Averages make people feel safe.

When pricing discussions become tense, someone inevitably says, “What’s the average competitor price?” The assumption is that the average represents the market. The assumption is that it gives clarity.

In pricing intelligence, averages often create the illusion of clarity while hiding the real story.

Here’s why.

Several years ago, I worked with an industrial supplier that believed they were overpriced. Their team had gathered competitor pricing across multiple regions and calculated a simple average. The result showed competitors were priced approximately five percent lower.

Leadership reacted quickly. Discounting discussions began. Margin concerns escalated.

The problem was not the math.

The problem was the assumption that the average reflected strategy.

When we segmented the data, the story changed.

In two regions, the competitor was significantly lower. In three others, pricing was nearly identical. In one region, the competitor was materially higher. The average blended aggressive pockets with disciplined markets and neutral positioning.

What looked like a uniform undercutting strategy was actually selective pressure.

The average had erased the pattern.

That is the risk.

An average compresses variance. It flattens channel differences. It hides outliers. It masks segmentation. It removes the strategic intent behind pricing behavior.

Pricing in industrial and B2B markets is rarely uniform. It varies by:

• Region
• Channel
• Customer size
• Volume tier
• Contract terms
• Product configuration

Each of those variables carries strategic meaning.

When you average them together, you dilute the signal.

Consider a simple example.

If a competitor prices at 90 in one region, 100 in another, and 120 in a third, the average is 103. That number suggests mild premium positioning.

The reality may be very different.

The 90 may signal an aggressive entry strategy in a growth market.
The 100 may reflect parity in a mature territory.
The 120 may indicate capacity constraints or strong brand power.

The average of 103 communicates none of that.

It creates a phantom strategy that does not actually exist.

Averages become particularly dangerous in three situations.

1. High Market Variability
   When logistics, freight, or local competition influence pricing, regional dispersion carries insight. Averaging removes it.
2. Mixed Channels
   Distributor pricing, direct pricing, and OEM pricing often follow different margin structures. Blending them obscures channel intent.
3. Outlier Sensitivity
   One extreme data point can distort an average and trigger overreaction.

In each case, the average feels clean. The underlying behavior is not.

Pricing intelligence requires a different mindset.

Instead of asking, “What is the average?” consider asking:

• Where is pricing tight versus dispersed?
• Where do outliers cluster?
• Is variance increasing or decreasing over time?
• Which segments are under pressure?
• Which segments are protected?

Variance often tells you more than the midpoint.

In fact, dispersion itself can be a strategy.

A competitor may intentionally widen price gaps to steer customers toward certain channels. They may compress variance to reinforce discipline. They may selectively lower pricing in one segment to defend share while preserving margin elsewhere.

None of those moves are visible in a single average number.

This does not mean averages are useless. They can provide directional context. They can anchor discussions. They can summarize broad trends.

They should not drive decisions on their own.

Averages are summaries. Strategy lives in the distribution.

The goal of pricing intelligence is not to simplify the market into a single clean number. The goal is to understand how pricing behaves across the system.

When leadership asks, “Are we above or below the market?” the most responsible answer may be, “It depends on where and with whom.”

That answer may feel less satisfying than a single number. It is far more accurate.

If your pricing analysis begins and ends with an average, you may be smoothing away the very signals that matter most.

The better question is not “What is the average competitor price?”

The better question is “Where does competitor pricing behave differently, and why?”

That is where competitive advantage is found.