To segment customers by life stage, you need to collect and analyze data on their demographic and behavioral characteristics. Sources of data, such as surveys, customer feedback, purchase history, loyalty programs, social media, and web analytics can be used to gain insights. Additionally, personas, customer journey maps, and value propositions can be leveraged to understand customers' motivations and challenges. Based on the collected data, you can create segments that reflect customers' life stages such as young singles (20s-30s with no dependents and high disposable income), young families (30s-40s with one or more children and moderate to high income), mature singles (40s-50s with no dependents and high income), mature families (50s-60s with grown-up children and high income), and seniors (60+ with no dependents and low to moderate income). Each segment has its own characteristics; for example, young singles are typically adventurous, social, and interested in new experiences while seniors are usually retired, cautious, and interested in health, safety, and convenience.