One of the main challenges in creating personas is deciding “where to draw the line”, i.e., making judgment calls of what information to include into the persona profiles and how many personas to create. Ideally, we’d include all the information that the eventual persona users need and nothing else. Ideally, we’d create as many personas …
Many organizations have large amounts of survey data. This can be from surveys conducted directly or ‘survey-like’ data from customer relation management (CRM) systems, chat logs, call center logs, or customer reviews. Now, what to do with all of this data? One option is survey data analysis. Survey data analysis is the examination and reporting …
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.
For our forthcoming book, “Data-Driven Personas”, one of the personas that we are designing the book’s content for is the marketing researcher, Ting.
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 …
The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– 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 …
