Sales and Marketing Analytics

Objectives

• Equip participants with tools and techniques for analyzing sales and marketing data.
• Enhance decision-making through data-driven insights.
• Explore predictive analytics and customer behavior modeling.
• Understand key performance metrics and their role in optimizing strategies.

Content

Introduction to Sales and Marketing Analytics

• Importance of analytics in sales and marketing
• Overview of data types and sources
• Key challenges in sales and marketing analytics
• Tools and software for data analysis

Data Analysis Techniques

• Descriptive and diagnostic analytics
• Data visualization and dashboard creation
• Analyzing customer segmentation and profiles
• Identifying trends and patterns in sales data

Predictive Analytics and Modeling

• Forecasting sales and revenue
• Customer lifetime value analysis
• Behavioral analytics and churn prediction
• Application of machine learning in marketing analytics

Key Metrics and Strategy Optimization

• Understanding sales performance metrics
• Marketing campaign analysis and ROI measurement
• Optimizing pricing and promotional strategies
• Aligning analytics with business objectives

DATE:

1ST BATCH:        7th – 10th Apr, 2026       

2ND BATCH:      28th – 31st Jul, 2026 

3RD BATCH:       24th – 27th Nov, 2026