{"id":550,"date":"2023-04-14T09:24:12","date_gmt":"2023-04-14T09:24:12","guid":{"rendered":"http:\/\/geoiqfrontendblogsprodwordpress-env.eba-dpx723ys.ap-south-1.elasticbeanstalk.com\/index.php\/2023\/04\/14\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/"},"modified":"2024-07-10T12:42:38","modified_gmt":"2024-07-10T07:12:38","slug":"what-is-retail-analytics-how-to-use-it-for-strategic-decisioning","status":"publish","type":"post","link":"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/","title":{"rendered":"What is Retail Analytics? How to Use it for Strategic Decisioning?"},"content":{"rendered":"<p>The retail industry is no stranger to change, but the pace and scope of recent developments have left many feeling overwhelmed. As we approach 2023, retailers are bracing themselves for another wave of uncertainty. Economic challenges, geopolitical tensions, shifting consumer preferences, supply chain disruptions, and labor issues are just some of the factors that are likely to impact the industry.<\/p>\n<p>However, it is essential to remember the lessons learned during the pandemic. Retailers demonstrated remarkable agility and resilience in the face of unprecedented demand fluctuations. They rapidly adapted their operations, embracing new technologies and establishing more flexible supply chains. And they recognized the importance of leveraging data and analytics to understand their customers better and build stronger relationships. As we look ahead to the next wave of uncertainty, it is vital for retailers to utilize <strong>retail analytics<\/strong> to take the decision-making ability for the retail stores to the next leap.<\/p>\n<p>Let\u2019s jump into what retail analytics is and how it helps with strategic decisions for brick-and-mortar stores.<\/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-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#What_is_Retail_Analytics\" title=\"What is Retail Analytics?\">What is Retail Analytics?<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Different_Types_of_Retail_Analytics\" title=\"Different Types of Retail Analytics:\">Different Types of Retail Analytics:<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Descriptive_Retail_Analytics\" title=\"Descriptive Retail Analytics\">Descriptive Retail Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Diagnostic_analytics\" title=\"Diagnostic analytics\">Diagnostic analytics<\/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\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Predictive_Analytics\" title=\"Predictive Analytics\">Predictive Analytics<\/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\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Prescriptive_Analytics\" title=\"Prescriptive Analytics\">Prescriptive Analytics<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Why_do_Retailers_Use_Retail_Analytics\" title=\"Why do Retailers Use Retail Analytics?\">Why do Retailers Use Retail Analytics?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Augment_Retail_Analytics_with_Location_Data\" title=\"Augment Retail Analytics with Location Data:\">Augment Retail Analytics with Location Data:<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Selecting_Store_Locations\" title=\"Selecting Store Locations\">Selecting Store Locations<\/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\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Identifying_Customer_Needs_Improving_Customer_Experience\" title=\"Identifying Customer Needs &amp; Improving Customer Experience\">Identifying Customer Needs &amp; Improving Customer Experience<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Merch-mix_prediction\" title=\"Merch-mix prediction\">Merch-mix prediction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Analyzing_Competitor_Performance\" title=\"Analyzing Competitor Performance\">Analyzing Competitor Performance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Enhancing_Marketing_Strategies\" title=\"Enhancing Marketing Strategies\">Enhancing Marketing Strategies<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"http:\/\/geoiq.ai\/blog\/what-is-retail-analytics-how-to-use-it-for-strategic-decisioning\/#Conclusion\" title=\"Conclusion\">Conclusion<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 id=\"what-is-retail-analytics\"><span class=\"ez-toc-section\" id=\"What_is_Retail_Analytics\"><\/span>What is Retail Analytics?<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>Retail analytics uses data analysis techniques to gain insights into <strong>retail operations, sales trends, customer behavior, and other critical retail metrics<\/strong>. The goal of retail analytics is to help retailers make data-driven decisions that optimize their performance and sustainably improve their expansion plans.<\/p>\n<h2 id=\"different-types-of-retail-analytics\"><span class=\"ez-toc-section\" id=\"Different_Types_of_Retail_Analytics\"><\/span>Different Types of Retail Analytics:<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"descriptive-analytics\"><span class=\"ez-toc-section\" id=\"Descriptive_Retail_Analytics\"><\/span>Descriptive Retail Analytics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>This analyzing process involves past data to gain insights into customer behavior, sales trends, and inventory management with an overview of their business operations&#8217; performance.<\/p>\n<h3 id=\"diagnostic-analytics\"><span class=\"ez-toc-section\" id=\"Diagnostic_analytics\"><\/span>Diagnostic analytics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The diagnostic analysis mainly deals with examining past performance data and providing insights into identifying patterns and correlations between variables and outcomes, shedding light on the &#8220;why&#8221; specific outcomes occurred and what factors contributed to them.<\/p>\n<h3 id=\"predictive-analytics\"><span class=\"ez-toc-section\" id=\"Predictive_Analytics\"><\/span>Predictive Analytics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>It involves using past performance data to make predictions about future sales, customer behavior, and inventory management. Moreover, it guides retailers to forecast trends and consumer behavior by utilizing the historical patterns and correlations between various factors that have been identified through diagnostic analytics.<\/p>\n<h3 id=\"prescriptive-analytics\"><span class=\"ez-toc-section\" id=\"Prescriptive_Analytics\"><\/span>Prescriptive Analytics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>It is a type of advanced analytics that uses machine learning and optimization techniques to recommend the best course of action for a specific business scenario and uses data to make recommendations for future actions, such as inventory restocking, marketing campaigns, and store layout changes.<\/p>\n<p>While there are various types of retail analytics, such as descriptive, diagnostic, predictive, and prescriptive analytics, conducting these analyses can be a tedious and time-consuming process. However, there is one common data source that can offer a wealth of valuable insights for retail analytics and help to improve the analysis of brick-and-mortar stores. That data source is<strong> location data<\/strong>.<\/p>\n<p><strong>For example<\/strong>, when conducting <strong>descriptive analytics<\/strong>, location data can provide insights into the performance of specific store locations, such as<strong> sales trends and foot traffic patterns<\/strong>. This information can be used to make data-driven decisions about store operations and marketing strategies.<\/p>\n<h2 id=\"why-do-retailers-use-retail-analytics\"><span class=\"ez-toc-section\" id=\"Why_do_Retailers_Use_Retail_Analytics\"><\/span>Why do Retailers Use Retail Analytics?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>These are four major results that retailers can drive through retail analytics:<\/p>\n<ul>\n<li>To offer a more personalized experience to customers by understanding their needs and preferences<\/li>\n<li>Improve the effectiveness of marketing campaigns to ultimately increase sales propensity, in turn, higher revenue<\/li>\n<li>Optimizing the supply chain to ensure profitable outcomes<\/li>\n<li>Identify trends and patterns in user behavior, sales and profitability trends, and other insights to improve processes and optimize strategies<\/li>\n<\/ul>\n<h2 id=\"augment-retail-analytics-with-location-data\"><span class=\"ez-toc-section\" id=\"Augment_Retail_Analytics_with_Location_Data\"><\/span>Augment Retail Analytics with Location Data:<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"selecting-store-locations\"><span class=\"ez-toc-section\" id=\"Selecting_Store_Locations\"><\/span><strong>Selecting Store Locations<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Optimizing and planning for the expansion of brick-and-mortar stores is a major challenge for retailers, which can be a labor-intensive task when carried out manually. Location-based analytics can help retailers select the most strategic store locations by analyzing factors such as<a href=\"https:\/\/geoiq.ai\/blog\/using-location-data-to-drive-foot-traffic-to-your-store\"> foot traffic<\/a>, demographics, and competition. By understanding the local market and consumer behavior, retailers can identify the most promising locations for new stores, ultimately improving their chances of success. Retailers can also use location data to optimize store layouts, adjust staffing levels, and develop targeted marketing campaigns that resonate with the local target audience.<\/p>\n<h3 id=\"identifying-customer-needs-improving-customer-experience\"><span class=\"ez-toc-section\" id=\"Identifying_Customer_Needs_Improving_Customer_Experience\"><\/span><strong>Identifying Customer Needs &amp; Improving Customer Experience<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Retailers can use location-based analytics to analyze consumer behavior and preferences, helping them understand the needs and preferences of their customers. By utilizing<a href=\"https:\/\/geoiq.ai\/blog\/location-data-and-intelligence-trends-in-2023\"> location data and intelligence<\/a> to segment customers, retailers can strategically target marketing and sales efforts, resulting in increased revenue and growth.<\/p>\n<p>Moreover, customer segmentation through location data analysis enables you to gain a deeper understanding of your customer&#8217;s needs and preferences, thereby allowing you to tailor your products or services to meet their expectations better. Further, by monitoring foot traffic and analyzing customer behavior, retailers can optimize store layouts, improve signage, and adjust staffing levels to provide a more seamless and enjoyable shopping experience.<\/p>\n<h3 id=\"merch-mix-prediction\"><span class=\"ez-toc-section\" id=\"Merch-mix_prediction\"><\/span><strong>Merch-mix prediction<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Retailers often struggle with deciding on the right price, which <strong>SKUs(stock-keeping units)<\/strong> to stock, and which brands to carry in a new store. Additionally, they want to maximize sales by predicting the most effective inventory placement in real time. However, retailers may overlook the fact that inventory placement should align with the purchasing behavior of the local catchment area. Despite this, many retailers still rely on outdated methods to predict the ideal merchandise mix.<\/p>\n<p>Utilizing location data and intelligence can be valuable in addressing these challenges. By using location-based analytics, retailers can anticipate changes in consumer behavior and adjust inventory levels accordingly, ensuring they always have the right products in stock at the right time. This can help retailers <strong>reduce inventory costs, minimize waste, and improve their overall profitability.<\/strong><\/p>\n<h3 id=\"analyzing-competitor-performance\"><span class=\"ez-toc-section\" id=\"Analyzing_Competitor_Performance\"><\/span><strong>Analyzing Competitor Performance<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Location data and intelligence platforms can provide retailers with valuable insights into the performance of their competitors. Retailers can monitor foot traffic and sales trends at nearby stores, analyze competitor pricing strategies, and track changes in consumer behavior to identify areas where they can improve.<\/p>\n<h3 id=\"enhancing-marketing-strategies\"><span class=\"ez-toc-section\" id=\"Enhancing_Marketing_Strategies\"><\/span><strong>Enhancing Marketing Strategies<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>By analyzing consumer behavior and preferences, retailers can develop targeted marketing campaigns that resonate with their audience, ultimately driving sales and increasing customer engagement. By identifying lookalike areas to the ones where the target audience is densely present, retailers can hyper-locally target their online and offline marketing campaigns to increase ROI and overall effectiveness.<\/p>\n<p>Retailers can also use location data to optimize the placement of in-store displays and promotions, ensuring that they are seen by the right customers at the right time.<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The future of<a href=\"https:\/\/geoiq.io\/products\/retail\"> retail analytics<\/a> is exciting, with advancements in technology enabling businesses to analyze vast amounts of data in real time. Machine learning and location data are becoming more prevalent, providing businesses with even greater accuracy in forecasting consumer behavior and market trends. As the retail industry becomes increasingly competitive, businesses must prioritize the implementation of retail analytics in their strategies. By doing so, they can make data-driven decisions that enhance their performance and increase their bottom line.<\/p>\n<p>Visit our site <a href=\"https:\/\/geoiq.ai\/in\/products\/retailiq\">RetialIQ<\/a> for more information or contact us at hello@geoiq.io<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The retail industry is no stranger to change, but the pace and scope of recent developments have left many feeling overwhelmed. As we approach 2023, retailers are bracing themselves for another wave of uncertainty. Economic challenges, geopolitical tensions, shifting consumer preferences, supply chain disruptions, and labor issues are just some of the factors that are [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":540,"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":[12],"tags":[48,50],"class_list":["post-550","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-retail","tag-retail","tag-retail-analytics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Retail Analytics? 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