{"id":22519,"date":"2026-07-16T13:30:20","date_gmt":"2026-07-16T11:30:20","guid":{"rendered":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/"},"modified":"2026-08-24T10:44:04","modified_gmt":"2026-08-24T08:44:04","slug":"churn-prevention","status":"publish","type":"page","link":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/","title":{"rendered":"Customer churn prediction using machine learning"},"content":{"rendered":"<style>.ndb{width:100vw;margin-left:calc(50% - 50vw);background:#eeeeee;padding:22px 24px 14px;font-family:\"Outfit\",\"Roboto\",Arial,sans-serif;color:#1b2635}.ndb *{box-sizing:border-box}.ndb a{text-decoration:none}.ndb-wrap{width:min(100%,960px);margin:0 auto}.ndb-lead{font-size:18px;line-height:1.6;color:#3a4a5a;font-weight:300;margin:0 0 22px}.ndb-lead a{color:#2d799f;font-weight:600}.ndb-highlight{margin:0 0 36px;padding:28px 34px;border-radius:18px;background:linear-gradient(135deg,#56a1c8 0%,#245e80 100%);color:#fff;box-shadow:0 16px 34px rgba(30,83,116,.22)}.ndb-highlight p{margin:0;color:#fff;font-size:20px;line-height:1.5;font-weight:400}.ndb-highlight b{font-weight:800}.ndb-toc{list-style:none;display:flex;flex-wrap:wrap;gap:10px;justify-content:center;margin:0 0 42px;padding:0}.ndb-toc a{padding:10px 18px;background:#f2f2f2;border-radius:22px;color:#12354b!important;font-size:14px;font-weight:600;box-shadow:-6px -6px 12px rgba(255,255,255,.9),6px 6px 12px rgba(30,83,116,.10)}.ndb-toc a:hover{color:#2d799f!important}.ndb-card{margin:0 0 26px;padding:32px 40px;background:#f5f6f7;border-radius:20px;box-shadow:-12px -12px 24px rgba(255,255,255,.9),12px 12px 24px rgba(30,83,116,.10);scroll-margin-top:90px}.ndb-card h2{margin:0 0 20px;padding-bottom:12px;color:#001233;font-size:24px;font-weight:700;position:relative;border-bottom:1px solid #dbe5ec}.ndb-card h2:after{content:\"\";position:absolute;left:0;bottom:-1px;width:62px;height:3px;background:#56a1c8;border-radius:2px}.ndb-card p{margin:0 0 14px;font-size:16.5px;line-height:1.62;color:#33424f}.ndb-card a{color:#2d799f;font-weight:500}.ndb-card ul{margin:0 0 14px;padding-left:22px}.ndb-card li{margin:5px 0;font-size:16px;line-height:1.5;color:#33424f}.ndb-card img:not([src$=\".svg\"]):not([data-src$=\".svg\"]){display:block;width:auto;max-width:min(560px,100%);height:auto;margin:22px auto;border-radius:12px;box-shadow:0 12px 28px rgba(0,18,51,.12)}.ndb-card th img[src$=\".svg\"],.ndb-card th img[data-src$=\".svg\"],.ndb-card img[src$=\".svg\"],.ndb-card img[data-src$=\".svg\"]{display:inline-block;max-width:24px;height:auto;margin:0 6px -4px 0;box-shadow:none}.ndb-card table{border-collapse:separate;border-spacing:0;width:100%;max-width:100%;margin:22px 0;font-size:15px;background:#fbfcfd;border-radius:12px;overflow:hidden;box-shadow:0 10px 24px rgba(0,18,51,.08)}.ndb-card th,.ndb-card td{padding:11px 16px;border-bottom:1px solid #e6ecf0;text-align:left;vertical-align:top}.ndb-card thead th{background:#12354b;color:#fff;font-weight:600;text-align:center}.ndb-card tbody th{background:#e9f1f6;color:#12354b;font-weight:600}.ndb-card td{color:#33424f}.ndb-card table ul{margin:0;padding-left:18px}.ndb-card table li{font-size:14px}.ndb-card pre{margin:22px 0;padding:22px 24px;background:#0b1830!important;color:#e6eef5!important;border-radius:14px;overflow-x:auto;font-family:Consolas,Menlo,monospace;font-size:12.5px;line-height:1.5;white-space:pre}.ndb-card--accent{background:#e9f2f8}@media(max-width:820px){.ndb-card{padding:26px 22px}.ndb-card h2{font-size:21px}.ndb-toc{gap:8px}}@media(max-width:640px){.ndb{padding:12px 14px}}.ndb-card thead th{background:#12354b!important;color:#fff!important}.ndb-card tbody th{background:#e9f1f6!important;color:#12354b!important}.ndb-card td{background:#fbfcfd!important;color:#33424f!important}.ndb-card .mjx-chtml.MJXc-display{overflow-x:auto;overflow-y:hidden;max-width:100%;padding:2px 0 8px}.ndb-card .mjx-chtml.MathJax_CHTML{font-size:18px!important}.ndb-card img,.ndb-lead img{display:block!important;width:auto!important;max-width:min(560px,100%)!important;height:auto!important;margin:22px auto!important;border-radius:12px!important;box-shadow:0 12px 28px rgba(0,18,51,.12)!important}.ndb-card .nd-benefit-icon{margin:0 auto 8px!important;text-align:center!important}.ndb-card .nd-benefit-icon svg{width:56px!important;height:56px!important;color:#2d799f!important}.ndb-card table:has(.nd-benefit-icon),.ndb-card table:has(svg){background:transparent!important;box-shadow:none!important;border-radius:0!important}.ndb-card table:has(.nd-benefit-icon) td,.ndb-card table:has(svg) td{background:transparent!important;border:0!important;text-align:center!important;vertical-align:top!important;padding:16px 20px!important}.ndb-card table:has(svg) th{background:transparent!important;border:0!important}.ndb-card table td svg,.ndb-card p>svg{width:56px!important;height:56px!important;max-width:56px!important;color:#2d799f!important}.ndb-card table h3{color:#001233!important;font-size:18px!important;font-weight:600!important;margin:6px 0 0!important;text-align:center!important}.ndb .ndb-card img{max-width:min(560px,100%)!important;width:auto!important;height:auto!important}.ndb .ndb-card .nd-usecase-icon-source{text-align:center!important;margin:0 auto!important}.ndb .ndb-card .nd-usecase-icon-source img,.ndb .ndb-card .nd-usecase-icon-source svg,.ndb .ndb-card td img[src*=\".svg\"],.ndb .ndb-card td svg{width:60px!important;height:60px!important;max-width:60px!important;margin:0 auto 6px!important;display:inline-block!important;box-shadow:none!important;border-radius:0!important;color:#2d799f!important}body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card img{max-width:min(560px,100%)!important;width:auto!important;height:auto!important;display:block!important;margin:22px auto!important}body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-lead img{max-width:min(540px,100%)!important;width:auto!important;height:auto!important;display:block!important;margin:20px auto!important}body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .nd-usecase-icon-source img,body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card td img[src*=\".svg\"],body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card td svg,body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .nd-benefit-icon svg{width:60px!important;height:60px!important;max-width:60px!important;display:inline-block!important;margin:0 auto 6px!important;color:#2d799f!important;box-shadow:none!important;border-radius:0!important}.ndb-card p:has(>img),.ndb-card figure,.ndb-lead p:has(>img),.ndb-lead figure{max-width:560px!important;margin-left:auto!important;margin-right:auto!important;text-align:center!important}.ndb-card p:has(>.nd-usecase-icon-source),.ndb-card .nd-usecase-icon-source{max-width:none!important}.ndb-card table:has(td h3){background:transparent!important;box-shadow:none!important;border:0!important;width:100%!important;table-layout:fixed!important;margin:14px 0!important}.ndb-card table:has(td h3) td{background:transparent!important;border:0!important;text-align:center!important;vertical-align:top!important;padding:16px 14px!important}.ndb-card table:has(td h3) td p{margin:0 0 12px!important;text-align:center!important;max-width:none!important}.ndb-card table:has(td h3) td p img{display:inline-block!important;width:52px!important;height:52px!important;max-width:52px!important;object-fit:contain!important;margin:0 auto!important;box-shadow:none!important;border-radius:0!important}.ndb-card table:has(td h3) td h3{color:#001233!important;font-size:16px!important;font-weight:600!important;margin:0!important;text-align:center!important;letter-spacing:.03em}body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card table td p img{width:52px!important;height:52px!important;max-width:52px!important;min-width:0!important;object-fit:contain!important;margin:0 auto!important;display:inline-block!important}main#content .ndb-card .nd-usecase-title-icon,main#content .ndb-card h3.nd-usecase-icon-title img{display:none!important}main#content .ndb-card h3.nd-usecase-icon-title{display:block!important}.ndb-card .ndb-subhead{color:#001233!important;font-size:19px!important;font-weight:600!important;margin:26px 0 8px!important;text-align:center!important}.ndb-card table:has(td h3) td p:not(:has(img)){font-size:14px!important;line-height:1.5!important;color:#51606f!important;margin:8px auto 0!important;text-align:center!important;max-width:none!important}<\/style><div class=\"ndb\"><div class=\"ndb-wrap\"><div class=\"ndb-lead\"><p>Machine learning enhances churn prediction accuracy, enabling companies to identify when customers are likely to leave.<\/p>\n<p>By analyzing business data, it becomes possible to understand the reasons behind attrition and take action before it occurs.<\/p>\n<p>With the right insights, organizations can develop effective strategies to retain client loyalty.<\/p>\n<p><a href=\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/\">Neural Designer<\/a>\u00a0supports banks, insurers, telecom companies, and retailers in reducing churn and enhancing customer retention.<\/p>\n<h3>Contents<\/h3>\n<ol>\n<li><a href=\"#Objectives\">Objectives<\/a>.<\/li>\n<li><a href=\"#Benefits\">Benefits<\/a>.<\/li>\n<li><a href=\"#Approach\">Approach<\/a>.<\/li>\n<li><a href=\"#Conclusions\">Conclusions<\/a>.<\/li>\n<\/ol>\n<\/div><ul class=\"ndb-toc\"><li><a href=\"#objectives\">Objectives<\/a><\/li><li><a href=\"#benefits\">Benefits<\/a><\/li><li><a href=\"#approach\">Approach<\/a><\/li><li><a href=\"#conclusions\">Conclusions<\/a><\/li><\/ul><div class=\"ndb-card\" id=\"objectives\"><h2>Objectives<\/h2><p>Churn prevention has become one of the biggest challenges for all companies.<\/p>\n<p>Indeed, it is much cheaper to retain existing clients than acquire new ones.<\/p>\n<p>However, detecting a client&#8217;s dissatisfaction is not easy, and they often stop using our services without any previous warning.<\/p>\n<p>By harnessing the power of big customer data sets, companies can develop predictive models that enable proactive intervention before it&#8217;s too late.<\/p>\n<p><img decoding=\"async\" style=\"width: 489px; max-width: 100%;\" src=\"https:\/\/www.neuraldesigner.com\/images\/activity-diagram-churn-prevention.svg\" height=\"256\" \/><\/p>\n<p>Some of the factors that influence churn are the following:<\/p>\n<ul>\n<li><b>Customer variables<\/b>: Gender, age, education level, job category, marital status, nationality&#8230;<\/li>\n<li><b>Product\/service usage:<\/b> Mobile, web, physical, call center&#8230;<\/li>\n<li><b>Engagement variables<\/b>: Recency, frequency, monetary, time&#8230;<\/li>\n<li><b>Technical incidents<\/b>: Customer service calls,<\/li>\n<li><b>Stationary variables<\/b>: Season, date, time&#8230;<\/li>\n<li><b>Competitor variables<\/b>: Price, quality of services&#8230;<\/li>\n<\/ul>\n<p>The objective is to develop loyalty programs and retention campaigns to keep as many customers as possible.<\/p>\n<p>Developing new methods to identify our dissatisfied clients is essential.<\/p>\n<\/div><div class=\"ndb-card\" id=\"benefits\"><h2>Benefits<\/h2><p>The following are some of the numerous benefits of machine learning for preventing customer churn.<\/p><table><tbody><tr><td style=\"text-align:center;border:none;\"><p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/search.svg\" alt=\"\" width=\"56\" height=\"56\" \/><\/p><h3>IDENTIFY COMPANY PROBLEMS<\/h3><p>Identify the reasons for attrition and fix them.<\/p><\/td><td style=\"text-align:center;border:none;\"><p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/sentiment_very_dissatisfied.svg\" alt=\"\" width=\"56\" height=\"56\" \/><\/p><h3>IMPROVE BRAND REPUTATION<\/h3><p>Prevent unsatisfied customers from damaging your company&#8217;s image.<\/p><\/td><td style=\"text-align:center;border:none;\"><p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/trending_up.svg\" alt=\"\" width=\"56\" height=\"56\" \/><\/p><h3>INCREASE REVENUE<\/h3><p>Reduce revenue loss from customer churn and lower customer acquisition costs.<\/p><\/td><\/tr><\/tbody><\/table><\/div><div class=\"ndb-card\" id=\"approach\"><h2>Approach<\/h2><p>It enables us to identify the most relevant factors for churn and design neural networks that best suit the study&#8217;s case.<\/p>\n<p>The following graph illustrates an example of a neural network for churn prevention.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/churn_nn.webp\" \/><\/p>\n<p>The data science and machine learning platform <a href=\"https:\/\/www.neuraldesigner.com\/downloads\/\">Neural Designer<\/a> guides you through this process, allowing you to focus on your business rather than the details of machine learning.<\/p>\n<\/div><div class=\"ndb-card ndb-card--accent\" id=\"conclusions\"><h2>Conclusions<\/h2><p>Machine learning enables companies to create prediction models for customer churn and take action before it is too late.<\/p>\n<p><a href=\"https:\/\/www.neuraldesigner.com\/\">Neural Designer<\/a>\u00a0leverages artificial intelligence to identify the root causes of dissatisfaction, assess churn risk, and foster loyalty.<\/p>\n<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Machine learning enhances churn prediction accuracy, enabling companies to identify when customers are likely to leave. By analyzing business data, it becomes possible to understand the reasons behind attrition and take action before it occurs. With the right insights, organizations can develop effective strategies to retain client loyalty. Neural Designer\u00a0supports banks, insurers, telecom companies, and [&hellip;]<\/p>\n","protected":false},"author":152,"featured_media":2440,"parent":22498,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-22519","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Customer churn prediction using machine learning - Neural Designer<\/title>\n<meta name=\"description\" content=\"Explore this Neural Designer use case for Customer churn prediction using machine learning, including problem framing, data, evaluation and limitations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Customer churn prediction using machine learning - Neural Designer\" \/>\n<meta property=\"og:description\" content=\"Machine learning enhances churn prediction accuracy, enabling companies to identify when customers are likely to leave. By analyzing business data, it becomes possible to understand the reasons behind attrition and take action before it occurs. With the right insights, organizations can develop effective strategies to retain client loyalty. Neural Designer\u00a0supports banks, insurers, telecom companies, and [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/\" \/>\n<meta property=\"og:site_name\" content=\"Neural Designer\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-24T08:44:04+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"450\" \/>\n\t<meta property=\"og:image:height\" content=\"235\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@NeuralDesigner\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/\",\"url\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/\",\"name\":\"Customer churn prediction using machine learning - Neural Designer\",\"isPartOf\":{\"@id\":\"https:\/\/www.neuraldesigner.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp\",\"datePublished\":\"2026-07-16T11:30:20+00:00\",\"dateModified\":\"2026-08-24T08:44:04+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#primaryimage\",\"url\":\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp\",\"contentUrl\":\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp\",\"width\":450,\"height\":235},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.neuraldesigner.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Neural Designer Use Cases\",\"item\":\"https:\/\/www.neuraldesigner.com\/use-cases\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Customer churn prediction using machine learning\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.neuraldesigner.com\/#website\",\"url\":\"https:\/\/www.neuraldesigner.com\/\",\"name\":\"Neural Designer\",\"description\":\"Explainable AI Platform\",\"publisher\":{\"@id\":\"https:\/\/www.neuraldesigner.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.neuraldesigner.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.neuraldesigner.com\/#organization\",\"name\":\"Neural Designer\",\"url\":\"https:\/\/www.neuraldesigner.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.neuraldesigner.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/05\/logo-neural-1.png\",\"contentUrl\":\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/05\/logo-neural-1.png\",\"width\":1024,\"height\":223,\"caption\":\"Neural Designer\"},\"image\":{\"@id\":\"https:\/\/www.neuraldesigner.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/NeuralDesigner\",\"https:\/\/es.linkedin.com\/showcase\/neuraldesigner\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Customer churn prediction using machine learning - Neural Designer","description":"Explore this Neural Designer use case for Customer churn prediction using machine learning, including problem framing, data, evaluation and limitations.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/","og_locale":"en_US","og_type":"article","og_title":"Customer churn prediction using machine learning - Neural Designer","og_description":"Machine learning enhances churn prediction accuracy, enabling companies to identify when customers are likely to leave. By analyzing business data, it becomes possible to understand the reasons behind attrition and take action before it occurs. With the right insights, organizations can develop effective strategies to retain client loyalty. Neural Designer\u00a0supports banks, insurers, telecom companies, and [&hellip;]","og_url":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/","og_site_name":"Neural Designer","article_modified_time":"2026-08-24T08:44:04+00:00","og_image":[{"width":450,"height":235,"url":"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp","type":"image\/webp"}],"twitter_card":"summary_large_image","twitter_site":"@NeuralDesigner","twitter_misc":{"Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/","url":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/","name":"Customer churn prediction using machine learning - Neural Designer","isPartOf":{"@id":"https:\/\/www.neuraldesigner.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#primaryimage"},"image":{"@id":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#primaryimage"},"thumbnailUrl":"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp","datePublished":"2026-07-16T11:30:20+00:00","dateModified":"2026-08-24T08:44:04+00:00","breadcrumb":{"@id":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#primaryimage","url":"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp","contentUrl":"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/06\/churn-prevention.webp","width":450,"height":235},{"@type":"BreadcrumbList","@id":"https:\/\/www.neuraldesigner.com\/use-cases\/churn-prevention\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.neuraldesigner.com\/"},{"@type":"ListItem","position":2,"name":"Neural Designer Use Cases","item":"https:\/\/www.neuraldesigner.com\/use-cases\/"},{"@type":"ListItem","position":3,"name":"Customer churn prediction using machine learning"}]},{"@type":"WebSite","@id":"https:\/\/www.neuraldesigner.com\/#website","url":"https:\/\/www.neuraldesigner.com\/","name":"Neural Designer","description":"Explainable AI Platform","publisher":{"@id":"https:\/\/www.neuraldesigner.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.neuraldesigner.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.neuraldesigner.com\/#organization","name":"Neural Designer","url":"https:\/\/www.neuraldesigner.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.neuraldesigner.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/05\/logo-neural-1.png","contentUrl":"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2023\/05\/logo-neural-1.png","width":1024,"height":223,"caption":"Neural Designer"},"image":{"@id":"https:\/\/www.neuraldesigner.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/NeuralDesigner","https:\/\/es.linkedin.com\/showcase\/neuraldesigner\/"]}]}},"_links":{"self":[{"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/pages\/22519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/comments?post=22519"}],"version-history":[{"count":2,"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/pages\/22519\/revisions"}],"predecessor-version":[{"id":23374,"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/pages\/22519\/revisions\/23374"}],"up":[{"embeddable":true,"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/pages\/22498"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/media\/2440"}],"wp:attachment":[{"href":"https:\/\/www.neuraldesigner.com\/api\/wp\/v2\/media?parent=22519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}