Your numbers at a glance
Cash contribution left from one modeled order after every entered cost.
Share of realized revenue left as modeled profit after entered costs.
Lowest modeled list price at which profit reaches zero.
Scenario-specific output from the deterministic calculator.
Scenario-specific output from the deterministic calculator.
Scenario-specific output from the deterministic calculator.
Strong modeled economics
The deterministic calculator produces USD 12.15 using the submitted assumptions. Treat this as the baseline for controlled tests.
Top three modeled opportunities
One-variable testsWhere the modeled money goes
The percentage is a visual share of the displayed model stack. It is designed to prioritize attention, not replace bookkeeping classifications.
Know the lines you should not cross
Below this modeled list price, the scenario no longer covers all entered costs.
Distance between the entered list price and the modeled break-even list price.
Approximate CPA ceiling before this order reaches zero modeled profit, holding every other input constant.
Downside, base and upside cases
$9.77
Average discount increases by 5 points
-$2.38 versus base$12.15
Exact submitted assumptions
Submitted baseline$14.53
Remove the average discount
+$2.38 versus baseThese cases change only the stated variable. They show exposure and direction, not probability.
Illustrative impact at order volume
Scales the same modeled net profit per order across volume. It does not assume conversion, demand or capacity changes.
What deserves attention first
Core result: Net profit per order
The deterministic calculator produces USD 12.15 using the submitted assumptions. Treat this as the baseline for controlled tests.
Cost lever #1: Landed product cost
This is one of the largest entered cost blocks at USD 15.50. Verify it against recent invoices before optimizing smaller line items.
Cost lever #2: Acquisition
This is one of the largest entered cost blocks at USD 8.00. Verify it against recent invoices before optimizing smaller line items.
Cost lever #3: Shipping & packaging
This is one of the largest entered cost blocks at USD 6.00. Verify it against recent invoices before optimizing smaller line items.
Ranked profit levers
| Controlled test | Baseline | Scenario | Modeled change |
|---|---|---|---|
| Remove the average discountNet profit per order | $12.15 | $14.53 | +$2.38 |
| Raise sale price by 5%Net profit per order | $12.15 | $14.41 | +$2.26 |
| Reduce product cost by 10%Net profit per order | $12.15 | $13.55 | +$1.40 |
| Reduce shipping cost by 10%Net profit per order | $12.15 | $12.65 | +$0.50 |
| Reduce refund rate by 20% relativeNet profit per order | $12.15 | $12.30 | +$0.15 |
Each row changes one input and holds all others constant. Start with the largest feasible lever, then recalculate using observed results.
Your five-step operating plan
- 01
Verify the three largest cost lines
Improving input accuracy is higher value than optimizing a small, uncertain cost.
Success measure: Modeled order profit reconciles to a sample of 20 real orders. - 02
Test a 5% price or bundle-value increase
Price is often the fastest lever when contribution is positive but thin.
Success measure: Profit per visitor, not only conversion rate, improves. - 03
Create a minimum contribution rule by channel
Different platform and acquisition fees require different price floors.
Success measure: Every active channel clears the chosen contribution threshold. - 04
Create a weekly actual-versus-model check
Input drift is more dangerous than formula complexity.
Success measure: The model is refreshed on a fixed cadence and material variances are explained. - 05
Keep a downside case with a 10% cost shock
A margin that survives only the exact base case is fragile.
Success measure: The downside case remains within your cash and profit limits.
Your next seven days
Freeze the submitted baseline
Output: Save the inputs, source dates and current result before changing anything.
Verify the three largest cost lines
Output: Modeled order profit reconciles to a sample of 20 real orders.
Choose one controllable test
Output: One owner, one variable, one success threshold and one stop rule.
Test a 5% price or bundle-value increase
Output: Profit per visitor, not only conversion rate, improves.
Launch or simulate the controlled test
Output: Observed data recorded separately from the original model.
Create a minimum contribution rule by channel
Output: Every active channel clears the chosen contribution threshold.
Recalculate and record the decision
Output: Keep, stop or revise the test based on the pre-committed threshold.
Commit the test before hindsight changes the story
Tools matched to this scenario
These tools are included only where they match the calculator workflow. A link marked “Affiliate” may earn Profit Per Order a commission at no extra cost to you. Compare current pricing, eligibility and regional terms directly with the provider.
Shopify
Hosted ecommerce platform for launching and operating an online store.
Review Shopify ↗Printful
Print-on-demand production and fulfillment for testing products without holding finished inventory.
Review Printful ↗Submitted assumptions
Display
Fees
Fulfillment
Landed product
Revenue
Risk and marketing
Calculation source & review status
This report inherits the calculator scope. It does not turn excluded costs, account-specific rates or future conditions into verified facts.
Inspect public sources & verification →How this report was calculated
- Net order revenue is list price after the average discount. Gross profit subtracts product cost and inbound freight. Net profit then subtracts outbound logistics, platform and payment fees, expected refund loss and acquisition cost.
- Net margin is net profit divided by net order revenue. Markup is the price uplift over landed product cost; it is not interchangeable with margin. The break-even list price reverses the fee and discount assumptions to solve for zero profit.
Keep these caveats attached
- The report interprets a planning model and does not replace accounting, tax, legal, customs or investment advice.
- Sensitivity scenarios change one field at a time; real-world variables can interact.
- Use realized contribution and cash data before committing material spend or inventory.