{"id":2965001,"date":"2026-05-18T13:25:41","date_gmt":"2026-05-18T20:25:41","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2965001"},"modified":"2026-05-20T07:56:15","modified_gmt":"2026-05-20T14:56:15","slug":"customerdemographicprofiles_bapro","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/business\/customerdemographicprofiles_bapro","title":{"rendered":"A new way to quickly build customer demographic profiles in ArcGIS Business Analyst"},"author":374092,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37171,37141],"tags":[24311,32531,266462,33021],"industry":[],"product":[36711,36561],"class_list":["post-2965001","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-business","category-decision-support","tag-analysis","tag-demographic-analysis","tag-esri-demographics","tag-infographics","product-bus-analyst","product-arcgis-pro"],"acf":{"authors":[{"ID":374092,"user_firstname":"Emily","user_lastname":"Knish-Anderson","nickname":"Emily Knish-Anderson","user_nicename":"eknishesri-com_esriinc","display_name":"Emily Knish-Anderson","user_email":"EKnish@esri.com","user_url":"","user_registered":"2025-06-25 20:17:44","user_description":"Emily is a Sr. Product Engineer on the Business Analyst team focusing on Business Analyst Pro and she also assists with the Business Analyst Web App. Prior to this role she worked with many organizations across the commercial industry to help them understand the power and value of GIS.","user_avatar":""}],"short_description":"The new Generate Customer Demographic Profile Report tool creates an infographic that summarizes the average demographics of a customer layer.","flexible_content":[{"acf_fc_layout":"content","content":"

Understanding the demographics of your customer base is\u00a0<\/span>more\u00a0<\/span>important\u00a0<\/span>than ever. With changes in customer spending and habits, it is\u00a0essential\u00a0to stay on top of these\u00a0<\/span>trends\u00a0to understand how to best support your customers.<\/span>\u00a0<\/span><\/p>\n

New with the Business Analyst Pro 3.7 release<\/span>:<\/span>\u00a0the\u00a0<\/span>Generate Customer Demographic Profile Report tool<\/a>. This new tool (with\u00a0maybe one\u00a0of the longest geoprocessing tool names?)\u00a0gives\u00a0users the ability to create an infographic report that\u00a0summarizes the average demographics of\u00a0<\/span>a\u00a0<\/span>customer layer.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2965120,"id":2965120,"title":"blog_banner_overflow_report","filename":"blog_banner_overflow_report.png","filesize":1529077,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/business\/customerdemographicprofiles_bapro\/blog_banner_overflow_report","alt":"","author":"374092","description":"","caption":"","name":"blog_banner_overflow_report","status":"inherit","uploaded_to":2965001,"date":"2026-05-07 17:41:09","modified":"2026-05-07 17:41:09","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":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report.png","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report.png","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report.png","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report-1536x864.png","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report.png","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report-826x465.png","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/blog_banner_overflow_report.png","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

A couple\u00a0things\u00a0to note\u00a0about\u00a0the release of this new tool<\/span><\/b>\u00a0<\/span><\/h3>\n

The Generate Customer Demographic Profile\u00a0<\/span>Report tool\u00a0<\/span>is only available with\u00a0local data<\/strong>\u00a0for\u00a0the\u00a0The\u00a0United States\u00a0and Canada<\/span>,<\/span>\u00a0since\u00a0<\/span>it\u2019s<\/span>\u00a0a part of the Target Marketing\u00a0<\/span>t<\/span>oolset. There is a default template that\u00a0is specific to this tool\u00a0for the local USA\u00a0data,<\/span>\u00a0but<\/span>\u00a0it is not included in the 2025 local data\u00a0<\/span>download<\/span>.\u00a0<\/span>Check out<\/span>\u00a0this Knowledge Base\u00a0<\/span>a<\/span>rticle with a couple easy steps to install this template: <\/span>Add and configure Customer Demographic Profile Report template.<\/a><\/p>\n

Canadian local data users can use the tool\u00a0with the\u00a0<\/span>Customer\u00a0<\/span>Demographic Profile template, or another template of choice (even custom<\/span>\u00a0ones<\/span>). Users want to be mindful of what variables are being calculated in the infographic reports; this tool calculates a weighted average per geography unit. So, it is best to use report templates that do not include total counts or sums of variables because this can be misleading. <\/span>For more information, read the Calculations section<\/a> of the tool’s help documentation.<\/span><\/p>\n

So, what does this tool\u00a0do<\/span><\/b>,<\/span><\/b>\u00a0exactly?<\/span><\/b>\u00a0<\/span><\/h3>\n

The\u00a0<\/span>Customer Demographic P<\/span>rofile report provides a portrait of your \u201caverage\u201d customer based on th<\/span>e<\/span>\u00a0geographic locations\u00a0<\/span>of your existing customers<\/span>.\u00a0<\/span>Using a customer point layer as an\u00a0input<\/span>,<\/span>\u00a0th<\/span>e<\/span>\u00a0tool calculates the average\u00a0demographics from the standard geographies that the points fall into<\/span>\u00a0<\/span>(<\/span>block group<\/span>s<\/span>\u00a0by default<\/span>)<\/span>.\u00a0The average is weighted based on\u00a0<\/span>the\u00a0<\/span>count\u00a0of customers<\/span>\u00a0in each respective block group<\/span>, to make sure the\u00a0final variable calculations represent\u00a0the majority of\u00a0your customer base.\u00a0If you would like\u00a0the final result\u00a0to be weighted differently,\u00a0<\/span>such as\u00a0<\/span>by sales or visits, you can assign that field in the \u201cWeight Field\u201d parameter in the tool.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2965132,"id":2965132,"title":"CDPR Tool","filename":"CDPR-Tool.gif","filesize":12180807,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/business\/customerdemographicprofiles_bapro\/cdpr-tool","alt":"A .gif image of a workflow example using this new geoprocessing tool. The user is populating the parameters with the necessary information to run the tool.","author":"374092","description":"The Generate Customer Demographic Profile Report tool.","caption":"The Generate Customer Demographic Profile Report tool.","name":"cdpr-tool","status":"inherit","uploaded_to":2965001,"date":"2026-05-07 18:22:23","modified":"2026-05-07 18:22:46","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\/2026\/05\/CDPR-Tool-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","large-width":1280,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","1536x1536-width":1280,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","2048x2048-width":1280,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/CDPR-Tool.gif","wide_image-width":1280,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

The result<\/span>\u00a0is an infographic report that summarizes the\u00a0<\/span>demographics of your customer layer. This\u00a0<\/span>brings to<\/span>\u00a0light key information about\u00a0<\/span>households<\/span>, how they spend their money, how they make their money,\u00a0<\/span>education level, and\u00a0<\/span>even<\/span>\u00a0top<\/span>\u00a0Tapestry segment<\/span>s<\/span>.<\/span> You can view a sample of this report here.<\/a><\/span><\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

Compare two different customer layers<\/h3>\n

Another way to use this tool is to run a comparison between two customer layers, <\/span>illustrating<\/span>\u00a0how two separate customer layers might differ. For example,\u00a0<\/span>you might\u00a0<\/span>compar<\/span>e:<\/span><\/p>\n