The Meat and Potatoes of Volume Effect
Volume effect is the second piece of the revenue bridge puzzle. (The first being the price effect from the last post) Why do we need to measure it? Because price changes often influence volume — and so do many other market factors. Economic theory suggests that price and volume are closely linked. To truly understand their impact on revenue, we need to isolate and measure each effect independently — first, how price changes influence revenue, and then how volume shifts contribute. While these factors are often analyzed together, separating them allows us to see how each one drives revenue on its own.
A powerful historical example of volume change comes from
the Irish Potato Famine 🥔 in the mid-1800s. Due to a devastating fungal disease
known as potato blight, potato crops across Europe failed. In Ireland, it’s
estimated that 30–50% of the crop failed in 1845, and by 1846, that number rose
to 75%. The country went from producing nearly 4 million tons of potatoes per
year to just 1 million tons — a staggering drop, enough to feed millions. It
wasn’t just the change in volume that made this event so catastrophic — it was
the suddenness of that change.
Thankfully, most businesses won’t face volume shifts that
dramatic. But even small changes in volume — whether gradual or sharp — can be
measured using the volume effect. Here’s how it works:
- Sum
the quantity sold in the base period.
- Sum
the quantity sold in the current period.
- Calculate
the difference between the two.
- Multiply
that difference by the ASP (Average Selling Price) from the
base period.
Let’s bring this to life with a simple example:
- Base
Period: Customer 1 buys 100 units of Widget A at $10 → $1,000 revenue
→ ASP = $10
- Current
Period: Customer 1 buys 110 units at $11 → $1,210 revenue → ASP = $11
- Volume
Effect: (110 - 100) × $10 = $100 uplift
The increase in quantity alone — independent of price — contributed $100 in additional revenue. This graph illustrates a clear and distinct measure of how volume alone has impacted revenue.
Below, you’ll see a graph using the same example from last
week — but this time I’ve added both price and volume effects,
helping illustrate how each component contributes to the overall revenue
bridge.
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