S3E10 – The Kevin Mitchell Interview

Key takeaways

• A small price improvement can have a major effect on profit, but many senior leaders still underestimate it.
• Frequent BOGO promotions can train customers to wait for discounts and weaken perceived value.
• AI can help pricing teams work faster, but important decisions still need experienced people and clear guardrails.
• Pricing leaders must work across sales, finance, marketing, operations, and product teams.
• The best career advice is simple: remain a student of the game and learn to speak each stakeholder’s language.

The roots of a pricing community

Mitchell’s connection to pricing goes back to childhood. His father, Eric Mitchell, worked on pricing for the Ford Mustang, Xerox, and Intel before becoming a consultant. In the early days of the profession, he helped create what became the Professional Pricing Society.

The original format was a printed newsletter. Eric invited leading pricing thinkers to contribute articles on topics such as economic value estimation, sales partnerships, and price elasticity. Kevin joked that his childhood job involved printing, folding, and mailing the newsletters.

After college, graduate school, and several roles with large companies, Kevin eventually returned to the family business. Nearly two decades later, he continues to build the pricing community through conferences, education, accreditation, and professional connections.

That history matters. Pricing has changed dramatically, but the need for shared knowledge has not. Whether the format is a printed journal, an industry event, or an AI-enabled analysis, pricing professionals still need practical ideas that hold up in the real world.

The 1% pricing rule remains powerful

One of the most important points in the discussion was also one of the oldest: a 1% price improvement can create a larger profit impact than a 1% change in many other business levers, assuming everything else remains constant.

Pricing professionals may know this well. The broader organization often does not. Sales leaders, marketers, finance teams, operations leaders, and even C-suite executives may not understand how strongly price realization can affect the bottom line.

That creates an important responsibility for pricing teams. The work is not just to calculate the opportunity. It is to explain it in terms that other leaders understand.

For example, a pricing leader may need to show how a focused price increase compares with improvements in fixed costs, variable costs, or sales volume. The point is not to push price in every situation. It is to make sure the organization understands the value of treating pricing as a strategic lever.

At Revenue Management Labs, this is a central part of practical pricing work: identifying the margin levers that fit the company’s industry, data, customers, and commercial model, then helping leaders act on them.

When promotions become the real price

The conversation also explored the risks of constant promotions, using BOGO offers in grocery retail as an example.

A product may have a strong underlying value, but if it is repeatedly offered at a steep discount, customers can begin to see the promotion as the normal price. They stop asking what the product is worth and start waiting for the next deal.

This creates several problems:

1. Reference prices fall. Customers anchor on the discounted price.
2. Full-price demand weakens. Buyers delay purchases until a promotion appears.
3. Margins become harder to protect. The business must sell more units to offset lower realized prices.
4. Discount expectations spread. Customers learn that asking for a better deal often works.

Promotions are not automatically bad. They can drive trial, clear inventory, or create useful traffic. But they need a clear role in the pricing strategy. Otherwise, the company may be training customers to reject its regular price.

A customized revenue management approach can help identify where promotions create true incremental value and where they simply shift demand forward while damaging price perception.

AI can accelerate good and bad pricing

Mitchell’s view on AI was balanced: it is a valuable tool, but it is not a replacement for pricing expertise.

AI can help teams analyze large assortments, find patterns, automate routine work, and focus human attention on the decisions with the greatest commercial impact. For companies managing millions of products or customer-level prices, that support can be essential.

But AI is based on available data. It may reflect past decisions, miss important market changes, or produce an answer that looks reasonable but is wrong. There have already been examples of algorithms repeatedly adjusting prices against one another until ordinary products reached absurd price levels.

The practical lesson is to keep humans in the loop, especially when a decision is important, difficult to reverse, or likely to affect customers and the brand.

AI works best when embedded in a broader pricing model that includes business context, expert judgment, and implementation support. At Revenue Management Labs, AI is used as embedded pricing intelligence—to improve speed and pattern detection while keeping experienced practitioners accountable for the decision.

Lessons from the music business

Mitchell also drew useful pricing lessons from his experience as an amateur musician.

First, know what makes your offering valuable. A local band, a specialist service provider, or a market-leading product should not automatically accept commodity treatment simply because competitors do.

Second, make sure customers understand what they are getting. Value that is not communicated is difficult to monetize.

Finally, know your worth. Pay-to-play arrangements and constant pressure to discount can lead businesses to accept deals that do not support a healthy model.

The same applies across industries. Companies entering distribution, negotiating with large customers, or competing in crowded markets often start copying the behavior around them. That can lead to a race toward lower prices. A stronger approach is to understand the value delivered, the customer segment served, and the economics required to support the business.

The pricing leader must work beyond the silo

Mitchell’s career advice was direct: continue being a student of the game.

Pricing leaders cannot operate as isolated analysts. They need to understand how the company makes money and how each function contributes to that outcome. That includes:

• Sales goals, incentives, and customer relationships
• Finance priorities and profitability measures
• Marketing’s view of positioning and demand
• Product decisions and customer value
• Operations constraints and service levels

A spreadsheet alone rarely changes behavior. A salesperson with 25 years in a territory may not respond to a complex model, but they may engage with a specific customer example and a clear discussion about how a better deal could improve both profitability and compensation.

That is where pricing strategy either succeeds or fails: in adoption. The strongest pricing partners combine rigorous analysis with field-level execution, helping teams understand not only what should change, but how to make the change stick.

The future belongs to adaptable pricing teams

Pricing is moving faster, and the tools available to pricing teams are improving quickly. But the fundamentals remain steady: understand value, protect the price, communicate clearly, and connect decisions to business results.

AI, industry expertise, professional communities, and hands-on partners can all help. None replaces sound judgment or cross-functional leadership.

For aspiring and established pricing leaders alike, the message is clear: keep learning, understand the whole business, and make pricing practical enough for people across the organization to use.