China Household Life-Event Segmentation Index

Concept

A subscription data product that converts the China Family Panel Studies (CFPS) — a longitudinal family survey conducted by Peking University — into household life-stage segments and event-transition probabilities for the China market. Using CFPS records of family structure, marriage/education/employment event histories, and migrant mobility — collected with integrated rural and urban modules — the index delivers: (1) a segmentation of Chinese households by life stage (newly formed, migrating for work, child-rearing, empty-nest) with rural/urban splits, and (2) annual transition tables (e.g., the likelihood a rural household experiences a member's marriage or job-related migration within two years) that plug directly into demand-forecasting models. The single wedge: timing demand to life events (weddings, first jobs, migration, births) rather than static demographics.

Commercial model and data rights

CFPS is an academic survey launched by Peking University, and reselling its raw household records as a commercial subscription may violate the survey's terms of use. The product is therefore positioned as proprietary analysis of public data, not data resale: subscribers receive derived outputs only — segment definitions, aggregated transition tables, and forecast indices — and never household-level records. No licensing agreement with the survey's operator exists yet; securing written permission, or confirming that derived and aggregated indices are permitted, is a launch prerequisite. If the terms turn out to prohibit commercial derivatives, the fallback is to rebuild the same segmentation methodology on a proprietary or commercially licensed longitudinal panel, using CFPS only for validation. This licensing dependency is the idea's main feasibility risk.

Why now

The CFPS abstract [0] demonstrates that a nearly nationwide, comprehensive, longitudinal survey of Chinese families now exists, gathering event histories and family structure from all family members via computer-assisted interviews, with integrated rural/urban modules — exactly the raw inputs needed for event-based segmentation at national scale and quality. Because the segments are anchored in recorded events (marriages, job changes, moves) rather than one-off self-reports, they can be checked and updated from survey wave to survey wave.

Open questions

• What are the specific Terms of Use for CFPS data regarding the commercial redistribution of derived analytical indices? (This now gates the licensing model above.)
• Is the sampling frequency and attrition rate of CFPS sufficient to create reliable transition probabilities for fast-moving consumer goods (FMCG) cycles?
• How does the time lag between CFPS data collection and public release affect the real-time utility for brand product launches?
• To what extent do rural-to-urban migration patterns in CFPS data correlate with measurable shifts in household spending categories?
• Would corporate clients prefer a proprietary longitudinal panel over a derived index based on a public academic survey?
• Are there existing commercial alternatives that provide life-event transition matrices for the Chinese market?