{"id":1580,"date":"2015-01-30T11:14:44","date_gmt":"2015-01-30T11:14:44","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/?page_id=1580"},"modified":"2026-01-23T13:38:24","modified_gmt":"2026-01-23T12:38:24","slug":"consumer-styles","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/en\/consumer-styles\/","title":{"rendered":"CONSUMER STYLES"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull\" style=\"min-height:290px;aspect-ratio:unset;\"><img decoding=\"async\" class=\"wp-block-cover__image-background wp-image-14241\" alt=\"A woman on the stairs of a shopping mall represents one of MBI's Consumer Styles.\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/12\/freestocks-yqBKaF1KecM-unsplash.jpg\" style=\"object-position:29% 38%\" data-object-fit=\"cover\" data-object-position=\"29% 38%\"\/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-60 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-44b7b8a ugb-main-block\"><style>.ugb-44b7b8a .ugb-heading__title{font-size:40px !important;text-transform:uppercase !important;text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h1 class=\"ugb-heading__title\">Consumer Styles<\/h1><\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<header class=\"wp-block-mbi-blocks-heading wp-block-mbi-blocks-heading_layout_xl\"><h2 class=\"wp-block-mbi-blocks-heading__heading\">GLOBAL MARKET SEGMENTATION AND DETERMINATION OF TARGET GROUPS<\/h2><\/header>\n\n\n\n<header class=\"wp-block-mbi-blocks-heading wp-block-mbi-blocks-heading_layout_m\"><h3 class=\"wp-block-mbi-blocks-heading__heading\">WHAT ARE CONSUMER STYLES?<\/h3><\/header>\n\n\n\n<div class=\"wp-block-ugb-columns ugb-columns ugb-2513f2d ugb-columns--design-plain ugb-columns--columns-2 ugb-main-block\"><style>.ugb-2513f2d > .ugb-inner-block > .ugb-block-content > .ugb-columns__item{grid-template-columns:1.40fr 0.60fr !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-2513f2d-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-7d5b6e7 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-7d5b6e7-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<p>The data<em>&nbsp;<\/em><strong>Global Consumer Styles<\/strong> is an innovative model for market segmentation and determination of target groups. Our segmentation approach has 10 internationally comparable&nbsp;consumer groups based on the characteristics of the population. It helps companies identify which consumer types are using their products and where these consumers are most likely to be found. This is an alternative to the socio-demographics and purchasing power as when collecting data for the consumer styles the key focus is on the people and their interests and lifestyles. This approach makes use of&nbsp;the principle that people&nbsp;with similar backgrounds and ages normally settle down in the same neighborhood. Consumer Styles are&nbsp;currently available for more than 50 countries in five continents.<\/p>\n\n\n<script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\nvar gform;gform||(document.addEventListener(\"gform_main_scripts_loaded\",function(){gform.scriptsLoaded=!0}),document.addEventListener(\"gform\/theme\/scripts_loaded\",function(){gform.themeScriptsLoaded=!0}),window.addEventListener(\"DOMContentLoaded\",function(){gform.domLoaded=!0}),gform={domLoaded:!1,scriptsLoaded:!1,themeScriptsLoaded:!1,isFormEditor:()=>\"function\"==typeof InitializeEditor,callIfLoaded:function(o){return!(!gform.domLoaded||!gform.scriptsLoaded||!gform.themeScriptsLoaded&&!gform.isFormEditor()||(gform.isFormEditor()&&console.warn(\"The use of gform.initializeOnLoaded() is deprecated in the form editor context and will be removed in Gravity Forms 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is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-7e5fce0a wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/02\/MBI_Consumer-Styles.pdf\">Download Flyer<\/a><\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<header class=\"wp-block-mbi-blocks-heading wp-block-mbi-blocks-heading_layout_m\"><h3 class=\"wp-block-mbi-blocks-heading__heading\">WHICH CONSUMER STYLES ARE MOST FREQUENT AND WHERE?<\/h3><\/header>\n\n\n\n<p>The data shows for these countries the most prominent Consumer Style&nbsp;within an area.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Where do the Apple and Android-users live?<\/li>\n\n\n\n<li>Why do people drive a SAAB even though they could afford a Porsche?<\/li>\n\n\n\n<li>Who prefers to buy in a store instead of online shopping?<\/li>\n\n\n\n<li>Who only buys brand names?<\/li>\n\n\n\n<li>Where do people live who like buying sport products, clocks and jewelry?<\/li>\n\n\n\n<li>Who is interested in further education?<\/li>\n\n\n\n<li>Where do the leisure-oriented people live?<\/li>\n\n\n\n<li>Etc.<\/li>\n<\/ul>\n\n\n\n<header class=\"wp-block-mbi-blocks-heading wp-block-mbi-blocks-heading_layout_m\"><h3 class=\"wp-block-mbi-blocks-heading__heading\">WHAT IS THE BASIS OF THE CONSUMER STYLES?<\/h3><\/header>\n\n\n\n<div class=\"wp-block-ugb-text ugb-text ugb-75cef4f ugb-text--design-plain ugb-text--columns-2 ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-text__text-wrapper\"><div class=\"ugb-text__text\"><p class=\"ugb-text__text-1\">The data <strong>Global Consumer Styles<\/strong>&nbsp;is created by our experts on the basis of various segmenting criterions identified&nbsp;and validated in detail in extensive research on international level. The criterions include sociodemographics, value orientations, mindset, attitudes and motivations, consumer behavior and consumption volume.<br><br>The data are based on a representative global survey of around 16,000 consumers. The results were used to identify relatively homogeneous population groups with different characteristics and purchasing behavior.<\/p><\/div><div class=\"ugb-text__text\"><p class=\"ugb-text__text-2\">These are condensed across countries into 10 different \u201cConsumer Styles\u201d. The result is a consistent and internationally comparable database for global market segmentation.<br><br>Consumer Styles are flexible and can be customized to suit specific customer requirements. For example, specific consumer brand preferences (e.g. preferred car brand) or even behavioral characteristics (e.g. social media consumption).<br><\/p><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<header class=\"wp-block-mbi-blocks-heading wp-block-mbi-blocks-heading_layout_l\"><h2 class=\"wp-block-mbi-blocks-heading__heading\">GLOBAL CONSUMER STYLES &#8211; 10 INTERNATIONALLY VALIDATED CONSUMER STYLES<\/h2><\/header>\n\n\n<p><div class=\"accordion\"><h3 class=\"accordion-title\">Type A - High Earning Urban Professionals<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2032\"=\"\"><img decoding=\"async\" class=\"alignnone size-large wp-image-2032\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypA-1024x345.jpg\" alt=\"Global Consumer Styles Type A\" width=\"698\" height=\"235\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypA-1024x345.jpg 1024w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypA-300x101.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypA-768x259.jpg 768w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypA-88x30.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypA.jpg 1320w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><br \/>\nConsumers in this segment show the highest per-capita income of all segments. They live almost all in single or multi-person households without children. They are employees, mainly in a managerial position or self-employed and have far above average or higher education. Regarding the willingness to spend for product groups such as clothing, this segment is a leader. They live mainly in metropolitan areas and large cities. Regarding smartphones, other than in most other segments, Apple is preferred to Samsung.<\/div><\/div><\/rel=\"attachment><\/p>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type B - Comfortably Off Empty Nesters<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2033\"><img decoding=\"async\" class=\"alignnone size-large wp-image-2033\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypB-1024x345.jpg\" alt=\"MBI Global Consumer Styles Type B\" width=\"698\" height=\"235\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypB-1024x345.jpg 1024w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypB-300x101.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypB-768x259.jpg 768w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypB-88x30.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypB.jpg 1320w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><br \/>\nThe consumers in this segment are almost all in the second half of life and live in households without children. In shopping, they value quality and well-known brands. They also have favorite brands and shops and are able to keep track of a wide range of products and services offered; they prefer Brick and Mortar instead of online. Their per-capita income is significantly above average.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type C - Modern and Pragmatic Over-50s<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2034\"><img decoding=\"async\" class=\"alignnone size-large wp-image-2034\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypC-1024x345.jpg\" alt=\"MBI Global Consumer Styles Type C\" width=\"698\" height=\"235\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypC-1024x345.jpg 1024w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypC-300x101.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypC-768x259.jpg 768w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypC-88x30.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypC.jpg 1320w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><br \/>\nThe consumers in this segment are predominantly in the second half of life and live in households without children. Environmental protection and innovation have a high priority. High value is set on careful purchase planning. Best value for money is systematically searched. The per-capita income in this segment is mostly well above average, whereas the per-household income is, due to the domination of one- or two-person households, mostly around or slightly below average.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type D - Well Informed Modern Consumers<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2035\"><img decoding=\"async\" class=\"alignnone size-large wp-image-2035\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypD-1024x345.jpg\" alt=\"MBI Consumer Styles Type D\" width=\"698\" height=\"235\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypD-1024x345.jpg 1024w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypD-300x101.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypD-768x259.jpg 768w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypD-88x30.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypD.jpg 1320w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><br \/>\nThe consumers in this segment have significantly high expenditures in product groups like clocks and jewelry and sport products. They are able to keep track of a wide range of products and services offered. Online purchase is well above average. They are significantly above average white collar employees. Quality, innovation and environmental protection have a high priority. The majority has a well above average per-capita income.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type E - Affluent Highly Educated Urban Families<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2036\"><img decoding=\"async\" class=\"alignleft wp-image-2036\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypE-300x202.jpg\" alt=\"MBI Global Consumer Styles Type E\" width=\"340\" height=\"229\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypE-300x202.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypE-88x59.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypE.jpg 650w\" sizes=\"(max-width: 340px) 100vw, 340px\" \/><\/a>The consumers in this segment have significantly high expenditures per households for practically all product groups. They are the segment with the highest online-shopping frequencies. They are employees, mainly in a managerial position and have far above average a higher education. They live predominantly in families with children and are mainly members of the younger age groups. They enjoy shopping and like new products. They live mainly in metropolitan areas and large cities. This segment shows the highest per-household income of all segments, but due to the number of children per household, the resulting per-capita income is less significantly above average. This segment has the highest percentage of smartphone-users and social online network usage. Regarding smartphones, other than in most other segments, Apple is preferred to Samsung.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type F - Security-oriented Seniors<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2037\"><img decoding=\"async\" class=\"alignnone size-large wp-image-2037\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypF-1024x345.jpg\" alt=\"MBI_TypF\" width=\"698\" height=\"235\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypF-1024x345.jpg 1024w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypF-300x101.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypF-768x259.jpg 768w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypF-88x30.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypF.jpg 1320w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><br \/>\nThe consumers in this segment are almost all in the second half of life and live mostly in households without children. They put emphasis on security, relationships with fellow men and self-respect. Share of retirees is the highest in this segment. They search for best value for money and have favorite brands and shops. The majority in this segment has an around average per-capita income.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type G - Orientation Seeking Lower and Middle Class Consumers<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2038\"><img decoding=\"async\" class=\"alignnone size-large wp-image-2038\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypG-1024x345.jpg\" alt=\"MBI Global Consumer Styles Type G\" width=\"698\" height=\"235\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypG-1024x345.jpg 1024w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypG-300x101.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypG-768x259.jpg 768w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypG-88x30.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypG.jpg 1320w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><br \/>\nImportant values for the consumers in this segment are excitement, sense of belonging and social engagement. They are interested in new products but often find the quantity and quality of the many different products and the related product information confusing. The majority in this segment has a below average per capita income.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type H - Younger Lower and Middle Class Consumers<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2039\"><img decoding=\"async\" class=\"alignleft wp-image-2039\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypH-171x300.jpg\" alt=\"MBI Global Consumer Stlyes Type H\" width=\"130\" height=\"228\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypH-171x300.jpg 171w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypH-585x1024.jpg 585w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypH-50x88.jpg 50w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypH.jpg 640w\" sizes=\"(max-width: 130px) 100vw, 130px\" \/><\/a>The majority of consumers in this segment has a below average per-capita income. They are mainly members of the younger age-groups and almost all live in multi-person-households, mostly with children. Education and tradition are important to them. They enjoy shopping and look out for best value-for-money and favorite brands and shops. They put emphasis on security and self-respect.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type I - Modern Younger Families<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2040\"><img decoding=\"async\" class=\"alignleft wp-image-2040\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypI-300x201.jpg\" alt=\"MBI Global Consumer Styles Type I\" width=\"340\" height=\"228\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypI-300x201.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypI-88x59.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypI.jpg 640w\" sizes=\"(max-width: 340px) 100vw, 340px\" \/><\/a>The consumers in this segment live in multi-person-households, almost all with children. They are employees, mainly in a managerial position or self-employed. Due to the number of children per household, the per-capita income is below average but in terms of household income is above average. Excitement is important for them and they have well above average expenditures for certain product groups such as sport products and permanent education. Majority of them are in the early-family-phase. In shopping, they are very interested in new products and mostly buy well-known brands.<\/div><\/div>\n\n\n<div class=\"accordion\"><h3 class=\"accordion-title\">Type J - Low-Income Younger Consumers<\/h3><div class=\"accordion-content\"><br \/>\n<rel=\"attachment wp-att-2041\"><img decoding=\"async\" class=\"alignleft wp-image-2041\" src=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypJ-300x202.jpg\" alt=\"Global Consumer Styles Type J\" width=\"340\" height=\"228\" srcset=\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypJ-300x202.jpg 300w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypJ-88x59.jpg 88w, https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2015\/12\/MBI_TypJ.jpg 640w\" sizes=\"(max-width: 340px) 100vw, 340px\" \/><\/a>The consumers in this segment have on average the lowest income compared to the other segments. Majority of them are teenagers or persons in their twenties. They are strongly characterized by a substantial absence from the labor market, being the segment with the highest shares of students, unemployed and homemakers. They live often in rural areas or smaller cities.<\/div><\/div>\n\n\n\n<div class=\"alignfull wp-block-ugb-icon-list ugb-icon-list ugb-5d8fccb ugb-icon-list--v2 ugb-main-block ugb-main-block--inner-wide ugb--has-block-background\"><style>.ugb-5d8fccb li{--icon-size:41px !important}.ugb-5d8fccb li::before{width:41px !important;height:41px !important;transform:rotate(0deg) !important;background-image:url('data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxOTAgMTkwIj48cG9seWdvbiBwb2ludHM9IjE3My44LDI4LjQgNjAuNCwxNDEuOCAxNS43LDk3LjIgNS4xLDEwNy44IDYwLjQsMTYzIDE4NC40LDM5IDE3My44LDI4LjQiLz48L3N2Zz4=')}.ugb-5d8fccb 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ul{columns:4}.ugb-5d8fccb .ugb-inner-block{text-align:left}.ugb-5d8fccb.ugb-icon-list{justify-content:center;background-color:rgba(255,255,255,1)}.ugb-5d8fccb.ugb-icon-list:before{background-color:#fff}.ugb-5d8fccb .ugb-block-title{font-size:32px !important;text-transform:uppercase !important;text-align:center}@media screen and (min-width:768px){.ugb-5d8fccb.ugb-icon-list{padding-top:70px !important;padding-right:35px !important;padding-bottom:70px !important;padding-left:35px !important}}<\/style><div class=\"ugb-inner-block ugb-inner-block--wide\"><h2 class=\"ugb-block-title\"><span style=\"color: #000;\" class=\"stk-highlight\">Potential Business <\/span>Applications<\/h2><div class=\"ugb-block-content\"><ul><li>Quantify regional sales opportunities \/ market potentials<\/li><li>Focus on marketing activities locally<\/li><li>Controlling: Formulate realistic and quantified objectives<\/li><li>Identify unused market potential<\/li><li>Restructure and optimize market and sales areas<\/li><li>Site planning: Develop expansion strategies<\/li><li>Evaluate areas for strengths and weaknesses<\/li><li>Map marketing campaigns<\/li><\/ul><\/div><\/div><\/div>\n\n\n\n<div class=\"alignfull wp-block-ugb-columns ugb-columns ugb-cfd573d ugb-columns--design-plain ugb-columns--columns-5 ugb-main-block ugb-main-block--inner-wide ugb--has-block-background\"><style>.ugb-cfd573d{padding-left:0 !important;padding-right:0 !important;padding:0 !important}.ugb-cfd573d .ugb-inner-block{text-align:center}.ugb-cfd573d.ugb-columns{background-color:rgba(68,68,68,0.1)}.ugb-cfd573d.ugb-columns:before{background-color:#444}.ugb-cfd573d .ugb-block-title{font-size:32px !important;color:#ffffff}@media screen and (min-width:768px){.ugb-cfd573d.ugb-columns{padding-top:35px !important;padding-right:35px !important;padding-bottom:0px !important;padding-left:35px !important}}<\/style><div class=\"ugb-inner-block ugb-inner-block--wide\"><h2 class=\"ugb-block-title\"><span style=\"color: #444;\" class=\"ugb-highlight\">KEY DIFFERENTIATORS<\/span><\/h2><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-cfd573d-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-0db3a4b ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-0db3a4b-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/weltweit_vergleichbar_hex_rot.png\" alt=\"\" class=\"wp-image-10480\" style=\"width:200px;height:200px\"\/><\/figure><\/div>\n\n\n<p class=\"has-text-align-center has-white-color has-text-color\"><span style=\"color: #444;\" class=\"ugb-highlight\">Globally consistent and comparable data <\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-dc2746a ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-dc2746a-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/Qualitaet_Zertifikat_hex_rot.png\" alt=\"\" class=\"wp-image-10481\" style=\"width:200px;height:200px\"\/><\/figure><\/div>\n\n\n<p class=\"has-text-align-center has-white-color has-text-color\"><span style=\"color: #444;\" class=\"ugb-highlight\">Strict quality control <\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-77d6b45 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-77d6b45-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/Support_Beratungsgespraech_hex_rot.png\" alt=\"\" class=\"wp-image-10482\" style=\"width:200px;height:200px\"\/><\/figure><\/div>\n\n\n<p class=\"has-text-align-center\"><span style=\"color:#fff\" class=\"tadv-color\"><span style=\"color: #444;\" class=\"ugb-highlight\">Individual consulting and support<\/span><\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-3c5d9b6 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-3c5d9b6-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/Update_hex_rot.png\" alt=\"\" class=\"wp-image-10483\" style=\"width:200px;height:200px\"\/><\/figure><\/div>\n\n\n<p><span style=\"color:#fff\" class=\"tadv-color\"><span style=\"color: #444;\" class=\"ugb-highlight\">Continuous updating<\/span><\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-9bd04c0 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-9bd04c0-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/Datenschutz_Schild_hex_rot.png\" alt=\"\" class=\"wp-image-10484\" style=\"width:200px;height:200px\"\/><\/figure><\/div>\n\n\n<p><span style=\"color:#fff\" class=\"tadv-color\"><span style=\"color: #444;\" class=\"ugb-highlight\">100 % GDPR<\/span><\/span> <span style=\"color:#fff\" class=\"tadv-color\"><span style=\"color: #444;\" class=\"ugb-highlight\">compliant<\/span><\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"alignfull wp-block-ugb-columns ugb-columns ugb-e482b2b ugb-columns--design-plain ugb-columns--columns-3 ugb-main-block ugb-main-block--inner-full ugb--has-block-background\"><style>.ugb-e482b2b.ugb-columns{background-color:rgba(68,68,68,0.1)}.ugb-e482b2b.ugb-columns:before{background-color:#444}@media screen and (min-width:768px){.ugb-e482b2b.ugb-columns{padding-top:10px !important;padding-right:35px !important;padding-bottom:40px !important;padding-left:35px !important}}<\/style><div class=\"ugb-inner-block ugb-inner-block--full\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-e482b2b-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-4f95a03 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-4f95a03-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-70266c7 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-70266c7-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-buttons is-horizontal is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-499968f5 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-white-color has-mbi-red-background-color has-text-color has-background has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/about-us-2#why-mbi\">Discover More Advantages<\/a><\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-90e1c7e ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-90e1c7e-column-wrapper\"><div class=\"ugb-column__content-wrapper\"><\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"alignwide wp-block-ugb-image-box ugb-image-box ugb-42e615f ugb-image-box--v4 ugb-image-box--columns-4 ugb-image-box--design-basic ugb-image-box--align-left ugb-main-block\"><style>.ugb-42e615f .ugb-image-box__box{border-radius:0px !important}.ugb-42e615f .ugb-image-box__item{height:330px !important;justify-content:flex-start !important}.ugb-42e615f .ugb-image-box__item1 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/05\/earth_country_availability.jpg)}.ugb-42e615f .ugb-image-box__item2 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/04\/Area_Boundaries-1.jpg)}.ugb-42e615f .ugb-image-box__item3 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/04\/Data_Formats.jpg)}.ugb-42e615f .ugb-image-box__item4 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/04\/Datalink_API.jpg)}.ugb-42e615f .ugb-image-box__item:hover .ugb-image-box__overlay-hover{opacity:0.7 !important}.ugb-42e615f .ugb-image-box__title{font-size:24px !important;text-align:center !important;margin-bottom:20px !important}.ugb-42e615f .ugb-inner-block{text-align:left}@media screen and (min-width:768px){.ugb-42e615f.ugb-image-box{padding-right:0px !important;padding-left:0px !important}}@media screen and (min-width:768px) and (max-width:1025px){.ugb-42e615f .ugb-image-box__item{height:300px !important}}@media screen and (max-width:768px){.ugb-42e615f .ugb-image-box__item{height:300px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-image-box__item ugb-image-box__item1 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"COUNTRY AVAILABILITY\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">COUNTRY AVAILABILITY<\/h4><\/div><p class=\"ugb-image-box__description\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/geodata-for-europe\/\">Europe<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/geodata-for-north-america\/\">North America<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/geodata-for-south-america\/\">South America<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/geodata-for-asia\/\">Asia<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/geodata-for-oceania\/\">Oceania<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/geodata-for-africa\/\">Africa<\/a><\/p><\/div><\/div><div class=\"ugb-image-box__item ugb-image-box__item2 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"AREA BOUNDARIES\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">AREA BOUNDARIES<\/h4><\/div><p class=\"ugb-image-box__description\">\u2022  Postcode Level<br>\u2022  Administrative Area Level<br>\u2022  Small Area Level<br><br><a href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/\">&gt; LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/\" title=\"AREA BOUNDARIES\" aria-label=\"AREA BOUNDARIES\"><\/a><\/div><div class=\"ugb-image-box__item ugb-image-box__item3 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"DATA FORMATS\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">DATA FORMATS<\/h4><\/div><p class=\"ugb-image-box__description\">Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab, .tabx) | MapInfo MIF\/MID | GeoJSON | GeoParquet (.parquet) | GeoPackage (.gpkg) | more on request<br><br><a href=\"https:\/\/www.mbi-geodata.com\/en\/data-formats\/\">> LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/www.mbi-geodata.com\/en\/data-formats\/\" title=\"DATA FORMATS\" aria-label=\"DATA FORMATS\"><\/a><\/div><div class=\"ugb-image-box__item ugb-image-box__item4 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"DATALINK API\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">DATALINK API<\/h4><\/div><p class=\"ugb-image-box__description\">Easy access to a variety of MBI data<br>\u2022  Datalink Desktop<br>\u2022  Datalink Rest API<br><a href=\"https:\/\/www.mbi-geodata.com\/en\/datalink-api\/\"><br>&gt; LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/www.mbi-geodata.com\/en\/datalink-api\/\" title=\"DATALINK API\" aria-label=\"DATALINK API\"><\/a><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-cover alignwide\" style=\"min-height:300px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-mbi-red-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-140d24f ugb-main-block\"><style>.ugb-140d24f .ugb-heading__title{font-size:22px !important;font-weight:500 !important;text-align:center}.ugb-140d24f .ugb-inner-block{text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h4 class=\"ugb-heading__title\">TELL US WHERE YOU ARE HEADING.<br>WE WILL GLADLY ASSIST YOU IN SELECTING THE DATA NEEDED TO REACH YOUR GOAL.<\/h4><p class=\"ugb-heading__subtitle\"> Didn&#8217;t find what you are looking for or have another question? Please do not hesitate to contact us!<\/p><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-columns ugb-columns ugb-1d520ee ugb-columns--design-plain ugb-columns--columns-2 ugb-main-block\"><style>@media screen and (min-width:768px){.ugb-1d520ee.ugb-columns{margin-bottom:0px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-1d520ee-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-75bec9d ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-75bec9d-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<p class=\"has-text-align-center\">Our experts will be happy to advise you individually and without obligation on which data you can use to create added value for your company and realize savings.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-6e4e7e7 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-6e4e7e7-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<p class=\"has-text-align-center\">Would you like to evaluate and visualize the data?<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-columns ugb-columns ugb-af21d17 ugb-columns--design-plain ugb-columns--columns-2 ugb-main-block\"><style>@media screen and (min-width:768px){.ugb-af21d17.ugb-columns{margin-top:-1px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-af21d17-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-bd6c7ba ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-bd6c7ba-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-buttons is-horizontal is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-499968f5 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/\" target=\"_blank\" rel=\"noreferrer noopener\">Contact Us<\/a><\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-0b134a8 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-0b134a8-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-buttons is-horizontal is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-499968f5 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Request%20test%20data\" target=\"_blank\" rel=\"noreferrer noopener\">Request Free Test Data<\/a><\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<section class=\"wp-block-uagb-columns uagb-columns__wrap uagb-columns__background-color uagb-columns__stack-mobile uagb-columns__valign- uagb-columns__gap-10 alignfull uagb-block-c26b4aa1 uagb-columns__columns-1 uagb-columns__max_width-custom\"><div class=\"uagb-columns__overlay\"><\/div><div class=\"uagb-columns__inner-wrap uagb-columns__columns-1\">\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-1ed2643e\"><div class=\"uagb-column__overlay\"><\/div>\n<div class=\"wp-block-stackable-heading alignfull stk-block-heading stk-block-heading--v2 stk-block stk-b0197fd 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xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Fwww.mbi-geodata.com%2Fen%2Fconsumer-styles%2F&subject=CONSUMER%20STYLES\" title=\"Send by email\" aria-label=\"Send by email\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div>","protected":false},"excerpt":{"rendered":"<p>The data&nbsp;Global Consumer Styles is an innovative model for market segmentation and determination of target groups. Our segmentation approach has 10 internationally comparable&nbsp;consumer groups based on the characteristics of the [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":19,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","ngg_post_thumbnail":0,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"footnotes":""},"class_list":["post-1580","page","type-page","status-publish","hentry"],"acf":[],"featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":"","mini":"","post-thumbnail":"","gform-image-choice-sm":"","gform-image-choice-md":"","gform-image-choice-lg":""},"post_excerpt_stackable_v2":"<p>Consumer Styles GLOBAL MARKET SEGMENTATION AND DETERMINATION OF TARGET GROUPS WHAT ARE CONSUMER STYLES? The data&nbsp;Global Consumer Styles is an innovative model for market segmentation and determination of target groups. Our segmentation approach has 10 internationally comparable&nbsp;consumer groups based on the characteristics of the population. It helps companies identify which consumer types are using their products and where these consumers are most likely to be found. This is an alternative to the socio-demographics and purchasing power as when collecting data for the consumer styles the key focus is on the people and their interests and lifestyles. This approach makes use&hellip;<\/p>\n","category_list_v2":"","author_info_v2":{"name":"robertsyork","url":"https:\/\/www.mbi-geodata.com\/en\/author\/robertsyork\/"},"comments_num_v2":"0 comments","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Consumer Styles for market segmentation and target groups<\/title>\n<meta name=\"description\" content=\"Where do people with different consumer styles live? 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Our segmentation approach has 10 internationally comparable&nbsp;consumer groups based on the characteristics of the [&hellip;]","_links":{"self":[{"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/pages\/1580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/comments?post=1580"}],"version-history":[{"count":111,"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/pages\/1580\/revisions"}],"predecessor-version":[{"id":19571,"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/pages\/1580\/revisions\/19571"}],"wp:attachment":[{"href":"https:\/\/www.mbi-geodata.com\/en\/wp-json\/wp\/v2\/media?parent=1580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}