{"id":1265,"date":"2021-03-05T00:20:14","date_gmt":"2021-03-04T21:20:14","guid":{"rendered":"https:\/\/persona.qcri.org\/blog\/?p=1265"},"modified":"2021-06-24T10:03:00","modified_gmt":"2021-06-24T07:03:00","slug":"using-data-driven-personas-for-enhanced-user-segmentation","status":"publish","type":"post","link":"https:\/\/persona.qcri.org\/blog\/using-data-driven-personas-for-enhanced-user-segmentation\/","title":{"rendered":"Using Data-Driven Personas for Enhanced User Segmentation"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">User segmentation is the practice of dividing potential or existing users into groups that share similar characteristics. As such, user segments go hand in hand with data-driven personas!\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">User segmentation is employed as a user understanding technique by nearly every product team. Think of it this way! The ultimate goal of product design or product strategy for that matter is to create products\/services that:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">are aimed at understanding user needs and <\/span><a href=\"https:\/\/persona.qcri.org\/blog\/pain-points-and-personas\/\"><span style=\"font-weight: 400;\">pain points<\/span><\/a><span style=\"font-weight: 400;\"> as best as possible,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">have essential features to solve the users\u2019 primary needs as best as possible.\u00a0<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">In order to be able to identify user needs and pain points and serve them well, it is essential to have a good understanding of your user\/customer base. Both user segmentation and data-driven personas can aid in this understanding.<\/span><!--more--><\/p>\n<p><span style=\"font-weight: 400;\">Imagine a scenario where you have recently developed a product or service and want to understand:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">(1) How many people from a certain country use it?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">(2) Frequency of use of your product\/service,\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">(3) How are people interacting with your product or service, etc.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">An understanding of such user needs and wants can be done through segmenting (i.e.,. dividing your users into homogenous groups), a practice known as user segmentation.\u00a0<\/span><\/p>\n<figure id=\"attachment_1267\" aria-describedby=\"caption-attachment-1267\" style=\"width: 700px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1267\" src=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/customer-segmentation.png?resize=700%2C350&#038;ssl=1\" alt=\"\" width=\"700\" height=\"350\" srcset=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/customer-segmentation.png?w=700&amp;ssl=1 700w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/customer-segmentation.png?resize=300%2C150&amp;ssl=1 300w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-1267\" class=\"wp-caption-text\">Identifying user segments is crucial in understanding how people are using your product or service offerings (Source: <a href=\"https:\/\/moosend.com\/blog\/customer-segmentation-ecommerce\/\">Moosend<\/a>)<\/figcaption><\/figure>\n<h2><b>Example of user segmentation<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Take the following example from a cybersecurity firm Avira, based in Germany that segments their user base, which is in the millions and is spread across multiple countries around the world (I have also personally used both their free and paid offerings):<\/span><\/p>\n<figure id=\"attachment_1271\" aria-describedby=\"caption-attachment-1271\" style=\"width: 580px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-1271\" src=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?resize=580%2C522&#038;ssl=1\" alt=\"\" width=\"580\" height=\"522\" srcset=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?resize=1024%2C921&amp;ssl=1 1024w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?resize=300%2C270&amp;ssl=1 300w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?resize=768%2C691&amp;ssl=1 768w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?resize=1536%2C1381&amp;ssl=1 1536w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?resize=1200%2C1079&amp;ssl=1 1200w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/avira.png?w=1857&amp;ssl=1 1857w\" sizes=\"auto, (max-width: 580px) 100vw, 580px\" \/><figcaption id=\"caption-attachment-1271\" class=\"wp-caption-text\">Example of user segmentation in practice. A cybersecurity firm Avira segmenting their users to understand how their products are being used and what functionalities can they introduce (Source: <a href=\"https:\/\/mixpanel.com\/content\/guide-to-product-analytics\/chapter_3\/#besides-engagement-analyze-groups\">Mixpanel<\/a>)<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">Notice from the image how Avira is dividing users into different categories. For instance, they are dividing (or segmenting) their users into two categories in one instance- Free v\/s paid users, with the intention being:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To understand which features of the product are being used by the free and paid cohorts respectively.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">To understand the behavior of free v\/s paid users.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How to introduce additional functionalities\/features to get free users to convert into paid users.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The above are just among a plethora of segments that a product team can divide their user or customer base into depending on what they wish to achieve!<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The following quote from a scientific paper titled <\/span><a href=\"https:\/\/content.sciendo.com\/configurable\/contentpage\/journals$002fdim$002fahead-of-print$002farticle-10.2478-dim-2020-0048$002farticle-10.2478-dim-2020-0048.xml?tab_body=pdf-78589\"><span style=\"font-weight: 400;\">Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact<\/span><\/a><span style=\"font-weight: 400;\"> by the <\/span><a href=\"https:\/\/persona.qcri.org\/\"><span style=\"font-weight: 400;\">Automatic Persona Generation (APG)<\/span><\/a><span style=\"font-weight: 400;\"> team at <\/span><a href=\"https:\/\/www.hbku.edu.qa\/en\/qcri\"><span style=\"font-weight: 400;\">Qatar Computing Research Institute (QCRI)<\/span><\/a><span style=\"font-weight: 400;\"> sums up the value of user segmentation nicely:\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><b><i>\u201cThe identification of user segments is typically aimed at the understanding of a subset of people&#8217;s reactions, interactions, uses, etc., based on one or more key performance indicators (KPI), to achieve some goal or objective, such as increasing revenue, increasing market share, or designing future content.\u201d<\/i><\/b><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Moving on, the most common types of user segmentation are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Demographic Segmentation \u2013 based on gender, age, occupation etc<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Geographic Segmentation \u2013 based on country, state, or city of residence. Some organizations might even want to segment by specific towns or counties.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Technographic Segmentation \u2013 based on preferred technologies, software, and mobile devices.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Psychographic Segmentation \u2013 based on personal attitudes, values, interests, or personality traits.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Behavioral Segmentation \u2013 based on actions or inactions, spending\/consumption habits, feature use, etc.<\/span><\/li>\n<\/ul>\n<h2><b>Data-Driven Personas and User Segmentation<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Personas can be understood as humanized profiles of customer segments.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Depending on different factors such as budget, understanding persona value, and creation, etc., a typical persona profile can contain all or some of the different characteristics mentioned above.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I would go so far in saying that:<\/span><\/p>\n<p style=\"text-align: center;\"><b><i>\u201cPersonas \u2018lift\u2019 segments by providing a much richer qualitative (or quantitative) picture of a typical \u2018fictional\u2019 customer within a segment, animating their personality and values\u201d.\u00a0<\/i><\/b><\/p>\n<p><span style=\"font-weight: 400;\">Let&#8217;s take a look at the following persona of Indah, who is a busy professional wanting to become more health-conscious, and shop for more organic food products for herself and her family.\u00a0<\/span><\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-1274\" src=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture.jpg?resize=580%2C298&#038;ssl=1\" alt=\"\" width=\"580\" height=\"298\" srcset=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=1024%2C527&amp;ssl=1 1024w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=300%2C154&amp;ssl=1 300w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=768%2C395&amp;ssl=1 768w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=1536%2C790&amp;ssl=1 1536w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=2048%2C1053&amp;ssl=1 2048w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=1200%2C617&amp;ssl=1 1200w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/Capture-scaled.jpg?resize=1980%2C1018&amp;ssl=1 1980w\" sizes=\"auto, (max-width: 580px) 100vw, 580px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">If an organization was wondering what kind of pain points do busy professionals face when doing online grocery shopping, and then develop a product or service to alleviate these pain points, then they would have to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Conduct extensive research of professionals in and around their target market (town, city, country.)\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understand differences between male v\/s female personas on their frustrations with online grocery shopping etc.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Flesh out (maybe) a generalized \u201cpersona\u201d that can encapsulate all the frustrations and\/or pain points in one persona.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">By doing so, a firm would be able to either have multiple personas or a generalized user persona of their user segment (which is a health-conscious busy professional in the above example).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Not only can a persona represent different types of user segments (e.g. demographic, geographics, behavioral, etc.) but they help give the product team a perspective, which is to say that the designers and developers know the kind of segment for which they are designing the product or service.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Even though personas are a useful tool in representing these user segments, manual creation of these personas is expensive and time-consuming. For instance, depending on the <\/span><a href=\"https:\/\/www.nngroup.com\/articles\/persona-budgets\/#:~:text=Based%20on%20these%20results%2C%20smaller,in%202%20to%204%20days.\"><span style=\"font-weight: 400;\">size of your company<\/span><\/a><span style=\"font-weight: 400;\">, it can take up to 55 to 102.5 staff hours!\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But what if there is a way for you to automatically generate as many personas as you want of your user\/customer base that represents different user segments.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/persona.qcri.org\/\"><span style=\"font-weight: 400;\">Automatic Persona Generation system (APG)<\/span><\/a><span style=\"font-weight: 400;\"> helps you in achieving exactly ALL of the above. <\/span><\/p>\n<h2><b>Automatic Persona Generation and User Segmentation<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">First, a little bit about APG!<\/span><\/p>\n<p><span style=\"font-weight: 400;\">APG is a methodology and system for the automatic creation of personas from online analytics and social media data. The purpose is to turn faceless, nameless online analytics data into human representations, i.e., personas. APG is an interactive persona analytics system!\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">APG uses the online analytics data which your organization has to identify customer behaviors, generate 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 are represented by the personas, and all of this is done in a privacy-preserving process using only aggregated data.\u00a0<\/span><\/p>\n<p style=\"text-align: center;\"><b><i>Not only are the data-driven personas generated using APG more detailed than a traditional persona example I presented above, but the entire process is automated!<\/i><\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">The data-driven personas (DDPs) generated using the APG are representations of the actual segment of users presented as an imaginary person.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In practice, the best way of using personas for customer segmentation is to create DDPs using APG. Using this approach, you can create an arbitrary number of personas from your source data; e.g., 5, 10, 50, or 100 personas, in just a matter of hours!\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is what you get in a data-driven persona profile created by APG!<\/span><\/p>\n<figure id=\"attachment_1275\" aria-describedby=\"caption-attachment-1275\" style=\"width: 903px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1275\" src=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/apg_persona_features.jpg?resize=903%2C718&#038;ssl=1\" alt=\"\" width=\"903\" height=\"718\" srcset=\"https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/apg_persona_features.jpg?w=903&amp;ssl=1 903w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/apg_persona_features.jpg?resize=300%2C239&amp;ssl=1 300w, https:\/\/i0.wp.com\/persona.qcri.org\/blog\/wp-content\/uploads\/2021\/03\/apg_persona_features.jpg?resize=768%2C611&amp;ssl=1 768w\" sizes=\"auto, (max-width: 903px) 100vw, 903px\" \/><figcaption id=\"caption-attachment-1275\" class=\"wp-caption-text\">A data-driven persona created using APG<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">All the different characteristics of a user (e.g. demographics, behavioral characteristics, etc). on the basis of which users can be \u201csegmented\u201d are represented in a clear, well thought out way using APG.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For instance, in the above persona, you get all the following information:\u00a0<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Name<\/b><span style=\"font-weight: 400;\"> \u2013 a chronological gender, age, and country appropriate name<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Photo<\/b><span style=\"font-weight: 400;\"> \u2013 a chronological gender, age, and country appropriate photo<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Description<\/b><span style=\"font-weight: 400;\"> \u2013 a short description of the persona including online habits<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Job<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s most likely job<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Education Level<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s most likely educational level<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Relationship Status<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s most likely relationship status<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Audience Size<\/b><span style=\"font-weight: 400;\"> \u2013 the customer segment size that the persona is representing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Gender<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s most likely gender<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Age<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s most likely age<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Nationality<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s most likely nationality<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Loyalty Rating<\/b><span style=\"font-weight: 400;\"> \u2013 a three-level rating of the persona\u2019s loyalty to the business<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Sentiment Analysis<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s sentiment toward social media content from the business<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Social Media Conversations<\/b><span style=\"font-weight: 400;\"> \u2013 the social media conversations that the persona has engaged in or viewed<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Filter of social media conversations by topic, sentiment, or similarity<\/b><span style=\"font-weight: 400;\"> \u2013 filtering of the persona\u2019s social media conversations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Hate filter<\/b><span style=\"font-weight: 400;\"> \u2013 a filter to see the personas \u2018nice\u2019\/\u2019not so nice\u2019 comments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Refresh social media conversations<\/b><span style=\"font-weight: 400;\"> \u2013 a refresh option for new social media conversations that the persona has engaged in or viewed<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Interests<\/b><span style=\"font-weight: 400;\"> \u2013 the persona\u2019s interests as expressed via online engagement<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Engagement<\/b><span style=\"font-weight: 400;\"> \u2013 the online content, products, or services from the business that the persona has engaged with<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Timeline<\/b><span style=\"font-weight: 400;\"> \u2013 a chronological graph of the persona\u2019s engagement with the company since the first data collection<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Print the profile<\/b><span style=\"font-weight: 400;\"> \u2013 ability to print the persona profile<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">The benefits of using APG for user segmentation include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data-driven personas are created within minutes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">data-driven personas can be updated automatically every month.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The data-driven personas are an actual representation of your user\/customer base and can help nail down different user segments. For instance- if you want to find out how many males or females are interacting positively with your product or service (among other questions), you can do so using the APG.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">To conclude, I would like to highlight that personas give faces to user segments, which without a persona would be nameless and faceless.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A DDP generated using APG takes it one step further in automatically generating the most accurate personas for your user or customer base which you can then use to segment and understand your users.\u00a0<\/span><\/p>\n<h2><b>Would you like to learn more?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">If this article got you intrigued, read our <\/span><a href=\"https:\/\/persona.qcri.org\/persona-research\"><span style=\"font-weight: 400;\">persona analytics research<\/span><\/a><span style=\"font-weight: 400;\"> for more in-depth knowledge on persona development.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you are interested in learning more about how APG can help identify user pain-points and inform design decisions for your team, <\/span><a href=\"https:\/\/persona.qcri.org\/\"><span style=\"font-weight: 400;\">contact us<\/span><\/a><span style=\"font-weight: 400;\">!\u00a0\u00a0<\/span><\/p>\n<h2><b>Further reading<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Jansen, B. J., Salminen, J. O., &amp; Jung, S. (2020). <a href=\"https:\/\/content.sciendo.com\/view\/journals\/dim\/4\/4\/article-p237.xml?language=en\">Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact<\/a>. Data and Information Management. doi: <\/span><a href=\"https:\/\/doi.org\/10.2478\/dim-2020-0048\"><span style=\"font-weight: 400;\">https:\/\/doi.org\/10.2478\/dim-2020-0048<\/span><\/a><\/p>\n<p><span style=\"font-weight: 400;\">An, J., Kwak, H., Salminen, J., Jung, S.G., and Jansen, B. J. (2018) Customer segmentation using online platforms: isolating behavioral and demographic segments for persona creation via aggregated user data. Social Network Analysis and Mining. 8(1), 54.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>User segmentation is the practice of dividing potential or existing users into groups that share similar characteristics. As such, user segments go hand in hand with data-driven personas!\u00a0 User segmentation is employed as a user understanding technique by nearly every product team. Think of it this way! 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