Customer-Segmentation

Data Mining Techniques for Business Intelligence Data mining helps turn raw numbers into usable insights for strategy and daily decisions. In business intelligence (BI), teams use techniques from statistics and machine learning to discover patterns, predict outcomes, and guide actions. The goal is not to chase every trend, but to find the signals that matter for customers, products, and operations. Association Rule Mining Association rules look for items that often appear together. In a store, this can show that customers who buy coffee also buy biscotti. For BI, this helps with cross-sell campaigns, inventory planning, and promotions. You can start with simple confidence and lift measures to rank relationships and test them on fresh data. ...

Marketing Automation: Personalization at Scale Marketing automation makes personalization possible at scale. By combining data, rules, and content, teams tailor messages without manual work. This moves beyond generic blasts and helps customers feel understood. How automation enables personalization Automation works best when you start with a clear view of your audience. Collect data from signups, page visits, and past purchases. Turn people into segments or personas, then use dynamic content blocks to adjust messages in real time. Set triggers based on actions, time, or lifecycle stage, so the right message arrives at the right moment. Always test variations to learn what resonates. ...