Schedule 2024

Accurately forecasting future revenue has many benefits including setting achievable targets for team members and investors, improving resource allocation and budgeting, and enabling informed decision making. In this case study we will explore how Grainger leverages their marketing measurements to create a causal forecasting model that drives the long-range and annual revenue planning processes for the business. This model has enabled Grainger to hit their revenue plan every year for the last 7 years (if you'll allow us a little wiggle room in 2020).

Learn how we established a causal framework for forecasting, embedded it into our financial planning processes, and created simulations to understand the range of potential outcomes – all of which led to improved leader confidence in our marketing returns and more investment in our marketing channels!

Takeaway

• Learn about causal planning models and how they can create more accurate forecasts
• Understand the measurements required to create the necessary foundation for forecasting
• Learn how simulations can improve your understanding of potential business outcomes and better plan for the future