Predictive Analytics for Marketing Campaigns

Description

Predictive analytics uses past campaign and customer data to estimate what people are likely to do next. These PDF lessons start with the fundamentals, then cover how marketing data is collected and prepared, how customers are segmented and personalised, and how lead scoring and conversion prediction models work.

Later lessons turn to campaign performance forecasting, churn prevention and retention, and real-time optimisation of running campaigns. You also read about measuring ROI, putting a practical implementation framework in place, and where predictive marketing is heading. Two lessons include exercises, and several use tables to compare approaches and metrics.

Who it is for: marketers who want to use data to plan and improve campaigns without a statistics background.

What’s included
10 PDF lessons · 61 pages · about 18,500 words
One ZIP download that is yours to keep — read on any device, no subscription or app needed.

Course programme

1. Understanding Predictive Analytics Fundamentals
2. Data Collection and Preparation for Marketing
3. Customer Segmentation and Personalization Strategies
4. Lead Scoring and Conversion Prediction Models
5. Campaign Performance Forecasting Techniques
6. Customer Churn Prevention and Retention
7. Real-time Marketing Optimization Methods
8. Measuring ROI and Success Metrics
9. Practical Implementation Framework
10. Future Trends in Predictive Marketing Analytics