The gap between first and second purchase is where most customer relationships die. AutoSegments uses behavioral analytics to automatically flag customers who’ve bought once but haven’t returned. Craft personalized content, exclusive offers, and tailored experiences to reengage these customers and boost long-term loyalty.<\/p>\n\n\n\n
For example, a customer who purchased running shoes three weeks ago but hasn’t browsed since gets targeted with personalized content about complementary products. This precision targeting transforms one-time buyers into loyal repeat customers without manual segment building or guesswork.<\/p>\n","protected":false},"featured_media":72505,"parent":0,"menu_order":0,"template":"","use_cases_channels":[],"use_cases_goals":[1308],"use_cases_products":[1309],"use_cases_industries":[1313,1318,1312,1317],"use_cases_metrics":[1319,1320,1321],"use_cases_tags":[1331],"use_cases_pre_built":[1334],"class_list":["post-72443","use_cases","type-use_cases","status-publish","has-post-thumbnail","hentry","use_cases_goals-analyse-data","use_cases_products-marketing-automation","use_cases_industries-ecommerce","use_cases_industries-gaming","use_cases_industries-retail","use_cases_industries-sports","use_cases_metrics-conversion-rate","use_cases_metrics-revenue","use_cases_metrics-revenue-per-visitor","use_cases_tags-ai","use_cases_pre_built-yes"],"acf":{"subtitle":"Transform One-Time Purchasers Into Repeat Customers Using AI Segmentation","x_position":19,"y_position":506,"gallery_images":"","why_marketers_love_title":"Why Marketers Use Bloomreach for Customer Segmentation","why_marketers_love_content":"Acquiring a customer is expensive \u2014 losing them after one purchase means you're barely breaking even. Marketers choose Bloomreach Engagement's AutoSegments because it eliminates manual segment creation by automatically identifying customers stuck between their first and second purchase.<\/span>\r\n\r\n \r\n\r\nYou don't need to build complex queries or update segments manually \u2014 the AI continuously analyzes customer behavior, comparing revenue per visitor metrics against paid traffic performance to surface exactly who needs reengagement.<\/span>\r\n\r\n \r\n\r\nHMV, the British music and entertainment retailer, experienced a 34% increase in impressions, a 425% increase in landing page views, and a 14% revenue increase after deployment. This commerce-first approach lets you focus on crafting compelling offers while the platform handles the behavioral intelligence, turning acquisition costs into profitable long-term relationships.<\/span>","campaign_variants_title":"Get Inspired: Build AutoSegments for Better Targeting","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":"AutoSegments Campaign","tab_title":"RPV vs. Paid Traffic AutoSegments","tab_icon":"ad-audiences","pre_built":true,"tab_content":"This prebuilt use case leverages Bloomreach Engagement's AutoSegments feature to automatically identify customers who have made one purchase but not a second, using behavioral analytics that compare revenue per visitor against paid traffic performance.<\/span>\r\n\r\nThe system eliminates manual segment building by continuously analyzing customer behavior and surfacing those most valuable to reengage. You can then craft personalized content, exclusive offers, and tailored experiences across all channels to convert these one-time buyers into repeat customers.<\/span>\r\n\r\nSee Documentation<\/a>","quote":"\u201cA client experienced a 34% increase in impressions, a 425% increase in landing page views, and a 14% revenue increase after deploying the Autosegments feature.\u201d","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 Engagement's AutoSegments continuously analyzes your customer database, automatically identifying individuals who have completed one purchase but haven't returned for a second transaction.<\/span>"},{"item":"These one-time buyers are automatically grouped into dynamic segments without requiring manual rules or regular updates \u2014 the segment membership refreshes as customer behavior changes in real time.<\/span>"},{"item":"You create personalized campaigns targeting these segments with exclusive offers, product recommendations based on their first purchase, and tailored messaging designed to drive that critical second transaction.<\/span>"},{"item":"The platform delivers these experiences across channels \u2014 email, SMS, web personalization, and push notifications \u2014 ensuring customers see relevant content wherever they engage with your brand.<\/span>"},{"item":"As customers make their second purchase, they automatically exit the one-time buyer segment and enter repeat customer workflows, creating a seamless progression through your customer lifecycle.<\/span>"},{"item":"Behavioral analytics track which offers, content types, and messaging strategies successfully convert one-time buyers, allowing you to continuously refine your approach based on what actually drives repeat purchases.<\/span>"}],"case_studies_title":"Campaigns Built Using AutoSegments","case_studies_subtitle":"","case_studies_item":53016,"case_studies_content":"HMV used Bloomreach\u2019s AutoSegments to identify and target high-performing customer segments for their social media advertising campaigns. By leveraging real-time data and AI-driven segmentation, the brand was able to more precisely reach the right audiences on social platforms, resulting in significantly more efficient ad spend and better ROAS.<\/span>\r\n\r\n \r\n\r\nIf your business is looking to elevate its social media ad strategy with target audiences that convert, explore how HMV made this transformation using Bloomreach technology.<\/span>","target_audience_title":"Target Audience for AI-driven Segmentation","target_audience_content":"Ecommerce businesses and direct-to-consumer brands with significant customer acquisition costs, particularly:<\/span>\r\n\r\n \t