Introduction
Accurate sales forecasting helps businesses plan resources, manage expectations, and make better commercial decisions. A data-driven approach improves forecasting by using evidence from past performance, current pipeline activity, and market information rather than relying only on assumptions. Data-Driven Sales Forecasting and Planning is designed to provide participants with practical knowledge of how forecasts are built, reviewed, and used to support sales planning and business growth.
Course Objectives
- Understand the role of forecasting in sales planning
- Build awareness of data sources used in forecasting
- Learn how to review sales trends and pipeline information
- Strengthen understanding of forecast assumptions and risks
- Improve confidence in supporting practical sales planning decisions
- Apply forecasting concepts in business situations
Target Audience
- Sales professionals involved in pipeline and target planning
- Supervisors and managers responsible for sales forecasting
- Business development staff supporting commercial planning
- Entrepreneurs and business owners managing growth expectations
- Operations and finance support staff working with sales data
- Intermediate-level professionals seeking forecasting knowledge
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Introduction to Sales Forecasting• Why forecasting matters in business planning
• Difference between forecasting, target setting, and budgeting
• Common inputs used in sales forecasting
• Basic forecasting terms and concepts
• Practical session: Reviewing simple forecast examples0 - Day 2: Understanding Sales Data and Pipeline Inputs• Using historical sales data in forecasting
• Reviewing current opportunities and pipeline stages
• Recognizing patterns, seasonality, and sales cycles
• Understanding data quality and consistency
• Workshop: Identifying useful forecasting inputs0 - Day 3: Building Practical Sales Forecasts• Introduction to simple forecasting approaches
• Estimating likely outcomes based on evidence
• Considering conversion rates and deal timing
• Balancing optimism with realistic assumptions
• Practical activity: Creating a basic sales forecast0 - Day 4: Forecast Review, Risk, and Planning Impact• Recognizing forecast uncertainty and business risk
• Reviewing forecast gaps and changing assumptions
• Using forecasts to support staffing, inventory, and activity planning
• Communicating forecast information clearly to stakeholders
• Case study: Evaluating a forecasting challenge0 - Day 5: Applying Forecasting in Practice• Building habits of regular forecast review
• Avoiding common mistakes in sales forecasting
• Improving planning through better data and judgment
• Strengthening accountability through forecast discipline
• Final exercise: Creating a practical sales forecasting plan0
Instructor
Lessons:
