{"id":2817342,"date":"2025-07-07T06:53:15","date_gmt":"2025-07-07T13:53:15","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2817342"},"modified":"2025-09-17T10:29:18","modified_gmt":"2025-09-17T17:29:18","slug":"working-with-arcgis-tapestry-data-in-arcgis-business-analyst","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst","title":{"rendered":"Working with ArcGIS Tapestry data in ArcGIS Business Analyst"},"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":[37101],"tags":[780052,780202],"industry":[],"product":[36711,36561,37011],"class_list":["post-2817342","blog","type-blog","status-publish","format-standard","hentry","category-announcements","tag-arcgis-data","tag-tapestry-data","product-bus-analyst","product-arcgis-pro","product-esri-demographics"],"acf":{"authors":[{"ID":78361,"user_firstname":"Gemma","user_lastname":"Goodale-Sussen","nickname":"Gemma Goodale-Sussen","user_nicename":"ggoodalesussen","display_name":"Gemma Goodale-Sussen","user_email":"ggoodalesussen@esri.com","user_url":"","user_registered":"2020-08-06 15:49:58","user_description":"Gemma is a writer at Esri, focusing on content for the ArcGIS Business Analyst team.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/08\/20180531_171833_2-e1596730690224-213x200.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":"You can use ArcGIS Tapestry data in ArcGIS Business Analyst through mapping and analysis workflows as well as infographics and reports.","flexible_content":[{"acf_fc_layout":"content","content":"<p><a href=\"https:\/\/doc.arcgis.com\/en\/esri-demographics\/latest\/esri-demographics\/tapestry-segmentation.htm\" target=\"_blank\" rel=\"noopener\"><span class=\"TextRun SCXW259459281 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW259459281 BCX0\" data-ccp-parastyle=\"No Spacing\">ArcGIS Tapestry data<\/span><\/span><\/a><span class=\"TextRun SCXW259459281 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"> <span class=\"NormalTextRun SCXW259459281 BCX0\" data-ccp-parastyle=\"No Spacing\">contains<\/span><span class=\"NormalTextRun SCXW259459281 BCX0\" data-ccp-parastyle=\"No Spacing\"> detailed summaries of communities across the United States. This dataset groups residential areas into segments based on shared demographic, socioeconomic, and lifestyle characteristics. Neighborhoods with the most similar characteristics are grouped together, and neighborhoods showing divergent characteristics are separated. <\/span><span class=\"NormalTextRun SCXW259459281 BCX0\" data-ccp-parastyle=\"No Spacing\">It can be used to understand a community&#8217;s complexity since each segment provides insight into patterns at the neighborhood and community level and can be used to compare segments and groups<\/span><span class=\"NormalTextRun SCXW259459281 BCX0\" data-ccp-parastyle=\"No Spacing\">.\u00a0<\/span><\/span><span class=\"EOP SCXW259459281 BCX0\" data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"<p><span class=\"TextRun SCXW163896053 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW163896053 BCX0\" data-ccp-parastyle=\"No Spacing\">For information on the latest generation of Tapestry, see<\/span><\/span><span class=\"TextRun Highlight SCXW163896053 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"> <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/announcements\/whats-new-in-tapestry\" target=\"_blank\" rel=\"noopener\"><span class=\"NormalTextRun SCXW163896053 BCX0\" data-ccp-parastyle=\"No Spacing\">What&#8217;s new in Tapestry<\/span><\/a><span class=\"NormalTextRun SCXW163896053 BCX0\" data-ccp-parastyle=\"No Spacing\">.<\/span><\/span><span class=\"EOP SCXW163896053 BCX0\" data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">You can use <\/span><span data-contrast=\"none\">ArcGIS Tapestry<\/span><span data-contrast=\"auto\"> data in ArcGIS Business Analyst through mapping and analysis workflows as well as infographics and reports. <\/span><span data-contrast=\"auto\">In this blog article, you\u2019ll walk through using Tapestry data in Business Analyst Web App to map <\/span><span data-contrast=\"auto\">the Dominant Tapestry Segment variable at the census tract level. You\u2019ll also use Business Analyst Pro to map your best customers and apply Tapestry data analysis to locate more of them in a new market.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\"> You can use the following links to jump to the different sections of this article:<\/span><\/p>\n<ul>\n<li><a href=\"#tapestry-mapping-analysis\">ArcGIS Tapestry data in mapping and analysis workflows<\/a><\/li>\n<li><a href=\"#tapestry-web-app\">Using ArcGIS Tapestry data in Business Analyst Web App<\/a><\/li>\n<li><a href=\"#tapestry-ba-pro\">Using ArcGIS Tapestry data in Business Analyst Pro<\/a><\/li>\n<li><a href=\"#tapestry-infographics-reports\">ArcGIS Tapestry data in infographics and classic reports<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3 id=\"tapestry-mapping-analysis\">ArcGIS Tapestry data in mapping and analysis workflows<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\">You can access <\/span><span data-contrast=\"none\">ArcGIS Tapestry<\/span><span data-contrast=\"auto\"> data through Business Analyst mapping and analysis workflows that use the data browser, as listed below.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoTableGrid\" data-tablelook=\"1696\">\n<tbody>\n<tr>\n<td data-celllook=\"65536\"><b><span data-contrast=\"auto\">Business Analyst Web App and Business Analyst Enterprise<\/span><\/b><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"65536\"><b><span data-contrast=\"auto\">Business Analyst Pro<\/span><\/b><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"65536\"><b><span data-contrast=\"auto\">Business Analyst Mobile App<\/span><\/b><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\">\n<ul>\n<li><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/color-coded-maps.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Color-coded maps<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/smart-map-search.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Smart map search<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/suitability-analysis.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Suitability analysis<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/void-analysis.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Void analysis<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/threshold-areas.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Threshold areas<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/building-reports.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Build reports<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/building-infographic-reports.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Build infographics<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<td data-celllook=\"0\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/color-coded-layer.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Create a color-coded layer<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/enrich-layer.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Enrich a layer<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/generate-grids-and-hexagons.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Generate grids and hexagons<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/understanding-suitability-analysis.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Perform a suitability analysis<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/generate-data-driven-trade-areas.htm#ESRI_SECTION1_917CA69309C54CA8BB60BC4D471E6877\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Create threshold areas<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/analyze-and-resolve-relationships-between-trade-areas.htm#ESRI_SECTION1_C30D73392D964D51A8B606128A8A6E8F\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Measure polygon overlap<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/build-infographic-templates.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Build infographic templates<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.4\/help\/analysis\/business-analyst\/build-report-templates.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Build report templates<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"8\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/target-marketing.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Perform target marketing<\/span><\/a><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<td data-celllook=\"0\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"17\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/mobile\/facts.htm#ESRI_SECTION1_C30D73392D964D51A8B606128A8A6E8F\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">View facts<\/span><\/a><span data-contrast=\"auto\"> using the <\/span><b><span data-contrast=\"auto\">Dominant Tapestry Segment <\/span><\/b><span data-contrast=\"auto\">variable<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240,&quot;335559991&quot;:360}\">\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"auto\">In some workflows that use the data browser, you may not be able to use every Tapestry variable. For instance, benchmark comparisons use numeric scores in the analysis. Since the Dominant Tapestry Segment variable is text-based, this variable cannot be used in a benchmark comparison.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<h3 id=\"tapestry-web-app\">Using ArcGIS Tapestry data in Business Analyst Web App<\/h3>\n<p><span data-contrast=\"none\">You can use ArcGIS Tapestry data in Business Analyst Web App. An example is for product marketing professionals to create a marketing campaign that speaks directly to customers as informed by their community\u2019s dominant Tapestry segment. You\u2019ll <\/span><span data-contrast=\"auto\">create a <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/color-coded-maps.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">color-coded map<\/span><\/a><span data-contrast=\"auto\"> using the Dominant Tapestry Segment variable at the block group level in Orlando, Florida.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Make sure that the latest data source is used: <\/span><b><span data-contrast=\"auto\">Esri 2025<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2817382,"id":2817382,"title":"2025-05-28_09-44-10","filename":"2025-05-28_09-44-10.png","filesize":7897,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/2025-05-28_09-44-10","alt":"Use the Esri 2025 data source.","author":"321952","description":"","caption":"","name":"2025-05-28_09-44-10","status":"inherit","uploaded_to":2817342,"date":"2025-06-02 16:38:20","modified":"2025-06-02 16:38:24","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":600,"height":62,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10-213x62.png","thumbnail-width":213,"thumbnail-height":62,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","medium-width":464,"medium-height":48,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","medium_large-width":600,"medium_large-height":62,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","large-width":600,"large-height":62,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","1536x1536-width":600,"1536x1536-height":62,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","2048x2048-width":600,"2048x2048-height":62,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","card_image-width":600,"card_image-height":62,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-44-10.png","wide_image-width":600,"wide_image-height":62}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW185984123 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">Set the a<\/span><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">rea of interest<\/span><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\"> to Orl<\/span><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">ando City, FL,<\/span> <span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">and use <\/span><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">block group<\/span><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">s as <\/span><span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">the<\/span> <span class=\"NormalTextRun SCXW185984123 BCX0\" data-ccp-parastyle=\"No Spacing\">level of detail.\u00a0<\/span><\/span><span class=\"EOP SCXW185984123 BCX0\" data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2817402,"id":2817402,"title":"2025-05-28_09-46-21","filename":"2025-05-28_09-46-21.png","filesize":20826,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/2025-05-28_09-46-21","alt":"Set your area of interest and level of detail.","author":"321952","description":"","caption":"","name":"2025-05-28_09-46-21","status":"inherit","uploaded_to":2817342,"date":"2025-06-02 16:40:09","modified":"2025-06-02 16:40:13","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":368,"height":256,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","medium-width":368,"medium-height":256,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","medium_large-width":368,"medium_large-height":256,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","large-width":368,"large-height":256,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","1536x1536-width":368,"1536x1536-height":256,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","2048x2048-width":368,"2048x2048-height":256,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","card_image-width":368,"card_image-height":256,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-46-21.png","wide_image-width":368,"wide_image-height":256}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">Click <\/span><\/span><span class=\"TextRun SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\"><strong>Browse all variables<\/strong> <\/span><\/span><span class=\"TextRun SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">to browse the data browser and search for <span style=\"text-decoration: underline\">t<\/span><\/span><\/span><span style=\"text-decoration: underline\"><span class=\"TextRun Underlined SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">apestry<\/span><\/span><\/span><span class=\"TextRun SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">. There are over 700 matching results! For this exercise, you will use the <\/span><\/span><span class=\"TextRun SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\"><strong>2025 Dominant Tapestry Segment (Esri)<\/strong> <\/span><\/span><span class=\"TextRun SCXW104696717 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">variable. Click it to add it<\/span><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">. T<\/span><span class=\"NormalTextRun SCXW104696717 BCX0\" data-ccp-parastyle=\"No Spacing\">he color-coded map is automatically created.<\/span><\/span><span class=\"EOP SCXW104696717 BCX0\" data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"<p><span data-contrast=\"auto\">You may notice that there are some variables that have \u201cname\u201d in the title, such as the <\/span><b><span data-contrast=\"auto\">2025 Dominant Tapestry Segment Name (Esri)<\/span><\/b><span data-contrast=\"auto\"> variable. ArcGIS Tapestry data uses both alphanumeric codes and segment names. <\/span><span data-contrast=\"auto\">You can set your app <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/set-preferences.htm#ESRI_SECTION1_75E279A04D4B4BF2B841552B2E78B0F7\"><span data-contrast=\"none\">preferences<\/span><\/a><span data-contrast=\"auto\"> to display segment names or turn them off.\u00a0<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW61334434 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW61334434 BCX0\" data-ccp-parastyle=\"No Spacing\">The resulting color-coded map shows a detailed view of the segments in <\/span><span class=\"NormalTextRun SCXW61334434 BCX0\" data-ccp-parastyle=\"No Spacing\">central Florida.<\/span><\/span><span class=\"EOP SCXW61334434 BCX0\" data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2874052,"id":2874052,"title":"2025-07-02_09-50-36","filename":"2025-07-02_09-50-36.png","filesize":366949,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/2025-07-02_09-50-36","alt":"Visualizing the Dominant Tapestry variable in central Florida.","author":"321952","description":"","caption":"","name":"2025-07-02_09-50-36","status":"inherit","uploaded_to":2817342,"date":"2025-07-02 13:51:41","modified":"2025-07-02 13:52:09","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":910,"height":694,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","medium-width":342,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","medium_large-width":768,"medium_large-height":586,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","large-width":910,"large-height":694,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","1536x1536-width":910,"1536x1536-height":694,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","2048x2048-width":910,"2048x2048-height":694,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36-610x465.png","card_image-width":610,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_09-50-36.png","wide_image-width":910,"wide_image-height":694}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">You can continue exploring Tapestry segments for the block groups in Orlando. For instance, if you\u2019re interested in targeted advertising in the Callahan neighborhood, click its associated block group. The site pop-up shows that its dominant segment is <b>C2: Kids and Kin<\/b>.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2874852,"id":2874852,"title":"2025-07-02_13-28-45","filename":"2025-07-02_13-28-45.png","filesize":89202,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/2025-07-02_13-28-45","alt":"The site pop-up shows the block group's Dominant Tapestry segment.","author":"321952","description":"","caption":"","name":"2025-07-02_13-28-45","status":"inherit","uploaded_to":2817342,"date":"2025-07-02 17:33:24","modified":"2025-07-02 17:33:52","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":565,"height":374,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","medium-width":394,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","medium_large-width":565,"medium_large-height":374,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","large-width":565,"large-height":374,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","1536x1536-width":565,"1536x1536-height":374,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","2048x2048-width":565,"2048x2048-height":374,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","card_image-width":565,"card_image-height":374,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-28-45.png","wide_image-width":565,"wide_image-height":374}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">This segment is characterized as young, educated, metropolitan renter households. For more information, run the <\/span><b><span data-contrast=\"auto\">Tapestry Profile <\/span><\/b><span data-contrast=\"auto\">infographic.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The infographic provides an overview of which segments are represented in the block group, as well as additional data about the age of residents and household income. An advertising agency could use this information to create targeted campaigns that market to specific types of shoppers.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2874872,"id":2874872,"title":"2025-07-02_13-31-31","filename":"2025-07-02_13-31-31.png","filesize":254684,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/2025-07-02_13-31-31","alt":"Run the Tapestry Profile infographic.","author":"321952","description":"","caption":"","name":"2025-07-02_13-31-31","status":"inherit","uploaded_to":2817342,"date":"2025-07-02 17:34:00","modified":"2025-07-02 17:34:09","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":1377,"height":836,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","medium-width":430,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","medium_large-width":768,"medium_large-height":466,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","large-width":1377,"large-height":836,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","1536x1536-width":1377,"1536x1536-height":836,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","2048x2048-width":1377,"2048x2048-height":836,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31-766x465.png","card_image-width":766,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-07-02_13-31-31.png","wide_image-width":1377,"wide_image-height":836}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW17001370 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">There are countless other ways to <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">utilize<\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\"> Tapestry segment data in Business Analyst Web App. <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">For example, y<\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">ou could map points of interest then create a color-coded map layer to assess if competitive businesses <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">are in<\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\"> areas reaching their target customers. <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">Or<\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\"> yo<\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">u could <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">run infographics to assess if <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">resources<\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\"> are being delivered to vulnerable communities. <\/span><span class=\"NormalTextRun SCXW17001370 BCX0\" data-ccp-parastyle=\"No Spacing\">You can even use Tapestry data in other Business Analyst products, like Business Analyst Pro.<\/span><\/span><span class=\"EOP SCXW17001370 BCX0\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3 id=\"tapestry-ba-pro\">Using ArcGIS Tapestry data in Business Analyst Pro<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\">One of the unique aspects of ArcGIS Tapestry data is its ability to present a three-dimensional, more human, picture of a group than any single variable could. Each Tapestry segment is a compilation of thousands of variables, sketching a \u201ctype\u201d of consumer rather than reducing them to a solitary\/sole behavioral or spending trait.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Instead of predicting sales by mapping one spending variable, a business can use Tapestry segments to understand the lifestyles and spending patterns of its best customers. Rather than assessing health-care attitudes with a simple map of health insurance coverage, a hospital might narrow their analysis to Tapestry segments at a certain life stage, or with household sizes that are increasing.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This more nuanced view of people makes ArcGIS Tapestry data a powerful predictive tool, capable of answering the age-old questions: \u201cWho are my best customers, and where can I find more of them?\u201d For example, let\u2019s say you\u2019ve created a <\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/color-coded-layer.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">color-coded layer<\/span><\/a><span data-contrast=\"auto\"> that maps your company\u2019s sales data in southeastern Pennsylvania using <\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/getting-started-with-business-analyst-pro.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">ArcGIS Business Analyst Pro<\/span><\/a><span data-contrast=\"auto\">.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2817442,"id":2817442,"title":"Picture3","filename":"Picture3.jpg","filesize":71076,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/picture3-70","alt":"Color-coded layer of sales data","author":"321952","description":"","caption":"","name":"picture3-70","status":"inherit","uploaded_to":2817342,"date":"2025-06-02 16:43:26","modified":"2025-06-02 16:43:30","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":780,"height":388,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","medium-width":464,"medium-height":231,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","medium_large-width":768,"medium_large-height":382,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","large-width":780,"large-height":388,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","1536x1536-width":780,"1536x1536-height":388,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","2048x2048-width":780,"2048x2048-height":388,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","card_image-width":780,"card_image-height":388,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture3.jpg","wide_image-width":780,"wide_image-height":388}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Great! You see right away that the darker green block groups in Pittsburgh have much higher sales volume than anywhere else in your market. This gives you an idea of where your best customers are located\u2026but what now? Who are they?<\/p>\n<p>In a few clicks, you create a color-coded layer, setting your area of interest to the city of Pittsburgh, showing the dominant Tapestry segment for each block group in the city. You focus on the two locations with the highest sales.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2868712,"id":2868712,"title":"D24036C3-B32E-466D-966A-B863A27DFE27","filename":"D24036C3-B32E-466D-966A-B863A27DFE27.gif","filesize":3171844,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/d24036c3-b32e-466d-966a-b863a27dfe27","alt":"Animation showing dominant Tapestry segments in Pittsburgh block groups","author":"78361","description":"","caption":"","name":"d24036c3-b32e-466d-966a-b863a27dfe27","status":"inherit","uploaded_to":2817342,"date":"2025-06-30 20:15:39","modified":"2025-06-30 20:15:57","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":1596,"height":810,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27.gif","medium-width":464,"medium-height":235,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27.gif","medium_large-width":768,"medium_large-height":390,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27.gif","large-width":1596,"large-height":810,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27-1536x780.gif","1536x1536-width":1536,"1536x1536-height":780,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27.gif","2048x2048-width":1596,"2048x2048-height":810,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27-826x419.gif","card_image-width":826,"card_image-height":419,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/D24036C3-B32E-466D-966A-B863A27DFE27.gif","wide_image-width":1596,"wide_image-height":810}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Ok, now the picture is getting sketched in a bit. In the color-coded layer containing the sales data, you <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/mapping\/navigation\/select-features-using-attributes.htm\" target=\"_blank\" rel=\"noopener\">select features by attributes<\/a>, creating the expression \u201cWhere Total Sales is greater than 16500\u201d:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2817462,"id":2817462,"title":"Picture5","filename":"Picture5.jpg","filesize":33282,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/picture5-51","alt":"Selecting features by attributes","author":"321952","description":"","caption":"","name":"picture5-51","status":"inherit","uploaded_to":2817342,"date":"2025-06-02 16:44:25","modified":"2025-06-02 16:44:29","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":494,"height":368,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","medium-width":350,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","medium_large-width":494,"medium_large-height":368,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","large-width":494,"large-height":368,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","1536x1536-width":494,"1536x1536-height":368,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","2048x2048-width":494,"2048x2048-height":368,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","card_image-width":494,"card_image-height":368,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Picture5.jpg","wide_image-width":494,"wide_image-height":368}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>And voila! You immediately realize that your best customers appear to be from two segments, D4 and B1.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2868722,"id":2868722,"title":"Snag_15cca5df","filename":"Snag_15cca5df.png","filesize":1028672,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/snag_15cca5df","alt":"Dominant Tapestry segments in top sales regions","author":"78361","description":"","caption":"","name":"snag_15cca5df","status":"inherit","uploaded_to":2817342,"date":"2025-06-30 20:16:46","modified":"2025-06-30 20:17:00","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":1432,"height":809,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","medium-width":462,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","medium_large-width":768,"medium_large-height":434,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","large-width":1432,"large-height":809,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","1536x1536-width":1432,"1536x1536-height":809,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","2048x2048-width":1432,"2048x2048-height":809,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df-823x465.png","card_image-width":823,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15cca5df.png","wide_image-width":1432,"wide_image-height":809}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Seeing that these two segments represent some of your best customers, you decide to learn more about Segment D4 by running the Dominant Tapestry Profile infographic.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2868752,"id":2868752,"title":"Snag_15d5539d","filename":"Snag_15d5539d.png","filesize":316763,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/snag_15d5539d","alt":"Dominant Tapestry Profile infographic","author":"78361","description":"","caption":"","name":"snag_15d5539d","status":"inherit","uploaded_to":2817342,"date":"2025-06-30 20:26:14","modified":"2025-06-30 20:26:30","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":1230,"height":951,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","medium-width":338,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","medium_large-width":768,"medium_large-height":594,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","large-width":1230,"large-height":951,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","1536x1536-width":1230,"1536x1536-height":951,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","2048x2048-width":1230,"2048x2048-height":951,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d-601x465.png","card_image-width":601,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d5539d.png","wide_image-width":1230,"wide_image-height":951}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Interesting! Your best customers are young, educated professionals in urban rentals. You also visit the <a href=\"https:\/\/doc.arcgis.com\/en\/esri-demographics\/latest\/esri-demographics\/tapestry-segmentation.htm\" target=\"_blank\" rel=\"noopener\">ArcGIS Tapestry help documentation<\/a> to read about these residents and important data points for them.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2868792,"id":2868792,"title":"Snag_15d965ca","filename":"Snag_15d965ca.png","filesize":86179,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/snag_15d965ca","alt":"Help documentation on Segment D4","author":"78361","description":"","caption":"","name":"snag_15d965ca","status":"inherit","uploaded_to":2817342,"date":"2025-06-30 20:30:41","modified":"2025-06-30 20:30:56","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":868,"height":1002,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","medium-width":226,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","medium_large-width":768,"medium_large-height":887,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","large-width":868,"large-height":1002,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","1536x1536-width":868,"1536x1536-height":1002,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","2048x2048-width":868,"2048x2048-height":1002,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca-403x465.png","card_image-width":403,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15d965ca.png","wide_image-width":868,"wide_image-height":1002}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/doc.arcgis.com\/en\/esri-demographics\/latest\/esri-demographics\/lifemode-group-d.htm#ESRI_SECTION1_1A5400CDFBF5473EA1B3A3B029CB7068"},{"acf_fc_layout":"content","content":"<p>Finally, having studied up on your beloved customers, you decide to find more of them in a new market: Philadelphia. You create a color-coded layer (yes, a third one!) mapping households in Segment D4 and discover a dense pocket of these folks in the east-central part of the city.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2868922,"id":2868922,"title":"Snag_15f34979","filename":"Snag_15f34979.png","filesize":1383449,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/snag_15f34979","alt":"Segment D4 in Philadelphia, mapped at the block group level by count","author":"78361","description":"","caption":"","name":"snag_15f34979","status":"inherit","uploaded_to":2817342,"date":"2025-06-30 20:58:58","modified":"2025-06-30 20:59:22","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":1680,"height":802,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979.png","medium-width":464,"medium-height":222,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979.png","medium_large-width":768,"medium_large-height":367,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979.png","large-width":1680,"large-height":802,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979-1536x733.png","1536x1536-width":1536,"1536x1536-height":733,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979.png","2048x2048-width":1680,"2048x2048-height":802,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979-826x394.png","card_image-width":826,"card_image-height":394,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15f34979.png","wide_image-width":1680,"wide_image-height":802}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>You\u2019ve now learned about who your customers are, and pinpointed additional locations where there are a lot of them. If you\u2019re a Business Analyst Pro user already, this process may feel familiar: it\u2019s a simplified version of the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/business-analyst\/target-marketing.htm\" target=\"_blank\" rel=\"noopener\">target marketing workflow<\/a>, which leverages Tapestry data to create and analyze customer profiles.<\/p>\n<p>For more information on using Tapestry data in Business Analyst Pro, see:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/business\/drive-customer-growth-with-target-marketing-in-arcgis-business-analyst-pro\" target=\"_blank\" rel=\"noopener\">Drive customer growth with target marketing in ArcGIS Business Analyst Pro<\/a><\/li>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/business\/business-analyst-target-marketing-wizard-find-customers-in-new-area\" target=\"_blank\" rel=\"noopener\">Use Business Analyst&#8217;s Target Marketing Wizard to find customers in a new area<\/a><\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<h3 id=\"tapestry-infographics-reports\">ArcGIS Tapestry data in infographics and classic reports<\/h3>\n<p>ArcGIS Tapestry data is also the central focus in many Business Analyst <a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/create-infographics-and-reports.htm#ESRI_SECTION1_C30D73392D964D51A8B606128A8A6E8F\" target=\"_blank\" rel=\"noopener\">infographics<\/a> and <a href=\"https:\/\/doc.arcgis.com\/en\/business-analyst\/web\/create-infographics-and-reports.htm#ESRI_SECTION1_4053F2F61B8A4E358C832AE869A2C468\" target=\"_blank\" rel=\"noopener\">classic reports,<\/a> as listed below.<\/p>\n<table style=\"font-weight: 400\" data-tablestyle=\"MsoTableGrid\" data-tablelook=\"1696\">\n<tbody>\n<tr>\n<td data-celllook=\"65536\"><b><span data-contrast=\"auto\">Type<\/span><\/b><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"65536\"><b><span data-contrast=\"auto\">Title<\/span><\/b><span data-ccp-props=\"{&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"6\" data-celllook=\"0\"><span data-contrast=\"auto\">Infographic (Standard)<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Dominant Tapestry Profile<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Tapestry Profile<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Economic Development Profile<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Executive Summary &#8211; Call Outs<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Multi-area Comparison<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Target Market Summary<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"6\" data-celllook=\"0\"><span data-contrast=\"auto\">Infographic (Gallery)<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Tapestry Profile Legacy<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Tapestry Segmentation Profile Report<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Community Profile Report<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Market Profile Report<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Retail Demand Outlook Report<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Retail Goods and Services Expenditures Report<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"7\" data-celllook=\"0\"><span data-contrast=\"auto\">Classic report<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Dominant Tapestry Map<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Dominant Tapestry Map (Hexagons)<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Tapestry Segmentation Profile<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Community Profile<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Market Profile<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Retail Demand Outlook<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Retail Goods and Services Expenditures<\/span><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>In addition to the infographics and classic reports, there are two reusable infographic panels that highlight key Tapestry data:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2868812,"id":2868812,"title":"Snag_15de8b5b","filename":"Snag_15de8b5b.png","filesize":137528,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/snag_15de8b5b","alt":"Tapestry panels in infographic builder","author":"78361","description":"","caption":"","name":"snag_15de8b5b","status":"inherit","uploaded_to":2817342,"date":"2025-06-30 20:36:18","modified":"2025-06-30 20:36:43","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":1259,"height":858,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","medium_large-width":768,"medium_large-height":523,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","large-width":1259,"large-height":858,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","1536x1536-width":1259,"1536x1536-height":858,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","2048x2048-width":1259,"2048x2048-height":858,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b-682x465.png","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Snag_15de8b5b.png","wide_image-width":1259,"wide_image-height":858}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>An example of using a Tapestry-focused infographic is running the <strong>Dominant Tapestry Profile <\/strong>infographic in Business Analyst Web App to study a block group in Montana.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2817502,"id":2817502,"title":"2025-05-28_09-39-56","filename":"2025-05-28_09-39-56.png","filesize":164573,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\/2025-05-28_09-39-56","alt":"Run the Dominant Tapestry Profile infographic for a block group.","author":"321952","description":"","caption":"","name":"2025-05-28_09-39-56","status":"inherit","uploaded_to":2817342,"date":"2025-06-02 16:53:17","modified":"2025-06-02 16:53:21","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":1079,"height":840,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","medium-width":335,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","medium_large-width":768,"medium_large-height":598,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","large-width":1079,"large-height":840,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","1536x1536-width":1079,"1536x1536-height":840,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","2048x2048-width":1079,"2048x2048-height":840,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56-597x465.png","card_image-width":597,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/2025-05-28_09-39-56.png","wide_image-width":1079,"wide_image-height":840}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW259671349 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW259671349 BCX0\">A block group is being used since s<\/span><span class=\"NormalTextRun SCXW259671349 BCX0\">egmentation analysis is most useful when it is hyper-local, so it is recommended to analyze small areas. <\/span><span class=\"NormalTextRun SCXW259671349 BCX0\">For example, analyze sites with drive times or distance profiles within 10 minutes or 10 miles. If you need to compare your site with other geographies, consider using the smallest geographic level of detail, <\/span><span class=\"NormalTextRun SCXW259671349 BCX0\">or even small resolution hexagons, for your analysis.<\/span><\/span><span class=\"EOP SCXW259671349 BCX0\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"<h3><span data-contrast=\"none\">Resources<\/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\">The latest generation of Tapestry data available in Business Analyst is an exciting development in market segmentation. For more information on using Tapestry data, check out the following:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"15\" 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\"><a href=\"https:\/\/doc.arcgis.com\/en\/esri-demographics\/latest\/esri-demographics\/tapestry-segmentation.htm\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">ArcGIS Tapestry<\/span><\/a><span data-contrast=\"auto\"> help documentation<\/span><\/li>\n<\/ul>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false}],"related_articles":[{"ID":2805382,"post_author":"292382","post_date":"2025-06-25 20:55:04","post_date_gmt":"2025-06-26 03:55:04","post_content":"","post_title":"Introducing ArcGIS Tapestry","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"introducing-arcgis-tapestry","to_ping":"","pinged":"","post_modified":"2025-07-01 13:56:15","post_modified_gmt":"2025-07-01 20:56:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2805382","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1772152,"post_author":"78361","post_date":"2022-11-15 11:40:36","post_date_gmt":"2022-11-15 19:40:36","post_content":"","post_title":"Use Tapestry segments to analyze American disadvantage","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"use-tapestry-segments-to-analyze-american-disadvantage","to_ping":"","pinged":"","post_modified":"2025-08-15 07:20:26","post_modified_gmt":"2025-08-15 14:20:26","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1772152","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2805772,"post_author":"317582","post_date":"2025-06-25 23:35:36","post_date_gmt":"2025-06-26 06:35:36","post_content":"","post_title":"What's new in Tapestry","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-tapestry","to_ping":"","pinged":"","post_modified":"2025-09-09 09:33:40","post_modified_gmt":"2025-09-09 16:33:40","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2805772","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/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>Working with ArcGIS Tapestry data in ArcGIS Business Analyst<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/bus-analyst\/announcements\/working-with-arcgis-tapestry-data-in-arcgis-business-analyst\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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