It’s never been more important for marketers to deliver experiences that resonate with each customer on an individual level. Affinity profiling, a mainstay in the modern personalization toolkit, is a powerful way to achieve 1:1 relevance, but as customer expectations rise, so too does the need for an even more powerful solution.
The industry standard for calculating customer affinity today, in essence, relies on the assumption that what a customer has demonstrated liking in the past, they will continue to like in the future. But what if the affinity profile could do more, to truly predict a customer’s future preferences and interests? What if it could adjust for one-time purchases, identify complementary products a customer might be interested in, and even account for the cadences of repeat purchases? All of this and more is now possible with AffinityML, a neural network algorithm that predicts affinity with unrivaled accuracy and takes understanding your customers to a whole new level.
Affinity profiling today
Affinity profiles represent personal connections forged between people and a particular topic, brand, product, service or attribute. These could be affinities to specific brands or types of content, or even more granular, from sizes and colors to dietary preferences, loan types and more.
These profiles capture an intricate view of user preferences and interests according to their online behavior. But how is affinity calculated?
Traditional affinity profile models add a score to a user based on the metadata connected to a product they’ve interacted with. This score is calculated by capturing every engagement a user has with a given digital property and then collecting all of the product attribute values associated with the interaction. Every interaction a customer has with a product will update the score of each attribute value according to the type of interaction as well as when it occurred. For the data to become meaningful, a correlation between the user interaction and the attribute value is then determined. Traditionally, this is done by assigning a weight to each engagement based on its assumed level of intent and then summing up the total number of engagements per each value. The higher the level of intent, the greater the weight given to the interaction. These scores can be used to create an affinity profile, allowing marketers to rank product attributes like color, brand, category, and so forth based on the customer’s activity.
A cornerstone of our personalization philosophy, affinity profiles play an important role in developing audiences, establishing targeting conditions, and serving relevant product and content recommendations. Through this adoption of affinity profiling, we’ve witnessed remarkable results from our affinity-based personalization, opening up an entirely new world of potential for brands to capitalize on what they know about their customers and inspiring us to dive deeper into the intricacies of user behavior.
Next-engagement prediction with affinity, powered by deep learning
Dynamic Yield’s AffinityML, part of the AdaptML system, enables marketers to understand their customers better than ever before with a neural network algorithm that identifies future-purchase intent. Traditional models make assumptions about user interests based on past interactions. AffinityML, on the other hand, is a self-learning algorithm that can predict changing customer preferences, even before the customers themselves know it. This predictive capability enables marketers to anticipate and respond to evolving intent, ensuring that personalized affinity-based recommendations are served to all customers.
Here’s a breakdown of how AffinityML empowers you to harness the power of AI to understand your customers more deeply:
1. Automate decisions with a self-learning algorithm: This neural network algorithm is trained on both the behavior of each individual user and the site activity of all users, enabling it to understand user behavior on both micro and macro levels to deliver precise, predictive, and relevant content.
2. Automatically predict multi-purchase cadences: Trained by observing the historical patterns of all users across the site, AffinityML automatically understands the intervals between purchases and adjusts user affinity in these categories according to that cadence.
3. Identify one-time purchases and complementary products: AffinityML recognizes product attributes that indicate a one-time purchase by observing behavioral patterns of users across the entire site, automatically adjusting the affinity profile accordingly while factoring in new complementary products.
Optimizing affinity profiling with deep learning
Affinity Recommendations Adjust After Add-To-Cart
AffinityML identifies and recommends complementary items to the product a customer has added to their cart, dynamically adjusting their profile and affinity recommendations in real-time.
Pinpoint Abnormal Behaviors
AffinityML can also be used to identify atypical behavior exhibited by customers and predict one-time category purchases, automatically increasing or decreasing user affinity for these categories according to the historical purchasing activity of all users.
After a customer makes a one-time refrigerator purchase, affinity to refrigerators decreases to near-zero while affinity for water filters, a complimentary product, increases. When the customer purchases the water filter, their affinity for new filters decreases, steadily growing over time in-accordance with the buying cadence for replacements.
Affinity profiling with predictive precision
The evolution of affinity profiling, particularly with the advent of Dynamic Yield’s AffinityML, is undeniably shaping the future of personalization. A testament to our unwavering commitment to delivering the most intuitive and impactful digital experiences, AffinityML not only predicts customer intent; it anticipates and responds before it even becomes apparent. By embracing AffinityML, marketers can forge deeper connections with their customers, delivering experiences that feel tailor-made for each individual across every digital interaction.
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href="https://www.dynamicyield.com/experience-os/"><span class="menu-banner-img-wrap"><img class="menu-banner-img-desktop" src="/wp-content/uploads/2024/10/expos-nav-updated.png" width="218" height="131" /><img class="menu-banner-img-mobile" src="/wp-content/uploads/2024/10/expos-nav-updated-mobile.png" width="114" height="98" /></span><span class="menu-cta-text-wrap"><span class="menu-cta-subtitle">Get an overview of Dynamic Yield’s product and see why we’re known as the Experience OS.</span> <span class="menu-cta-button">Learn more →</span></span></a></li></ul></div></li><li class="left"><div class="key_caps-wrapper"><h2>Core Capabilities</h2><ul class="links-list"><li class="key-caps-segment menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/segmentation/"><svg version="1.1" id="audience" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 30 30" style="enable-background:new 0 0 30 30;" xml:space="preserve"><path id="audience-green" fill="#4FB294" d="M9.291,30H30V9.291C18.562737,9.291,9.291,18.562737,9.291,30z"/><path id="audience-black" d="M12.527,15.947C9.240353,12.385597,4.806085,10.093244,0,9.471V30h7.639 C7.632218,24.897682,9.35532,19.943764,12.527,15.947z"/><circle id="audience-circle" fill="#4FB294" cx="15" cy="4.967" r="4.967"/></svg>Segmentation<span>Identify, build, and analyze audiences</span></a></li><li class="key-caps-omnichannel menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/targeting/"><svg version="1.1" id="personalization" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 20.987 30" style="enable-background:new 0 0 20.987 30;" xml:space="preserve"><path id="personalization-black-2" d="M20.987,19.507c0,5.795401-4.698099,10.4935-10.4935,10.4935S0,25.302401,0,19.507H20.987z"/><path id="personalization-pink" fill="#EE3968" d="M18.143,10.245c0,4.224978-3.425022,7.649999-7.65,7.649999S2.842999,14.469978,2.842999,10.245 H18.143z"/><circle id="personalization-black-1" cx="10.494" cy="4.307" r="4.307"/></svg>Targeting<span>Serve each customer with unique offers</span></a></li><li class="key-caps-recs menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/recommendations/"><svg version="1.1" id="recs" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 30 30" style="enable-background:new 0 0 30 30;" xml:space="preserve"><path id="recs_4" d="M15.953,30H30V15.953H15.953V30z"/> <path id="recs_3" d="M0,15.953V30h14.047V15.953H0z"/><path id="recs_2" fill="#FFA354" d="M30,14.047V0H15.953v14.047H30z"/><path id="recs_1" d="M14.047,0H0v14.047h14.047V0z"/></svg>Recommendations<span>Algorithmically predict customers’ interests</span></a></li><li class="key-caps-email menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/journey-orchestration/"><svg version="1.1" id="trigger" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 26.017 30" style="enable-background:new 0 0 26.017 30;" xml:space="preserve"><path id="trigger-black" d="M14.017,12h12l-12,18V12z"/><path id="trigger-purple" fill="#5D39B9" d="M12,18H0L12,0V18z"/></svg>Journey Orchestration<span>Reach customers at critical moments</span></a></li><li class="key-caps-abtesting menu-item menu-item-type-custom menu-item-object-custom"><a href="/optimization/"><svg version="1.1" id="testing" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 28.713001 30" style="enable-background:new 0 0 28.713001 30;" xml:space="preserve"><path id="testing-blue" fill="#6BDADA" d="M15.831,0c7.114532,0,12.882001,5.767468,12.882001,12.882S22.945532,25.764,15.831,25.764l0,0V0z"/><path id="testing-black" d="M12.882,30C5.767468,30,0,24.232533,0,17.118S5.767468,4.236,12.882,4.236V30z"/></svg>Optimization<span>Experiment on any digital property</span></a></li><li class="key-caps-search menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/search/"><svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_4082_5186)" id="cap-search-svg-bg"> <path d="M11.6757 9.81054C8.73958 9.81054 6.35089 7.42177 6.35089 4.48562C6.35089 2.62899 7.30664 0.992133 8.75134 0.0388074C8.50309 0.0155936 8.25193 0.00238037 7.99762 0.00238037C3.58066 0.00238037 0 3.58304 0 8C0 12.417 3.58066 15.9976 7.99762 15.9976C12.4146 15.9976 15.9952 12.417 15.9952 8C15.9952 7.86848 15.9916 7.73782 15.9853 7.60785C15.0166 8.94122 13.4462 9.81054 11.6757 9.81054Z" fill="black"/> <path id="cap-search-svg-circle" d="M11.6757 0.161346C11.2226 0.161346 10.7857 0.231773 10.3749 0.361649C8.62429 0.915114 7.35156 2.55436 7.35156 4.48561C7.35156 6.87003 9.29141 8.80988 11.6757 8.80988C13.5373 8.80988 15.1277 7.62753 15.7358 5.97437C15.9066 5.51 16 5.00851 16 4.48561C16 2.10119 14.0602 0.161346 11.6757 0.161346Z" fill="#FFC61E"/> </g> <defs> <clipPath id="clip0_4082_5186"> <rect width="16" height="16" fill="white"/> </clipPath> </defs> </svg>Search<span>Help customers find what they want</span></a></li></ul></div></li><li class="right"><div class="scale-wrapper"><h2>Made for Scale</h2><ul class="links-list"><li class="key_caps-element menu-item menu-item-type-custom menu-item-object-custom"><a href="/element/">Element<span>A groundbreaking new dimension of hyper-personalization</span></a></li><li class="key_caps-adaptml menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/ai/">AI & Automation<span>Increase automation, lower operational costs, and drive more revenue with a holistic AI personalization system</span></a></li><li class="key_caps-apis menu-item menu-item-type-custom menu-item-object-custom"><a href="https://www.dynamicyield.com/experience-apis/">Experience APIs<span>Give developers the tools they need to build the best customer experiences</span></a></li><li class="key_caps-enterprise menu-item menu-item-type-custom menu-item-object-custom"><a href="https://www.dynamicyield.com/enterprise-grade-personalization/">Enterprise solutions<span>Scale with security, privacy, and compliance, made for the enterprise</span></a></li></ul></div></li></ul><a href="/shopping-muse/" target="" class="banner"><div class="menu-banner"><span class="menu-cta-text"><strong>Meet Shopping Muse: </strong> Conversational commerce meets cutting-edge personalization.</span> <span class="menu-cta-button">Learn more →</span></div></a></div></li><li id="solutions" class="dropdown links"><a href="" class="label">Solutions</a><div class="content"><ul><li class="left"><div class="industries-wrapper"><h2>Industries</h2><ul class="links-list"><li class="industry-ecomm menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/ecommerce/">eCommerce</a></li><li class="industry-finserv menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/financial-services/">Financial Services</a></li><li class="industry-qsr menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/restaurants/">Restaurants</a></li><li class="industry-grocery menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/grocery/">Grocery</a></li><li class="industry-b2b menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/b2b-ecommerce/">B2B eCommerce</a></li><li class="industry-travel menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/travel/">Travel</a></li><li class="industry-gaming menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/gaming/">iGaming</a></li><li class="industry-media menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/media/">Media</a></li></ul></div></li><li class="right"><div class="channels-wrapper"><h2>Channels</h2><ul class="links-list"><li class="channels-web menu-item menu-item-type-custom menu-item-object-custom"><a href="/web/">Web<span>Create customer-centric web experiences</span></a></li><li class="channels-email menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/channels/email/">Email<span>Personalize emails with a no-code builder</span></a></li><li class="channels-mobile-apps menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/mobile/">Apps<span>Optimize mobile app experiences</span></a></li><li class="channels-ads menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/advertising/">Ads<span>Improve customer acquisition results</span></a></li></ul></div></li></ul></div></li><li id="why-dynamic-yield" class="dropdown links"><a href="" class="label">Why Dynamic Yield</a><div class="content"><ul><li class="impact-wrapper"><h2>Proven impact and success services</h2><ul class="links-list"><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/clients/">Select customers</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="/case-studies/">Case studies</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="/customer-success/">Customer success services</a></li></ul></li><li class="scale-wrapper"><h2>Built for scale</h2><ul class="links-list"><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/enterprise-grade-personalization/">Enterprise-grade solutions</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="/adaptml/">AI Technology</a></li><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/gdpr-and-privacy/">GDPR and data privacy</a></li><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/security/">Security</a></li><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/compliance/">Compliance</a></li></ul></li><li class="network-wrapper"><h2>Robust partner network</h2><ul class="links-list"><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/partners/">Partner library</a></li><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/partner-program/">Partnership program</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="/partners/#technology-partners">Tech Partners and Integrations</a></li></ul></li><li class="resources-wrapper"><h2>Extensive product resources</h2><ul class="links-list"><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="https://support.dynamicyield.com/hc/en-us">Knowledge Base</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="http://academy.dynamicyield.com/">Academy & Certification</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="https://support.dynamicyield.com/hc/en-us/community/topics">Community</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="https://dy.dev/">API documentation</a></li></ul></li></ul><a href="https://www.dynamicyield.com/personalization-awards/" target="_self" class="banner"><div class="menu-banner"><div class="menu-cta--left"> <img src="/wp-content/uploads/2023/11/2023-award-badge.svg" width="60" height="60" /></div><div class="menu-cta--right"> <strong class="menu-cta-title">The Personalization Awards</strong> <span class="menu-cta-subtitle">Celebrating customers and partners setting the gold-standard for personalization</span> <span class="menu-cta-button">Learn more →</span></div></div></a></div></li><li id="company" class="dropdown button"><a href="" class="label">Company</a><div class="content"><ul class="links-list"><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="https://www.mastercard.com/us/en/for-the-world/about-us.html">About us</a></li><li class=" menu-item menu-item-type-custom menu-item-object-custom"><a href="/blog/">Blog</a></li><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/labs/">DY Labs</a></li><li class=" menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/careers/">Careers</a></li><li class=" menu-item 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exponential levels</a></li><li class="hidden-desktop menu-item menu-item-type-custom menu-item-object-custom"><a href="/learn/">XP<sup>2</sup> Hub<span>Take your knowledge to exponential levels</span></a></li><li class="resources-paths menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/learning-paths/">Learning Paths<span>Curated courses on key skill areas</span></a></li><li class="resources-webinars menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/talks/">Talks<span>Engaging discussions taking place in CX</span></a></li><li class="resources-articles menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/articles/">Articles<span>An expansive collection of in-depth playbooks</span></a></li><li class="resources-glossary menu-item menu-item-type-custom menu-item-object-custom"><a href="/glossary-terms/">Encyclopedia<span>A glossary of experience optimization terms</span></a></li><li class="resources-use-cases menu-item menu-item-type-post_type menu-item-object-page"><a href="https://www.dynamicyield.com/personalization-examples/">Inspiration Library<span>Personalization examples from real brands</span></a></li><li class="resources-maturity menu-item menu-item-type-custom menu-item-object-custom"><a href="https://www.dynamicyield.com/personalization-maturity/"><strong class="badge-new">Personalization Maturity</strong><span>How global businesses prioritize personalization</span></a></li><li class="resources-guides menu-item menu-item-type-custom menu-item-object-custom"><a href="/guides/">Guides & reports<span>Comprehensive topic-specific materials</span></a></li><li class="resources-benchmarks menu-item menu-item-type-custom menu-item-object-custom"><a href="https://marketing.dynamicyield.com/benchmarks/">Benchmarks<span>Industry performance metrics and insights</span></a></li></ul></li><li class="bottom"><a href="/rooted-personalization/" target="_self"><div class="menu-banner"><div class="menu-cta--left"> <img src="/wp-content/uploads/2023/03/rooted-icon.svg" width="60" height="60" /></div><div class="menu-cta--right"> <strong class="menu-cta-title">Rooted Personalization<span>new</span></strong> <span class="menu-cta-subtitle">Learn a scalable methodology for building an audience-based personalization program.</span> <span class="menu-cta-button">Find out more →</span></div></div></a></li></ul></div></li><li class="contact top-link walker-last mobile-only menu-item menu-item-type-post_type menu-item-object-page" data-content="connect-with-us" title=""> <a href="https://www.dynamicyield.com/contact/"><span class="button-arrow">Connect with us</span></a></li></ul><div class="bg-layer" aria-hidden="true"></div></div></div></li></ul></nav></div><div class="topnav-buttons"><div class="language-switcher header-language-switcher"><ul><li>en<ul><li><a class="active" 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tag">Product</a></li></ul></div><h1 class="article-title">Beyond Past Behavior: Predict Future Needs with AI-Powered Affinity</h1><h2 class="article-excerpt">Dive under the hood of AffinityML, a neural network algorithm that unlocks real-time understanding of individual customer preferences, enabling to anticipate and fulfill their needs with pinpoint accuracy</h2><div class="article-authors lc-flex"><div class="article-author-box lc-col lc-flex"><div class="article-author-image lc-col"><div class="entry_author_image"></div></div><div class="article-author-title lc-col"><div class="article-author-name"> <a href="https://www.dynamicyield.com/blog/author/sam/" title="Posts by Sam Macleod" rel="author">Sam Macleod</a></div><div class="article-author-title-text"></div></div></div></div><div class="entry-content article-entry-content"><p>It’s never been more important for marketers to deliver experiences that resonate with each customer on an individual level. <a href="https://www.dynamicyield.com/affinity/">Affinity</a> profiling, a mainstay in the modern <a href="https://www.dynamicyield.com/article/personalization-guide/">personalization</a> toolkit, is a powerful way to achieve 1:1 relevance, but as customer expectations rise, so too does the need for an even more powerful solution.</p><p>The industry standard for calculating <a href="https://www.dynamicyield.com/fr/glossary/customer-affinity/">customer affinity</a> today, in essence, relies on the assumption that what a customer has demonstrated liking in the past, they will continue to like in the future. But what if the affinity profile could do more, to truly predict a customer’s future preferences and interests? What if it could adjust for one-time purchases, identify complementary products a customer might be interested in, and even account for the cadences of repeat purchases? All of this and more is now possible with AffinityML, a neural network algorithm that predicts affinity with unrivaled accuracy and takes understanding your customers to a whole new level.</p><h2><strong>Affinity profiling today</strong></h2><p>Affinity profiles represent personal connections forged between people and a particular topic, brand, product, service or attribute. These could be affinities to specific brands or types of content, or even more granular, from sizes and colors to dietary preferences, loan types and more. </p><p>These profiles capture an intricate view of user preferences and interests according to their online behavior. But how is affinity calculated?</p><p>Traditional affinity profile models add a score to a user based on the metadata connected to a product they’ve interacted with. This score is calculated by capturing every engagement a user has with a given digital property and then collecting all of the product attribute values associated with the interaction. Every interaction a customer has with a product will update the score of each attribute value according to the type of interaction as well as when it occurred. For the data to become meaningful, a correlation between the user interaction and the attribute value is then determined. Traditionally, this is done by assigning a weight to each engagement based on its assumed level of intent and then summing up the total number of engagements per each value. The higher the level of intent, the greater the weight given to the interaction. These scores can be used to create an affinity profile, allowing marketers to rank product attributes like color, brand, category, and so forth based on the customer’s activity. </p><p>A cornerstone of our personalization philosophy, affinity profiles play an important role in developing audiences, establishing targeting conditions, and serving relevant product and content recommendations. Through this adoption of affinity profiling, we’ve witnessed remarkable results from our affinity-based personalization, opening up an entirely new world of potential for brands to capitalize on what they know about their customers and inspiring us to dive deeper into the intricacies of user behavior.</p><h2><strong>Next-engagement prediction with affinity, powered by deep learning</strong></h2><p>Dynamic Yield’s AffinityML, part of <a href="https://www.dynamicyield.com/adaptml/">the AdaptML system</a>, enables marketers to understand their customers better than ever before with a neural network algorithm that identifies future-purchase intent. Traditional models make assumptions about user interests based on past interactions. AffinityML, on the other hand, is a self-learning algorithm that can predict changing customer preferences, even before the customers themselves know it. This predictive capability enables marketers to anticipate and respond to evolving intent, ensuring that personalized <a href="https://www.dynamicyield.com/lesson/affinity-based-recommendations/">affinity-based recommendations</a> are served to all customers. </p><p>Here’s a breakdown of how AffinityML empowers you to harness the power of AI to understand your customers more deeply:</p><p><strong>1. Automate decisions with a self-learning algorithm: </strong>This neural network algorithm is trained on both the behavior of each individual user and the site activity of all users, enabling it to understand user behavior on both micro and macro levels to deliver precise, predictive, and relevant content.</p><p><strong>2. Automatically predict multi-purchase cadences: </strong>Trained by observing the historical patterns of all users across the site, AffinityML automatically understands the intervals between purchases and adjusts <a href="https://www.dynamicyield.com/lesson/exposing-the-complexity-of-user-affinities/">user affinity</a> in these categories according to that cadence.</p><p><strong>3. Identify one-time purchases and complementary products: </strong>AffinityML recognizes product attributes that indicate a one-time purchase by observing behavioral patterns of users across the entire site, automatically adjusting the affinity profile accordingly while factoring in new complementary products.</p><h2><strong>Optimizing affinity profiling with deep learning </strong></h2><h3><strong>Affinity Recommendations Adjust After Add-To-Cart</strong></h3><p>AffinityML identifies and recommends complementary items to the product a customer has added to their cart, dynamically adjusting their profile and <a href="https://www.dynamicyield.com/de/glossary/affinity-based-recommendations/">affinity recommendations</a> in real-time.</p><p><img fetchpriority="high" decoding="async" src="https://www.dynamicyield.com/wp-content/uploads/2024/01/dy-affinity-ml-2023-inline-1-UPDATED.png" alt="" width="1330" height="600" /></p><h3><strong>Pinpoint Abnormal Behaviors</strong></h3><p>AffinityML can also be used to identify atypical behavior exhibited by customers and predict one-time category purchases, automatically increasing or decreasing user affinity for these categories according to the historical purchasing activity of all users.</p><p><img decoding="async" src="https://www.dynamicyield.com/wp-content/uploads/2024/01/dy-affinity-ml-2023-inline-2-UPDATED.png" alt="" width="1330" height="657" /></p><div style="font-size: 12px; margin-top: 0px; line-height: 1.3em; margin-bottom: 0px; max-width: 1330px; text-align: center;"><em>After a customer makes a one-time refrigerator purchase, affinity to refrigerators decreases to near-zero while affinity for water filters, a complimentary product, increases. When the customer purchases the water filter, their affinity for new filters decreases, steadily growing over time in-accordance with the buying cadence for replacements.</em></div></p><h2><strong>Affinity profiling with predictive precision</strong></h2><p>The evolution of affinity profiling, particularly with the advent of Dynamic Yield’s AffinityML, is undeniably shaping the future of personalization. A testament to our unwavering commitment to delivering the most intuitive and impactful digital experiences, AffinityML not only predicts customer intent; it anticipates and responds before it even becomes apparent. By embracing AffinityML, marketers can forge deeper connections with their customers, delivering experiences that feel tailor-made for each individual across every digital interaction.</p></div></article><div style="clear: both;"></div></div></div><div class="article-content"><div class="article-separator"><svg width="54" height="26" viewBox="0 0 54 26" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M53.0088 25.6367C52.7884 21.9564 51.8025 18.3625 50.1141 15.0849C48.4256 11.8073 46.0718 8.9181 43.2031 6.60203L43.2031 25.6367L53.0088 25.6367Z" fill="black"/> <path d="M14.4395 3.59038C10.3237 5.69174 6.82743 8.83082 4.29638 12.6973C1.76533 16.5638 0.28711 21.0239 0.0078125 25.6367L14.4395 25.6367L14.4395 3.59038Z" fill="black"/> <path d="M17.6563 2.20809L17.6562 25.6367L39.9829 25.6367L39.9829 4.36701C39.9829 4.36701 30.7303 -2.31342 17.6563 2.20809Z" fill="black"/> </svg></div><div class="article-tags-block"> <strong>Categories:</strong><ul class="post-categories"><li><a href="https://www.dynamicyield.com/blog/category/product/" rel="category tag">Product</a></li></ul></div><div class="article-tags-block"><strong>Tags:</strong><a href="https://www.dynamicyield.com/blog/tag/adaptml/" rel="tag">AdaptML</a><a href="https://www.dynamicyield.com/blog/tag/affinity-profiling/" rel="tag">Affinity Profiling</a><a href="https://www.dynamicyield.com/blog/tag/affinityml/" rel="tag">AffinityML</a><a href="https://www.dynamicyield.com/blog/tag/deep-learning/" rel="tag">Deep Learning</a></div></div></div><section class="lc-subscription-section"><div class="lc-subscription-form-block lc-subscription-inner"><h4 class="lc-subscription-title">Sign up for the XP² newsletter</h4><div class="lc-subscription-text">Join thousands of readers from Target, Citi, Spotify, Hulu, Google, Sephora, and other innovative brands who read our bi-weekly XP² newsletter, delivering educational content, research, and insights straight to your inbox</div><form class="mktoForm" data-formId="3876" data-formInstance="sub-inline"></form><div class="lc-privacy-wrapper"><div class="lc-privacy"> You may unsubscribe at any time. 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'utm_term': 'txt_term__c',
'gclid': ['GCLID__c', 'GCLID_c__c']
};
for(var i = 0; i < Object.keys(dy_utms).length; i++) {
var ls_key = Object.keys(dy_utms)[i],
ls_value = localStorage.getItem(ls_key),
form_key = dy_utms[ls_key],
form_field;
if(ls_value) {
if(ls_key === 'gclid') {
ls_value = JSON.parse(ls_value).value;
}
if(typeof(form_key) === 'string') {
form_field = form[0].querySelector('input[type="hidden"][name="' + form_key + '"]');
if(form_field) {
form_field.value = ls_value;
}
} else {
for(var j = 0; j < form_key.length; j++) {
form_field = form[0].querySelector('input[type="hidden"][name="' + form_key[j] + '"]');
if(form_field) {
form_field.value = ls_value;
}
}
}
}
}
// IP Address
fetch('https://www.cloudflare.com/cdn-cgi/trace').then(function(result) {
result.text().then(function(values) {
values.split("\n").map(function(item) {
var pair = item.split('=');
if(['ip'].includes(pair[0])) {
form[0].querySelector('input[type="hidden"][name="IP__c"]').value = pair[1];
}
});
});
});
// GA ID and Referrer
var dy_utms_cookie = {};
document.cookie.split(';').forEach(function(el) {
var splitCookie = el.split('=');
var key = splitCookie[0].trim();
var value = splitCookie[1];
dy_utms_cookie[key] = value;
});
if(dy_utms_cookie["_ga"]) {
form[0].querySelector('input[type="hidden"][name="Visitor_ID__c"]').value = dy_utms_cookie["_ga"].substring(6);
}
if(dy_utms_cookie["personalize_referrer_string"]) {
form[0].querySelector('input[type="hidden"][name="Referral__c"]').value = dy_utms_cookie["personalize_referrer_string"].substring(6);
}
// ZoomInfo
if(localStorage.getItem('ZoomInfoData')) {
var zoominfo_data = JSON.parse(localStorage.getItem('ZoomInfoData'));
if(zoominfo_data) {
form[0].querySelector('input[type="hidden"][name="Alexa_Rank__c"]').value = zoominfo_data.alexaglobalrank;
form[0].querySelector('input[type="hidden"][name="Employees__c"]').value = zoominfo_data.employeesrange;
form[0].querySelector('input[type="hidden"][name="Company_Revenue_Range__c"]').value = zoominfo_data.estimatedannualrevenue;
}
}
// Also, dispatch a dataLayer event on success
_form.onSuccess(function(values, follow_up_url) {
window.dataLayer = window.dataLayer || [];
if([3739, 4802, 5094, 5110, 4946, 5076, 5116, 5171, 5172, 5173].includes(_form.getId())) {
window.dataLayer.push({
'event': 'demo_request_complete',
'eventCallback': function() {
if(follow_up_url) {
window.location.href = follow_up_url;
}
}
});
return false;
} else if([3876].includes(_form.getId())) {
window.dataLayer.push({
'event': 'newsletter_signup_complete',
'eventCallback': function() {
if(follow_up_url) {
window.location.href = follow_up_url;
}
}
});
return false;
}
});
});
}</script> <script>if(typeof(jQuery) !== 'undefined') {
$ = jQuery.noConflict();
}
function getUrlParameter(sParam) {
var sPageURL = decodeURIComponent(window.location.search.substring(1)),
sURLVariables = sPageURL.split('&'),
sParameterName,
i;
for (i = 0; i < sURLVariables.length; i++) {
sParameterName = sURLVariables[i].split('=');
if (sParameterName[0] === sParam) {
return sParameterName[1] === undefined ? true : sParameterName[1];
}
}
}
$(window).load(function(){
var videoID = getUrlParameter('video');
if(videoID !== undefined){
if($('#wistia-' + videoID + '-1').length){
var videoName = $('#wistia-' + videoID + '-1').parents('.tab-pane');
videoName = videoName[0].id
}
if($('a[href="#' + videoName +'"]').length){
$('a[href="#' + videoName +'"]').each(function(){
$(this).click();
});
}
addScript('https://fast.wistia.com/embed/medias/'+ videoID +'.jsonp');
addScript('https://fast.wistia.com/assets/external/E-v1.js');
$('body').append('<span class="wistia_embed wistia_async_'+videoID+' popover=true popoverContent=link dy-wistia-popup" style="display:inline"></span>');
window._wq = window._wq || [];
_wq.push({ id: videoID, onReady: function(video) {
var video = Wistia.api(videoID);
video.popover.show(); // open the popover
video.play(); // play the video
setTimeout(function(){video.unmute();}, 500);
}});
}
});</script> <style>#adBanner {
background-color: transparent;
height: 0;
width: 1px;
}</style><div id="wrapfabtest"><div id="adBanner"></div></div></body></html>
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