-stacking="default" aria-label="See how it works: Grow revenue everywhere with Commerce Cloud." href="https://www.salesforce.com/commerce/" > See how it works </a> </pbc-button> </div> </div> </article> </div> </section> </div><div data-blade-id="1715380369670_b22" data-blade-position="7" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="2" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1715380369670_b22" data-module-name="How do product recommendation engines work?" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h2 class="headline text__headline--large" style=" "> How do product recommendation engines work? </h2> </header> <div class="blade__description"> <p>Product recommendation engines typically rely on sophisticated <a href="https://www.britannica.com/science/computer-science/Algorithms-and-complexity" target="_blank" class="link__new-tab">algorithms<img class="link__new-tab-icon" alt="Opens in a new window"></a>. These algorithms take into account massive amounts of customer data, including purchase history, preferences, and search behavior.</p> <p>The algorithm enables set processes to automatically generate appropriate recommendations based on the customer data. The system then delivers the best suggestions for each individual. When new information about the customer becomes available, the system incorporates that criteria and offers updated recommendations.</p> </div> </article> </div> </section> </div><div data-blade-id="1717796258154_ehs" data-blade-position="8" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="3" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1717796258154_ehs" data-module-name="3 types of product recommendation engines" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h2 class="headline text__headline--large" style=" "> 3 types of product recommendation engines </h2> </header> <div class="blade__description"> <p>Product recommendation engines differ based on the specific kind of information they collect and how they use it to determine the products they suggest to a customer. There are three common approaches:</p> <ul> <li>Collaborative filtering systems</li> <li>Content-based filtering systems</li> <li>Hybrid recommendation systems</li> </ul> </div> </article> </div> </section> </div><div data-blade-id="1721918798365_owd" data-blade-position="9" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721918798365_owd" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721918798365_owd" data-module-name="Collaborative Filtering Systems" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Collaborative Filtering Systems </h3> </header> <div class="blade__description"> <p>A collaborative filtering system analyzes data from multiple customers to predict what products will be of interest to a particular individual. It harnesses the wisdom of the crowd to offer highly effective product recommendations.</p> <p>For example, a customer looking at a coffee machine on a lifestyle website may see recommended items purchased by other customers who viewed the same product. They may also see items customers purchased along with the coffee machine, like a milk frother.</p> <p>Collaborative filtering is a good option for large brands that have access to large amounts of customer data.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721918897724_148q" data-blade-position="10" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721918897724_148q" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721918897724_148q" data-module-name="Content-Based Filtering Systems" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Content-Based Filtering Systems </h3> </header> <div class="blade__description"> <p>A content-based filtering system analyzes each individual customer’s preferences and purchasing behavior. The system creates a unique preference profile and offers recommendations based on the customer’s personal tastes. This type of filtering system is usually behind the “Since you bought this, you’ll also like this …” recommendations.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1715297037137_ut1_5268110" data-blade-position="11" data-blade-name="sf/promotion" data-blade-variant="promotion" data-blade-source="www" data-blade-type="blade"> <section id="1715297037137_ut1_5268110" class="relative promotion--blade promotion--right-image" > <div class="container pb-shadow pb-large-corner container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main promotion_layout--float_image theme--light_gradient" data-module-id="1715297037137_ut1_5268110" data-module-name="Stay up to date on all things commerce." data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <div class="image__wrapper mobile-pt-0 pb-64 pt-64 mobile-pb-40 mobile-ml-32 mobile-mr-32 promotion_layout--float_image-image_wrapper " > <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?w=1024" class="image__asset" alt="Astro wearing a backpack standing in front of a Commerce Cloud newsletter." sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=300,169 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=768,432 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/category-commerce-role-based-newsletter.png?resize=1024,577 1024w" height="577" width="1024"/> </div> <div class="content__wrapper pt-64 mobile-pb-8 mobile-pt-40 mobile-ml-32 mobile-mr-32 pb-64 promotion_layout---image-content_wrapper"> <header class="promotion__blade-heading"> <h2 class="pbc-g-text-display-4 mt-0 mb-24 mobile-mb-16" style=" "> Stay up to date on all things commerce. </h2> <div class="blade__description pbc-g-text-body-1-2 mb-48 mobile-mb-32"> <p>Sign up for our monthly commerce newsletter to get the latest research, industry insights, and product news delivered straight to your inbox.</p> </div> </header> <div class="cta_container flex flex--float_image ctas__1"> <pbc-button class="cta_button__wrapper" data-link-text="Sign up now" data-link-url="https://www.salesforce.com/form/other/role-based-newsletter/?d=pb" data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="secondary" data-stacking="default" aria-label="Sign up now: Stay up to date on all things commerce." href="https://www.salesforce.com/form/other/role-based-newsletter/?d=pb" target="_blank" rel="noopener" > Sign up now </a> </pbc-button> </div> </div> </article> </div> </section> </div><div data-blade-id="1721918922716_17mk" data-blade-position="12" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721918922716_17mk" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721918922716_17mk" data-module-name="Hybrid Recommendation Systems" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Hybrid Recommendation Systems </h3> </header> <div class="blade__description"> <p>A hybrid recommendation system offers a combination of filtering capabilities, most commonly collaborative and content-based. This means it uses data from groups of similar users as well as from the past preferences of an individual user.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1717796473733_12ue" data-blade-position="13" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1717796473733_12ue" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1717796473733_12ue" data-module-name="" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> </header> <div class="blade__description"> <p>Hybrid systems usually run these analyses separately and then combine them to offer tailored product recommendations. For example, an ecommerce store might cross-reference data from customers who have bought ring lights with an individual customer who bought a ring light. The filtering system might find that other customers also bought lapel mics and that the individual user searched for microphones in the past. The ecommerce store might then showcase a lapel mic as a recommended product.</p> </div> </article> </div> </section> </div><div data-blade-id="1721919095809_15aa" data-blade-position="14" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="4" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919095809_15aa" data-module-name="How product recommendation engines can benefit your business" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h2 class="headline text__headline--large" style=" "> How product recommendation engines can benefit your business </h2> </header> <div class="blade__description"> <p>The right product recommendation technology gives businesses the power to use client behavior data to optimize their own customer service efforts while also increasing the potential ROI of their marketing efforts.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919153834_vj3" data-blade-position="15" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919153834_vj3" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919153834_vj3" data-module-name="" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> </header> <div class="blade__description"> <p>A product recommendation engine can raise awareness of the brand or new products and increase revenue and customer satisfaction in a number of ways. Consider these benefits of using tailored product recommendations:</p> <ul> <li>Generate higher click-through rates</li> <li>Increase average order value</li> <li>Boost conversion rates</li> <li>Lock in more revenue</li> <li>Perfect your customer experiences</li> </ul> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919176227_ff1" data-blade-position="16" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919176227_ff1" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919176227_ff1" data-module-name="Generage Higher Click-Through Rates" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Generage Higher Click-Through Rates </h3> </header> <div class="blade__description"> <p>It’s easy to see the immediate impact of an intelligent product recommendation engine. Studies have found that the <a href="https://www.barilliance.com/personalized-product-recommendations-stats/ " target="_blank" class="link__new-tab">click-through rate of personalized recommendations <img class="link__new-tab-icon" alt="Opens in a new window"></a>is twice the click-through rate of non-personalized recommendations.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919226071_1d58" data-blade-position="17" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919226071_1d58" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919226071_1d58" data-module-name="Increase Average Order Value" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Increase Average Order Value </h3> </header> <div class="blade__description"> <p>Shoppers who engage with AI-powered product recommendations have a <a href="https://www.salesforce.com/form/commerce/conf/the-power-of-personalized-shopping/?d=pb" target="_blank">26%</a> higher average order value (AOV). Intelligent product recommendations allow for natural, logical opportunities to upsell and cross-sell. Customers demonstrate interest through their behavior and history, and the product recommendation tool automatically offers suggestions. Small transactions become larger ones, and customers who might not have been on the path to make a purchase suddenly find themselves with a full cart.</p> <p>One example is “complete the set.” As a shopper views one product, the recommendation engine surfaces complementary products, such as pants and shoes to match a blazer. Seeing the item in the context of the product set can increase the inclination to buy.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919482287_f8p" data-blade-position="18" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919482287_f8p" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919482287_f8p" data-module-name="Boost Conversion Rates" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Boost Conversion Rates </h3> </header> <div class="blade__description"> <p>When shoppers click on product recommendations, the chance they’ll complete the sale nearly <a href="https://www.barilliance.com/personalized-product-recommendations-stats/" target="_blank" class="link__new-tab">quadruples<img class="link__new-tab-icon" alt="Opens in a new window"></a>. That likelihood continues to increase the more they engage with the suggested products.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919529129_2xx" data-blade-position="19" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919529129_2xx" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919529129_2xx" data-module-name="" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> </header> <div class="blade__description"> <p>Predictive product sort and personalized product recommendations boost conversions because they ensure customers find the products they need and want the most. With the help of AI, brands can automatically tailor search and category pages based on every action a shopper makes. This includes micro-moments on mobile devices.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919567748_19rq" data-blade-position="20" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919567748_19rq" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919567748_19rq" data-module-name="Lock in More Revenue" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Lock in More Revenue </h3> </header> <div class="blade__description"> <p>Brands can also use product recommendation engines for strategic upsells and to promote slow-moving inventory. With higher conversion rates and more money spent per transaction, revenue increases. A study by Barilliance suggests that <a href="https://www.barilliance.com/personalized-product-recommendations-stats/" target="_blank" class="link__new-tab">up to 31%<img class="link__new-tab-icon" alt="Opens in a new window"></a> of ecommerce site revenue is generated from personalized product recommendations.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919590372_z0w" data-blade-position="21" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919590372_z0w" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919590372_z0w" data-module-name="Perfect for your Customer Experiences" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h3 class="headline text__headline--medium" style=" "> Perfect for your Customer Experiences </h3> </header> <div class="blade__description"> <p>Product recommendations provide customers with highly relevant content suited to their unique needs, interests, and buying habits. Customers feel the benefits from that tailor-made experience. And the more they encounter personalized recommendations, the more they expect to get them every time and every place they shop online. Using product recommendation engines is a competitive advantage against brands that have not yet embraced personalization and AI.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1721919617774_vgt" data-blade-position="22" data-blade-name="sf/textmainbody" data-blade-variant="textmainbody" data-blade-source="www" data-blade-type="blade"> <section id="1721919617774_vgt" class="relative textmainbody--blade" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <article class="grid grid_main text--left theme--light_gradient" data-module-id="1721919617774_vgt" data-module-name="Boost your business with product recommendation engines" data-module-position="1" data-module-type="headline" data-module-track-impressions=""> <header class="textmainbody__blade-heading grid grid_sub"> <h2 class="headline text__headline--large" style=" "> Boost your business with product recommendation engines </h2> </header> <div class="blade__description"> <p>Now that you know what product recommendation engines are, how they work, and the benefits they provide, it’s time to start thinking through how you can take your retail experience to the next level. For example, you can use predictive offers, such as a coupon or notification about a special sale, to anticipate spending habits and create hyper-targeted marketing campaigns.</p> </div> </article> </div> <div class="background__gradient" style="background-image: linear-gradient(180deg, #FFFFFF 0%, rgb(255, 255, 255) 100%);"></div> </section> </div><div data-blade-id="1668667220025_8dd_5268122" data-blade-position="23" data-blade-name="sf/nup" data-blade-variant="nup" data-blade-source="www" data-blade-type="blade"> <section id="1668667220025_8dd_5268122" class="relative nup--blade nup--link_below layout--4 nup--card_resource" > <div class="container container--min-spacing-bottom container--min-spacing-top"> <div class="grid grid_main nup nup__4 nup__gridFour theme--light_gradient"> <header class="nup__blade-heading text--center"> <h2 class="headline" style=" "> Keep up with the latest commerce trends, insights, and conversations. </h2> </header> <div class="cards"> <article class="card card__1 card__wrapper theme--light_gradient" data-module-track-impressions="" data-module-id="1668667220231_seq" data-module-name="Insights from 2,700 commerce leaders and 1.5 billion customers." data-module-position="1" data-module-type="card_resource" > <div class="card--card_resource card--generic_card pbc-g-elevation-2 flex border-rad-16 "> <div class="card__image__wrapper"> <a href="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" tabindex="-1" aria-label="Insights from 2,700 commerce leaders and 1.5 billion customers." data-link-url="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" data-link-type="image" target="_blank"> <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?w=1024" class="card__image" alt="State of Commerce report" sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=300,169 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=768,432 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/02/soc-resource-card-image-1200x675-1.png?resize=1024,576 1024w" height="auto" width="auto"/> </a> </div> <div class="card__content__wrapper"> <div class="card__copy__wrapper"> <span class="badge blue95 pl-12 pr-12">Research</span> <h3 class="card__headline mb-16" style=" "> <a href="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" data-link-text="Insights from 2,700 commerce leaders and 1.5 billion customers." data-link-url="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" data-link-type="header" target="_blank"> Insights from 2,700 commerce leaders and 1.5 billion customers. </a> </h3> </div> <div class="cta_container flex flex--center"> <pbc-button class="cta_button__wrapper" data-link-text="Get the report" data-link-url="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="cardText" data-stacking="wideM" aria-label="Get the State of Commerce report" href="https://www.salesforce.com/form/commerce/state-of-commerce/?d=pb" target="_blank" rel="noopener" > Get the report </a> </pbc-button> </div> </div> </div> </article> <article class="card card__2 card__wrapper theme--light_gradient" data-module-track-impressions="" data-module-id="1668667491762_lzs" data-module-name="Generative AI is already improving ecommerce. Here’s how." data-module-position="2" data-module-type="card_resource" > <div class="card--card_resource card--generic_card pbc-g-elevation-2 flex border-rad-16 "> <div class="card__image__wrapper"> <a href="https://www.salesforce.com/commerce/ai/ecommerce/ " tabindex="-1" aria-label="Generative AI is already improving ecommerce. Here’s how." data-link-url="https://www.salesforce.com/commerce/ai/ecommerce/ " data-link-type="image" target="_self"> <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?w=1024" class="card__image" alt="AI in Commerce blog" sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?resize=300,169 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/08/ai-blog-resource-card.png?resize=768,432 768w" height="auto" width="auto"/> </a> </div> <div class="card__content__wrapper"> <div class="card__copy__wrapper"> <span class="badge blue95 pl-12 pr-12">Blog</span> <h3 class="card__headline mb-16" style=" "> <a href="https://www.salesforce.com/commerce/ai/ecommerce/ " data-link-text="Generative AI is already improving ecommerce. Here’s how." data-link-url="https://www.salesforce.com/commerce/ai/ecommerce/ " data-link-type="header" target="_self"> Generative AI is already improving ecommerce. Here’s how. </a> </h3> </div> <div class="cta_container flex flex--center"> <pbc-button class="cta_button__wrapper" data-link-text="Learn more" data-link-url="https://www.salesforce.com/commerce/ai/ecommerce/ " data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="cardText" data-stacking="wideM" aria-label="Learn more about Generative AI" href="https://www.salesforce.com/commerce/ai/ecommerce/ " target="_self" rel="noopener" > Learn more </a> </pbc-button> </div> </div> </div> </article> <article class="card card__3 card__wrapper theme--light_gradient" data-module-track-impressions="" data-module-id="1668667492859_y68" data-module-name="Discover how B2B sales teams win with digital commerce." data-module-position="3" data-module-type="card_resource" > <div class="card--card_resource card--generic_card pbc-g-elevation-2 flex border-rad-16 "> <div class="card__image__wrapper"> <a href="https://www.salesforce.com/resources/articles/b2b-sales-wins-with-digital-commerce-form/" tabindex="-1" aria-label="Discover how B2B sales teams win with digital commerce." data-link-url="https://www.salesforce.com/resources/articles/b2b-sales-wins-with-digital-commerce-form/" data-link-type="image" target="_self"> <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/how-b2b-sales-teams-win.png?w=1024" class="card__image" alt="How B2B Sales Teams Win with Digital Commerce article" sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/how-b2b-sales-teams-win.png?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/how-b2b-sales-teams-win.png?resize=300,169 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2023/05/how-b2b-sales-teams-win.png?resize=768,432 768w" height="auto" width="auto"/> </a> </div> <div class="card__content__wrapper"> <div class="card__copy__wrapper"> <span class="badge blue95 pl-12 pr-12">Article</span> <h3 class="card__headline mb-16" style=" "> <a href="https://www.salesforce.com/resources/articles/b2b-sales-wins-with-digital-commerce-form/" data-link-text="Discover how B2B sales teams win with digital commerce." data-link-url="https://www.salesforce.com/resources/articles/b2b-sales-wins-with-digital-commerce-form/" data-link-type="header" target="_self"> Discover how B2B sales teams win with digital commerce. </a> </h3> </div> <div class="cta_container flex flex--center"> <pbc-button class="cta_button__wrapper" data-link-text="Read the article" data-link-url="https://www.salesforce.com/resources/articles/b2b-sales-wins-with-digital-commerce-form/" data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="cardText" data-stacking="wideM" aria-label="Read the How B2B Sales Teams Win with Digital Commerce article" href="https://www.salesforce.com/resources/articles/b2b-sales-wins-with-digital-commerce-form/" target="_self" rel="noopener" > Read the article </a> </pbc-button> </div> </div> </div> </article> <article class="card card__4 card__wrapper theme--light_gradient" data-module-track-impressions="" data-module-id="1670625781948_gt3" data-module-name="You have data. But do you have data intelligence?" data-module-position="4" data-module-type="card_resource" > <div class="card--card_resource card--generic_card pbc-g-elevation-2 flex border-rad-16 "> <div class="card__image__wrapper"> <a href="https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/" tabindex="-1" aria-label="You have data. But do you have data intelligence?" data-link-url="https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/" data-link-type="image" target="_self"> <img loading="lazy" src="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/data-intelligence-og.png?w=1024" class="card__image" alt="Data Intelligence Guide for Commerce" sizes="100vw" srcset="https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/data-intelligence-og.png?resize=150,150 150w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/data-intelligence-og.png?resize=300,169 300w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/data-intelligence-og.png?resize=768,432 768w,https://wp.sfdcdigital.com/en-us/wp-content/uploads/sites/4/2024/06/data-intelligence-og.png?resize=1024,576 1024w" height="auto" width="auto"/> </a> </div> <div class="card__content__wrapper"> <div class="card__copy__wrapper"> <span class="badge blue95 pl-12 pr-12">Guide</span> <h3 class="card__headline mb-16" style=" "> <a href="https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/" data-link-text="You have data. But do you have data intelligence?" data-link-url="https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/" data-link-type="header" target="_self"> You have data. But do you have data intelligence? </a> </h3> </div> <div class="cta_container flex flex--center"> <pbc-button class="cta_button__wrapper" data-link-text="Get the guide" data-link-url="https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/" data-link-type="primary cta" > <a class="cta_button" data-size="" data-variant="cardText" data-stacking="wideM" aria-label="Read the The Data Intelligence Guide for Commerce" href="https://www.salesforce.com/resources/guides/data-intelligence-commerce-form/" target="_self" rel="noopener" > Get the guide </a> </pbc-button> </div> </div> </div> </article> </div> <div class="nup_cta" data-module-name="Keep up with the latest commerce trends, insights, and conversations." data-module-position="5" data-module-id="0" data-module-type="cta"> <div class="cta_container flex flex--center ctas__1"> <pbc-button class="cta_button__wrapper" data-link-text="See all resources" data-link-url="https://www.salesforce.com/resources/commerce/" 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Cloud? </h2> </header> <div class="cards"> <article class="card card__1 card__wrapper theme--light_gradient" data-module-id="1717017265666_3dc" data-module-type="card_contactus" data-module-name="Talk to an expert." data-module-position="1" data-module-track-impressions="" > <div class="card--card_contactus pbc-g-elevation-2 flex border-rad-16"> <div class="card__image__wrapper"> <div class="card__icon__wrapper"> <img class="card__brand__image" src="https://wp.salesforce.com/en-us/wp-content/uploads/sites/4/2024/08/call.svg" loading="lazy" aria-hidden="true" aria-label="" /> </div> </div> <div class="card__content__wrapper"> <div class="card__copy__wrapper"> <h3 class="card__headline mt-8 mb-8 mobile-mt-8 mobile-mb-8 pbc-g-text-display-6" style=" "> Talk to an expert. </h3> <div class="card__description pbc-g-text-body-2 mobile-mb-20 mb-32 mt-8"> <p>Tell us a bit more so the right person can reach out faster.</p> </div> </div> <div class="cta_container flex"> <pbc-button 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