Break-even ROAS is a single division problem, so this piece settles what actually feeds it and why store owners misjudge it by borrowing a sitewide conversion rate instead of the price-segmented one that matches their actual order.
Most merchants think break-even ROAS is a fixed number they can look up once and reuse forever, but it moves every time the conversion rate underneath it moves, and the conversion rate underneath it is not one number, it is a range that depends on price band and category.
Break-even ROAS is a ratio, and every ratio is only as good as its weakest input. The weakest input in almost every calculation a merchant runs is conversion rate, because it gets pulled from memory or from a generic industry figure instead of from the store’s own orders. Shopify’s benchmark guidance walks through a basic version of this: take 1,000 visits, and if 50 of those visits lead to an order, the conversion rate is 50 divided by 1,000, or 5%. Change nothing but the order count and the picture changes entirely, because the same 1,000 visits with 20 purchases works out to (20 / 1,000) x 100, or 2%. A break-even ROAS calculator that assumes 5% conversion when the store is actually running at 2% will tell a merchant they can afford to spend far more on ads than they actually can.
There is no single authoritative conversion rate for ecommerce, and two credible sources land in different places. Statista reports that 1.4% of global ecommerce visits converted into purchases in Q1 2026. A separate benchmark, one that draws on conversion data across more than 400 brands, puts the global average higher, at 2.66%. Neither number is wrong, they are just measuring different populations of traffic and different sets of stores. For a break-even ROAS calculator, the practical takeaway is that plugging in “the industry average” without checking which industry average is doing real damage to the accuracy of the output, because the gap between 1.4% and 2.66% is nearly double.
Beyond the global figures, the industry breaks down by category, and the spread there is wide enough to move a break-even ROAS threshold on its own. The averages for June this year show food and beverage converting at 4.58%, while beauty and personal care converts at 5.32%. A store selling in the higher-converting category can justify a lower ROAS floor because more of its traffic is turning into revenue at the same spend level, and a store in the lower-converting category needs a higher ROAS floor to hit the same profit outcome. Anyone running a break-even ROAS calculator without checking which category average is closest to their own store is working from a number that may not apply to them at all.
| Segment | Conversion rate | Source period |
|---|---|---|
| Statista global average | 1.4% | Q1 2026 |
| 400-brand benchmark average | 2.66% | not dated beyond benchmark period |
| Food & beverage | 4.58% | June this year |
| Beauty & personal care | 5.32% | June this year |
| Worked example, 1,000 visits / 50 orders | 5% | illustrative |
| Worked example, 1,000 visits / 20 orders | 2% | illustrative |
The single most repeated piece of guidance in Shopify’s own benchmark material is to stop looking at a single sitewide conversion figure and instead segment orders by price range, for example under $50, $50 to $200, and above $200. This matters for break-even ROAS because ad spend rarely targets a store’s full catalog evenly, it usually pushes traffic toward specific products or collections that sit in one price band. A calculator fed a blended, sitewide rate will misprice the break-even point for anything that sits away from the average order value, understating the real threshold for premium items and overstating it for cheaper ones.
The figures in this article come from Shopify’s ecommerce conversion rate benchmarks page as loaded on September 13, 2026, including the Statista Q1 2026 figure and the June category averages cited within it.
So before trusting any break-even ROAS output, check which conversion rate it assumes and where that rate came from. Then rerun the number using a rate segmented by your own price bands and category rather than a global average that was never measuring your store in the first place.
It needs your cost of goods, your average order value, and your conversion rate, because ROAS is revenue divided by ad spend and break-even is the point where that ratio covers your margin exactly. The conversion rate is the part most people get wrong, because they pull a single sitewide number instead of segmenting orders by price range, for example under $50, $50 to $200, and above $200. A worked example from Shopify's own benchmark page shows 1,000 visits and 50 orders giving a 5% rate, and the same 1,000 visits with 20 orders giving a 2% rate, so the segment you use changes the break-even point a lot. Without a real conversion number for your own price band, the calculator is just producing a guess dressed up as a formula.
Neither one is right for every store, because they come from different measurement methods. Statista reports that 1.4% of global ecommerce visits converted into purchases in Q1 2026, while a separate benchmark that covers conversion data across more than 400 brands puts the global average at 2.66%. The difference likely comes down to what traffic and what stores each dataset includes. For a break-even ROAS calculation, use whichever number is closer to your own category and price range rather than picking the higher or lower one because it flatters your budget.
Yes, and the industry averages for June this year make that clear: food and beverage converts at 4.58% while beauty and personal care converts at 5.32%. A store in a 5.32% category can carry a lower ROAS threshold before losing money than a store converting at 4.58%, all else equal, because more of its traffic turns into revenue at the same spend. That is why a single break-even ROAS number quoted for the ecommerce category overall is close to meaningless for any one store.
Because orders under $50, orders between $50 and $200, and orders above $200 behave differently and blending them into one sitewide conversion rate hides that. Shopify's guidance is explicit about this: segment orders by price range instead of looking at a single sitewide number. A break-even ROAS calculator fed a blended rate will understate the threshold for your high-ticket items and overstate it for your low-ticket ones, so the number that comes out the other end is not really break-even for either group.
As often as the underlying rate is likely to move, which for most stores means checking it against fresh data rather than reusing a number from last year. The datasets cited here carry specific dates, Q1 2026 for the 1.4% figure and June this year for the category averages, and a break-even ROAS built on stale conversion data drifts away from reality the same way any stale input does.