{"id":3402,"date":"2024-05-24T10:48:42","date_gmt":"2024-05-24T10:48:42","guid":{"rendered":"https:\/\/geoiq.ai\/blog\/?p=3046"},"modified":"2025-02-19T13:13:42","modified_gmt":"2025-02-19T07:43:42","slug":"premium-d2c-furniture-brands-expansion-to-8-cities","status":"publish","type":"post","link":"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/","title":{"rendered":"Premium D2C Furniture Brand\u2019s Expansion to 8 Cities"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3402\" class=\"elementor elementor-3402\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5d8f48e1 e-flex e-con-boxed e-con e-parent\" data-id=\"5d8f48e1\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-478465c8 elementor-widget elementor-widget-text-editor\" data-id=\"478465c8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><!-- wp:paragraph --><\/p>\n<p>The brand in this case study is a premium mattress brand offering orthopedic support products. This case study highlights how GeoIQ helped the brand identify its target audience, help understand the revenue potential of a market, and eventually help open new profitable stores.&nbsp;&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading --><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_73 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#Premiumization_of_Indian_Products\" title=\"Premiumization of Indian Products\">Premiumization of Indian Products<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#Problem_Statement\" title=\"Problem Statement&nbsp;\">Problem Statement&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#Methodology\" title=\"Methodology\">Methodology<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#TAM_Model\" title=\"TAM Model\">TAM Model<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#Behavior_Patterns_of_the_Target_Audience\" title=\"Behavior Patterns of the Target Audience&nbsp;\">Behavior Patterns of the Target Audience&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#TAM_and_Market_Clusters\" title=\"TAM and Market Clusters\">TAM and Market Clusters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#Revenue_Estimation_Model\" title=\"Revenue Estimation Model&nbsp;\">Revenue Estimation Model&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#How_did_GeoIQ_Help_The_Brand\" title=\"How did GeoIQ Help The Brand?&nbsp;\">How did GeoIQ Help The Brand?&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#Impact\" title=\"Impact\">Impact<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/#What_is_RetailIQ\" title=\"What is RetailIQ&nbsp;\">What is RetailIQ&nbsp;<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Premiumization_of_Indian_Products\"><\/span><strong>Premiumization of Indian Products<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>India\u2019s consumer demography is evolving.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>The unprecedented wealth generation by affluent Indians has quadrupled the purchase of high-value homes in the country. This income rise is also reflected in India\u2019s rising per capita income. Giving birth to a receptive audience of <a href=\"https:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/in\/Documents\/about-deloitte\/in-ad-future-of-retail-noexp.pdf\">110 million new middle-class households<\/a> in major metros, and Tier-2, and Tier-3 cities&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Premium segments of customer-centric products, from automobiles to shampoos, are experiencing a surge in demand, whereas entry-level options are struggling.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>These new consumers of affordable luxury exhibit a need to express their individuality through the products they purchase, necessitating physical contact between the customer and the product.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading --><\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Problem_Statement\"><\/span><strong>Problem Statement<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>The furniture brand reached out to GeoIQ with two problems:<br><br>After establishing a firm foothold in the online space, the brand wanted to expand into eight cities in India; Bangalore, Chennai, Hyderabad, Pune, Delhi, Kolkata, and Mumbai.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:list {\"ordered\":true} --><\/p>\n<ol><!-- wp:list-item --><p><\/p>\n<li>Identify markets &#8211; malls &amp; high streets to expand into<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>Estimating revenue potential<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<\/ol>\n<p><!-- \/wp:list --><\/p>\n<p><!-- wp:heading --><\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Methodology\"><\/span><strong>Methodology<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>To build a fail-safe expansion strategy, two components are crucial:<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:list {\"ordered\":true} --><\/p>\n<ol><!-- wp:list-item --><p><\/p>\n<li>Understanding who your customer is&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>Where do they live and shop&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<\/ol>\n<p><!-- \/wp:list --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"TAM_Model\"><\/span>TAM Model<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>To gain an understanding of the target audience, we looked at the brand\u2019s order data &#8211; both online and offline.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>For TAM, we first get the store data and sales data. We then aggregate the sales data for each hex of 500 meters.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Then we would compare each hex with our existing 3,500 features to determine the characteristics that correlate with good and bad locations, i,e. locations that generate relatively more orders&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Through this exercise, our model identified the significant features that stood out in catchments with a high-order density. For example, locations with large apartment complexes and high rentals.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>We then applied these short-listed features across all catchment areas in the city to help us develop a comprehensive TAM map of the city<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Behavior_Patterns_of_the_Target_Audience\"><\/span>Behavior Patterns of the Target Audience&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>The RetailIQ AI platform identified that the brand\u2019s target audience displayed the following characteristics,&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:list --><\/p>\n<ul><!-- wp:list-item --><p><\/p>\n<li><span style=\"font-style: inherit; font-weight: inherit; text-align: var(--text-align); background-color: var(--ast-global-color-5); color: var(--ast-global-color-3);\">Capable of discretionary spending with a willingness to spend on quality-of-life upgrades<\/span><\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>Would use car washes or enroll their wards in supplementary coaching classes like, dance or painting<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>The target audience also lives in locations with high internet speeds.&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>They live near dental clinics<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<\/ul>\n<p><!-- \/wp:list --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"TAM_and_Market_Clusters\"><\/span>TAM and Market Clusters<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Purchasing a furniture product is a long-term investment for most households.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Therefore, customers will consider the various options in the market before making their choice. Due to their higher levels of affluence, the customer of this brand is willing to travel from their home to the store.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>With this insight into the brand\u2019s target audience, we began identifying clusters of furniture stores in the city. Identifying these clusters was crucial for the success of the brand. The typical brand\u2019s customer would tend to explore every shop within the cluster before making their decision.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>We then evaluated the locations of every furniture cluster within the eight cities and identified profitable locations at the clear intersection of the TAM and the market clusters.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p><strong>To summarize, we identified the potential target group for a brand and estimated the brand\u2019s TAM for the entire city.&nbsp;<\/strong><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Revenue_Estimation_Model\"><\/span>Revenue Estimation Model&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>After building the TAM model we developed a revenue estimation model that learns from the inferences derived from the TAM model. The revenue model utilized the brand\u2019s existing store network of 60 stores pan-India to understand the factors impacting the brand\u2019s revenue.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>The brand\u2019s profitable store locations had the following characteristics,&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:list {\"ordered\":true} --><\/p>\n<ol><!-- wp:list-item --><p><\/p>\n<li>Presence of TAM&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>High retail density for home-improvement<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>Spend on self-care is high<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>High affluence&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li><span style=\"font-style: inherit; font-weight: inherit; text-align: var(--text-align); background-color: var(--ast-global-color-5); color: var(--ast-global-color-3);\">Presence of branded stores in the market&nbsp;<\/span><\/li>\n<p><!-- \/wp:list-item --><\/p>\n<\/ol>\n<p><!-- \/wp:list --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>But, since the data we used was from stores across India, there was a possibility of cross-contamination to occur. The features responsible for the success of a store in Kerala wouldn\u2019t necessarily be the same responsible for the success of a store in Tamil Nadu.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Therefore, we carefully hand-picked the features that helped our model answer our questions without generating too many errors.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p><strong>To summarize, we identified the locations with the presence of the TAM and then determined where the customers from these markets would shop for their furniture.&nbsp;<\/strong><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_did_GeoIQ_Help_The_Brand\"><\/span><strong>How did GeoIQ Help The Brand?&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:list --><\/p>\n<ul><!-- wp:list-item --><p><\/p>\n<li>We helped the brand identify new potential markets.&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>We helped the brand determine if opening a new store affects the revenue generated at the pre-existing stores and if it affects same-store cannibalization.&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>We helped them determine pincode-level marketing strategies, by co-relating the GeoIQ TAM map with their brand-page search history.&nbsp;<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:list-item --><\/p>\n<li>GeoIQ helped predict the revenue for the brand at a given location<\/li>\n<p><!-- \/wp:list-item --><\/p>\n<\/ul>\n<p><!-- \/wp:list --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Impact\"><\/span><strong>Impact<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div>\n<div style=\"\">GeoIQ&#8217;s location intelligence and data-driven strategies significantly improved the brand&#8217;s retail performance.<\/div>\n<div style=\"\"><br><\/div>\n<div style=\"\">By leveraging our insights, the brand achieved these impressive results:<\/div>\n<div style=\"\">\n<ul>\n<li>Expanded their retail footprint with<b> 9 stores across 8 cities in just 4 months.<\/b><\/li>\n<li>Increased store visits by<b> 30%.<\/b><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<ul>\n<p><!-- \/wp:list-item --><\/p>\n<\/ul>\n<p><!-- \/wp:list --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_is_RetailIQ\"><\/span><strong>What is RetailIQ&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>RetailIQ is a cutting-edge AI solution revolutionizing offline expansion for the retail sector. It is built on top of extensive location data and brand data to give street-level answers to expansion problems.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>RetailIQ is a powerful tool providing site recommendations to maximize success at the store level and minimize the risk of closure. It also helps identify the total addressable market, conduct competition analysis, better understand your target audience traits and their presence, and perform detailed site analysis and reports, all adding up to a successful expansion strategy.&nbsp;<\/p>\n<p><!-- \/wp:paragraph --><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The brand in this case study is a premium mattress brand offering orthopedic support products. This case study highlights how GeoIQ helped the brand identify its target audience, help understand the revenue potential of a market, and eventually help open new profitable stores.&nbsp;&nbsp; Premiumization of Indian Products India\u2019s consumer demography is evolving.&nbsp; The unprecedented wealth [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3553,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","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":"default","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":[3],"tags":[101,102,103,51,105,56],"class_list":["post-3402","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-study","tag-furniture-brand","tag-market-selection","tag-mattress-brand","tag-retail-expansion","tag-revenue-potential","tag-site-selection"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Premium D2C Furniture Brand\u2019s Expansion to 8 Cities - GeoIQ Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/geoiq.ai\/blog\/premium-d2c-furniture-brands-expansion-to-8-cities\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Premium D2C Furniture Brand\u2019s Expansion to 8 Cities - GeoIQ Blog\" \/>\n<meta property=\"og:description\" content=\"The brand in this case study is a premium mattress brand offering orthopedic support products. 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