{"id":862,"date":"2020-05-31T09:05:35","date_gmt":"2020-05-31T06:05:35","guid":{"rendered":"https:\/\/persona.qcri.org\/blog\/?p=862"},"modified":"2021-03-18T21:58:27","modified_gmt":"2021-03-18T18:58:27","slug":"apg-calculates-the-number-of-customers-represented-by-each-persona","status":"publish","type":"post","link":"https:\/\/persona.qcri.org\/blog\/apg-calculates-the-number-of-customers-represented-by-each-persona\/","title":{"rendered":"APG calculates the number of customers represented by each persona!"},"content":{"rendered":"

APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web\/social media analytics.<\/em><\/p>\n

APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty rating, customer interests, product interactions, brand sentiment, and segment sizes represented by the personas, … all done in a privacy-preserving process using only aggregated data.<\/p>\n

With APG, the persona profile is the interface<\/strong> to a full stack persona analytics system<\/strong>, combining the empathy of personas with the rationality of analytics.<\/p>\n

So, with APG, you get SO MUCH more than a persona profile!<\/p>\n

For example, APG calculates the current and potential customer segment sizes represented by your personas.<\/p>\n

\"APG
APG calculates the current and the potential customer segment size represented by your personas.<\/figcaption><\/figure>\n

Additionally, APG shows you the opportunities (i.e., segments with growth potential).<\/p>\n

\"APG
APG shows you the opportunities (i.e., segments with growth potential).<\/figcaption><\/figure>\n

This is a value enhancing feature relative to flat persona profiles or complex analytics systems of APG<\/a>!<\/p>\n

Better personas! Better decisions! Better results!<\/strong><\/p>\n

APG is data-intensive!<\/a> APG is fast!<\/a> APG personas are rich!<\/a>\u00a0<\/strong><\/p>\n

Want to read more about APG<\/a>?<\/h3>\n

Jung, S., An, J., Kwak, H., Ahmad, M., Nielsen, L., and\u00a0Jansen, B. J.\u00a0 (2017) Persona Generation from Aggregated Social Media Data<\/a>. ACM Conference\u00a0Extended Abstracts\u00a0on Human Factors in Computing Systems 2017 (CHI2017). Denver, Colorado. p. 1748-1755. 6-11 May.<\/p>\n

Jansen, B. J., Salminen, J., and Jung, S.G. (2020)\u00a0Data-Driven Personas for Enhanced User Understanding: Combining Empathy with Rationality for Better Insights to Analytics<\/a>.\u00a0Data and Information Management<\/u>. 4(1), 1-17.\u00a0 https:\/\/content.sciendo.com\/view\/journals\/dim\/4\/1\/article-p1.xml<\/a><\/p>\n

Contact me to get going w\/APG!<\/h3>\n

Dr. Jim Jansen, email: bjansen@hbku.edu.qa<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web\/social media analytics. APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty rating, customer interests, product interactions, brand sentiment, and […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"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":[15,2],"tags":[446,173,445,444,18,171,447,174,172,23,167,168,169,177],"class_list":["post-862","post","type-post","status-publish","format-standard","hentry","category-persona-system","category-personas","tag-apg","tag-auto-persona","tag-data-driven-persona","tag-data-personas","tag-data-driven-personas","tag-how-to-use-personas","tag-persona-behaviors","tag-persona-generator","tag-persona-interview","tag-persona-system","tag-persona-theory","tag-primary-persona","tag-secondary-persona","tag-user-persona-interview-questions"],"yoast_head":"\nAPG calculates the number of customers represented by each persona! – The Persona Blog<\/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:\/\/persona.qcri.org\/blog\/apg-calculates-the-number-of-customers-represented-by-each-persona\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"APG calculates the number of customers represented by each persona! – The Persona Blog\" \/>\n<meta property=\"og:description\" content=\"APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web\/social media analytics. 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