BIOENGINEER

Segmentation choices reshape spatial transcriptomics results, benchmark finds

A Nature Methods benchmark of 11 segmentation methods across 15 spatial transcriptomics datasets shows that algorithm and ...
Nature

Data Mining Techniques in Customer Segmentation and Relationship Management

Data mining has become indispensable for dividing heterogeneous customer bases into coherent groups and for nurturing long-term relationships through targeted engagement. Unsupervised learning methods ...
Medical Xpress

Comprehensive AI model outperforms traditional methods in biomedical image segmentation

Researchers at Children's Hospital of Philadelphia (CHOP) announced the creation of a new AI technology called CelloType, a comprehensive model designed to more accurately identify and classify cells ...

Is RFM Analysis Outdated? Practical Methods for 'Living Segmentation' Based on Purchase Psychology and Usage Scenarios

I have been in the digital marketing industry for 20 years and currently work in marketing for a D2C manufacturer.There is a ...
Web CMS

Mastering Customer Insights Through Data Segmentation

Data-driven customer segmentation allows you to analyze if there are several distinct groups in your addressable market and what they are. Customer-centricity is the process of continuously optimizing ...
techtarget

What is customer segmentation?

Customer segmentation is the practice of dividing a customer base into groups of individuals that have similar characteristics relevant to marketing, such as age, gender, interests and spending habits ...