Customers rarely know every product they need \u2014 but your data does. \u201cFrequently bought together\u201d campaigns use AI to analyze purchasing patterns and surface complementary products at precisely the right moment. For example, a customer buying a camera automatically sees memory cards, cases, and tripods that previous buyers purchased together. This approach feels helpful rather than pushy because recommendations are based on real customer behavior, not guesswork. The result is larger basket sizes, higher revenue per transaction, and customers who feel you’ve made their shopping experience easier.\u00a0\u00a0<\/p>\n\n\n\n
<\/p>\n","protected":false},"featured_media":79597,"parent":0,"menu_order":0,"template":"","use_cases_channels":[1292,1299,1293,1298,1300],"use_cases_goals":[1303],"use_cases_products":[1310,1309],"use_cases_industries":[1313,1312,1314],"use_cases_metrics":[1322,1325,1320],"use_cases_tags":[1330,1332],"use_cases_pre_built":[1334],"class_list":["post-72102","use_cases","type-use_cases","status-publish","has-post-thumbnail","hentry","use_cases_channels-email","use_cases_channels-search","use_cases_channels-sms-rcs","use_cases_channels-weblayers","use_cases_channels-website","use_cases_goals-acquire-customers","use_cases_products-autonomous-search","use_cases_products-marketing-automation","use_cases_industries-ecommerce","use_cases_industries-retail","use_cases_industries-travel-transporation","use_cases_metrics-average-order-value","use_cases_metrics-purchase-frequency","use_cases_metrics-revenue","use_cases_tags-email","use_cases_tags-omnichannel","use_cases_pre_built-yes"],"acf":{"subtitle":"Increase AOV by Recommending Products Customers Actually Buy Together","x_position":18,"y_position":296,"gallery_images":[79599,40809,31479,30045],"why_marketers_love_title":"Why Marketers Use Bloomreach for Product Suggestions","why_marketers_love_content":"Every transaction without a cross-sell represents missed revenue \u2014 customers who would have bought more if they'd simply seen the right suggestion. Marketers choose Bloomreach because its AI analyzes millions of transaction combinations to identify which products genuinely complement each other, then delivers these recommendations across every touchpoint.\u00a0\u00a0<\/span>\r\n\r\n \r\n\r\nWhether through on-site banners, email campaigns sent at optimal times, or search results that highlight product bundles, you're showing customers exactly what they need without manual curation. Loomi AI calculates the best send time based on past engagement data, recommending products frequently bought together.\u00a0\u00a0<\/span>\r\n\r\n \r\n\r\nThis commerce-first intelligence increases average order value while improving customer satisfaction \u2014 shoppers appreciate discovering everything they need in one session rather than realizing later they're missing key items.<\/span>","campaign_variants_title":"Get Inspired: Run Campaigns With Smart Recommendations","campaign_variants_bottom_media":false,"media_section_media_type":"self_hosted","media_section_self_hosted_media":null,"media_section_vidyard_uuid":"","campaign_variants":[{"tab_label":"Email","tab_title":"Post-Purchase Emails With Recommendations","tab_icon":"email","pre_built":true,"tab_content":"This use case consists of a set of personalized communications to your customers a few weeks after their original purchase. These will include recommended complementary products based on criteria such as \u201ccustomers who bought this item also bought\u201d and \"popular right now.\u201d It's more cost-efficient to retain your existing customers versus aquiring new ones. Reach out to your customers with personalized, relevant, and engaging post-purchase content. Reap the benefits of using a bottom-funnel marketing tactic to incentivize repeat purchase rates.\r\n\r\n \r\n\r\nSee Documentation<\/a>","quote":"","quote_name":"","quote_position":"","media_type":"self_hosted","self_hosted_media":"","vidyard_uuid":"P96mS1AjCq9hhu4xZ8HaVW"},{"tab_label":"Banner in Cart","tab_title":"Cart Update Banner With Recommendations","tab_icon":"weblayers","pre_built":true,"tab_content":"Deploy immediately after cart updates to showcase AI-powered product recommendations based on customer segments and purchase patterns. Choose from multiple recommendation models such as \"More products like this\" or \"Frequently Bought Together\".<\/span>\r\n\r\nThis banner capitalizes on high-intent moments when customers have already committed to buying, making them more receptive to complementary product suggestions. The recommendation engine analyzes similar customer behavior to surface the most relevant cross-sell opportunities, increasing average order value through strategic product placement.<\/span>\r\n\r\nSee Documentation<\/a>","quote":"\u201cMarketers use banner ads because they promote brand awareness. They\u2019re also great lead generators. Banner advertising is attractive because it can help create brand awareness, generate leads, and retarget an audience.\u201d","quote_name":"","quote_position":"","media_type":"vidyard","self_hosted_media":"","vidyard_uuid":"P96mS1AjCq9hhu4xZ8HaVW"},{"tab_label":"Search and Browse","tab_title":"Highlight Items That Are Frequently Bought Together During Product Discovery","tab_icon":"search","pre_built":false,"tab_content":"Help customers find everything they need by highlighting related products that are frequently bought together during their search and browsing experience.\u00a0\u00a0<\/span>\r\n\r\n \r\n\r\nFor example, if a customer searches for a light switch, the system automatically surfaces light boxes and other essential complementary items, eliminating the need to return to search multiple times.\u00a0\u00a0<\/span>\r\n\r\n \r\n\r\nThis streamlines the shopping journey by anticipating what customers need before they realize it themselves. The value is clear \u2014 by making it easier for customers to discover and add complementary products without extra effort, you increase revenue through higher average cart order sizes while improving customer satisfaction.<\/span>","quote":"","quote_name":"","quote_position":"","media_type":"self_hosted","self_hosted_media":"","vidyard_uuid":""},{"tab_label":"Multi-Channel Campaign ","tab_title":"Use AI To Automatically Send Campaigns to Customers at the Right Time","tab_icon":"omnichannel","pre_built":false,"tab_content":"Loomi AI calculates optimal send times across email and SMS channels based on past engagement data, then personalizes messages with products frequently bought together.\u00a0\u00a0<\/span>\r\n\r\n \r\n\r\nFor example: If a customer usually checks their email at 6 a.m., then they\u2019ll receive campaigns at that time. If they recently purchased a couch, they\u2019ll get relevant blanket recommendations based on purchase patterns. This dual optimization boosts both engagement and conversion rates across all marketing channels.<\/span>","quote":"","quote_name":"","quote_position":"","media_type":"self_hosted","self_hosted_media":"","vidyard_uuid":""}],"how_it_works_title":"How It Works","how_it_works":[{"item":"Bloomreach\u2019s AI continuously analyzes transaction data across your entire catalog, identifying which products customers frequently purchase together based on real buying behavior rather than simple category matching.<\/span>"},{"item":"During site search and product browsing, AI-driven recommendations highlight related items customers need to complete their purchase, such as showing light boxes when someone searches for light switches, to eliminate extra search steps.<\/span>"},{"item":"When a customer adds an item to their cart, Bloomreach instantly displays a banner showcasing complementary products that similar customers bought alongside that specific item, capturing them at the moment they're most ready to add more.<\/span>"},{"item":"For email and SMS campaigns, Loomi AI analyzes each customer's engagement patterns to determine their optimal send time, then personalizes the message with frequently-bought-together recommendations based on their recent purchases or browsing behavior.<\/span>"},{"item":"Post-purchase emails automatically include product suggestions that complement what customers just bought, encouraging immediate follow-up orders with messaging like \"Complete your look\" or \"These items pair perfectly with your recent purchase.\"<\/span>"},{"item":"The recommendation engine prioritizes the most relevant products from your catalog, keeping suggestions focused and actionable rather than overwhelming customers with too many options.<\/span>"},{"item":"As customers respond to different cross-sell strategies, the AI learns which product combinations and presentation methods drive the highest conversion rates, continuously optimizing recommendations for maximum impact.<\/span>"}],"case_studies_title":"","case_studies_subtitle":"","case_studies_item":"","case_studies_content":"","target_audience_title":"Target Audience for AI-driven Recommendations","target_audience_content":"Retailers and ecommerce brands across all categories, particularly valuable for:<\/span>\r\n\r\n \r\n\r\n- Fashion and apparel\u00a0\u00a0<\/span>\r\n\r\n- Home goods and furniture\u00a0\u00a0<\/span>\r\n\r\n- Electronics and accessories\u00a0\u00a0<\/span>\r\n\r\n- Beauty and cosmetics\u00a0\u00a0<\/span>\r\n\r\n- Sports equipment\u00a0\u00a0<\/span>\r\n\r\n \r\n\r\nMost effective for businesses with diverse product catalogs where complementary purchases naturally occur and where increasing basket size directly impacts 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