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The category priced by habit. What changed when we measured.

The category priced by habit. What changed when we measured.

We walked into a grocery chain that wanted “smarter pricing” in the cleaning category. The commercial director thought he was leaving margin on the table. He was, but not where he thought.

The category was priced in a way anyone who works the operation recognizes. Copy last year’s price, adjust for inflation, and follow a reference competitor on a few items. Habit, not criterion.

What we found

The KVI list, the items the customer supposedly compares, had been built years earlier and never tested. When we crossed it with real buying behavior, half of it was wrong.

Items nobody compared were protected at thin margin, out of old fear. And items the customer actually checked, some of them, sat above the competitor, bleeding traffic with nobody noticing. The store thought it was cheap on cleaning and was expensive exactly where it hurt.

What we changed

No sophisticated engine at first. First, rebuild the KVI list from what the customer actually compares, measured on sales and price sensitivity, not on the buyer’s memory.

Then, split the ruler. Real KVI, aligned closely to the competitor. Long tail, optimized by margin and elasticity, where the customer does not compare.

The number that moved

In about ten weeks, category margin rose without losing traffic on the comparison items. The gain came from the tail, not from lowering KVI prices. We raised price where nobody looked and protected it where everybody looks.

The honest part: a strong competitor also raised prices that quarter, which opened room. It was not all method. Part was calendar luck.

What we got wrong

In the first round we trusted the KVI list that already existed. We moved prices based on it, and two important items reacted badly, because they were real KVIs treated as tail. We had to back out and rebuild the list before continuing. We lost three weeks by skipping the step of measuring.

It was the lesson the operation’s own post-mortem taught: the wrong input makes the right method fail with confidence.

What we left behind

A KVI list defined by behavior, with a review date. A written double ruler that separates what follows the competitor from what seeks margin. And a monthly review the category manager runs alone, without us.

Think about the category your operation prices on autopilot. When was the list of items “the customer watches” last tested against what the customer does? If the answer is “never”, you have hidden margin in both directions.

If this shape sounds familiar, between the price you think is competitive and what the customer actually compares, describe the category in one paragraph. We step inside the operation for two weeks and leave with a one-page document your team keeps: what we saw, what the current ruler missed, and the three changes that recover margin without losing traffic. That is how we work.