Pricing & Profitability Transformation

The business sold across multiple e-commerce channels at a scale above $50 million. Price, promotional activity, product cost, and advertising all moved the result, but they were not reviewed as one commercial system.

Leadership needed a clearer view of whether the company was growing in a way that improved the business, or simply moving more units.

Unit volume and top-line sales can point in different directions from profit. A lower price can fill orders and still leave the company worse off after cost, fees, and the work required to fulfill them.

The practical problem was decision quality: which prices, products, and channels deserved attention, and which “growth” was too expensive to keep.

I built the review around four connected views:

• Price and promotional position by channel
• Product cost and margin, including where cost was estimated rather than known exactly
• Unit volume versus net sales, so a drop in units was not mistaken for a drop in the business
• Scenarios that showed how a price or mix change would move sales and margin together

One workstream estimated how supplier cost flowed through to a marketplace retail price. The point was not a perfect reconstruction of someone else’s formula. It was a usable way to test which cost inputs got retail prices closer to a target, instead of guessing and checking one SKU at a time.

Where a relationship could not be verified from source data, I treated it as a planning assumption and said so in the recommendation.

Analysis only mattered if it changed a price, a promotion, or a product priority. I packaged recommendations as choices: the expected direction of sales, margin, and operational load, plus what we would watch after the change.

I kept the scenarios few and explicit. A recommendation that needed a private formula or an unaudited cost was labeled as directional, not as a false-precision forecast.

Pricing sat between commercial, finance, and operations. I used the same definitions in working sessions and in leadership reviews so a margin conversation did not restart from a different spreadsheet each week.

The work included explaining tradeoffs to people who do not live in the data: why fewer units can still be a better year, and which follow-ups were required before a price move was safe to repeat.

Over one year, the business grew net sales by approximately 25% even though unit volume was approximately 15% lower. Margins and operating efficiency improved with that mix.

I do not attribute that year to a single price file. The result came from treating pricing, cost, advertising, and volume as one set of decisions, then repeating the review often enough to act.

The next gain is tighter feedback: connecting a price change to the margin and volume that actually followed, at a cadence operators can use.

Cost coverage is still uneven across custom products. The profitability engine described separately is what makes those decisions less dependent on a representative SKU.

A standing pricing forum, with one definition of net sales and margin, is more valuable than another one-off model.