How do purchasing patterns vary across different demographic groups as seen in CRM and Stripe data?

Based on the latest CRM and Stripe data analysis, we've discovered fascinating variations in purchasing patterns across different demographic groups. Here are some key insights: Age Groups: Young adults (ages 18-25) are primarily purchasing tech gadgets and subscription services, which they tend to buy late in the evening. Middle-aged adults (ages 26-50) show a preference for home improvement products and health services, with purchases commonly made on weekends.


Geographic Location: Urban dwellers are significantly more likely to buy fashion items and entertainment tickets compared to their rural counterparts, who prefer agricultural supplies and vehicle parts.


Income Levels: High-income groups show an inclination towards luxury goods and premium services, making most of their purchases during holiday seasons. Meanwhile, lower-income groups frequently buy discount and bulk items towards the end of the month, likely coinciding with pay periods.
Family Status: Single individuals tend to spend on travel and personal experiences, while those married or with children purchase more on groceries and child-related products.


This diverse purchasing behavior highlights the importance of targeted marketing and personalized offerings to cater to the specific needs and preferences of each demographic group.

Try with my data