Break-Even ROAS Calculator
If you don’t know your true contribution margin โ including shipping, transaction fees, and returns โ you’re setting ad budgets without a floor. This calculator finds the break-even ROAS your campaigns must clear before generating any contribution profit.
Quick Answer: The Break-Even ROAS Formula
Break-Even ROAS = 1 รท Pre-Ad Contribution Margin. Contribution margin here is net revenue per order minus variable costs (COGS, shipping/fulfillment, transaction fees, and expected return cost), divided by net revenue โ before advertising spend and fixed overhead. A $100 order with $40 in total variable costs has a 60% contribution margin and needs a 1.67x ROAS to break even on contribution. Any campaign below that number is losing contribution on every sale โ regardless of what your ad platform’s dashboard shows.
This calculator runs entirely on your own numbers โ nothing is hardcoded. Platform-level ROAS benchmarks vary meaningfully by source and shift with attribution methodology; your own break-even ROAS, calculated from your real contribution margin, is the only number that’s actually fixed for your business.
How to Use This Break-Even ROAS Calculator
Load a preset or enter your own
Unit economics: net revenue per order, COGS, shipping, transaction fees, and expected return cost.
Add campaign data
Ad spend and orders for the campaign you’re evaluating.
Add total revenue & spend
Across all channels โ this unlocks your blended MER.
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Break-even ROAS, estimated ROAS, contribution margin, CPA, and contribution profit after ads โ instantly.
Why Shipping, Fees, and Returns Change Your Break-Even
A $50 apparel item with $20 COGS looks like a 60% margin product on paper. After $6 shipping and $1.75 in Shopify or Stripe fees, the contribution margin drops to 44.5%. That shifts break-even ROAS from 1.67x to roughly 2.25x. Add a realistic return-cost allowance for a return-prone category and the true break-even climbs further. At scale, that gap determines whether a campaign is generating contribution profit or steadily burning cash.
According to the Improvado ROAS guide, including all variable costs in the margin calculation is the standard approach used by professional media buyers. Top Growth Marketing’s break-even ROAS tool similarly frames gross margin โ shipping and fees included โ as the correct denominator for a break-even ROAS target.
Eightx’s ROAS breakdown goes a step further, framing the calculation around contribution margin specifically โ COGS, payment fees, shipping, fulfillment, and return-handling cost โ rather than a simplified gross margin figure. This calculator follows that framing and now includes a Returns/Refund Cost field so it isn’t left out of your number.
One 2026 DTC margin analysis from Luca illustrates the issue with a hypothetical $75 apparel order: after COGS (~35%), ad spend (~25%), shipping and returns (~17%), platform fees (~2.9%), and payment processing (~3.3%) are all allocated, the order nets roughly 8.8% in profit.
Every one of those line items โ not just COGS โ belongs in a break-even calculation.
Break-Even ROAS by Contribution Margin โ Reference Table
| Pre-Ad Contribution Margin | Break-Even ROAS | Typical Business Type |
|---|---|---|
| 20% | 5.00x | Low-margin dropshipping, commodities |
| 30% | 3.33x | Consumer electronics, supplements |
| 40% | 2.50x | Mid-tier apparel, home goods |
| 50% | 2.00x | Premium fashion, beauty |
| 60% | 1.67x | Private label, branded products |
| 80%+ | 1.25x | Digital products, low-overhead services |
2026 ROAS Benchmarks: Average, Median, and by Platform
One widely cited 2026 dataset โ Triple Whale’s benchmark report, covering 18,000+ e-commerce brands โ reports an average ROAS around 2.87x, but the median sits meaningfully lower at roughly 2.04x, meaning half of the brands in that dataset return less than $2 for every ad dollar spent.
Platform benchmarks diverge further: commonly cited 2026 figures put Google Ads around 3.5x and Meta around 1.9x, though these vary by dataset, vertical, campaign type, and attribution methodology โ comparing your ROAS to a cross-category benchmark rather than your own peer set is a common mistake. Treat all of these as directional; your break-even ROAS, not an industry average, is the number that actually matters for your business.
| Channel | Commonly Cited 2026 ROAS |
|---|---|
| Google Ads (Search) | ~3.5x |
| Meta Ads | ~1.9x |
| Blended e-commerce average | ~2.87x |
| Blended e-commerce median | ~2.04x |
ROAS vs. MER โ Which Number to Use When
In-platform ROAS is a channel metric. It measures revenue attributed to one platform divided by what you spent there. It can overstate performance when attribution windows overlap, when customers would have purchased without the ad, or when other channels contributed to the conversion. Attribution-window length alone can materially change reported ROAS โ some published examples show a campaign’s reported ROAS shifting 200โ300% between a 1-day and a 30-day attribution window for the same underlying performance.
MER โ total revenue divided by total spend โ avoids relying on any single ad platform’s attributed revenue and gives a blended, business-level efficiency view. It’s useful for evaluating overall marketing efficiency and business-level scaling, but pair it with contribution margin, new-customer CAC, and channel-level ROAS when diagnosing individual campaigns rather than treating MER as a complete standalone answer. Reported 2026 MER benchmarks scale with revenue stage: brands under $5M/year commonly run a blended MER of 1.5x to 2.5x and often accept a loss on first order; $5Mโ$10M/year brands commonly run 2.5x to 3.5x; $10Mโ$25M/year brands commonly run 3.0x to 4.5x; and $25M+/year brands often push 3.5x to 6.0x or higher as email, SMS, and retention revenue compound.
| Annual Revenue Stage | Commonly Cited Blended MER |
|---|---|
| Under $5M / year | 1.5x โ 2.5x |
| $5M โ $10M / year | 2.5x โ 3.5x |
| $10M โ $25M / year | 3.0x โ 4.5x |
| $25M โ $100M / year | 3.5x โ 6.0x+ |
ROAS & Profitability FAQ
What is a good ROAS for e-commerce?
Should I include shipping and returns in my break-even ROAS calculation?
What is MER and why does it matter?
How do I improve ROAS without increasing ad budget?
How This Estimate Is Built
The break-even ROAS math (1 รท pre-ad contribution margin) is fixed arithmetic, not an estimate โ it’s exact once you enter your real net revenue, COGS, shipping, fees, and return cost. This is contribution economics: what’s left after the variable costs tied to each order, before advertising spend and fixed overhead like salaries, software, and rent. The “Contribution Profit After Ads” figure subtracts ad spend from that but still doesn’t reach full business net profit.
The industry benchmark figures shown alongside the calculator (platform ROAS ranges, MER-by-revenue-stage, the 2.87x/2.04x average/median split) are drawn from specific, named 2026 sources โ cross-checked before publication โ but reported benchmarks vary meaningfully by dataset, vertical, and attribution methodology. Treat the benchmark tables as directional context; your own break-even number is the one that’s actually specific to your business. This calculation also assumes a campaign’s orders share roughly the same average revenue and variable-cost structure as your inputs.
Built and verified by R.K., Creator & Business Economics Analyst
Disclaimer: This Break-Even ROAS Calculator provides mathematical estimates based on your inputs โ a contribution-margin and contribution-profit model, not full business net profit. Actual profitability also depends on fixed overhead, salaries, software, payment processor tier pricing, platform attribution methodology, and blended channel performance beyond what this tool models. Estimated ROAS and estimated campaign revenue assume the orders you enter share your average order value; actual attributed revenue can differ due to discounts, refunds, or mixed order sizes. All figures should be verified against your actual profit and loss statement before making budget or scaling decisions. Ultimate Info Guide is not affiliated with any advertising platform or agency.