Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. <\/p>\n\n\n\n
Building a great website is, unfortunately, not simply a matter of following best practices. Even within a single industry, users will hold varied expectations based on your brand, communication style, target audience, funnel, etc. And while browsing the same website, users’ expectations can vary, with some knowing exactly what they want and others needing to explore, check your returns policy, learn about your sustainability initiatives, and so on.<\/p>\n\n\n\n
We have all heard the hype about how AI has been revolutionizing how marketers approach experimentation. Generative AI offers new opportunities for optimizing every aspect of the user journey, allowing marketers to:<\/p>\n\n\n\n
This guest blog post was written by Rodolphe Dougoud, Project Lead at fifty-five<\/a>\u2014a leading data company that helps brands harness the potential of Generative AI and mitigate associated risks effectively with a comprehensive and pragmatic AI strategy, among other services. <\/p>\n\n\n\nBelow, we\u2019ll explore these three perspectives in depth, with real-life examples gleaned from Wingify\u2019s new algorithm, Emotions AI, and fifty-five\u2019s work with its clients around GenAI. <\/p>\n\n\n\nAI in Action for Experiences that Matter<\/strong><\/strong><\/h2>\n\n\n\n1. Streamline testing<\/h3>\n\n\n\n\n<\/li>\n<\/ol>\n\n\n\nWhen thinking about A\/B testing, you might immediately picture creating an experiment and launching it live on a website. However, the most time-consuming phases of the A\/B testing process generally come before and after that: finding new features to try out in order to create a testing roadmap and analyzing the results of these tests. Here, AI can increase test velocity by helping to reduce bottlenecks hindering both of the aforementioned stages.<\/p>\n\n\n\nTest ideation<\/h4>\n\n\n\nYour roadmap must not only be top-down but also bottom-up: pay close attention to insights from your UX designers<\/strong>, based on benchmarks <\/strong>from your competitors and industry trends, and data-driven insights<\/strong> based on your own analytics data<\/strong>. Here, AI can facilitate<\/strong> the process by analyzing large datasets<\/strong> (e.g., on-site Analytics data) to find insights humans might have missed.<\/p>\n\n\n\nResult analysis<\/h4>\n\n\n\nSimilarly, it\u2019s essential to analyze the results of your tests thoroughly. Looking at one KPI can sometimes be enough, but it often represents only one part of a bigger story. An aptly-calibrated AI model can find hidden insights within your testing results<\/strong>. <\/p>\n\n\n\nWhile we generally know what data we want to access, the actual querying of that data can be time-consuming. Applying a GenAI model to your dataset can also allow you to query your data in natural language<\/strong>, letting the model pull the data for you, run the query, and create instant visualizations<\/strong> for major time gains.<\/p>\n\n\n\nContent creation<\/h4>\n\n\n\nWhile not necessary for most tests, creating new content to be included in the testing phase can take a long time and impact your roadmap. While GenAI cannot produce the same quality of content as your UX team, a UX designer equipped with a GenAI tool can create more content faster. The model used can be trained with your design chart to ensure it integrates with the rest of your content. Overall, adding a GenAI tool as a complement to your design arsenal can yield substantial gains in productivity and, therefore, reinforce your testing roadmap timeline.<\/p>\n\n\n\n2. Create new online experiences<\/h3>\n\n\n\nMarketers should not hesitate to experiment with AI <\/strong>to create unique and interactive experiences. Generative AI can create personalized content and recommendations<\/strong> that can engage users more effectively. <\/p>\n\n\n\nConsider, for instance, fifty-five’s recent work with Chronodrive<\/a>, a grocery shopping and delivery app. We used AI to address a common user challenge<\/strong> (and, frankly, near-universal issue): deciding what to make for dinner. <\/p>\n\n\n\nWith our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wingify.com\/blog\/ai-and-future-of-digital-optimization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How AI is Shaping the Future of Digital Optimization\" \/>\n<meta property=\"og:description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/wingify.com\/blog\/ai-and-future-of-digital-optimization\/\" \/>\n<meta property=\"og:site_name\" content=\"Wingify Blog\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-19T14:54:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-03T06:07:00+00:00\" \/>\n<meta name=\"author\" content=\"Ga\u00ebtan Postorivo\" \/>\n<meta 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Below, we\u2019ll explore these three perspectives in depth, with real-life examples gleaned from Wingify\u2019s new algorithm, Emotions AI, and fifty-five\u2019s work with its clients around GenAI. <\/p>\n\n\n\n
When thinking about A\/B testing, you might immediately picture creating an experiment and launching it live on a website. However, the most time-consuming phases of the A\/B testing process generally come before and after that: finding new features to try out in order to create a testing roadmap and analyzing the results of these tests. Here, AI can increase test velocity by helping to reduce bottlenecks hindering both of the aforementioned stages.<\/p>\n\n\n\n
Your roadmap must not only be top-down but also bottom-up: pay close attention to insights from your UX designers<\/strong>, based on benchmarks <\/strong>from your competitors and industry trends, and data-driven insights<\/strong> based on your own analytics data<\/strong>. Here, AI can facilitate<\/strong> the process by analyzing large datasets<\/strong> (e.g., on-site Analytics data) to find insights humans might have missed.<\/p>\n\n\n\nResult analysis<\/h4>\n\n\n\nSimilarly, it\u2019s essential to analyze the results of your tests thoroughly. Looking at one KPI can sometimes be enough, but it often represents only one part of a bigger story. An aptly-calibrated AI model can find hidden insights within your testing results<\/strong>. <\/p>\n\n\n\nWhile we generally know what data we want to access, the actual querying of that data can be time-consuming. Applying a GenAI model to your dataset can also allow you to query your data in natural language<\/strong>, letting the model pull the data for you, run the query, and create instant visualizations<\/strong> for major time gains.<\/p>\n\n\n\nContent creation<\/h4>\n\n\n\nWhile not necessary for most tests, creating new content to be included in the testing phase can take a long time and impact your roadmap. While GenAI cannot produce the same quality of content as your UX team, a UX designer equipped with a GenAI tool can create more content faster. The model used can be trained with your design chart to ensure it integrates with the rest of your content. Overall, adding a GenAI tool as a complement to your design arsenal can yield substantial gains in productivity and, therefore, reinforce your testing roadmap timeline.<\/p>\n\n\n\n2. Create new online experiences<\/h3>\n\n\n\nMarketers should not hesitate to experiment with AI <\/strong>to create unique and interactive experiences. Generative AI can create personalized content and recommendations<\/strong> that can engage users more effectively. <\/p>\n\n\n\nConsider, for instance, fifty-five’s recent work with Chronodrive<\/a>, a grocery shopping and delivery app. We used AI to address a common user challenge<\/strong> (and, frankly, near-universal issue): deciding what to make for dinner. <\/p>\n\n\n\nWith our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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Similarly, it\u2019s essential to analyze the results of your tests thoroughly. Looking at one KPI can sometimes be enough, but it often represents only one part of a bigger story. An aptly-calibrated AI model can find hidden insights within your testing results<\/strong>. <\/p>\n\n\n\nWhile we generally know what data we want to access, the actual querying of that data can be time-consuming. Applying a GenAI model to your dataset can also allow you to query your data in natural language<\/strong>, letting the model pull the data for you, run the query, and create instant visualizations<\/strong> for major time gains.<\/p>\n\n\n\nContent creation<\/h4>\n\n\n\nWhile not necessary for most tests, creating new content to be included in the testing phase can take a long time and impact your roadmap. While GenAI cannot produce the same quality of content as your UX team, a UX designer equipped with a GenAI tool can create more content faster. The model used can be trained with your design chart to ensure it integrates with the rest of your content. Overall, adding a GenAI tool as a complement to your design arsenal can yield substantial gains in productivity and, therefore, reinforce your testing roadmap timeline.<\/p>\n\n\n\n2. Create new online experiences<\/h3>\n\n\n\nMarketers should not hesitate to experiment with AI <\/strong>to create unique and interactive experiences. Generative AI can create personalized content and recommendations<\/strong> that can engage users more effectively. <\/p>\n\n\n\nConsider, for instance, fifty-five’s recent work with Chronodrive<\/a>, a grocery shopping and delivery app. We used AI to address a common user challenge<\/strong> (and, frankly, near-universal issue): deciding what to make for dinner. <\/p>\n\n\n\nWith our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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While we generally know what data we want to access, the actual querying of that data can be time-consuming. Applying a GenAI model to your dataset can also allow you to query your data in natural language<\/strong>, letting the model pull the data for you, run the query, and create instant visualizations<\/strong> for major time gains.<\/p>\n\n\n\nContent creation<\/h4>\n\n\n\nWhile not necessary for most tests, creating new content to be included in the testing phase can take a long time and impact your roadmap. While GenAI cannot produce the same quality of content as your UX team, a UX designer equipped with a GenAI tool can create more content faster. The model used can be trained with your design chart to ensure it integrates with the rest of your content. Overall, adding a GenAI tool as a complement to your design arsenal can yield substantial gains in productivity and, therefore, reinforce your testing roadmap timeline.<\/p>\n\n\n\n2. Create new online experiences<\/h3>\n\n\n\nMarketers should not hesitate to experiment with AI <\/strong>to create unique and interactive experiences. Generative AI can create personalized content and recommendations<\/strong> that can engage users more effectively. <\/p>\n\n\n\nConsider, for instance, fifty-five’s recent work with Chronodrive<\/a>, a grocery shopping and delivery app. We used AI to address a common user challenge<\/strong> (and, frankly, near-universal issue): deciding what to make for dinner. <\/p>\n\n\n\nWith our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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While not necessary for most tests, creating new content to be included in the testing phase can take a long time and impact your roadmap. While GenAI cannot produce the same quality of content as your UX team, a UX designer equipped with a GenAI tool can create more content faster. The model used can be trained with your design chart to ensure it integrates with the rest of your content. Overall, adding a GenAI tool as a complement to your design arsenal can yield substantial gains in productivity and, therefore, reinforce your testing roadmap timeline.<\/p>\n\n\n\n
Marketers should not hesitate to experiment with AI <\/strong>to create unique and interactive experiences. Generative AI can create personalized content and recommendations<\/strong> that can engage users more effectively. <\/p>\n\n\n\nConsider, for instance, fifty-five’s recent work with Chronodrive<\/a>, a grocery shopping and delivery app. We used AI to address a common user challenge<\/strong> (and, frankly, near-universal issue): deciding what to make for dinner. <\/p>\n\n\n\nWith our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. 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Consider, for instance, fifty-five’s recent work with Chronodrive<\/a>, a grocery shopping and delivery app. We used AI to address a common user challenge<\/strong> (and, frankly, near-universal issue): deciding what to make for dinner. <\/p>\n\n\n\nWith our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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With our innovative solution, taking a picture of the inside of your fridge will allow the app to create a recipe based on the ingredients it identifies, while a photo of a dish \u2013 taken at a restaurant or even downloaded from social media \u2013 will generate a recipe for said dish and its associated shopping list. <\/p>\n\n\n\n
Artificial Intelligence opens new creative options that weren’t available with previous LLM models. Chronodrive\u2019s solution may not be applicable to most companies, but every business can think back on their typical user\u2019s pain points and conceptualize how GenAI could help ease them.<\/p>\n\n\n\n<\/figure>\n\n\n\n3. Create new types of user segments for more precise personalized experiences<\/h3>\n\n\n\nWhen a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\nOnline, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\nAI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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When a customer enters a store, a salesperson can instantly personalize their experience by checking if they want to be helped or just want to browse, if they are discovering the brand or are already sold on it, if they require guidance or know precisely what they want\u2026 A website, on the other hand, necessitates extra effort to present the user with a similarly personalized experience. <\/p>\n\n\n\n
Online, segmentation thus becomes indispensable to deliver the most satisfying user experience possible. Even during testing phases, deploying A\/B tests on user segments makes achieving significant results more likely, as increased precision helps mitigate the risk of obtaining neutral results.<\/p>\n\n\n\n
AI can analyze a wide array of user interactions on a given website to determine which elements drive the most conversions, or how different users respond to specific stimuli. This analysis can allow brands to classify users into new segments that could not have been available otherwise. For instance, fifty-five applied AI to split Shiseido’s website users between low and high-lifetime value segments. <\/a>This allowed Shiseido to run differentiated A\/B tests and personalize their website depending on the expected lifetime value of the user, resulting in a 12.6% increase in conversions.<\/p>\n\n\n\n<\/figure>\n\n\n\nGoing even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\nHow AI is Shaping the Future of Digital Optimization<\/title>\n<meta name=\"description\" content=\"In this Guest Blog by fifty-five, Discover How Gen AI is Transforming E-Commerce with A\/B Testing, Personalization, and User Segmentation to Boost Conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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Going even further, what if AI could read your emotions? Wingify\u2019s new AI algorithm, Emotions AI<\/a>, can automatically segment your audience into 10 categories based on emotional needs. <\/p>\n\n\n\n<\/figure>\n\n\n\n\nIf a user needs to be reassured, the website can emphasize its free return policy<\/li>\n\n\n\nIf they need clarity, the website can highlight factual information about your product<\/li>\n\n\n\nAnd if they need immediacy, the website can hide any unnecessary information to instead focus on its main CTAs<\/li>\n<\/ul>\n\n\n\nThe model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\nWant to Learn More?<\/strong><\/h2>\n\n\n\nIf you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. 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The model estimates the needs of the user by taking into consideration all of their interactions with the website: how long they wait before clicking, whether they scroll through an entire page, where their mouse hovers, how many times they click, etc. This enables stronger personalization, both during testing phases and when deploying online features, by letting you know exactly what your users need. <\/p>\n\n\n\n
If you would like to dive deeper into current experimentation trends, watch our webinar replay here<\/a>, where fifty-five and Wingify explored key CRO case studies and more. And if you have any questions or insights you\u2019d like to share, please leave a comment \u2013 we would love to hear from you! <\/p>\n\n\n\n<\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. 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Any marketer will tell you that Digital Optimization is crucial to ensure successful e-commerce operations and yield the best possible return on investment (ROI). This practice includes both A\/B testing and website personalization: every website presents a unique set of features and designs, which must, in turn, be optimized through A\/B testing. Building a great…<\/p>\n","protected":false},"author":1450,"featured_media":115643,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"post_read_time":0,"footnotes":""},"categories":[10789],"tags":[10724,10909,10910,10809,10786,10911,10815],"feature":[],"industry-type":[],"product":[],"role":[],"region":[],"class_list":["post-111931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-a-b-testing","tag-ai","tag-digital-optimization","tag-e-commerce","tag-experimentation-fr","tag-gen-ai","tag-psychology"],"acf":[],"yoast_head":"\n
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