{"id":821,"date":"2020-05-26T09:52:14","date_gmt":"2020-05-26T06:52:14","guid":{"rendered":"https:\/\/persona.qcri.org\/blog\/?p=821"},"modified":"2021-03-18T11:49:17","modified_gmt":"2021-03-18T08:49:17","slug":"personas-with-segment-analytics-part-2","status":"publish","type":"post","link":"https:\/\/persona.qcri.org\/blog\/personas-with-segment-analytics-part-2\/","title":{"rendered":"Personas with Segment Analytics (Part 2)"},"content":{"rendered":"

The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed.<\/em>
\n——–<\/p>\n

Note: For a complete overview of Google Analytics persona creation methods, see Persona Creation Using Google Analytics: Summary of Methods<\/a><\/p>\n

\"Example
Example of an APG Persona – from numbers to persona in a matter of hours! Or less!<\/figcaption><\/figure>\n

To continue with our discussion from Personas with Segment Analytics (Part 1)<\/a>, to perform a persona inspired segmentation using your web analytics tool (here we are using Google Analytics for our platform as an example), these are some details about your customers you would need to gather which will be later used to create personas:<\/p>\n

    \n
  1. Age and Gender: <\/strong>You can see the breakdown of your audience by their ages if you navigate to Audience>Demographics>Overview<\/strong><\/li>\n<\/ol>\n

    We will use the age group with largest demographics to make our 1st<\/sup> persona. For more information about this group. We shall find affinities of this user group.<\/p>\n

      \n
    1. Affinity: <\/strong>For this we will expand Age > <\/strong>\u00a0Secondary Dimension, Within Secondary dimension, type \u201cAffinity\u201d.<\/strong><\/li>\n<\/ol>\n

      Now you can see the categories associated to your 1st<\/sup> personas age group and gender. Google Analytics uses different types of factors such as browsing history, time on page, and then associates this with a ready-made user profile (i.e. \u2018shoppers\u2019, \u2018technophiles\u2019, \u2018foodies\u2019, \u2018music lovers\u2019). Note down a few of the top affinities.<\/p>\n

        \n
      1. In-Market: <\/strong>This helps us to know what kind of products your audience actively compares and researches.\u00a0For this, within Secondary dimension, type \u201cIn-Market Segment\u201d.<\/strong><\/li>\n<\/ol>\n

        Note Down a few of the top products.<\/p>\n

        Location:\u00a0<\/strong>If you navigate to Audience>Geo>Location<\/strong>. You can find out the countries your 1st<\/sup> person likely belongs to.<\/p>\n

        \u00a0<\/strong>Device Used:\u00a0<\/strong>By clicking Audience>Mobile>Devices<\/strong>, you can see exactly which brand of mobile they\u2019re using and even what service provider or operating system they prefer.<\/p>\n

        Now that we have collected the information to make our persona. We can put it all together in a neat template to finally create a persona profile. The template you use to represent your persona can be designed by yourself if you have the right resources.<\/p>\n

        If not, no worries, there are a wide variety of free and paid templates online you can use you to represent your persona data. For example, How to Create a Buyer Persona with the HubSpot Persona Tool<\/a> walks you through using the free HubSpot persona template and looks something like this:<\/p>\n

        \"Example
        Example Hubspot Persona<\/figcaption><\/figure>\n

        \u00a0<\/strong>APG<\/a>, automatic persona generation, can also create rich personas from Google Analytics data, based first on behaviors and then adding the demographics.\u00a0<\/strong><\/p>\n

        Repeat the above steps for different age groups and gender to create a few more personas.<\/span>Now you can conduct a segmentation analysis for any web data metric based of personas by filtering in details specific to your persona type.<\/p>\n

        For example, for a metric like bounce rate. Navigate to Audience>Overview<\/strong>, click the drop-down menu and select bounce rate.<\/p>\n

        Now you see the bounce rate of all users visiting your website. Let\u2019s compare \u201cAll users\u201d to a user like our 1st<\/sup> persona \u201cSamuel\u201d. To do this we need to add a segment Audience>Overview>Add Segment>New Segment <\/strong><\/p>\n

        Now input details of your 1st<\/sup> person which we previously collected like age, gender, affinity etc.<\/p>\n

        Now you can compare and that in a given day how many of your total bounce rate relate to users like Samuel. Since Samuel is our 1st<\/sup> persona and represent the user that uses our website the most, we need to understand why our most valuable customer bounced.<\/p>\n

        Additional filters like first time visitor or re-visitor could help us come to some conclusion for their bounce rates.<\/p>\n

        You may add additional segments if you wish to compare different types of personas.<\/p>\n

        There you have it; this is one way you can conduct a persona using segment analytics in Google Analytics using web analytics data.<\/p>\n

        More about APG?<\/h2>\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","protected":false},"excerpt":{"rendered":"

        The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Note: For a complete overview of Google Analytics persona creation methods, see Persona Creation Using Google Analytics: Summary of Methods To continue with our discussion from Personas with Segment Analytics (Part 1), to perform a persona inspired segmentation using your 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with Segment Analytics (Part 2) – 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\/personas-with-segment-analytics-part-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Personas with Segment Analytics (Part 2) – The Persona Blog\" \/>\n<meta property=\"og:description\" content=\"The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Note: For a complete overview of Google Analytics persona creation methods, see Persona Creation Using Google Analytics: Summary of Methods To continue with our discussion from Personas with Segment Analytics (Part 1), to perform a persona inspired segmentation using your […]\" \/>\n<meta property=\"og:url\" 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