Calculate return on ad spend, break-even ROAS, profit after ad spend, target CPA, and budget scenarios from revenue, margin, average order value, and conversion assumptions.
ROASBreak-even ROASCPA targetProfit after ads
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See whether ad spend is profitable
Use campaign presets or enter your own numbers. The calculator separates ad spend, revenue, gross margin, fulfillment costs, average order value, and conversion rate so you can compare actual ROAS with break-even ROAS.
Current ROAS0.00xAdjust inputs to calculate campaign performance.
Inputs
Results
Return on ad spend0.00x
Revenue divided by ad spend.
Break-even ROAS0.00x
ROAS needed before profit.
Profit after ads$0
Contribution after ad spend and variable costs.
Target CPA$0
Max cost per order for target profit.
Scenario revenue$0
Based on scenario budget and expected ROAS.
Campaign breakdown
Optimization checklist
ROAS and break-even formula
ROAS shows revenue generated for each dollar spent on ads. Break-even ROAS adds your margin and variable costs so you can see whether a campaign covers more than media spend.
ROAS = ad-attributed revenue / ad spend
Break-even ROAS = 1 / contribution margin after variable costs
For ecommerce, a campaign can have a high ROAS and still lose money if gross margin, fulfillment, returns, fees, or discounts are not included.
What is a good ROAS?
A good ROAS depends on gross margin, repeat purchase rate, cash flow, and growth goals. A 3x ROAS may be strong for a high-margin product and weak for a low-margin product.
Why is break-even ROAS higher than 1.0x?
A 1.0x ROAS only means revenue equals ad spend. You still need to cover product cost, fulfillment, payment fees, refunds, labor, and any required profit target.
How do I use target CPA?
Target CPA estimates the maximum ad cost per order or lead for your margin and profit goal. Use it as a planning benchmark, then compare it with actual conversion quality and lifetime value.
Can this replace ad platform reporting?
No. Use it to model scenarios. Final reporting should reconcile ad platforms, analytics, ecommerce data, CRM data, and finance records.