Learn how to break down your revenue mix to see what your sales team is selling and what your technicians are installing. In this lesson, you’ll analyze revenue by system type, compare month-by-month performance, and use visual tools to quickly spot trends, risks, and concentration across your business.
Download the Excel file used in this tutorial:
This tutorial shows how to analyze revenue mix to understand what your sales team is selling and what your field teams are installing. You’ll calculate revenue by system type, convert it into percent of total, analyze it by month, and visualize everything using heat maps and charts.
This gives you a clean list of system types such as split systems, furnaces, RTUs, and mini splits.
Key logic:
Important detail:
Once done correctly, the percentages will add up to 100%.
Optional formatting:
This ensures chart labels remain accurate.
Numerator:
Denominator:
This instantly shows:
This highlights:
This visualization shows how each system contributes to revenue over time.
This shows your long-term average revenue mix, independent of seasonality.
Now you have a dynamic heat map for quick checks against benchmarks.
You now have a complete revenue mix analysis that shows:
This framework can be reused for:
Q1. What is revenue mix and why does it matter?
Revenue mix shows how total revenue is distributed across different system types, services, or categories. It helps businesses understand where revenue is coming from and whether they are overly dependent on a single product or offering.
Q2. How does revenue mix connect sales and field operations?
Revenue mix acts as a bridge between what the sales team is selling and what technicians are installing. By analyzing system types, you can align sales strategy, inventory planning, staffing, and operational capacity.
Q3. How can I analyze revenue mix by month in Excel?
You can organize revenue data by system type and month, then compare each system’s share of total monthly revenue. Visual tools like charts and heat maps make it easy to identify seasonal patterns and shifts in demand.
Q4. What insights can heat maps provide in revenue analysis?
Heat maps allow you to quickly spot high and low concentration areas across months or system types. They are especially useful for identifying risk, such as having too much revenue concentrated in one category or noticing underperforming periods.
Q5. Can this approach be used for other types of analysis?
Yes. The same revenue mix framework can be applied to customer types, regions, technicians, revenue streams, or service categories. Once the structure is set, you can slice and analyze your data in many different ways.
Q6. Where can I get the sample data used in this tutorial?
You can download the sample Excel file linked below the video. It includes all the data needed to follow along and recreate the revenue mix charts and visuals shown in the lesson.