🔍 Ever wondered what drives high spending among different customer segments? 🚀 I recently delved into this with an analysis using Python, focusing on a small dataset for a shopping center.𝐐𝐮𝐢𝐜𝐤 𝐒𝐧𝐚𝐩𝐬𝐡𝐨𝐭:𝐆𝐞𝐧𝐝𝐞𝐫 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬: Females (112) slightly outnumber males (88).
𝐀𝐠𝐞 𝐈𝐦𝐩𝐚𝐜𝐭: Customers aged 26-35 lead in average spending scores, while the 18-25 age group surprises with the second-highest scores despite lower incomes.
𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧: Notably, a reverse relationship surfaces as individuals above the age of 40 tend to have a spending score of 60 or less.
**𝐈𝐧𝐜𝐨𝐦𝐞 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: **The majority have a yearly income below 78K, with 50% below 61.5k.
𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐒𝐮𝐦𝐦𝐚𝐫𝐲:𝐓𝐚𝐫𝐠𝐞𝐭 𝐘𝐨𝐮𝐧𝐠𝐞𝐫 𝐃𝐞𝐦𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜𝐬:
marketing strategies for younger customers with higher average spending scores.𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐀𝐠𝐞-𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐎𝐟𝐟𝐞𝐫𝐬: Consider age-specific promotions to capitalize on potential age-related spending patterns.𝐃𝐢𝐯𝐞𝐫𝐬𝐢𝐟𝐲 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐌𝐢𝐝𝐝𝐥𝐞-𝐀𝐠𝐞𝐝 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬: Focus on diversifying marketing efforts to engage and retain customers aged 26-35.𝐑𝐞𝐯𝐢𝐞𝐰 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐢𝐱: Evaluate and optimize the product mix based on preferences of customers with a spending score above 60.𝐌𝐨𝐧𝐢𝐭𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐎𝐥𝐝𝐞𝐫 𝐃𝐞𝐦𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜𝐬: Enhance engagement strategies for customers with a spending score below 60 and an average age above 40.