See where your margin is made, and exactly where it leaks.True contribution margin, down to the SKU.
Unit Economics reads true contribution margin (revenue after COGS, shipping and fees) across seven dimensions: segment, category, sub-category, product, region, channel and cohort. You see which lines actually make money and which quietly lose it once real costs apply. One pivotable cube, a CM waterfall and bridge, ranked margin-by-dimension, cohort economics and a CM forecast, every cell drillable to the order behind it. We tell you where the leak is; we do not run your store.
The unit-economics questions revenue hides.
Not what you sold. What each sale actually kept, where the margin is made, and which lines lose money once real costs apply.
See exactly what an order keeps.
Revenue is what an order is worth; contribution is what it keeps. The stepdown takes order value down through COGS, shipping and the payment and platform fees that move with every sale, so unit economics becomes a decomposition you can audit rather than a margin assumption applied across the board. Where cost data is missing we say so, and never fake a margin.
- Order to contribution. Every cost that moves with a sale, deducted in order
- Audited, not assumed. Each leg traces to its source, with COGS coverage shown
- Never a fake margin. A missing cost renders honestly instead of as zero
Rank every line, and see how concentrated the margin is.
A healthy blended margin can hide products that lose money on every sale, and it never tells you how fragile the margin is. Pick one of the seven dimensions and see its full CM1 distribution ranked best to worst, the CM-negative tail in red, and the concentration: a Pareto cumulative showing how few values make 80% of contribution, and a Gini score for how unevenly it is spread. So you know not just which lines to fix, but how exposed you are if the top few slip.
- Ranked by contribution. Best to worst, with the CM-negative tail in red
- Pareto & Gini. How few values carry the margin, and how fragile that is
- Any of the seven. Segment, category, sub-category, product, region, channel or cohort
See why margin moved, not just that it did.
The waterfall chains list revenue down through discounts, COGS, shipping and fees to true CM1 on the covered basis, so the margin number ties out leg by leg. Then the period-over-period bridge splits the change into the four forces that drive it: volume, price, mix and cost. A drop becomes an attribution you can act on, not a number you stare at.
- Chains to CM1. List revenue to true contribution, every leg reconciled
- Volume · price · mix · cost. The four drivers of period-over-period change
- Scoped to any cell. Drill in from the cube to bridge a single category or region
See if the customers you acquire pay back.
Every acquisition month is a cohort, tracked in true contribution margin over its life. The CM1-LTV triangle shows whether acquisition quality is drifting; the first-order CM ladder (CM1 to CM2 after fees to CM3 after CAC) and the days-to-payback climb show whether a customer pays for themselves on order one or relies on the repeat tail. Read down a column to compare cohorts at the same age, drill any cohort to its customers.
- CM1-LTV triangle. Cumulative true contribution per customer, by cohort age
- The CM ladder. First-order CM1, CM2 after fees, CM3 after CAC, and payback days
- Break-even rank. Which order number clears the blended CAC, and how many reach it
See where margin is heading, and stress-test it.
A deterministic, explainable forecast (an OLS trend times a multiplicative monthly seasonal index) projects true CM1 forward from your own history with a likely range, so you can plan inventory and cash around the seasonal peak. Then the what-if sandbox recomputes CM1 off the real line economics of the selected period when you flex price, COGS, volume, discount or refund rate: no black box, no demand-elasticity guess, and a sensitivity ranking of which lever moves margin most.
- Trend × seasonal. Projected CM1 with a likely range, on your own history
- Deterministic what-if. Flex price, COGS, volume, discount or refund and watch CM1 recompute
- Lever ranking. Which single move buys the most contribution
Built on your store, reconciled to true profit.
Contribution margin is read straight off your orders and costs. The core unit economics need no ad connection at all.
◇Orders & revenue
Every order, refund and discount from your store, so revenue is net and real and attributed to the right SKU, channel and customer.
☵True cost
COGS, landed cost, shipping and payment fees per order, with a coverage badge on every margin, so contribution is the profit after the costs that move with a sale.
↗Deeper layers
CM2 (after payment fees) is live from Shopify Payments settlement. Blended CAC and the after-CAC ladder (CM3) light up as ad spend connects; the cohort, bridge and forecast all read in the same true CM1.
Built by an award-winning analytics team.
Margin OS comes from Blufire, trusted by 100+ mid-market and enterprise brands and recognised across the APAC and Global Search Awards. The same people now model your margin.
One read of eight.
Every part of the business, denominated in the same contribution margin.
The things buyers ask.
See where your margin is really made.
Connect your store and your costs. We reconcile every order to true contribution margin and show you, cell by cell, where the profit is made and where it leaks.
Connect your store
Orders, refunds and discounts. No data team.
Load your costs
COGS, shipping and fees, mapped with us.
Reconcile to true margin
One contribution number that ties out.
Open the cube
Pivot across all seven dimensions, drill to the order.
Bridge, cohort, forecast
Attribute the move, check payback, project CM1.