The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– If you ever thought how the APG system assigns a name to a data-driven persona, you’ve come to the right place. Since personas are representations of a typical user segment for a product’s current customer base, the persona needs a […]
How APG Assigns a Name to a Data-Driven Persona Read More »
Creating personas from large amounts of online data is useful but difficult with manual methods. To address this difficulty, we present Automatic Persona Generation (APG), which is an implementation of a methodology for quantitatively generating data-driven personas from online social media data. APG is functional, and it is deployed with several organizations in multiple industry
Giving Faces to Data by Creating Data-Driven Personas Read More »
Personas are human like descriptions of customer segments. Just like customer segments, you can use the persona technique to divide your overall market into smaller subset that you can then examine individually. In practice, the best way of using personas for customer segmentation is to apply a technique of data-driven persona creation, such as automatic
How can I use a persona for customer segmentation? Read More »
Personas and market segments are highly similar in the sense that they both are based on real data about the customers. However, the main difference is that personas individualize that data in a representation that has a name, face, and human attributes. In conclusion: Personas = human like representations of customer groups Market segments =
How are personas and market segments different? Read More »
In this research, we propose a novel approach for isolating customer segments using online customer data for products that are distributed via online social media platforms. We use non-negative matrix factorization to first identify behavioral customer segments and then to identify demographic customer segments. We employ a methodology for linking the two segments to present
Introduction to Data-Driven Personas Automatic Persona Generation (APG) is a system developed by the persona research team at Qatar Computing Research Institute. APG is defined both as a methodology and a system for automatic creation of personas from online analytics data. Automatic Persona Generation has specifically been developed to address the limitations of manual persona
Introduction to Data-Driven Personas Read More »
Using the APG system for automatic persona creation from real data is both a working system and an on-going research project. With APG, we have developed a methodology to automate the creating of imaginary people. These imaginary people are personas. We do this by processing complex behavioral and demographic data of social media audiences.
