Why Revenue Rank Misleads

Sales value is a top-line measure, not a profitability measure. A product can appear strong because customers buy it often or because its ticket price is high, while discounts, pick-and-pack labour, packaging, postage and payment costs leave little behind. Returns make the comparison less reliable: an order shown at $1,000 may include $200 in discounts and $100 in returned goods, leaving $700 of realised sales rather than $1,000.

For illustration only, if that $700 also carries $240 of fulfilment cost and $400 of product cost, only $60 remains before advertising. A lower-value sales line can have more room after its direct costs. ORVX calculates realised revenue from delivered orders only, excluding returned and cancelled orders, then reports product and collection profitability rather than revenue alone. Use revenue to understand demand and cash-generating scale; use profit and margin to decide where economics require attention.

What each measure is useful for
MeasureUseful forLimitation
Sales valueDemand and trading scaleIncludes no direct view of costs
Realised revenueDelivered sales after exclusionsStill does not show fulfilment or product cost
ProfitabilityAssessing economic performanceRequires reliable cost and return data

Contribution per Product

Contribution per product is the money left from a delivered sale after the costs that change when that product is sold. Start with realized product revenue, then subtract the product’s unit cost, payment processing, discounts, pick-and-pack labour, packaging, shipping subsidy and expected return or refund cost. Include shipping income if you allocate it to the order, and subtract the related freight cost. Leave rent, salaries that do not vary with order volume, software and other fixed overheads outside this measure.

For an Australian GST-registered store, calculate revenue excluding GST. business.gov.au states that GST is 10% on most goods and services and that registered businesses collect the GST portion, one-eleventh of the sale price. For illustration only, a $44 customer price represents $40 before GST. If product cost is $14, processing is $1.20, packing is $2 and the shipping subsidy is $5, contribution is $17.80, or 44.5% of realised revenue (Source: business.gov.au (Australian Government)).

Revenue shows demand. Gross profit subtracts product cost and shows the product’s trading spread. Contribution is more useful when deciding whether additional orders are economically worthwhile because it includes the costs attached to fulfilling them. For acquisition decisions, also review contribution after advertising: the same $17.80 item with $6 of allocated ad spend contributes $11.80. ORVX reports this per product and collection; you can also check the arithmetic with the profit margin calculator.

Worked example with sample numbers

This example is illustrative. It uses sample numbers for a baking supplies store selling in Australia. They are made up to show the method, they are not a benchmark, and your own figures will differ.

Formula: Contribution = units x net price x margin.

Sample numbers: four products ranked by contribution
ProductUnitsRevenueMarginContribution
Product C102A$9170.0226.6%A$2437.63
Product B193A$7505.1028.1%A$2110.44
Product A102A$6112.1831.3%A$1914.54
Product D248A$15429.614.6%A$706.15

Run the same sum with your own numbers in the free calculator, or browse guides for sellers in Australia and more baking supplies guides.

General information only: tax, duty and import rules change and depend on your situation, so check with an accountant or the official source before acting.

Eligible Shopify stores can see these numbers for their own store through the Founding 10,000 offer.

Compare Products on Like-for-Like Terms

Compare products over the same period, using delivered orders and consistent GST treatment. The example below assumes one listed unit or set per order and excludes GST. Selling price shows customer value; landed cost tests sourcing economics; fulfilment cost exposes postage and handling pressure. Contribution per order shows what one additional sale leaves after variable costs, while contribution dollars shows the product’s total financial contribution.

Illustrative like-for-like comparison for one completed period (AUD, GST-exclusive)
ProductDelivered ordersSelling priceLanded costFulfilment costAd costContribution/orderContribution dollars
Cake scraper set80$24$8$6$3$7$560

How to Read the Worked Example

Read the worked example from left to right, treating each row as one product or set. The input columns establish the comparison: delivered units or orders, realized selling price, product cost, fulfilment or transaction costs, and advertising cost where included. Check that every product uses the same period and GST basis before comparing the results.

Follow the arithmetic across each row. Realized revenue comes from delivered units multiplied by the realized revenue per unit. Gross profit then subtracts product cost from that revenue. The later contribution measure subtracts the costs assigned to selling that product, including advertising where the example specifies it. A margin divides the relevant profit measure by realized revenue, so it shows efficiency rather than dollars alone.

Use each output for a different decision signal. Revenue and unit volume describe demand; gross profit shows product economics before the selected selling costs; contribution dollars show what the product adds after those costs; and contribution margin supports like-for-like efficiency comparisons. Read the action signal only after checking both dollars and margin: a high margin with little contribution may have limited scale, while strong contribution with a thin margin deserves closer cost or pricing review.

Deciding What to Cut

Do not discontinue an item because it ranks poorly on one measure. Contribution shows what each sale leaves after variable costs; demand indicates whether that contribution is repeatable. For illustration only, a $2 contribution across 200 delivered units produces $400, while an $8 contribution across 20 units produces $160. The first may deserve more attention despite the lower unit result.

Then check commitments and role. Remaining stock value, supplier minimums, inbound orders and packaging already purchased can make an immediate exit costly. A low-contribution colour or size may also attract first-time customers, increase basket value or support repeat purchases. Customer-level profitability and repeat behaviour help test that role rather than guessing from the product row.

Finally, price the work involved: storage space, picking, packing, breakage, support and returns. A product with acceptable contribution may still consume disproportionate operational time; a low-contribution product may be worth retaining if it is easy to handle and supports profitable customers. Use the combined evidence to choose scale, reduce, fix economics, test or stop. Set no universal cut-off: the right decision depends on demand, commitments, customer role and effort in your store.

A Quarterly Review Routine

At the end of each quarter, export the same product fields for the period: delivered units, realized revenue, product cost, advertising cost, refunds, returns, stock position and remaining stock value. Keep the file with its date, trading currency and GST treatment so the next review is comparable. If your store data sits in ORVX, its Shopify and advertising connections keep orders, products, customers and ad spend together for this check.

Compare each product with the previous quarter, then investigate exceptions rather than every row. Flag material cost increases, falling gross or net margin, high return or refund value, weak contribution after advertising, dead stock and stock value tied up in slow sellers. Check the underlying cause: a supplier invoice, packaging change, promotion, freight allocation, campaign, product fault or data error. Separate a one-off event from a repeated pattern.

Record the decision, owner, evidence and review date: scale, reduce, fix economics, test or stop. At the next quarterly review, revisit each action against actual results, not the original expectation. Keep, reverse or refine the decision and document why. This creates an audit trail for price tests, supplier negotiations, range changes and advertising changes without treating a forecast as proof that an action caused the result.

A useful baking supplies review does not ask which product sells the most; it asks what each item contributes after the costs it creates and what role it plays in the catalogue. Use revenue to understand demand, contribution to assess commercial value, and operational context to decide whether an item should be retained, repriced, replaced or removed.

Sources

How this page was made: drafted with AI from a brief, then checked by automated rules for arithmetic, sources and duplication. The sample numbers were calculated, not reported.