{"id":2946980,"date":"2025-11-10T09:10:21","date_gmt":"2025-11-10T17:10:21","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2946980"},"modified":"2025-11-10T12:57:39","modified_gmt":"2025-11-10T20:57:39","slug":"use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app","title":{"rendered":"Use nearby analysis to explore Quick Service Restaurant (QSR) competition with ArcGIS Business Analyst Web App"},"author":321952,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[780889],"industry":[],"product":[36711,37011],"class_list":["post-2946980","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-nearby-analysis","product-bus-analyst","product-esri-demographics"],"acf":{"authors":[{"ID":364812,"user_firstname":"Yann","user_lastname":"Bovet","nickname":"Yann Bovet","user_nicename":"ybovet","display_name":"Yann Bovet","user_email":"ybovet@esri.com","user_url":"","user_registered":"2024-11-12 20:50:11","user_description":"Yann Bovet is a Senior Product Engineer focused on the Business Analyst suite of products. He is a big proponent of visualizing and interpreting data for predictive analytics.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/IMG_1290-1-e1731609807281-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":321952,"user_firstname":"Sarah","user_lastname":"David","nickname":"Sarah David","user_nicename":"sdavid","display_name":"S David","user_email":"sdavid@esri.com","user_url":"","user_registered":"2022-11-08 21:39:20","user_description":"S David writes about ArcGIS Business Analyst.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/309366fd0364e37bfa30f7fe0a0bc5f3f3b2a3c42c1c7f873853e4962506a9e0?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/309366fd0364e37bfa30f7fe0a0bc5f3f3b2a3c42c1c7f873853e4962506a9e0?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}],"short_description":"As part of the October 2025 release,\u00a0ArcGIS\u00a0Business Analyst Web App has\u00a0a\u00a0new\u00a0advanced\u00a0analysis workflow:\u00a0nearby analysis.\u00a0","flexible_content":[{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW32302263 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW32302263 BCX0\">As part of the October 2025 release,<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">ArcGIS\u00a0<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">Business Analyst Web App has<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">\u00a0<\/span><span class=\"NormalTextRun CommentStart SCXW32302263 BCX0\">a<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">\u00a0new\u00a0<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">advanced\u00a0<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">analysis workflow:\u00a0<\/span><span class=\"NormalTextRun CommentStart SCXW32302263 BCX0\">nearby analysis<\/span><span class=\"NormalTextRun SCXW32302263 BCX0\">.<\/span><\/span><span class=\"EOP SCXW32302263 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2946983,"id":2946983,"title":"nearby analsis 1","filename":"nearby-analsis-1.png","filesize":62906,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/nearby-analsis-1","alt":"New nearby analysis workflow","author":"321952","description":"","caption":"","name":"nearby-analsis-1","status":"inherit","uploaded_to":2946980,"date":"2025-11-04 20:19:36","modified":"2025-11-04 20:19:41","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":392,"height":319,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","medium-width":321,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","medium_large-width":392,"medium_large-height":319,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","large-width":392,"large-height":319,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","1536x1536-width":392,"1536x1536-height":319,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","2048x2048-width":392,"2048x2048-height":319,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","card_image-width":392,"card_image-height":319,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analsis-1.png","wide_image-width":392,"wide_image-height":319}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW64985617 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW64985617 BCX0\">Nearby analysis evaluate<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">s<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0point<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">s<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0of interest (POI)<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">within a site\u2019s<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0ar<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">ea. The results<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0inclu<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">de\u00a0<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">the total number of points<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">,\u00a0<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">points per 1,000 households<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">,<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0and the distance from the nearest point to a site.\u00a0<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">These calculations can be used to understand hyper-local markets and competition. Depending on your industry and location, different calculations may be more pivotal.\u00a0<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">For example, in highly dense markets,\u00a0<\/span><span class=\"NormalTextRun CommentStart SCXW64985617 BCX0\">proximity to c<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">ompetitor<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">s<\/span><span class=\"NormalTextRun SCXW64985617 BCX0\">\u00a0might be the most important factor for site selection.\u00a0<\/span><\/span><span class=\"EOP SCXW64985617 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947563,"id":2947563,"title":"2025-11-10_12-00-58","filename":"2025-11-10_12-00-58.png","filesize":437072,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_12-00-58","alt":"A nearby analysis","author":"321952","description":"","caption":"","name":"2025-11-10_12-00-58","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:05:49","modified":"2025-11-10 17:05:59","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":845,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58.png","medium-width":464,"medium-height":204,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58.png","medium_large-width":768,"medium_large-height":338,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58.png","large-width":1920,"large-height":845,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58-1536x676.png","1536x1536-width":1536,"1536x1536-height":676,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58.png","2048x2048-width":1920,"2048x2048-height":845,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58-826x364.png","card_image-width":826,"card_image-height":364,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-00-58.png","wide_image-width":1920,"wide_image-height":845}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">What\u00a0is nearby analysis?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Nearby analysis is a new Business Analyst Web App Advanced\u00a0workflow that can\u00a0identify\u00a0points of interest and businesses around\u00a0selected points.\u00a0Start by adding\u00a0your point-based sites,\u00a0choose\u00a0a list of points, and then\u00a0symbolize\u00a0each point\u00a0by\u00a0type of business.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Point lists are collections of points of interest. You can use\u00a0Esri-provided\u00a0point lists (<\/span><b><span data-contrast=\"auto\">Featured point lists<\/span><\/b><span data-contrast=\"auto\">)\u00a0such as\u00a0<\/span><b><span data-contrast=\"auto\">Restaurants<\/span><\/b><span data-contrast=\"auto\">,\u00a0<\/span><b><span data-contrast=\"auto\">Healthcare<\/span><\/b><span data-contrast=\"auto\">,\u00a0<\/span><b><span data-contrast=\"auto\">Parking<\/span><\/b><span data-contrast=\"auto\">, and\u00a0<\/span><b><span data-contrast=\"auto\">Grocery Stores<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0Additionally, you can use points from\u00a0custom\u00a0layers (<\/span><b><span data-contrast=\"auto\">Web layer\u00a0point lists<\/span><\/b><span data-contrast=\"auto\">)\u00a0or create\u00a0your own\u00a0point list.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2946985,"id":2946985,"title":"nearby analysis 3","filename":"nearby-analysis-3.png","filesize":17917,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/nearby-analysis-3","alt":"Add point lists window","author":"321952","description":"","caption":"","name":"nearby-analysis-3","status":"inherit","uploaded_to":2946980,"date":"2025-11-04 20:20:23","modified":"2025-11-04 20:20:26","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":463,"height":219,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","medium-width":463,"medium-height":219,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","medium_large-width":463,"medium_large-height":219,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","large-width":463,"large-height":219,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","1536x1536-width":463,"1536x1536-height":219,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","2048x2048-width":463,"2048x2048-height":219,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","card_image-width":463,"card_image-height":219,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-3.png","wide_image-width":463,"wide_image-height":219}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW139503051 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW139503051 BCX0\">The results of this analysis appear in the\u00a0<\/span><\/span><strong><span class=\"TextRun SCXW139503051 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW139503051 BCX0\">Results<\/span><\/span><\/strong><span class=\"TextRun SCXW139503051 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW139503051 BCX0\">\u00a0pane as a summary and tables.\u00a0<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">If you\u2019re using Data Axle as your data source, the point details table will show attri<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">butes<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">\u00a0like\u00a0<\/span><span class=\"NormalTextRun CommentStart SCXW139503051 BCX0\">employee count and square footage<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">. The\u00a0<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">site summar<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">y table shows the nearby analysis calculations, consisting of\u00a0<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">the distance, total count, and density of points for your sites.<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">\u00a0<\/span><span class=\"NormalTextRun CommentStart SCXW139503051 BCX0\">The<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">\u00a0site summary<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">\u00a0measures are typically used in retail analysis for site selection and market competition evaluation.<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW139503051 BCX0\">For example, high point density means more competitors within the area.<\/span><\/span><span class=\"EOP SCXW139503051 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947573,"id":2947573,"title":"2025-11-10_12-04-57","filename":"2025-11-10_12-04-57-1.gif","filesize":1456963,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_12-04-57-2","alt":"Nearby analysis results","author":"321952","description":"","caption":"","name":"2025-11-10_12-04-57-2","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:17:08","modified":"2025-11-10 17:17:16","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1280,"height":720,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","large-width":1280,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","1536x1536-width":1280,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","2048x2048-width":1280,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-04-57-1.gif","wide_image-width":1280,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><span data-contrast=\"none\">Using nearby analysis to explore Quick Service Restaurant demand<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Let\u2019s use nearby analysis to explore Quick Service Restaurant (QSR) competition. QSRs are food establishments that prioritize convenience, such as Starbucks, Chick-fil-A, and Domino\u2019s Pizza.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In this blog article, you are a\u00a0Charlotte-based neighborhood QSR\u00a0looking to grow your brand in the nearby suburbs.\u00a0Your target\u00a0market\u00a0is\u00a0developing\u00a0suburban\u00a0areas, with residents likely to drive to restaurant locations rather than walk or take public transit.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h4><span data-contrast=\"none\">Create your\u00a0sites<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">Let\u2019s\u00a0create\u00a0three sites\u00a0using 10-minute drive times\u00a0around\u00a0the outskirts of Charlotte.\u00a0\u00a0In nearby analysis,\u00a0sites must be point-based. Your sites can\u00a0be measured using rings, drive times, or walk times. You can use\u00a0an assortment of site areas; they don\u2019t need to all use the same area type.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For this\u00a0walk-through,\u00a0use the\u00a0<\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/use-map-tools.htm#ESRI_SECTION1_C30D73392D964D51A8B606128A8A6E8F\" target=\"_blank\" rel=\"noopener\"><b><span data-contrast=\"none\">Search\u00a0<\/span><\/b><span data-contrast=\"none\">map tool<\/span><\/a><span data-contrast=\"auto\">\u00a0to\u00a0<\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/create-sites.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">create\u00a0sites<\/span><\/a><span data-contrast=\"auto\">\u00a0with\u00a010-minute drive times within\u00a0Gastonia, Concord, and Monroe.\u00a0The pin for each site represents the city center. The\u00a0drive time calculates the area around the city center\u00a0that can be reached within 10 minutes.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2946987,"id":2946987,"title":"nearby anaylsis 5","filename":"nearby-anaylsis-5.png","filesize":130895,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/nearby-anaylsis-5","alt":"Create a site for Gastonia","author":"321952","description":"","caption":"","name":"nearby-anaylsis-5","status":"inherit","uploaded_to":2946980,"date":"2025-11-04 20:21:06","modified":"2025-11-04 20:21:09","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":229,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","medium-width":464,"medium-height":170,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","medium_large-width":624,"medium_large-height":229,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","large-width":624,"large-height":229,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","1536x1536-width":624,"1536x1536-height":229,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","2048x2048-width":624,"2048x2048-height":229,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","card_image-width":624,"card_image-height":229,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-5.png","wide_image-width":624,"wide_image-height":229}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW185507455 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW185507455 BCX0\">When your sites are added, they immediately<\/span><span class=\"NormalTextRun SCXW185507455 BCX0\">\u00a0appear<\/span><span class=\"NormalTextRun SCXW185507455 BCX0\">\u00a0on the map.<\/span><\/span><span class=\"EOP SCXW185507455 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2946988,"id":2946988,"title":"nearby analysis 5","filename":"nearby-analysis-5.png","filesize":251915,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/nearby-analysis-5","alt":"Map of three sites around Charlotte","author":"321952","description":"","caption":"","name":"nearby-analysis-5","status":"inherit","uploaded_to":2946980,"date":"2025-11-04 20:21:28","modified":"2025-11-04 20:21:32","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":525,"height":366,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","medium-width":374,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","medium_large-width":525,"medium_large-height":366,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","large-width":525,"large-height":366,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","1536x1536-width":525,"1536x1536-height":366,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","2048x2048-width":525,"2048x2048-height":366,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","card_image-width":525,"card_image-height":366,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-5.png","wide_image-width":525,"wide_image-height":366}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h4><span data-contrast=\"none\">Add\u00a0your\u00a0sites\u00a0to nearby analysis<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">Now you can use the sites you just\u00a0created in your nearby analysis.\u00a0In\u00a0this workflow,\u00a0you can select from your recently used sites, sites currently on the map, or sites from any project.\u00a0Click\u00a0<\/span><b><span data-contrast=\"auto\">+ Add sites<\/span><\/b><span data-contrast=\"auto\">\u00a0and select your sites\u00a0around Charlotte\u00a0to add them to the analysis.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2946989,"id":2946989,"title":"nearby analysis 6","filename":"nearby-analysis-6.png","filesize":27342,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/nearby-analysis-6","alt":"Add sites window in nearby analysis","author":"321952","description":"","caption":"","name":"nearby-analysis-6","status":"inherit","uploaded_to":2946980,"date":"2025-11-04 20:21:49","modified":"2025-11-04 20:21:53","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":535,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","medium-width":304,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","medium_large-width":624,"medium_large-height":535,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","large-width":624,"large-height":535,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","1536x1536-width":624,"1536x1536-height":535,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","2048x2048-width":624,"2048x2048-height":535,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6-542x465.png","card_image-width":542,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-analysis-6.png","wide_image-width":624,"wide_image-height":535}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW204893420 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW204893420 BCX0\">Y<\/span><span class=\"NormalTextRun SCXW204893420 BCX0\">our sites are added to the analysis<\/span><span class=\"NormalTextRun SCXW204893420 BCX0\">!<\/span><span class=\"NormalTextRun CommentStart SCXW204893420 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW204893420 BCX0\">Now you can add your points of interest (POI).<\/span><\/span><span class=\"EOP SCXW204893420 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2946990,"id":2946990,"title":"nearby anaylsis 7","filename":"nearby-anaylsis-7.png","filesize":245857,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/nearby-anaylsis-7","alt":"Sites in nearby analysis","author":"321952","description":"","caption":"","name":"nearby-anaylsis-7","status":"inherit","uploaded_to":2946980,"date":"2025-11-04 20:22:09","modified":"2025-11-04 20:22:13","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":340,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","medium-width":464,"medium-height":253,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","medium_large-width":624,"medium_large-height":340,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","large-width":624,"large-height":340,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","1536x1536-width":624,"1536x1536-height":340,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","2048x2048-width":624,"2048x2048-height":340,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","card_image-width":624,"card_image-height":340,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/nearby-anaylsis-7.png","wide_image-width":624,"wide_image-height":340}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h4><span data-contrast=\"none\">Add\u00a0a custom\u00a0point list<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">To add points of interest to the map,\u00a0you can browse a curated collection of POIs\u00a0in\u00a0featured point lists, like\u00a0<\/span><b><span data-contrast=\"auto\">Restaurants<\/span><\/b><span data-contrast=\"auto\">\u00a0and\u00a0<\/span><b><span data-contrast=\"auto\">Gas Stations<\/span><\/b><span data-contrast=\"auto\">.\u00a0Or\u00a0you can create your own point list, which is essentially performing a\u00a0points of interest search. If\u00a0you have web maps and layers with point-based sites, you can add these to your analysis, too. For this\u00a0walkthrough, you\u2019ll make a custom point list.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Click\u00a0<\/span><b><span data-contrast=\"auto\">+ Add point lists\u00a0<\/span><\/b><span data-contrast=\"auto\">and\u00a0select\u00a0<\/span><b><span data-contrast=\"auto\">+ Create a point list<\/span><\/b><span data-contrast=\"auto\">.\u00a0Click the search field and select\u00a0the\u00a0<\/span><b><span data-contrast=\"auto\">Advanced search\u00a0<\/span><\/b><span data-contrast=\"auto\">option.\u00a0We are looking for\u00a0quick-serve\u00a0restaurants, so we\u2019ll\u00a0add two conditions\u00a0to map restaurants using a primary NAICS code with the specialty Limited Service. Limited Service is a restaurant category\u00a0with limited or no table service, such as ordering at a counter instead of tableside with a waiter.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Add the following advanced search conditions:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Primary NAICS is any of the following 72251117 (Restaurants)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Specialty contains\u00a0Limited Service\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2947565,"id":2947565,"title":"2025-11-10_11-56-56","filename":"2025-11-10_11-56-56.png","filesize":86256,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_11-56-56","alt":"Advanced search conditions for a custom point list","author":"321952","description":"","caption":"","name":"2025-11-10_11-56-56","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:06:57","modified":"2025-11-10 17:07:08","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":685,"height":807,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","medium-width":222,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","medium_large-width":685,"medium_large-height":807,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","large-width":685,"large-height":807,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","1536x1536-width":685,"1536x1536-height":807,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","2048x2048-width":685,"2048x2048-height":807,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56-395x465.png","card_image-width":395,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-56-56.png","wide_image-width":685,"wide_image-height":807}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW192270106 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192270106 BCX0\">When you save your custom point list, it appears on the\u00a0<\/span><\/span><strong><span class=\"TextRun SCXW192270106 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192270106 BCX0\">My point lists<\/span><\/span><\/strong><span class=\"TextRun SCXW192270106 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192270106 BCX0\">\u00a0tab. Use the check<\/span><span class=\"NormalTextRun SCXW192270106 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW192270106 BCX0\">box for this list and click\u00a0<\/span><\/span><span class=\"TextRun SCXW192270106 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192270106 BCX0\"><strong>Apply<\/strong>\u00a0<\/span><\/span><span class=\"TextRun SCXW192270106 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192270106 BCX0\">to add it to the nearby analysis.<\/span><\/span><span class=\"EOP SCXW192270106 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947566,"id":2947566,"title":"2025-11-10_11-57-50","filename":"2025-11-10_11-57-50.png","filesize":22929,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_11-57-50","alt":"My point lists tab","author":"321952","description":"","caption":"","name":"2025-11-10_11-57-50","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:07:19","modified":"2025-11-10 17:07:25","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":630,"height":223,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","medium-width":464,"medium-height":164,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","medium_large-width":630,"medium_large-height":223,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","large-width":630,"large-height":223,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","1536x1536-width":630,"1536x1536-height":223,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","2048x2048-width":630,"2048x2048-height":223,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","card_image-width":630,"card_image-height":223,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-57-50.png","wide_image-width":630,"wide_image-height":223}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">Your points are mapped within your sites&#8217; areas.\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947567,"id":2947567,"title":"2025-11-10_11-58-03","filename":"2025-11-10_11-58-03.png","filesize":572854,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_11-58-03","alt":"Nearby points mapped within sites","author":"321952","description":"","caption":"","name":"2025-11-10_11-58-03","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:07:57","modified":"2025-11-10 17:08:23","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":843,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03.png","medium-width":464,"medium-height":204,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03.png","medium_large-width":768,"medium_large-height":337,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03.png","large-width":1920,"large-height":843,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03-1536x674.png","1536x1536-width":1536,"1536x1536-height":674,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03.png","2048x2048-width":1920,"2048x2048-height":843,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03-826x363.png","card_image-width":826,"card_image-height":363,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_11-58-03.png","wide_image-width":1920,"wide_image-height":843}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">To complete the workflow, click\u00a0<\/span><b><span data-contrast=\"auto\">Next<\/span><\/b><span data-contrast=\"auto\">.\u00a0<\/span><span data-contrast=\"auto\">Your results appear\u00a0on the map and\u00a0in the\u00a0<\/span><b><span data-contrast=\"auto\">Results\u00a0<\/span><\/b><span data-contrast=\"auto\">pane. (Your point icons may be different than pictured depending on your preferences.) The\u00a0<\/span><b><span data-contrast=\"auto\">Results\u00a0<\/span><\/b><span data-contrast=\"auto\">pane<\/span><span data-contrast=\"auto\">\u00a0features a summary, point details table, and site summary table.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Explore the results<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Let\u2019s explore the results!\u00a0There is a summary, point details table, and site\u00a0summary\u00a0table.\u00a0The summary and site summary table detail the nearby analysis calculations (distance to the nearest point, the total count\u00a0of points, and point density).\u00a0\u00a0The\u00a0point details table shows attributes\u00a0(like employee count and square foot minimum)\u00a0for each quick serve restaurant location.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h4><span data-contrast=\"none\">Summary<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">You can use the summary for a quick overview of the results. This includes the total number of point locations,\u00a0a\u00a0scatterplot, and the nearby analysis calculations.\u00a0<\/span><span data-ccp-props=\"{}\"> The scatterplot visualizes the relationship between the distance to the nearest point and the density of points. Typically, you&#8217;d expect that where you see higher point density, you&#8217;d also see points closer to the city center. This is shown in the example with the results for Monroe.\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947575,"id":2947575,"title":"2025-11-10_12-20-21","filename":"2025-11-10_12-20-21.gif","filesize":1133521,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_12-20-21","alt":"Summary of nearby analysis results","author":"321952","description":"","caption":"","name":"2025-11-10_12-20-21","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:21:03","modified":"2025-11-10 17:21:27","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1280,"height":720,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","large-width":1280,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","1536x1536-width":1280,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","2048x2048-width":1280,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-20-21.gif","wide_image-width":1280,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">You can use the\u00a0nearby analysis calculations in the\u00a0summary\u00a0to understand\u00a0how the sites compare to one another.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Count of points<\/span><\/b><span data-contrast=\"auto\">\u2014Gastonia has the most\u00a0total\u00a0quick serve restaurant\u00a0(QSR)\u00a0locations (72), whereas Monroe has the least (37).\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Distance to nearest point<\/span><\/b><span data-contrast=\"auto\">\u2014Monroe\u00a0has QSRs close to the\u00a0city center\u00a0(0.44 miles),\u00a0whereas Concord has\u00a0no QSR within\u00a01.43 miles\u00a0of the city center.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Points per 1,000 households<\/span><\/b><span data-contrast=\"auto\">\u2014Monroe has the\u00a0highest\u00a0point density (3 points per 1,000 households), whereas Concord has the lowest point density (1.92\u00a0points per 1,000 households).\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Another way to look at this is that Monroe has the\u00a0fewest\u00a0restaurants\u00a0and\u00a0has the\u00a0closest distance to the nearest point and\u00a0highest\u00a0point density.\u00a0So, even though there are fewer points in the area,\u00a0there are more restaurants per household with shorter distances.\u00a0A lower count of points may look on the surface like a less competitive market, but using distance and point density calculations you can evaluate market demand\u00a0more comprehensively.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h4><span data-contrast=\"none\">Point details table<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">The point details table is similar to the results table when you use POI search and lists point attributes.\u00a0It provides granular,\u00a0location level information on each of the records.\u00a0You can use attributes to understand the\u00a0market performance of competitors in the area, like analyzing sales volume to understand potential revenue.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947569,"id":2947569,"title":"2025-11-10_12-10-56","filename":"2025-11-10_12-10-56.png","filesize":77646,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_12-10-56","alt":"Point details table","author":"321952","description":"","caption":"","name":"2025-11-10_12-10-56","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:12:10","modified":"2025-11-10 17:12:16","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1486,"height":329,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","medium-width":464,"medium-height":103,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","medium_large-width":768,"medium_large-height":170,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","large-width":1486,"large-height":329,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","1536x1536-width":1486,"1536x1536-height":329,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","2048x2048-width":1486,"2048x2048-height":329,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56-826x183.png","card_image-width":826,"card_image-height":183,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-10-56.png","wide_image-width":1486,"wide_image-height":329}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW178686997 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW178686997 BCX0\">In addition to point attributes, there is a nearby analysis-specific measure included<\/span><span class=\"NormalTextRun SCXW178686997 BCX0\">\u00a0in the table<\/span><span class=\"NormalTextRun SCXW178686997 BCX0\">: distance (in miles).<\/span><span class=\"NormalTextRun SCXW178686997 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW178686997 BCX0\">Distance (in miles)<\/span><span class=\"NormalTextRun SCXW178686997 BCX0\">\u00a0is the<\/span><span class=\"NormalTextRun SCXW178686997 BCX0\">\u00a0straight-line distance between the nearest point and the city\u00a0<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW178686997 BCX0\">center<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">.\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">It would be more useful if this measured the distance between the nearest point and your new location.\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">For example, p<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">roximity to competition is important to gain customer traction, with a<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">\u00a0shorter distance\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">between your location and a competitor\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">being<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">\u00a0valuable f<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">or customer convenience and accessibility.<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">\u00a0Once you decide which city you want to expand into, try re-running the analysis with s<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">ites\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">represent<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW178686997 BCX0\">ing specific rental properties that you are considering.<\/span><\/span><span class=\"EOP CommentHighlightPipeRest SCXW178686997 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h4><span data-contrast=\"none\">Site summary table<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">The site summary table\u00a0displays\u00a0the nearby analysis calculations for each of your sites,\u00a0providing\u00a0a\u00a0quick,\u00a0high-level\u00a0summary of key information.\u00a0It is exportable to Excel.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2947568,"id":2947568,"title":"2025-11-10_12-11-05","filename":"2025-11-10_12-11-05.png","filesize":61816,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/mapping\/use-nearby-analysis-to-explore-quick-service-restaurant-qsr-competition-with-arcgis-business-analyst-web-app\/2025-11-10_12-11-05","alt":"Site summary table","author":"321952","description":"","caption":"","name":"2025-11-10_12-11-05","status":"inherit","uploaded_to":2946980,"date":"2025-11-10 17:11:51","modified":"2025-11-10 17:11:59","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1488,"height":331,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","medium-width":464,"medium-height":103,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","medium_large-width":768,"medium_large-height":171,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","large-width":1488,"large-height":331,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","1536x1536-width":1488,"1536x1536-height":331,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","2048x2048-width":1488,"2048x2048-height":331,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05-826x184.png","card_image-width":826,"card_image-height":184,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-10_12-11-05.png","wide_image-width":1488,"wide_image-height":331}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">The\u00a0nearby analysis calculations provide insight into hyper-local markets. Quick serve restaurant customers typically value the distance to closest location the most, but in suburban settings may drive further for a restaurant more in demand. You could also use these measures to understand the market share.\u00a0Point density (the number of\u00a0restaurant locations per 1,000 households) can be interpreted to understand the\u00a0market&#8217;s\u00a0demand; more restaurants may indicate more local demand\u00a0but also saturated competition.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">In conclusion<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">In this\u00a0article, you learned how to use the new nearby analysis workflow in Business Analyst Web App to understand the quick serve restaurant market in\u00a0a few\u00a0suburbs of Charlotte.\u00a0The results show that the three suburbs (Gastonia, Monroe, and Concord)\u00a0each have different qualities.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Gastonia has the\u00a0highest number of\u00a0restaurants\u00a0close to the center of the city.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Monroe has the\u00a0fewest\u00a0restaurants\u00a0while also having the\u00a0most\u00a0restaurants\u00a0per 1,000\u00a0households.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Concord has the longest distance\u00a0from the city center\u00a0to a QSR\u00a0and the\u00a0fewest\u00a0restaurants per household.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Depending on your business criteria, you could explore spending potential in Concord to see if it\u00a0is an\u00a0untapped market,\u00a0add your name to the mix in Gastonia with a location closer to customers, or compare your business against local\u00a0competitors in\u00a0Monroe.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">This workflow will continue to be developed to improve your mapping and analysis experience.\u00a0Let us know what else we can do by sharing your ideas in the comments section below or posting on\u00a0<\/span><a href=\"https:\/\/community.esri.com\/t5\/arcgis-business-analyst-ideas\/idb-p\/arcgis-business-analyst-ideas\"><span data-contrast=\"none\">Esri Community<\/span><\/a><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">This article uses\u00a0Places data from Data Axle and basemaps provided by Esri.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"none\">This article uses ArcGIS Business Analyst Web App Advanced.\u00a0<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"}],"related_articles":[{"ID":2944401,"post_author":"341682","post_date":"2025-10-22 07:00:10","post_date_gmt":"2025-10-22 14:00:10","post_content":"","post_title":"What's new in ArcGIS Business Analyst Web App October 2025","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-business-analyst-web-app-october-2025","to_ping":"","pinged":"","post_modified":"2025-11-10 12:45:52","post_modified_gmt":"2025-11-10 20:45:52","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2944401","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2560722,"post_author":"321952","post_date":"2024-11-14 06:39:08","post_date_gmt":"2024-11-14 14:39:08","post_content":"","post_title":"Use new POI search capabilities to 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07:01:39","post_modified_gmt":"2025-08-18 14:01:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1107751","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"1","filter":"raw"}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Untitled-design-5.png","wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Use nearby analysis to explore Quick Service Restaurant (QSR) competition with ArcGIS Business Analyst Web App<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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