{"id":334,"date":"2022-06-23T08:05:44","date_gmt":"2022-06-23T05:05:44","guid":{"rendered":"https:\/\/quecst.qcri.org\/blog\/?p=334"},"modified":"2022-06-27T12:39:31","modified_gmt":"2022-06-27T09:39:31","slug":"segmentsizeestimator-a-research-tool-of-the-acua-platform","status":"publish","type":"post","link":"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/","title":{"rendered":"SegmentSizeEstimator, a research tool of the Acua Platform"},"content":{"rendered":"<figure id=\"attachment_335\" aria-describedby=\"caption-attachment-335\" style=\"width: 709px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-335 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_2022.png\" alt=\"SegmentSizeEstimator, a research tool of the Acua Platform\" width=\"709\" height=\"162\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_2022.png 709w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_2022-300x69.png 300w\" sizes=\"(max-width: 709px) 100vw, 709px\" \/><figcaption id=\"caption-attachment-335\" class=\"wp-caption-text\"><a href=\"https:\/\/acua.qcri.org\/tool\/SegmentSizeEstimator\">SegmentSizeEstimator, a research tool of the Acua Platform<\/a><\/figcaption><\/figure>\n<p>Wondering what factors contribute to high levels of online engagement?<\/p>\n<p>In our research, we have found that one of the most reliable predictors of level of engagement for an ad, online content, or social media post for a given channel is simply size of the target population.<\/p>\n<p>For example, we&#8217;ve ranked viewers of YouTube channels by country. The ranked list is strongly correlated to country population.<\/p>\n<p>We have developed a tool, <a href=\"https:\/\/acua.qcri.org\/tool\/SegmentSizeEstimator\">SegmentSizeEstimator<\/a>, that estimates world population sizes based on language, biological sex, age, and topics of interest. you can also filter by country and compare population estimates using either Facebook or Twitter profiles. Topics of interest correspond to categories of Facebook or Twitter ads. <a href=\"https:\/\/acua.qcri.org\/tool\/SegmentSizeEstimator\">SegmentSizeEstimator<\/a> is provided as a free service.<\/p>\n<p>Here are some examples of <a href=\"https:\/\/acua.qcri.org\/tool\/SegmentSizeEstimator\">SegmentSizeEstimator<\/a>.<\/p>\n<figure id=\"attachment_336\" aria-describedby=\"caption-attachment-336\" style=\"width: 750px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-336 size-large\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example01_2022-1024x746.png\" alt=\"SegmentSizeEstimator, a research tool of the Acua Platform\" width=\"750\" height=\"546\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example01_2022-1024x746.png 1024w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example01_2022-300x219.png 300w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example01_2022-768x560.png 768w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example01_2022.png 1092w\" sizes=\"(max-width: 750px) 100vw, 750px\" \/><figcaption id=\"caption-attachment-336\" class=\"wp-caption-text\"><a href=\"https:\/\/acua.qcri.org\/tool\/SegmentSizeEstimator\">SegmentSizeEstimator, a research tool of the Acua Platform<\/a>, showing language, interests, sex, and age from Twitter<\/figcaption><\/figure>\n<figure id=\"attachment_337\" aria-describedby=\"caption-attachment-337\" style=\"width: 750px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-337\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example02_2022-1024x474.png\" alt=\"SegmentSizeEstimator, a research tool of the Acua Platform\" width=\"750\" height=\"347\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example02_2022-1024x474.png 1024w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example02_2022-300x139.png 300w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example02_2022-768x355.png 768w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_example02_2022.png 1100w\" sizes=\"(max-width: 750px) 100vw, 750px\" \/><figcaption id=\"caption-attachment-337\" class=\"wp-caption-text\"><a href=\"https:\/\/acua.qcri.org\/tool\/SegmentSizeEstimator\">SegmentSizeEstimator, a research tool of the Acua Platform<\/a>, showing interests, sex, and age Twiter<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wondering what factors contribute to high levels of online engagement? In our research, we have found that one of the most reliable predictors of level of engagement for an ad, online content, or social media post for a given channel is simply size of the target population. For example, we&#8217;ve ranked viewers of YouTube channels&hellip; <a class=\"more-link\" href=\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\">Continue reading <span class=\"screen-reader-text\">SegmentSizeEstimator, a research tool of the Acua Platform<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>SegmentSizeEstimator, a research tool of the Acua Platform - Team Acua<\/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:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SegmentSizeEstimator, a research tool of the Acua Platform - Team Acua\" \/>\n<meta property=\"og:description\" content=\"Wondering what factors contribute to high levels of online engagement? In our research, we have found that one of the most reliable predictors of level of engagement for an ad, online content, or social media post for a given channel is simply size of the target population. For example, we&#8217;ve ranked viewers of YouTube channels&hellip; Continue reading SegmentSizeEstimator, a research tool of the Acua Platform\" \/>\n<meta property=\"og:url\" content=\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\" \/>\n<meta property=\"og:site_name\" content=\"Team Acua\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-23T05:05:44+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-06-27T09:39:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/acua_segmentsizeestimator_2022.png\" \/>\n<meta name=\"author\" content=\"Jim Jansen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jim Jansen\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\"},\"author\":{\"name\":\"Jim Jansen\",\"@id\":\"https:\/\/acua.qcri.org\/blog\/#\/schema\/person\/e3bb7a0b58349e548e8940716694c215\"},\"headline\":\"SegmentSizeEstimator, a research tool of the Acua Platform\",\"datePublished\":\"2022-06-23T05:05:44+00:00\",\"dateModified\":\"2022-06-27T09:39:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\"},\"wordCount\":195,\"publisher\":{\"@id\":\"https:\/\/acua.qcri.org\/blog\/#organization\"},\"articleSection\":[\"Customer segmentation\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\",\"url\":\"https:\/\/acua.qcri.org\/blog\/segmentsizeestimator-a-research-tool-of-the-acua-platform\/\",\"name\":\"SegmentSizeEstimator, a research tool of the Acua Platform - 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