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Data-Driven Personas Personas

Using Data-Driven Personas for Enhanced User Segmentation

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! 

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:

  1. are aimed at understanding user needs and pain points as best as possible, 
  2. have essential features to solve the users’ primary needs as best as possible. 

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.

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Automatic Persona Generation Benefits of Personas Persona Research Personas Use of Personas

The What, Why, and How of Influencers and Personas!

If you are a marketer who has grown tired of routinely targeted marketing messages or if you are simply looking for a way to boost your brand awareness and try something new for your marketing strategy, then read on! Influencers may be for you! 

If you are an influencer or want to be one, then this article is also for you! 

A tech-savvy social media influencer at work Source: Unsplash

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Data-Driven Personas Persona Analytics Personas Segment Analytics

Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact
Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

As paper-based personas move to interactive persona analytics systems, online companies face large user populations, making segmentation a daunting exercise, along with creating actionable data-driven personas from these large datasets.

In this research, we demonstrate an approach that facilitates user segmentation. The approach leverages product dissemination and product impact metrics with normalized Shannon entropy. 

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Automatic Persona Generation Data-Driven Personas Persona Creation Persona Design Persona Development Personas Use of Personas User Personas

How suitable are artificially generated facial pictures in data-driven personas?

In a previous post, we analyzed the demographic Bias in Artificially Generated Facial Pictures that raised a concern that the generated images might not fairly represent all demographic groups.

In this post, we discuss if these artificially generated pictures are good enough for use in personas profiles for real-world systems and applications,  which are highly dependent on images for the personas. One of the key aspects of generating personas using a data-driven approach is to be able to represent the persona profile with a matching picture.

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Google Analytics Personas Segment Analytics Use of Personas

Personas with Segment Analytics (Part 2)

The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed.
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Note: For a complete overview of Google Analytics persona creation methods, see Persona Creation Using Google Analytics: Summary of Methods

Example of an APG Persona
Example of an APG Persona – from numbers to persona in a matter of hours! Or less!

To continue with our discussion from Personas with Segment Analytics (Part 1), 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:

  1. Age and Gender: You can see the breakdown of your audience by their ages if you navigate to Audience>Demographics>Overview

We will use the age group with largest demographics to make our 1st persona. For more information about this group. We shall find affinities of this user group.

  1. Affinity: For this we will expand Age >  Secondary Dimension, Within Secondary dimension, type “Affinity”.

Now you can see the categories associated to your 1st 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. ‘shoppers’, ‘technophiles’, ‘foodies’, ‘music lovers’). Note down a few of the top affinities.

  1. In-Market: This helps us to know what kind of products your audience actively compares and researches. For this, within Secondary dimension, type “In-Market Segment”.

Note Down a few of the top products.

Location: If you navigate to Audience>Geo>Location. You can find out the countries your 1st person likely belongs to.

 Device Used: By clicking Audience>Mobile>Devices, you can see exactly which brand of mobile they’re using and even what service provider or operating system they prefer.

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Personas Segment Analytics Use of Personas

Personas with Segment Analytics (Part 1)

The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed.
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Web analytics is the collecting and analysis of data for optimizing an online process.

Segmentation. or segment analytics, is an approach of dividing customers into groups based on different characteristics. The resulting segments are composed of consumers who will respond similarly to marketing strategies and who share traits, such as similar interests, needs, or locations. During the remarketing, for instance, you can target specific customers with the help of these segments.

For example, your total website traffic can be segmented as:

  • customers who purchased your products,
  • customers who only visited your website,
  • customers who bounced from your homepage.
Using segment analytics, you can create meaningful and accurate personas representing each of these customer segments.
Using segment analytics, you can create meaningful and accurate personas representing each of these customer segments.

Using segment analytics, you can create meaningful and accurate personas representing each of these customer segments.

We discuss using personas with segment analytics here, and a later blog post, Personas with Segment Analytics (Part 2),  we will discuss how to create personas using Google Analytics segmenting feature.

First, let’s refresh our memory on personas.

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Data-Driven Personas Persona System Personas

How APG Assigns an Age to a Data-Driven Persona

The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed.
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In this article, we will be explaining how we determine the age of a data-driven persona.

To get a comprehensive understanding of this process, we will take you through a gist of how the APG system creates a persona profile whose final goal is to accurately represent the audience segment of a social media platforms (Facebook, Instagram, YouTube or Google Analytics) by analyzing user interactions with the specified account holders content.

For this, APG needs to gather detailed information regarding the interactions of users with each of the online content pieces on the corresponding platform.