Data Analysis

Your Churn Analysis Is a Lie. Here’s How Customers Actually Leave.

Most companies track churn like a body count, looking at end-of-month spreadsheets to see who died. But customer churn isn’t a sudden death—it’s a slow, agonizing breakup. The real predictive signals aren’t absolute metrics, but relative shifts in a customer’s own history. Without a control group, your retention success rate is a lie.

Stop Obsessing Over Averages. Your User Segmentation Is a Lie.

Most analysts waste hours arguing over arbitrary cutoffs—like whether a ‘high-tier’ user spends $8,000 or $10,000. But the exact number doesn’t matter. Real user segmentation isn’t about drawing lines in the sand; it’s about choosing dimensions that directly link to business actions. If your tiers don’t tell you what to do next, you’re just looking at vanity metrics.

You’re Completely Wrong About What Makes a City ‘Livable’

A data-driven filter of over 1,800 districts reveals that China’s truly livable cities aren’t famous coastal megapolises, but three obscure inland counties. However, the real twist is that livability isn’t an objective ranking—it’s a deeply personal reflection of what you’re willing to compromise on.