In the era of refined competition, the lower‑tier market demands designs that blend cost‑performance, minimalist functionality, deep channel integration, localized content, and emotional resonance, as illustrated by case studies from Pinduoduo, Kuaishou, OPPO, Alipay, Douyin and others.
This article explains the concept and origins of market segmentation, why it matters for businesses, when to apply it based on market maturity, the key demographic, psychographic and behavioral variables used, and the statistical methods—canonical correlation, clustering, and discriminant analysis—employed to create and validate effective segments.
This article explains why simple single‑feature analysis can miss important user groups, introduces decision trees—especially the CHAID algorithm—as a way to uncover multi‑attribute segments, and provides step‑by‑step instructions for building descriptive and predictive trees in SPSS, including how to interpret tree visuals and benefit tables.
