What is the concept of analytics?

It a two-step process of 1.Depersonification – the representation of real people by numerical, text, or other data, creating quantitative proxies for representing a set of people 2.Personification – the algorithmically generated representation of numbers, text, metrics, and other user data in the form of fictitious humans. See more about using analytics to make impactful…… Continue reading What is the concept of analytics?

Understanding Audiences, Customers, and Users vis Analytics

Here is the cover for our book, Understanding Audiences, Customers, and Users vis Analytics. Jansen, B. J., Aldous, K, Salminen, J., Almerekhi, H. and Jung, S.G. (2023). Understanding Audiences, Customers, and Users via Analytics – An Introduction to the Employment of Web, Social, and Other Types of Digital People Data. Springer Nature.

How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In this research, we conduct a systematic literature review to address such central questions in customer segmentation research and practice. The results from extracting information from 172 relevant articles…… Continue reading How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

The Power and Challenges of Cross-Platform Shared Content: Breaking Barriers and Expanding Reach

  In today’s interconnected digital landscape, cross-platform shared content has emerged as a powerful tool for creators and businesses. With the ability to transcend platform limitations and reach a wider audience, cross-platform shared content has become a game-changer, enabling seamless experiences and fostering engagement on multiple fronts. However, while the benefits are substantial, it’s important…… Continue reading The Power and Challenges of Cross-Platform Shared Content: Breaking Barriers and Expanding Reach

How Can Intelligent Persona Features Support Online Advertising Work?

The concept of “Intelligent Personas” or “AI personas” presented here builds on extant research on data-driven personas and interactive persona systems. With this conceptualization, we particularly focus on outlining a vision for an intelligent end-to-end advertising system that supports human marketers’ decision making by deploying data-driven personas throughout the stages of the online advertising process.…… Continue reading How Can Intelligent Persona Features Support Online Advertising Work?

Is There a Gender Bias in Personas Generated by ChatGPT?

For this blog posting, we experiment with different ChatGPT prompts and glimpse gender biases in output. The motivation of this experiment is to inspect if ChatGPT propagates gender biases. Gender biases in ChatGPT have been noticed before. For example, Ivana Bartoletti, Director of Women Leading in AI, asked Chat GPT-4 to write “a story about…… Continue reading Is There a Gender Bias in Personas Generated by ChatGPT?

Comparing the Results: Classification vs. Regression Models in Machine Learning

When analyzing data, one may come across two main types of machine learning models: classification and regression. Both models are used to predict outcomes based on input variables, but they differ in their objectives and output formats. In this blog post, we will compare the classification and regression results to understand how they differ in…… Continue reading Comparing the Results: Classification vs. Regression Models in Machine Learning

 Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels

Although the effect of hyperparameters on algorithmic outputs is well-known in machine learning, the effects of hyperparameters on informati on systems that produce user or customer segments are relatively unexplored. This research employs the concept of persona and the effect of varying the number of user segments on the personification of user engagement data in…… Continue reading  Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels

Preface from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics

The following is the Preface from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics. The use of web, user, and social media analytics world has grown exponentially. Companies and individuals are using web and social media data to inform their business decisions and better understand their audience base. This book introduces the world…… Continue reading Preface from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics

A Discussion of the Validity of Data Analytics

A Discussion of the Validity of Data Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Validity is often understood as the “correctness” of a method or instrument. However, many data collection issues can degrade the validity of findings about people. Data validity is also a crucial issue…… Continue reading A Discussion of the Validity of Data Analytics