{"id":567,"date":"2022-08-05T09:10:42","date_gmt":"2022-08-05T07:10:42","guid":{"rendered":"https:\/\/dataarchitects.ai\/\/?page_id=567"},"modified":"2024-01-23T18:10:35","modified_gmt":"2024-01-23T17:10:35","slug":"customer-journey-suite","status":"publish","type":"page","link":"https:\/\/dataarchitects.ai\/en\/customer-journey-suite\/","title":{"rendered":"Customer Journey Suite\u00a0\u00a0"},"content":{"rendered":"<style id=\"page-baner-block_62ecc2514fdfb-css\">\n            .page-baner__content {\n  grid-column-start: 2;\n  grid-column-end: 14;\n  position: absolute;\n  z-index: 3;\n  top: 50%;\n  transform: translateY(-50%);\n}\n@media (min-width: 768px) {\n  .page-baner__content {\n    grid-column-start: 3;\n    grid-column-end: 13;\n  }\n}\n@media (min-width: 1024px) {\n  .page-baner__content {\n    grid-column-start: 4;\n    grid-column-end: 12;\n    display: flex;\n    flex-direction: column;\n    height: 100%;\n    justify-content: flex-start;\n    margin: 8rem 0 auto 0;\n  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          <img decoding=\"async\" loading='eager' src=\"https:\/\/dataarchitects.ai\/wp-content\/uploads\/2022\/06\/baner-mobile.jpg\" alt=\"\"\n                            <\/picture>\n        <\/div>\n\n    <\/section>\n\n\n\n\n                    <style id=\"content-block_62ecc2574fdfc-css\">\n            .content__heading {\n  grid-row-start: 1;\n  grid-column-start: 2;\n  grid-row-end: 2;\n  grid-column-end: 14;\n  margin: 0 auto 1.5rem auto;\n}\n@media (min-width: 1280px) {\n  .content__heading {\n    margin: 0 auto 2rem auto;\n  }\n}\n.content__heading:after {\n  content: \"\";\n  display: block;\n  width: 100px;\n  margin: 1.5rem auto 0;\n  height: 1px;\n  background-color: #000;\n}\n@media (min-width: 1280px) {\n  .content__heading:after {\n    margin: 2rem auto 0;\n  }\n}\n.content__brief {\n  grid-row-start: 2;\n  grid-column-start: 2;\n  grid-row-end: 3;\n  grid-column-end: 14;\n  color: #000;\n  text-align: center;\n}\n@media (min-width: 1024px) {\n  .content__brief {\n    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  <\/style>\n    \n    <section id=\"content-block_62ecc2574fdfc\" class=\"content container grid-14 block-mspace\">\n                            <div class=\"content__heading section-title\">\n                <p>Customer Journey Suite<\/p>\n            <\/div>\n        \n                    <div class=\"content__brief\">\n                <p>Create a personalized customer journey<\/p>\n            <\/div>\n        \n                    <div class=\"content__description\">\n                <p>With the digitization of the sales process, collecting customer information has become a priority for companies of all sizes supporting a variety of business models. Companies began collecting data from multiple sources, in a variety of formats. Digital transformation and increasingly important omnichannel sales strategies generate more data than ever. Responding to dynamic market changes requires precisely targeted actions in real time. The new approach to data-driven marketing campaigns is closely related to the growing need to personalize the offer and optimize marketing activities in digital channels.<\/p>\n<p><center><img decoding=\"async\" class=\"aligncenter wp-image-815 size-large\" src=\"https:\/\/dataarchitects.ai\/wp-content\/uploads\/2024\/01\/Multicolor-Illustrative-Customer-Journey-Steps-Graph-5-1024x768.png\" alt=\"\" width=\"90%\" height=\"60%\" srcset=\"https:\/\/dataarchitects.ai\/wp-content\/uploads\/2024\/01\/Multicolor-Illustrative-Customer-Journey-Steps-Graph-5-1024x768.png 1024w, https:\/\/dataarchitects.ai\/wp-content\/uploads\/2024\/01\/Multicolor-Illustrative-Customer-Journey-Steps-Graph-5-300x225.png 300w, https:\/\/dataarchitects.ai\/wp-content\/uploads\/2024\/01\/Multicolor-Illustrative-Customer-Journey-Steps-Graph-5-768x576.png 768w, https:\/\/dataarchitects.ai\/wp-content\/uploads\/2024\/01\/Multicolor-Illustrative-Customer-Journey-Steps-Graph-5-16x12.png 16w, https:\/\/dataarchitects.ai\/wp-content\/uploads\/2024\/01\/Multicolor-Illustrative-Customer-Journey-Steps-Graph-5.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/center><\/p>\n<p>Customer Journey Suite was created in response to these needs, using one of the three trends of machine learning, the so-called reinforcement learning. It supports personalization of the offer and optimization of campaign activities based on the context of the client and the environment. The tool collects customers' reactions in near real-time, to offer or campaign activities by optimizing the value of the reward, i.e., the value of customer reaction. Journey Optimizer, unlike other solutions available on the market, allows you to optimize not only the value of the immediate reaction, but the entire path of the purchasing process, which makes it so effective.<\/p>\n            <\/div>\n        \n\n    <\/section>\n\n\n\n\n\n\n                    <style id=\"benefits-block_62ecc25e4fdfd-css\">\n            .benefits {\n  background-position: center center;\n  background-size: cover;\n  background-repeat: no-repeat;\n}\n.benefits__heading {\n  grid-row-start: 1;\n  grid-column-start: 2;\n  grid-row-end: 2;\n  grid-column-end: 14;\n}\n@media (min-width: 1280px) {\n  .benefits__heading {\n    grid-row-start: 1;\n    grid-column-start: 3;\n    grid-row-end: 2;\n    grid-column-end: 13;\n  }\n}\n@media (min-width: 1680px) {\n  .benefits__heading {\n    grid-row-start: 1;\n    grid-column-start: 4;\n    grid-row-end: 2;\n    grid-column-end: 12;\n  }\n}\n.benefits__heading * {\n  margin: 0;\n}\n.benefits__subheading {\n  text-align: 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style=\"background-image:url(https:\/\/dataarchitects.ai\/wp-content\/uploads\/2022\/05\/bg.png)\">\n\n                    <div class=\"benefits__heading section-title\">\n                Benefits            <\/div>\n        \n        \n        <div class=\"benefits__wrapper\">\n                                                    <div class=\"benefits__single\">\n                                                    <div class=\"benefits__single-icon\">\n                                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22.336\" height=\"16.403\" viewbox=\"0 0 22.336 16.403\">\n    <path id=\"Path_6249\" data-name=\"Path 6249\" d=\"M22.008,68.325a1.117,1.117,0,0,0-1.579,0L7.049,81.7,1.906,76.562A1.117,1.117,0,0,0,.327,78.141l5.933,5.933a1.117,1.117,0,0,0,1.579,0L22.008,69.9A1.117,1.117,0,0,0,22.008,68.325Z\" transform=\"translate(0.001 -67.997)\" fill=\"#ba326d\"\/>\n<\/svg>\n                            <\/div>\n\n                            <div class=\"benefits__single-heading\">\n                                Use Reinforcement Learning and Journey Optimizer models to increase your conversion rate from your marketing efforts.\u00a0                            <\/div>\n                                            <\/div>\n                                                    <div class=\"benefits__single\">\n                                                    <div class=\"benefits__single-icon\">\n                                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22.336\" height=\"16.403\" viewbox=\"0 0 22.336 16.403\">\n    <path id=\"Path_6249\" data-name=\"Path 6249\" d=\"M22.008,68.325a1.117,1.117,0,0,0-1.579,0L7.049,81.7,1.906,76.562A1.117,1.117,0,0,0,.327,78.141l5.933,5.933a1.117,1.117,0,0,0,1.579,0L22.008,69.9A1.117,1.117,0,0,0,22.008,68.325Z\" transform=\"translate(0.001 -67.997)\" fill=\"#ba326d\"\/>\n<\/svg>\n                            <\/div>\n\n                            <div class=\"benefits__single-heading\">\n                                Personalize offers on the website in \"near real-time\" based on the current situation.\u00a0                            <\/div>\n                                            <\/div>\n                                                    <div class=\"benefits__single\">\n                                                    <div class=\"benefits__single-icon\">\n                                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22.336\" height=\"16.403\" viewbox=\"0 0 22.336 16.403\">\n    <path id=\"Path_6249\" data-name=\"Path 6249\" d=\"M22.008,68.325a1.117,1.117,0,0,0-1.579,0L7.049,81.7,1.906,76.562A1.117,1.117,0,0,0,.327,78.141l5.933,5.933a1.117,1.117,0,0,0,1.579,0L22.008,69.9A1.117,1.117,0,0,0,22.008,68.325Z\" transform=\"translate(0.001 -67.997)\" fill=\"#ba326d\"\/>\n<\/svg>\n                            <\/div>\n\n                            <div class=\"benefits__single-heading\">\n                                Choose products for promotion optimizing your KPIs based on reinforcement learning models.                            <\/div>\n                                            <\/div>\n                                                    <div class=\"benefits__single\">\n                                                    <div class=\"benefits__single-icon\">\n                                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22.336\" height=\"16.403\" viewbox=\"0 0 22.336 16.403\">\n    <path id=\"Path_6249\" data-name=\"Path 6249\" d=\"M22.008,68.325a1.117,1.117,0,0,0-1.579,0L7.049,81.7,1.906,76.562A1.117,1.117,0,0,0,.327,78.141l5.933,5.933a1.117,1.117,0,0,0,1.579,0L22.008,69.9A1.117,1.117,0,0,0,22.008,68.325Z\" transform=\"translate(0.001 -67.997)\" fill=\"#ba326d\"\/>\n<\/svg>\n                            <\/div>\n\n                            <div class=\"benefits__single-heading\">\n                                Verify the impact of the product on the outcome of other products and the overall promotion by testing co-buying or cannibalization.\u00a0                            <\/div>\n                                            <\/div>\n                                                    <div class=\"benefits__single\">\n                                                    <div class=\"benefits__single-icon\">\n                                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22.336\" height=\"16.403\" viewbox=\"0 0 22.336 16.403\">\n    <path id=\"Path_6249\" data-name=\"Path 6249\" d=\"M22.008,68.325a1.117,1.117,0,0,0-1.579,0L7.049,81.7,1.906,76.562A1.117,1.117,0,0,0,.327,78.141l5.933,5.933a1.117,1.117,0,0,0,1.579,0L22.008,69.9A1.117,1.117,0,0,0,22.008,68.325Z\" transform=\"translate(0.001 -67.997)\" fill=\"#ba326d\"\/>\n<\/svg>\n                            <\/div>\n\n                            <div class=\"benefits__single-heading\">\n                                Make near-real-time automated decisions based on customer actions.                            <\/div>\n                                            <\/div>\n                                                    <div class=\"benefits__single\">\n                                                    <div class=\"benefits__single-icon\">\n                                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"22.336\" height=\"16.403\" viewbox=\"0 0 22.336 16.403\">\n    <path id=\"Path_6249\" data-name=\"Path 6249\" d=\"M22.008,68.325a1.117,1.117,0,0,0-1.579,0L7.049,81.7,1.906,76.562A1.117,1.117,0,0,0,.327,78.141l5.933,5.933a1.117,1.117,0,0,0,1.579,0L22.008,69.9A1.117,1.117,0,0,0,22.008,68.325Z\" transform=\"translate(0.001 -67.997)\" fill=\"#ba326d\"\/>\n<\/svg>\n                            <\/div>\n\n                            <div class=\"benefits__single-heading\">\n                                Anticipate customers with a high probability of resignation from the offer and prevent their churn.\u00a0                            <\/div>\n                                            <\/div>\n                    <\/div>\n    <\/section>\n\n\n\n\n\n\n                    <style id=\"cta-block_62ecc28b4fe01-css\">\n            .cta {\n  background-color: #f2f2f2;\n}\n.cta__wrapper {\n  grid-row-start: 1;\n  grid-column-start: 1;\n  grid-row-end: 2;\n  grid-column-end: 15;\n  border-radius: 5px;\n  padding: 2rem var(--col);\n  text-align: center;\n}\n@media (min-width: 1024px) {\n  .cta__wrapper {\n    grid-row-start: 1;\n    grid-column-start: 2;\n    grid-row-end: 2;\n    grid-column-end: 14;\n    padding: 3rem 0;\n    display: flex;\n    justify-content: space-between;\n    align-items: center;\n  }\n}\n@media (min-width: 1280px) {\n  .cta__wrapper {\n    padding: 4rem 0;\n  }\n}\n@media (min-width: 1680px) {\n  .cta__wrapper {\n    grid-row-start: 1;\n    grid-column-start: 3;\n    grid-row-end: 2;\n    grid-column-end: 13;\n    padding: 6rem 0;\n  }\n}\n.cta__content {\n  margin-bottom: 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