{"id":158117,"date":"2026-02-09T14:26:15","date_gmt":"2026-02-09T19:26:15","guid":{"rendered":"https:\/\/www.dacgroup.com\/services\/segmentation\/data-segmentation-clustering\/"},"modified":"2026-02-10T12:43:03","modified_gmt":"2026-02-10T17:43:03","slug":"data-segmentation-clustering","status":"publish","type":"services","link":"https:\/\/www.dacgroup.com\/en-gb\/services\/proove\/segmentation\/data-segmentation-clustering\/","title":{"rendered":"Data\u00a0segmentation\u00a0and\u00a0clustering\u00a0"},"content":{"rendered":"\n\n    <style>\n        #hero-internal {\n            background-image: url('https:\/\/www.dacgroup.com\/wp-content\/uploads\/2026\/02\/Hero-D-Data-Segmentation.png');\n            height: 720px !important;\n        }\n\n                @media (min-width: 2000px) {\n            #hero-internal {\n                background-image: url('https:\/\/www.dacgroup.com\/wp-content\/uploads\/2026\/02\/Hero-D-Data-Segmentation-XL.png');\n                height: 720px !important;\n            }\n        }\n        \n\n                @media screen and (max-width: 991px) {\n            #hero-internal {\n                background-image: url('https:\/\/www.dacgroup.com\/wp-content\/uploads\/2026\/02\/Hero-M-Data-Segmentation.png');\n                height: 233px !important;\n            }\n        }\n\n            <\/style>\n\n\n<section id=\"hero-internal\" class=\"noWords background-image\"\n         data-desktoph=\"720px\" data-mobileh=\"233px\">\n\n            <nav class=\"breadcrumb container max-1448 padding60 desktop-only \">\n            <a href=\"https:\/\/www.dacgroup.com\/en-gb\/\">DAC<\/a><img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/themes\/dac\/img\/chevron-right-white.svg\" alt=\"\" aria-hidden=\"true\"><a class=\"text-capitalize\" href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/\">Services<\/a><img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/themes\/dac\/img\/chevron-right-white.svg\" alt=\"\" aria-hidden=\"true\"><a class=\"text-capitalize\" href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/proove\/\">Proove<\/a><img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/themes\/dac\/img\/chevron-right-white.svg\" alt=\"\" aria-hidden=\"true\"><a class=\"text-capitalize\" href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/proove\/segmentation\/\">Segmentation<\/a>        <\/nav>\n    \n    \n    <div class=\"container max-1448 padding60 hero-internal-content-block\"\n         style=\"text-align:left;align-items:start\">\n\n                            <h1 style=\"color:#eff9fe;\">\n                Data segmentation and clustering             <\/h1>\n        \n                    <div class=\"description\" style=\"color:#eff9fe;\">\n                <p><span class=\"TextRun SCXW23205663 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW23205663 BCX0\">Instead of starting with assumptions, we let the data speak<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\"> with segme<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\">ntation and clustering solutions<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\"> that<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\"> uncover natural patterns and groupings\u2014<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\">empowering you to execute <\/span><span class=\"NormalTextRun SCXW23205663 BCX0\">with precision.<\/span><\/span><span class=\"EOP SCXW23205663 BCX0\" data-ccp-props=\"{\"335559685\":1440,\"335559991\":1440}\"> <\/span><\/p>            <\/div>\n                    \n        <div class=\"cta-container-row\">\n           \n                        <div class=\"  \" data-role=\"cta\">\n\n                                                <a role=\"button\" href='https:\/\/www.dacgroup.com\/en-gb\/contact\/' class=\"btn_primary-filled_white_hand  \" target=\"_blank\" >\n                        \n                        <div>LET\u2019S TALK DATA SEGMENTATION <\/div>\n\n                        \n                                \n                                        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\">\n                                            <g clip-path=\"url(#clip0_2625_299)\">\n                                                <rect width=\"24\" height=\"24\" \/>\n                                                <path d=\"M21.7073 14.8912C21.6071 15.0021 21.4862 15.092 21.3517 15.1553C19.9543 15.7739 16.2814 17.4092 12.3524 19.2435C10.9313 19.9218 9.44711 20.454 7.92204 20.8317C6.90068 21.072 5.83695 21.0548 4.82359 20.7811C3.81023 20.5073 2.87806 19.9857 2.10855 19.2616C1.36839 18.5696 0.795336 17.7128 0.434438 16.7583C0.0735402 15.8038 -0.0654262 14.7769 0.0285021 13.7588L1.0952 2.9341C1.14142 2.46498 1.3752 2.03566 1.74173 1.74683C2.10826 1.4583 2.57494 1.3353 3.03302 1.40705C3.45703 1.47428 3.83986 1.70311 4.10416 2.04711C4.36817 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            <\/a>\n                    \n                <\/div>\n                                <\/div>\n \n    <\/div>\n<\/section>\n\n\n    <div class=\"responsive-hero-footer mobile-only\">\n                    <nav class=\"breadcrumb container max-1448 padding60 mobile-only\">\n                <a href=\"https:\/\/www.dacgroup.com\/en-gb\/\">DAC<\/a><img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/themes\/dac\/img\/chevron-right-white.svg\" alt=\"\" aria-hidden=\"true\"><a class=\"text-capitalize\" href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/\">Services<\/a><img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/themes\/dac\/img\/chevron-right-white.svg\" alt=\"\" aria-hidden=\"true\"><a class=\"text-capitalize\" href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/proove\/\">Proove<\/a><img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/themes\/dac\/img\/chevron-right-white.svg\" alt=\"\" aria-hidden=\"true\"><a class=\"text-capitalize\" href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/proove\/segmentation\/\">Segmentation<\/a>            <\/nav>\n        \n        \n                    <h1 style=\"color:#eff9fe; \" class=\"mt-0\">\n                Data segmentation and clustering             <\/h1>\n        \n                    <div class=\"description\" style=\"color:#eff9fe;\">\n                <p><span class=\"TextRun SCXW23205663 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW23205663 BCX0\">Instead of starting with assumptions, we let the data speak<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\"> with segme<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\">ntation and clustering solutions<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\"> that<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\"> uncover natural patterns and groupings\u2014<\/span><span class=\"NormalTextRun SCXW23205663 BCX0\">empowering you to execute <\/span><span class=\"NormalTextRun SCXW23205663 BCX0\">with precision.<\/span><\/span><span class=\"EOP SCXW23205663 BCX0\" data-ccp-props=\"{\"335559685\":1440,\"335559991\":1440}\"> <\/span><\/p>            <\/div>\n        \n\n        <div class=\"cta-container-row mobile\">\n           \n                        <div class=\"  \" data-role=\"cta\">\n\n                                                <a role=\"button\" href='https:\/\/www.dacgroup.com\/en-gb\/contact\/' class=\"btn_primary-filled_white_hand  \" target=\"_blank\" >\n                        \n                        <div>LET\u2019S TALK DATA SEGMENTATION <\/div>\n\n                        \n                                \n                                        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\">\n                                            <g clip-path=\"url(#clip0_2625_299)\">\n                                                <rect width=\"24\" 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14.5565 21.8442 14.741 21.7079 14.8903L21.7073 14.8912Z\" \/>\n                                            <\/g>\n                                            <defs>\n                                                <clipPath id=\"clip0_2625_299\">\n                                                    <rect width=\"24\" height=\"24\" \/>\n                                                <\/clipPath>\n                                            <\/defs>\n                                        <\/svg>\n\n                                \n\n                        \n                                                    <\/a>\n                    \n                <\/div>\n            \n                        <\/div>\n    <\/div>\n\n\n\n\n<section id=\"block_c74aa04e074d763383c6c05dfe5dc450\" class=\"section-header-block\">\n    <div class=\"proove-container\">\n        \n        <h2 class=\"section-header-block__title section-header-block__title--desktop-center section-header-block__title--mobile-left\">\n                            Impose                                     <span class=\"section-header-block__accent\">structure and &lt;br&gt; meaning <\/span>\n                                on scattered data                     <\/h2>\n\n                    <p class=\"section-header-block__description section-header-block__description--desktop-center section-header-block__description--mobile-left\">Clustering isn\u2019t just about personas\u2014it\u2019s about clarity. At Proove, we use data segmentation to surface meaningful structure in high-volume, high-variety datasets. Whether you&#8217;re analyzing product sets, conversion paths, or campaign performance, our approach streamlines modeling, informs automation, and drives better decisions across your stack. <\/p>\n        \n            <\/div>\n<\/section>\n\n\n\n<section id=\"block_1206504e7b0441a63151e87ffd06c353\" class=\"proove-grid-block proove-grid-block--items-6\">\n    <div class=\"container-grid\">\n        <div class=\"proove-grid-block__grid\">\n                            <article class=\"proove-grid-block__item proove-grid-block__item--card\" style=\"background-color: rgb(23,87,206); border: 1px solid rgb(0,123,180)\">\n                                        \n                                            <div class=\"proove-grid-block__content\">\n                                                            <span class=\"proove-grid-block__number\">01<\/span>\n                                                        \n                            <div class=\"proove-grid-block__text-wrapper\">\n                                                                    <h3 class=\"proove-grid-block__title\">Simplify complex data <\/h3>\n                                                                \n                                                                    <p class=\"proove-grid-block__copy\">Bring clarity to high-volume, high-variety datasets across channels, tools, and teams. <\/p>\n                                                            <\/div>\n                        <\/div>\n                                    <\/article>\n                            <article class=\"proove-grid-block__item proove-grid-block__item--with-bg with-image-1\" style=\"border: 1px solid rgb(0,170,231)\">\n                                            <div role=\"img\" alt=\"A chart plotting colored dots into clusters that outlined by large circles, representing the discipline of data segmentation and clustering.\"  aria-label=\"A chart plotting colored dots into clusters that outlined by large circles, representing the discipline of data segmentation and clustering.\" class=\"proove-grid-block__bg-image\" style=\"background-image: url('https:\/\/www.dacgroup.com\/wp-content\/uploads\/2026\/02\/Rectangle-309-1.png');\" role=\"img\" aria-label=\"A chart plotting colored dots into clusters that outlined by large circles, representing the discipline of data segmentation and clustering.\"><\/div>\n                                        \n                                    <\/article>\n                            <article class=\"proove-grid-block__item proove-grid-block__item--card\" style=\"background-color: rgb(34,55,131); border: 1px solid rgb(0,170,231)\">\n                                        \n                                            <div class=\"proove-grid-block__content\">\n                                                            <span class=\"proove-grid-block__number\">02<\/span>\n                                                        \n                            <div class=\"proove-grid-block__text-wrapper\">\n                                                                    <h3 class=\"proove-grid-block__title\">Accelerate modeling and analysis <\/h3>\n                                                                \n                                                                    <p class=\"proove-grid-block__copy\">Feed cleaner, clustered data into downstream models for improved performance and interpretability.<\/p>\n                                                            <\/div>\n                        <\/div>\n                                    <\/article>\n                            <article class=\"proove-grid-block__item proove-grid-block__item--with-bg with-image-2\" style=\"border: 1px solid rgb(0,170,231)\">\n                                            <div role=\"img\" alt=\"A hand manipulating a series of floating, augmented reality charts.\"  aria-label=\"A hand manipulating a series of floating, augmented reality charts.\" class=\"proove-grid-block__bg-image\" style=\"background-image: url('https:\/\/www.dacgroup.com\/wp-content\/uploads\/2026\/02\/c5a9a9570ee2756aed4998704db7068cfe13a5f1.jpg');\" role=\"img\" aria-label=\"A hand manipulating a series of floating, augmented reality charts.\"><\/div>\n                                        \n                                    <\/article>\n                            <article class=\"proove-grid-block__item proove-grid-block__item--card\" style=\"border: 1px solid rgb(0,170,231)\">\n                                        \n                                            <div class=\"proove-grid-block__content\">\n                                                            <span class=\"proove-grid-block__number\">03<\/span>\n                                                        \n                            <div class=\"proove-grid-block__text-wrapper\">\n                                                                    <h3 class=\"proove-grid-block__title\">Fuel automation and personalization <\/h3>\n                                                                \n                                                                    <p class=\"proove-grid-block__copy\">Enable rules-based or AI-driven systems to act on segmented behaviors, geographies, or content types. <\/p>\n                                                            <\/div>\n                        <\/div>\n                                    <\/article>\n                            <article class=\"proove-grid-block__item proove-grid-block__item--card\" style=\"background-color: rgb(23,87,206); border: 1px solid rgb(0,170,231)\">\n                                        \n                                            <div class=\"proove-grid-block__content\">\n                                                            <span class=\"proove-grid-block__number\">04<\/span>\n                                                        \n                            <div class=\"proove-grid-block__text-wrapper\">\n                                                                    <h3 class=\"proove-grid-block__title\">Reveal strategic opportunities <\/h3>\n                                                                \n                                                                    <p class=\"proove-grid-block__copy\">Uncover hidden groupings and anomalies that lead to smarter targeting, resource allocation, and innovation. <\/p>\n                                                            <\/div>\n                        <\/div>\n                                    <\/article>\n                    <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section id=\"services\" class=\"text-accordion-block\">\n    <div class=\"overlay\"><\/div>\n\n    <div class=\"container max-1448 padding60\">\n        \n        <div>\n            <h2>Techniques that translate to results <\/h2>\n\n                        <div class=\"large-description\"><p><span class=\"TextRun SCXW203081614 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW203081614 BCX0\">We apply advanced statistical and machine learning methods to help you organize, simplify, and activate your data. From unsupervised<\/span><span class=\"NormalTextRun SCXW203081614 BCX0\"> data<\/span><span class=\"NormalTextRun SCXW203081614 BCX0\"> clustering to dimensionality reduction, these techniques unlock structure and insight from even the most complex datasets.<\/span><\/span><span class=\"EOP SCXW203081614 BCX0\" data-ccp-props=\"{\"335559685\":1440,\"335559991\":1440}\"> <\/span><\/p><\/div>\n\n                        <a href=\"https:\/\/www.dacgroup.com\/en-gb\/contact\/\" class=\"btn_primary-filled_white_hand\" target=\"_blank\">\n                <div>LET\u2019S TALK DATA SEGMENTATION <\/div>\n                <svg width=\"24\" height=\"16\" viewBox=\"0 0 24 16\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path d=\"M19.7303 8.96285L14.8759 14.2138C14.5429 14.5741 14.5429 15.1299 14.876 15.4901C15.2481 15.8925 15.8842 15.8925 16.2563 15.49L23.1809 8L16.2563 0.509971C15.8842 0.107507 15.2481 0.10747 14.876 0.509891C14.5429 0.870102 14.5429 1.42591 14.8759 1.78616L19.7303 7.03692H0.962963C0.431133 7.03692 0 7.46806 0 7.99988C0 8.53171 0.431133 8.96285 0.962963 8.96285H19.7303Z\" fill=\"#171616\"><\/path>\n                    <path d=\"M19.7303 8.96285L14.8759 14.2138C14.5429 14.5741 14.5429 15.1299 14.876 15.4901C15.2481 15.8925 15.8842 15.8925 16.2563 15.49L23.1809 8L16.2563 0.509971C15.8842 0.107507 15.2481 0.10747 14.876 0.509891C14.5429 0.870102 14.5429 1.42591 14.8759 1.78616L19.7303 7.03692H0.962963C0.431133 7.03692 0 7.46806 0 7.99988C0 8.53171 0.431133 8.96285 0.962963 8.96285H19.7303Z\" fill=\"black\" fill-opacity=\"0.2\"><\/path>\n                    <path d=\"M19.7303 8.96285L14.8759 14.2138C14.5429 14.5741 14.5429 15.1299 14.876 15.4901C15.2481 15.8925 15.8842 15.8925 16.2563 15.49L23.1809 8L16.2563 0.509971C15.8842 0.107507 15.2481 0.10747 14.876 0.509891C14.5429 0.870102 14.5429 1.42591 14.8759 1.78616L19.7303 7.03692H0.962963C0.431133 7.03692 0 7.46806 0 7.99988C0 8.53171 0.431133 8.96285 0.962963 8.96285H19.7303Z\" fill=\"#171616\"><\/path>\n                <\/svg>\n            <\/a>\n                    <\/div>\n\n        <div>\n            <div class=\"accordion services-loop\" id=\"services-home-accordion\">\n                                    <div class=\"accordion-item\">\n                        <h3 class=\"accordion-header\" id=\"heading-1\">\n                            <button class=\"pe-3 accordion-button \" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#collapse-1\" aria-expanded=\"true\" aria-controls=\"collapse-1\">\n                                <span class=\"d-inline-block\" style=\"padding-right:16px;\">\n                                    Unsupervised learning models                                 <\/span>\n                            <\/button>\n                        <\/h3>\n                        <div id=\"collapse-1\" class=\"accordion-collapse show\" aria-labelledby=\"heading-1\" data-bs-parent=\"#services-home-accordion\">\n                            <div class=\"accordion-body ps-3 ms-1 ps-lg-0 ms-lg-0\">\n                                We apply clustering algorithms like k-means, DBSCAN, and hierarchical models to reveal natural groupings within your data\u2014without pre-labeling or assumptions\u2014so you can build segments that actually reflect behavior.                             <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-item\">\n                        <h3 class=\"accordion-header\" id=\"heading-2\">\n                            <button class=\"pe-3 accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#collapse-2\" aria-expanded=\"false\" aria-controls=\"collapse-2\">\n                                <span class=\"d-inline-block\" style=\"padding-right:16px;\">\n                                    Multi-set clustering                                 <\/span>\n                            <\/button>\n                        <\/h3>\n                        <div id=\"collapse-2\" class=\"accordion-collapse collapse\" aria-labelledby=\"heading-2\" data-bs-parent=\"#services-home-accordion\">\n                            <div class=\"accordion-body ps-3 ms-1 ps-lg-0 ms-lg-0\">\n                                When your audience interacts across multiple domains or datasets, we connect and cluster them across environments, revealing patterns across content, products, time, or business units.                             <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-item\">\n                        <h3 class=\"accordion-header\" id=\"heading-3\">\n                            <button class=\"pe-3 accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#collapse-3\" aria-expanded=\"false\" aria-controls=\"collapse-3\">\n                                <span class=\"d-inline-block\" style=\"padding-right:16px;\">\n                                    Dimensionality reduction and noise filtering                                 <\/span>\n                            <\/button>\n                        <\/h3>\n                        <div id=\"collapse-3\" class=\"accordion-collapse collapse\" aria-labelledby=\"heading-3\" data-bs-parent=\"#services-home-accordion\">\n                            <div class=\"accordion-body ps-3 ms-1 ps-lg-0 ms-lg-0\">\n                                High-dimensional datasets often include redundant or irrelevant features that cloud insight and hinder performance. We apply techniques like principal component analysis (PCA) and t-SNE to compress data into its most meaningful components\u2014removing noise, highlighting key drivers, and improving downstream model performance and interpretability.                             <\/div>\n                        <\/div>\n                    <\/div>\n                                    <div class=\"accordion-item\">\n                        <h3 class=\"accordion-header\" id=\"heading-4\">\n                            <button class=\"pe-3 accordion-button collapsed\" type=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#collapse-4\" aria-expanded=\"false\" aria-controls=\"collapse-4\">\n                                <span class=\"d-inline-block\" style=\"padding-right:16px;\">\n                                    Cross-platform normalization                                 <\/span>\n                            <\/button>\n                        <\/h3>\n                        <div id=\"collapse-4\" class=\"accordion-collapse collapse\" aria-labelledby=\"heading-4\" data-bs-parent=\"#services-home-accordion\">\n                            <div class=\"accordion-body ps-3 ms-1 ps-lg-0 ms-lg-0\">\n                                Disparate platforms track user behavior in different ways, often leading to fragmented or inconsistent inputs. We normalize structure, scale, and taxonomy across datasets to ensure clusters reflect true user behavior, leading to accurate segmentation across channels, devices, and environments.                             <\/div>\n                        <\/div>\n                    <\/div>\n                            <\/div>\n        <\/div>\n\n    <\/div>\n<\/section>\n\n\n<section id=\"services\" class=\"text-services\">\n\n    <div class=\"container max-1448 padding60\">\n\n        <div class=\"left-column\">\n            <h2>Seamlessly integrated for impact<\/h2>\n            <p>Segmentation is most valuable when it flows directly into execution. That\u2019s why we embed clustering outputs into DAC\u2019s broader media, content, and personalization strategies\u2014so the insights you uncover translate into better targeting, stronger creative, and more effective optimization. <\/p>\n        <\/div>\n\n        <div class=\"right-column\">\n            <h3>AMPLIFY PERFORMANCE WITH&#8230;<\/h3>\n            <ul class=\"services-list\">\n                                                            <li  >\n                            \n                                <a href=\"https:\/\/www.dacgroup.com\/en-gb\/services\/proove\/segmentation\/customer-segmentation-personalization\/\" class='position-relative d-inline-flex full_funnel_media'  target=\"_self\">Customer Segmentation and Personalization<\/a>                                                    <\/li>\n                                            <li  >\n                            \n                                <a 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BCX0\">Break down the myths of MMM and get ahead of the curve with our exclusive (and free!) white paper.\u202f<\/span><\/span><span class=\"EOP SCXW1577720 BCX0\" data-ccp-props=\"{\"335559685\":2160,\"469777462\":[720,2160],\"469777927\":[0,0],\"469777928\":[0,8]}\"> <\/span><\/li><\/ul><\/p>\n\n                                    <a href=\"https:\/\/info.dacgroup.com\/mmm-whitepaper?_ga=2.111594436.1366360211.1725987419-1123329267.1724086799\" class=\"btn_primary-filled_black_arrow\" target=\"_blank\">\n                        <div>DOWNLOAD the WHITE PAPER<\/div>\n                        <svg width=\"24\" height=\"16\" viewBox=\"0 0 24 16\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                            <path d=\"M19.7303 8.96285L14.8759 14.2138C14.5429 14.5741 14.5429 15.1299 14.876 15.4901C15.2481 15.8925 15.8842 15.8925 16.2563 15.49L23.1809 8L16.2563 0.509971C15.8842 0.107507 15.2481 0.10747 14.876 0.509891C14.5429 0.870102 14.5429 1.42591 14.8759 1.78616L19.7303 7.03692H0.962963C0.431133 7.03692 0 7.46806 0 7.99988C0 8.53171 0.431133 8.96285 0.962963 8.96285H19.7303Z\" fill=\"#171616\"><\/path>\n                            <path d=\"M19.7303 8.96285L14.8759 14.2138C14.5429 14.5741 14.5429 15.1299 14.876 15.4901C15.2481 15.8925 15.8842 15.8925 16.2563 15.49L23.1809 8L16.2563 0.509971C15.8842 0.107507 15.2481 0.10747 14.876 0.509891C14.5429 0.870102 14.5429 1.42591 14.8759 1.78616L19.7303 7.03692H0.962963C0.431133 7.03692 0 7.46806 0 7.99988C0 8.53171 0.431133 8.96285 0.962963 8.96285H19.7303Z\" fill=\"black\" fill-opacity=\"0.2\"><\/path>\n                            <path d=\"M19.7303 8.96285L14.8759 14.2138C14.5429 14.5741 14.5429 15.1299 14.876 15.4901C15.2481 15.8925 15.8842 15.8925 16.2563 15.49L23.1809 8L16.2563 0.509971C15.8842 0.107507 15.2481 0.10747 14.876 0.509891C14.5429 0.870102 14.5429 1.42591 14.8759 1.78616L19.7303 7.03692H0.962963C0.431133 7.03692 0 7.46806 0 7.99988C0 8.53171 0.431133 8.96285 0.962963 8.96285H19.7303Z\" fill=\"black\" fill-opacity=\"0.2\"><\/path>\n                        <\/svg>\n                    <\/a>\n                \n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n<section id=\"block_4a08cdf4d66845a0c57072008294bb5b\" class=\"proove-blog-snippets\">\n    <div class=\"container proove-blog-snippets__container\">\n                    <div class=\"proove-blog-snippets__item\">\n                <div class=\"proove-blog-snippets__image\">\n                    <a href=\"https:\/\/www.dacgroup.com\/en-gb\/insights\/blog\/strategy\/attribution-reimagined-probabilistic-methods-in-privacy-first-marketing-2\/\" aria-label=\"Attribution reimagined: Probabilistic methods in privacy-first marketing\" target=\"_blank\" rel=\"noopener noreferrer\">\n                        <img decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/uploads\/2024\/12\/hands-300x150.jpg\" alt=\"Group of people doing a fist bump over a table with 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decoding=\"async\" src=\"https:\/\/www.dacgroup.com\/wp-content\/uploads\/2025\/04\/Incrementality-in-Analytics-Breakthrough-Strategy-or-Marketing-Jargon-_-blog-banner-300x150.png\" alt=\"Incrementality in analytics: Breakthrough strategy or marketing jargon?\" \/>\n                    <\/a>\n                <\/div>\n                <p class=\"proove-blog-snippets__title\">\n                    <a href=\"https:\/\/www.dacgroup.com\/en-gb\/insights\/blog\/analytics\/incrementality-in-analytics-breakthrough-strategy-or-marketing-jargon\/\" target=\"_blank\" rel=\"noopener noreferrer\">\n                        Incrementality in analytics: Breakthrough strategy or marketing jargon?                    <\/a>\n                <\/p>\n            <\/div>\n            <\/div>\n<\/section>\n\n\n\n\n<section id=\"block_9f6dc2a28c946b6d752722f7d75f67ed\" class=\"section-header-block\">\n    <div class=\"proove-container\">\n        \n        <h2 class=\"section-header-block__title 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