The work of mad men that makes the methods of math men work: Practically occasioned segment design

MF Clarke - Proceedings of the 33rd Annual ACM Conference on …, 2015 - dl.acm.org
This study concerns the practical methods used to design segmentation models for digital
advertising. I illuminate some of the collaborative activities workers rely on to create these …

Too few, too many, just right: Creating the necessary number of segments for large online customer populations

BJ Jansen, S Jung, DR Robillos, J Salminen - … Commerce Research and …, 2021 - Elsevier
We develop a framework to reduce the number of customer segments to the smallest
quantity without losing essential information of the underlying population in the electronic …

Audience segment expansion using distributed in-database k-means clustering

A Ramesh, A Teredesai, A Bindra, S Pokuri… - Proceedings of the …, 2013 - dl.acm.org
Online display advertisers extensively use the concept of a user segment to cluster users
into targetable groups. When the sizes of such segments are less than the desired value for …

The mystique of numbers: belief in quantitative approaches to segmentation and persona development

DA Siegel - CHI'10 Extended Abstracts on Human Factors in …, 2010 - dl.acm.org
Quantitative market research and qualitative user-centered design research have long had
an uneasy and complex relationship. A trend toward increasingly complex statistical …

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

J Salminen, M Mustak, M Sufyan, BJ Jansen - Journal of Marketing …, 2023 - Springer
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 …

Four challenges for iml designers: Lessons of an interactive customer segmentation prototype in a global manufacturing company

M Raees, VJ Khan, K Papangelis - Extended Abstracts of the 2023 CHI …, 2023 - dl.acm.org
Interactive Machine Learning (IML) apps permeate all aspects of businesses, including
sales. Customer segmentation is integral for sales, to identify customer groups to serve them …

Factors affecting customer analytics: Evidence from three retail cases

A Griva, C Bardaki, K Pramatari, G Doukidis - Information Systems …, 2022 - Springer
The abundance of customer behavioral data alters the design and application of customer
analytics systems and approaches. Segmentation is a common customer analytics practice …

[PDF][PDF] Making customer analytics work for you!

A Marsella, M Stone, M Banks - Journal of Targeting …, 2005 - researchgate.net
Fax:+ 44 207 202 3000; e-mail: merlin_stone@ uk. ibm. com vendors are even now helping
companies to fuse real-time deployment with what-if scenario planning, resource …

Improving personalization solutions through optimal segmentation of customer bases

T Jiang, A Tuzhilin - IEEE transactions on knowledge and data …, 2008 - ieeexplore.ieee.org
On the Web, where the search costs are low and the competition is just a mouse click away,
it is crucial to segment the customers intelligently in order to offer more targeted and …

Segmenting customers from population to individuals: Does 1-to-1 keep your customers forever?

T Jiang, A Tuzhilin - IEEE Transactions on knowledge and data …, 2006 - ieeexplore.ieee.org
There have been various claims made in the marketing community about the benefits of 1-to-
1 marketing versus traditional customer segmentation approaches and how much they can …