{"id":40129,"date":"2024-02-16T06:39:44","date_gmt":"2024-02-16T06:39:44","guid":{"rendered":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/"},"modified":"2026-01-21T12:27:54","modified_gmt":"2026-01-21T12:27:54","slug":"machine-learning-model-development-case-study","status":"publish","type":"post","link":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study","title":{"rendered":"Machine learning for optimized campaign delivery and performance: A Yieldmo case study"},"content":{"rendered":"\n

In a dynamic world where advertising success depends on data-driven decisions, the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution\u2013a scalable, configuration-driven Machine Learning Platform<\/a>. This innovative platform addresses the challenges of Yieldmo’s high-volume, real-time advertising operations, offering configurable ML pipelines, standardized model feature definitions, and a configuration-driven architecture that streamlines the path to production.<\/p>\n\n\n\n

Supported by AWS cloud-based infrastructure<\/a> and H2O Driverless AI, this platform empowers data scientists to develop and deploy ML models efficiently, and a robust model metadata registry ensures accountability and traceability, paving the path for optimized advertisement campaign delivery and performance.<\/p>\n","protected":false},"excerpt":{"rendered":"

Yieldmo and Grid Dynamics created a scalable, configuration-driven ML Platform to address the challenges of high-volume, real-time advertising operations.<\/p>\n","protected":false},"author":103,"featured_media":71575,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[225,18,258,242],"tags":[],"starter_kit_tag":[],"class_list":["post-40129","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-and-ml-platforms","category-case-studies","category-high-tech","category-machine-learning-platforms"],"acf":[],"yoast_head":"\nML for Optimized Campaign Delivery and Performance<\/title>\n<meta name=\"description\" content=\"In a dynamic world the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution: Yieldmo case study\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine learning for optimized campaign delivery and performance: A Yieldmo case study\" \/>\n<meta property=\"og:description\" content=\"In a dynamic world the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution: Yieldmo case study\" \/>\n<meta property=\"og:url\" content=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study\" \/>\n<meta property=\"og:site_name\" content=\"Grid Dynamics\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-16T06:39:44+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-21T12:27:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/Machine-learning-platform-thumbnail-1024x576.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"576\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Dmitry Mezhensky\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dmitry Mezhensky\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"ML for Optimized Campaign Delivery and Performance","description":"In a dynamic world the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution: Yieldmo case study","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study","og_locale":"en_US","og_type":"article","og_title":"Machine learning for optimized campaign delivery and performance: A Yieldmo case study","og_description":"In a dynamic world the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution: Yieldmo case study","og_url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study","og_site_name":"Grid Dynamics","article_published_time":"2024-02-16T06:39:44+00:00","article_modified_time":"2026-01-21T12:27:54+00:00","og_image":[{"width":1024,"height":576,"url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/Machine-learning-platform-thumbnail-1024x576.jpg","type":"image\/jpeg"}],"author":"Dmitry Mezhensky","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Dmitry Mezhensky","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#article","isPartOf":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study"},"author":{"name":"Dmitry Mezhensky","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#\/schema\/person\/e12e66db4925524135888aea2e3d12eb"},"headline":"Machine learning for optimized campaign delivery and performance: A Yieldmo case study","datePublished":"2024-02-16T06:39:44+00:00","dateModified":"2026-01-21T12:27:54+00:00","mainEntityOfPage":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study"},"wordCount":121,"commentCount":0,"publisher":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#organization"},"image":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#primaryimage"},"thumbnailUrl":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover.webp","articleSection":["AI and data platforms","Case Studies","High-tech","Machine Learning platforms"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#respond"]}]},{"@type":"WebPage","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study","name":"ML for Optimized Campaign Delivery and Performance","isPartOf":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#primaryimage"},"image":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#primaryimage"},"thumbnailUrl":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover.webp","datePublished":"2024-02-16T06:39:44+00:00","dateModified":"2026-01-21T12:27:54+00:00","description":"In a dynamic world the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution: Yieldmo case study","breadcrumb":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#primaryimage","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover.webp","contentUrl":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover.webp","width":1275,"height":1650,"caption":"A scalable configuration-driven Machine Learning Platform case study cover"},{"@type":"BreadcrumbList","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/blog\/machine-learning-model-development-case-study#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/"},{"@type":"ListItem","position":2,"name":"Machine learning for optimized campaign delivery and performance: A Yieldmo case study"}]},{"@type":"WebSite","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#website","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/","name":"Grid Dynamics","description":"","publisher":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#organization","name":"Grid Dynamics","alternateName":"Grid Dynamics Holdings, Inc.","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#\/schema\/logo\/image\/","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2023\/10\/share-logo.png","contentUrl":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2023\/10\/share-logo.png","width":720,"height":360,"caption":"Grid Dynamics"},"image":{"@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#\/schema\/person\/e12e66db4925524135888aea2e3d12eb","name":"Dmitry Mezhensky","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/#\/schema\/person\/image\/","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2025\/04\/Dmitry-Mezhensky-150x150.webp","contentUrl":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2025\/04\/Dmitry-Mezhensky-150x150.webp","caption":"Dmitry Mezhensky"},"description":"Dmitry Mezhensky joined Grid Dynamics in 2014 and has worked on various Big Data projects since. One of the major projects, iCrossing, was a huge success as we built a high-performing Big Data platform. Dmitry is currently on-site at a large retailer.","jobTitle":"Director of Big Data and ML Engineering","url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/author\/dmitry-mezhensky"}]}},"uagb_featured_image_src":{"full":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover.webp",1275,1650,false],"thumbnail":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover-150x150.webp",150,150,true],"medium":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover-232x300.webp",232,300,true],"medium_large":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover-768x994.webp",768,994,true],"large":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover-791x1024.webp",791,1024,true],"1536x1536":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover-1187x1536.webp",1187,1536,true],"2048x2048":["https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-content\/uploads\/2024\/02\/machine-learning-platform-case-study-cover.webp",1275,1650,false]},"uagb_author_info":{"display_name":"Dmitry Mezhensky","author_link":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/author\/dmitry-mezhensky"},"uagb_comment_info":0,"uagb_excerpt":"Yieldmo and Grid Dynamics created a scalable, configuration-driven ML Platform to address the challenges of high-volume, real-time advertising operations.","ai_search_data":{"is_excluded_from_search":false,"custom_thumbnail":"","custom_title":"","custom_label":"","content_type":"Case Studies"},"_links":{"self":[{"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/posts\/40129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/users\/103"}],"replies":[{"embeddable":true,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/comments?post=40129"}],"version-history":[{"count":8,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/posts\/40129\/revisions"}],"predecessor-version":[{"id":71577,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/posts\/40129\/revisions\/71577"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/media\/71575"}],"wp:attachment":[{"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/media?parent=40129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/categories?post=40129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/tags?post=40129"},{"taxonomy":"starter_kit_tag","embeddable":true,"href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.griddynamics.com\/wp-json\/wp\/v2\/starter_kit_tag?post=40129"}],"curies":[{"name":"wp","href":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/api.w.org\/{rel}","templated":true}]}}