With user experience (UX) research and market analysis, the development of data-driven, algorithmically-created personas stands at the forefront, marking a significant leap in understanding diverse population segments. These algorithmically-created personas, crafted through a synergy of big data, machine learning (ML), and artificial intelligence (AI), are revolutionizing our approach to understanding audiences, customers, and users by…… Continue reading Bridging Hard and Soft Logic: The Emergence of Data-Driven, Algorithmically-Created Personas
Category: analytics_book
The Need for Formal Standards for Persona Creation
Personas are invaluable tools in content creation that help creators and editors better understand their target audiences. In the business world, personas are valuable tools that help marketers and executives better understand their target customers. In the user experience (UX) design world, personas are invaluable tools that help designers and developers better understand their target…… Continue reading The Need for Formal Standards for Persona Creation
SegmentSizeEstimator estimates the segment size based on language, country, gender, age-range, and topical interest
SegmentSizeEstimator estimates the segment size based on language, country, gender, age range, and topical interest. Moreover, it finds the most likable topical interest based on the given story and provides related segment sizes. This is powered by Facebook Ads API and (if available) Twitter Ads API. Give it a try! SegmentSizeEstimator Read more! Jansen, B.…… Continue reading SegmentSizeEstimator estimates the segment size based on language, country, gender, age-range, and topical interest
Text2Toxicity predicts a text’s toxicity
Text2Toxicity predicts a text’s toxicity. The tool is based on the machine learning classifier reported in the research article mentioned below. Give it a try! Text2Toxicity Salminen, J., Hopf, M., Chowdhury, S. A., Jung, S., Almerekhi, H., & Jansen, B. J. (2020). Developing an online hate classifier for multiple social media platforms. Human-Centric Computing and Information Sciences,…… Continue reading Text2Toxicity predicts a text’s toxicity
The need for data validity when using analytics
A difficulty faced by scholars and practitioners working with numbers about people is that those who study people want numerical data about these people. Unfortunately, time and time again, this numerical data about people is wrong. Addressing the potential causes of this wrongness, we present examples of analyzing people numbers, i.e., numbers derived from digital…… Continue reading The need for data validity when using analytics
Analytics in practice
Digital analytics – the collection, measurement, analysis, and reporting of online data. Organizations desire to leverage analytics to increase productivity, increase efficiency, reduce costs, and improve the audience, customer, and user experience (ACU Experience). Data-driven decision-making = making decisions based on data. See more about using analytics to make impactful data-driven decisions in our…… Continue reading Analytics in practice
Audience, Customer, and User Understanding
Understanding is the ability to interpret and make sense of the data insights generated through analytical processes. Understanding is the ability to interpret and make sense of the data insights generated through analytical processes. Goes beyond simply collecting and analyzing data to uncover patterns, trends, or correlations. Involves comprehending the implications of the data analysis…… Continue reading Audience, Customer, and User Understanding
Audiences, Customers, and Users are Roles
Audience, customers, and users are roles. People are assigned (or assume) these roles for clarity in a given context. Role is temporarily adopting the perspective of a particular platform, product, or system in a specific context. People place themselves as the intended group for that entity/service. Roles help evaluate usability, identify issues, and gain insights…… Continue reading Audiences, Customers, and Users are Roles
Differences Among Audiences, Customers, and Users
For Audiences, Customers, and Users – often interested in different analytics Audiences Typical analytics: likes, shares, comments, tags, reposting KPIs – engagements, dialog, conversations Customers Typical analytics: Impressions, clicks, CTR, CR, ROAI, reviews KPIs – purchases, revenue, money Users Typical analytics: Time on Task, performance, ease of use KPIs – usability, satisfaction See more about…… Continue reading Differences Among Audiences, Customers, and Users
What is a user?
Users are a group of people interacting with a system or device, utilizing the features and functions provided to perform tasks or achieve goals. User Types: can range from casual individuals to professionals who rely on complex software for specialized purposes. User Concept is fundamental to the design and development, as it helps determine how…… Continue reading What is a user?