What is break-even ROAS?

Break-even ROAS is the ROAS where ad spend equals your profit before ads, so you neither make nor lose money. It equals 1 divided by your profit margin before ad cost. A 50% margin gives a break-even ROAS of 2.

Why does my ROAS differ between Meta and Shopify?

Platforms use different attribution windows and methods. Meta may credit a sale to an ad someone viewed, while store analytics may credit the last click. Missing tracking events and privacy settings also cause gaps, so compare trends rather than exact numbers.

ROAS (return on ad spend)

ROAS (return on ad spend) is revenue generated from ads divided by what those ads cost, showing how many dollars come back for each dollar spent.

What is ROAS?

ROAS, or return on ad spend, measures how much revenue your advertising brings in for every unit of money you spend on it. A ROAS of 3 means every 1 dollar of ad spend returned 3 dollars in revenue. For an online store and its media buyers, ROAS is the most common way to judge whether a campaign, ad set or creative is worth keeping, scaling or cutting. It is quick to read and easy to compare across ads. However, ROAS looks only at revenue, not profit, so it must be read against your margins to know whether ads actually make money.

How to calculate ROAS

Divide the revenue attributed to your ads by the amount spent on those ads. For example, if a campaign spent 2,000 and generated 5,000 in sales, ROAS is 5,000 divided by 2,000, which is 2.5. To know if that is profitable, compare it to your break-even ROAS, which is 1 divided by your profit margin before ad cost. If a product sells for 50 and costs 22.75 to make, ship and process, profit is 27.25, margin is 54.5%, and break-even ROAS is about 1.83. A ROAS of 2.5 is above that, so the campaign makes money.

What is a good ROAS?

A good ROAS depends entirely on your margins, so it varies by niche and product. A high-margin product can be profitable at a ROAS that would lose money for a low-margin product. That is why the best benchmark is your own break-even ROAS. Anything above it earns profit on the first order, and anything below it loses money unless repeat purchases make up the difference. Stores with strong subscriptions or repeat buying can often accept a lower first-order ROAS. Retargeting campaigns typically show higher ROAS than prospecting, because they reach people who were already close to buying.

How to improve ROAS

Test new creatives often, since the ad itself is usually the biggest lever, and study which hooks and formats competitors keep running. AdLibrarySpy shows competitors’ live Meta ads for free, which helps you spot angles worth testing. Improve your landing page so more clicks turn into orders. Raise average order value with bundles, upsells and free-shipping thresholds, which lifts revenue without extra spend. Cut ads and audiences that stay below break-even after a fair test. Finally, make sure your pixel and server-side events are tracking purchases correctly, because broken tracking makes good ads look bad.

ROAS vs ROI

ROAS compares revenue to ad spend only. ROI, or return on investment, compares profit to the total cost of an investment, including product cost, shipping, fees and other expenses. A campaign can have a ROAS of 2 and still lose money if your margins are thin, because ROAS ignores what the product costs you. ROI tells you whether you actually made money overall. Use ROAS for fast day-to-day ad decisions, and use ROI or profit to judge whether the business is truly healthy. A healthy account watches both, because strong ROAS on thin margins can still leave the business short of cash at the end of the month.

Free tool: Break-even ROAS Calculator

Questions

What is break-even ROAS?: Break-even ROAS is the ROAS where ad spend equals your profit before ads, so you neither make nor lose money. It equals 1 divided by your profit margin before ad cost. A 50% margin gives a break-even ROAS of 2.
Why does my ROAS differ between Meta and Shopify?: Platforms use different attribution windows and methods. Meta may credit a sale to an ad someone viewed, while store analytics may credit the last click. Missing tracking events and privacy settings also cause gaps, so compare trends rather than exact numbers.