Compare cost per usable unit, not the sticker price
A supplier price change can be obvious when the same package rises from 13 to 14.50, but package shrinkage can create the same economic effect without a large sticker-price jump. Normalize both periods to cost per gram, millilitre or ounce before comparing them.
Keep old and new package sizes explicit
The analyzer divides each old and new package price by the corresponding package quantity. That means it can handle a product that changed from 1000 ml to 900 ml as well as a simple price increase on an unchanged package.
Apply the unit change to real service usage
A product with a large percentage increase may have little impact if only a small amount is used per service. Conversely, a small unit-price increase can matter when the formula consumes a large quantity. Enter the actual formula usage so the result reflects the service.
Monthly exposure converts a small increase into operating impact
The increase per service is multiplied by the number of similar services performed each month. This does not forecast supplier purchasing perfectly, but it gives the owner a direct estimate of how much the price change adds to monthly service delivery cost.
The restoration price is a mechanical comparison
The tool shows the service price that would restore the old product-cost percentage. That is not a pricing recommendation. Labor, demand, market position, chair utilization and other service economics should be reviewed before changing the menu.
Use the service heatmap for the complete decision
After updating product cost, move the service into the Salon Service Menu Profitability Heatmap to see contribution and contribution per chair-hour after commission, payment fees and other variable costs.
Frequently asked questions
What if the package size changed?
That is exactly why old and new sizes are entered separately; the tool compares normalized unit cost.
Is the restoration price the price I should charge?
No. It only restores the previous direct-product-cost percentage under the entered assumptions.
Should I use formula usage or full package size?
Use the amount actually consumed by the service.