Predictive Analytics for Sales Growth and Market Insights

Objectives

• Understand the fundamentals of predictive analytics and its applications in sales and marketing.
• Develop skills to analyze historical data for forecasting sales growth.
• Learn techniques for identifying market trends and customer behavior patterns.
• Implement predictive models to drive business decisions and optimize sales strategies.

Content

Introduction to Predictive Analytics

• Overview of predictive analytics and its role in business
• Key concepts in data analysis and forecasting
• Types of predictive models and their applications
• Tools and software for predictive analytics

Analyzing Historical Data for Sales Forecasting

• Collecting and preparing data for analysis
• Identifying relevant sales metrics and KPIs
• Time series analysis and trend identification
• Techniques for building accurate sales forecasts

Market Segmentation and Customer Behavior Insights

• Segmenting markets based on data-driven insights
• Predicting customer needs and behavior patterns
• Analyzing purchasing trends and customer lifetime value
• Personalization strategies for targeted marketing

Implementing Predictive Models for Sales Optimization

• Building predictive models for sales strategies
• Integrating predictive analytics with CRM systems
• Measuring the success of predictive models
• Continuous improvement and refinement of models based on results

DATE:

1ST BATCH:        24th – 27th Mar, 2026       

2ND BATCH:      14th – 17th Jul, 2026 

3RD BATCH:       10th – 13th Nov, 2026