{"id":4547,"date":"2024-02-13T16:00:20","date_gmt":"2024-02-13T16:00:20","guid":{"rendered":"https:\/\/scholarblogs.emory.edu\/gbsl\/?p=4547"},"modified":"2024-02-12T22:10:50","modified_gmt":"2024-02-12T22:10:50","slug":"simplyanalytics-finding-and-using-claritas-prizm-premier-data","status":"publish","type":"post","link":"https:\/\/scholarblogs.emory.edu\/gbsl\/simplyanalytics-finding-and-using-claritas-prizm-premier-data\/","title":{"rendered":"SimplyAnalytics: Finding and Using Claritas PRIZM Premier Data"},"content":{"rendered":"<p><a href=\"https:\/\/scholarblogs.emory.edu\/gbsl\/files\/2020\/04\/simplyanalytics.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-2367 alignleft\" src=\"https:\/\/scholarblogs.emory.edu\/gbsl\/files\/2020\/04\/simplyanalytics-300x79.png\" alt=\"\" width=\"300\" height=\"79\" srcset=\"https:\/\/scholarblogs.emory.edu\/gbsl\/files\/2020\/04\/simplyanalytics-300x79.png 300w, https:\/\/scholarblogs.emory.edu\/gbsl\/files\/2020\/04\/simplyanalytics-768x203.png 768w, https:\/\/scholarblogs.emory.edu\/gbsl\/files\/2020\/04\/simplyanalytics.png 788w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/libraries.emory.edu\/business\/research-learning\/databases\/simplyanalytics\">SimplyAnalytics<\/a> enables you to create heatmaps, rankings, and tables using personas with Claritas lifestyle segmentation data.<\/p>\n<p>Claritas uses consumer behaviors data to create 68 different market segments to help target customers throughout the United States, and this data is browsable using <a href=\"https:\/\/claritas360.claritas.com\/mybestsegments\/\">Claritas My Best Segments filtering tool<\/a>.<\/p>\n<p>Once you&#8217;ve selected the segment you wish to target, you can map it in SimplyAnalytics to target your specific geographic focus, and add additional critera.<\/p>\n<p>For search tips finding Claritas segments, check out this video, <a href=\"https:\/\/www.youtube.com\/watch?v=wh4wR-ATtxw\">SimplyAnalytics: Finding Claritas PRIZM Premier Data<\/a> from Columbia College Chicago Library (7:23)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SimplyAnalytics enables you to create heatmaps, rankings, and tables using personas with Claritas lifestyle segmentation data. Claritas uses consumer behaviors data to create 68 different market segments to help target customers throughout the United States, and this data is browsable using Claritas My Best Segments filtering tool. Once you&#8217;ve selected the segment you wish to <a class=\"more-link\" href=\"https:\/\/scholarblogs.emory.edu\/gbsl\/simplyanalytics-finding-and-using-claritas-prizm-premier-data\/\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1456,"featured_media":2367,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[36,69],"tags":[],"class_list":["post-4547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-updates","category-resources-research-tips"],"jetpack_featured_media_url":"https:\/\/scholarblogs.emory.edu\/gbsl\/files\/2020\/04\/simplyanalytics.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/posts\/4547","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/users\/1456"}],"replies":[{"embeddable":true,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/comments?post=4547"}],"version-history":[{"count":2,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/posts\/4547\/revisions"}],"predecessor-version":[{"id":4549,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/posts\/4547\/revisions\/4549"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/media\/2367"}],"wp:attachment":[{"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/media?parent=4547"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/categories?post=4547"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scholarblogs.emory.edu\/gbsl\/wp-json\/wp\/v2\/tags?post=4547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}