Predictive Analytics

Predictive analytics uses historical data, statistical algorithms, and machine learning to forecast future outcomes. In marketing and sales, it predicts which leads will convert, which customers will churn, which deals will close, and what revenue to expect.

Common Use Cases in B2B

• Lead scoring: Predicting which leads are most likely to become customers
• Churn prediction: Identifying customers at risk of leaving
• Deal forecasting: Estimating close probability and revenue timing
• Next-best-action: Recommending optimal next steps for each account
• LTV prediction: Forecasting long-term customer value

The models learn from your historical patterns—which characteristics and behaviors correlate with desired outcomes—then apply those learnings to current prospects and customers to guide decision-making.