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Commercial Analytics

Price per ounce by pack size

Find the packs that are off your price curve.

Account Brand Price Slopes fits price per ounce against pack size for each brand line and banner, then flags items off their curve and larger packs priced higher per ounce.

Covers every brand line, competitor and banner you configure, refitted each four-week period.

See the price slope for your brand at each banner.

Brands
Every brand line you configure
Competitors
Every competitor line in the comparable group
Banners
Every banner you configure
Cadence
Each four-week period

The question it answers

Are our larger packs priced consistently against our smaller ones, and against the market?

Account Brand Price Slopes fits base price per ounce against pack size for each brand line, comparable-product group and banner. It reports the discount for each doubling of pack size against the market curve, and flags items more than 10% off their brand's curve and larger packs priced higher per ounce than smaller ones.

Why it matters

Shoppers expect a larger pack to cost less per ounce. When it does not, the pack stalls or the smaller one sells for the wrong reason. These inconsistencies build up one price change at a time and are hard to see in a price list. A fitted curve shows at a glance which items are out of line and by how much.

How it works

  1. Inputs

    Licensed syndicated base shelf price and pack size by item and banner over a four-week period, with comparable-product groups from Alakai's mapping layer.

  2. Analysis

    A curve is fitted for each brand line and compared with the market curve. Sub-lines sit on their own curves, so flags reflect pricing, not product mix.

  3. Outputs

    Slope per brand line, off-curve flags, ladder inversions and the change since the prior period.

What you get

  • Discount per doubling

    How much price per ounce falls each time pack size doubles, against the market.

  • Off-curve flags

    Items more than 10% above or below their brand's curve.

  • Ladder inversions

    Larger packs priced higher per ounce than smaller ones.

  • Period change

    How each rate moved since the prior period, where history is licensed.

Example in action

Illustrative scenario

Across the banners you follow, most slopes sit close to the market. At one, your brand's slope shows a shallower size discount. One mid-size pack sits well above the curve, and the largest pack costs more per ounce than the one below it. The team corrects the inversion first, then reviews the mid-size price.

Questions

How many pack sizes are needed?
A curve needs three comparable sizes, and off-curve flags need a reasonably good fit. An inversion check needs only two sizes.
What happens to items with a missing price or size?
They are excluded. Values are never imputed.
Are promotional prices included?
No. The analysis uses base shelf price. Promotional and realized prices are out of scope, and nothing is sized by sales volume.
Is there a limit on brands, competitors or banners?
No. Follow as many as you need. Pricing scales with the coverage you configure.

See which packs are out of line, and by how much.

A 30-minute walkthrough on your calendar, with your categories and retailers. No slides.

You pick the time; we come prepared with your data questions.