Promo vs. everyday pricing: separating the two in data

It's Tuesday morning and a store owner tapes a handwritten two-for deal to the cooler door. For the next two weeks, every scan of that drink happens at a price the brand's planning sheet doesn't show. Promo vs everyday pricing is the practice of keeping those two prices separate in the data, because the blend of them misleads.

Everyday price, sometimes called base price, is what an item sells for in a normal week. Promo price is what it sells for during a deal. Most reporting shows neither. It shows average unit retail (AUR), total dollars divided by total units, which mixes the two together.

What does the average actually average?

AUR is weighted by units, and promotions move more units. So the blended average leans toward the promo price whenever a deal runs. That produces a strange result: AUR can fall in a month where neither the everyday price nor the promo price changed, simply because a larger share of volume sold on deal.

Read in reverse, AUR can rise because promotions got shallower or rarer, with no change in list price at all. Anyone tracking pricing through the blended number alone will see moves that never happened on any shelf.

How do you separate base price from promo price?

Scan data records the price paid on every transaction, and that makes the split possible. The method, in outline:

1. For each item in each store, find the regular price: the level that shows up week after week when nothing special is running.
2. Flag the weeks where the realized price sits clearly below that level, especially when volume jumps at the same time. Those are the promo weeks.
3. Compute two averages: base AUR from the normal weeks, promo AUR from the deal weeks.
4. Track one more figure alongside them: the share of volume sold on promotion.

Those four outputs describe pricing far better than one blended average ever will.

What the split is for

Base price is the number to watch for pass-through: when a manufacturer raises list prices, base price shows whether the shelf followed. Promo price and promo depth describe how the brand competes during deal weeks. And promo share of volume is the health check. If a growing share of a brand's units needs a discount to move, that's a pricing question worth taking seriously before the next planning cycle.

A hypothetical makes the trap concrete. Say an item's everyday price is $2.00 and it runs a $1.50 deal for two weeks of a four-week month. If the deal weeks sell twice the volume of the normal weeks, the month's blended AUR lands around $1.67, closer to the promo price than to the base price. A reader tracking the blended number sees a price cut. The shelf saw a two-week deal and a return to normal.

Why independent stores need scan data for this

Chains publish price files; independent stores mostly don't. Each owner sets prices at the register, so the only reliable record of what shoppers paid is the POS (point-of-sale) scan record itself. Prices also vary store to store in the independent channel, and that spread is information. It shows the range a category tolerates, not a data error to average away.

NRS Insights builds its view of the channel from scan data collected across a network of independent retailers, which is what makes realized prices, base and promo alike, visible at all.