In this article, we will be reviewing a research paper, titled: Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach. Possible methods to incorporate variability in leisure requirements are examined in this research paper. The focus of the paper is on finding alternative methods to incorporate heterogeneity in recreational demand. The researchers…… Continue reading Combining Discrete And Continuous Representations Of Preference Heterogeneity: A Latent Class Approach
Customer Segmentation Based on Buying and Returning Behaviour
In this article, we will be reviewing a research paper, titled: ‘Customer segmentation based on buying and returning behaviour’. The focus of this research paper is based on two aspects, which are: To determine if a general-purpose strategy conforms to the clothing businesses that involve e-commerce To properly assess for certain if customer rates of…… Continue reading Customer Segmentation Based on Buying and Returning Behaviour
SiloSolver: Algorithm for Aggregating Siloed Customer Segments in Facebook Ads Campaigns
Data silo problem refers to related datasets located in different databases, systems, or files. In the case of online advertising, performance metrics are fragmented in different campaigns and ad sets, making it difficult to compare customer segments. In this research, we present SiloSolver, an algorithm that: (a) retrieves performance metrics for different customer segments across…… Continue reading SiloSolver: Algorithm for Aggregating Siloed Customer Segments in Facebook Ads Campaigns
Next Likely Behavior: Predicting Individual Actions from Aggregate User Behaviors
We report results using n-grams to model user actions with only aggregated data and knowing little about the user. Employing a data set of 33,860 flight bookings from 4,221 passengers, we evaluate the n-gram model for the precision of predicting next likely actions. Results show that our approach can achieve a precision of 21% overall…… Continue reading Next Likely Behavior: Predicting Individual Actions from Aggregate User Behaviors
Approaches to Customer Segmentation
Research Problem Bruce Cooil, Lerzan Aksoy, and Timothy L. Keiningham proposed a study titled “Approaches to Customer Segmentation” published in the Journal of Relationship Marketing in 2008. The study focuses on how a multi-national firm has developed effective segmentation strategies and gained a conceptual understanding of how inventive and novel approaches can provide more value.…… Continue reading Approaches to Customer Segmentation
Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study — Summary
In this article we will be reviewing a research paper titled: Customer segmentation and strategy development based on customer lifetime value; published by Elsevier in the year 2006. The authors have presented an approach for evaluating customer value and segmenting customers into segments on the basis of their value. Following the segmentation of consumers on…… Continue reading Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study — Summary
Manual and Automatic Methods for User Needs Detection in Requirements Engineering: Key Concepts and Challenges
User needs inform designers and developers of essential functionalities for requirements engineering. In this work, we summarize key concepts and challenges relating to manual and automatic user needs detection methods. We discuss six challenges with manual and eight challenges with automated methods. A. Challenges of Manual Methods • A01: Limited sample sizes. • A02: Budgetary…… Continue reading Manual and Automatic Methods for User Needs Detection in Requirements Engineering: Key Concepts and Challenges
Issues and Advances in Segmentation Research – A Summary
Today we will be reviewing a segmentation research article titled “Issues and Advances in Segmentation Research.” Yoram Wind is the author of this article. It was published in 1978 in the Journal of Marketing Research on the behalf of the American Marketing Association. The article serves as important base information for marketers to innovate their…… Continue reading Issues and Advances in Segmentation Research – A Summary
Soft Computing: Impactful Tools in Customer Segmentation
Introduction Knowing your customers is essential to a successful business. It helps establish a rapport between the customers and the business, and makes the customers personally attached to what they are buying. Customer segmentation helps organizations recognize customers with similarities as a group rather than as individuals. It makes it easy to serve consumers efficiently…… Continue reading Soft Computing: Impactful Tools in Customer Segmentation
A Balanced View for Customer Segmentation in CRM
Introduction and the Research Problem Jongwook Yoon, Seok H. Hwang, Dan J. Kim, and Jongsoo Yoon proposed a study titled “A Balanced View for Customer Segmentation in CRM” published in the Ninth Americas Conference on Information Systems in 2003. The authors emphasize that customer segmentation is essential for enterprise customer relationship management (CRM) implementation. However,…… Continue reading A Balanced View for Customer Segmentation in CRM