Ecommerce ROI Calculator
Measure ads against gross profit, not flattering revenue.
Convert sessions and orders into a conversion rate and revenue per visitor, then see in money what a small uplift is worth — and how much extra traffic it would take to match it.
Fee schedules move. Marketplace commissions, payment rates, fulfilment charges and carrier surcharges are revised regularly and differ by country, plan, category and parcel profile. Read the current published rate card before you price a product on these numbers, and treat any tax figure here as arithmetic rather than advice on what you owe.
Conversion rate is the most quoted metric in ecommerce and the most casually misused, because a change of a quarter of a percentage point sounds trivial and is often worth more than a quarter of your traffic. This calculator converts the percentage into money, which is the only form in which it can be argued about sensibly.
Revenue per visitor is the underrated figure on this page. It folds conversion and order value into one number, which stops a team optimising one at the expense of the other.
Three simple ratios and one comparison that turns them into a decision.
| Symbol | Meaning | Unit | Typical range |
|---|---|---|---|
Sessions | Visits in the period | count | — |
Orders | Completed orders in the same period | count | — |
Rate | Orders ÷ sessions | % | 0.5 – 4 |
AOV | Revenue ÷ orders | currency | — |
RPV | Revenue ÷ sessions | currency | 0.30 – 5 |
Revenue per visitor is conversion rate multiplied by average order value, which is why it is the better single metric. A test that raises conversion by bundling cheaper products can lift the rate and lower revenue per visitor at the same time — and only one of those two numbers notices.
Producing $14,466.60 of extra revenue at the current 1.70% rate would need 12,443 extra sessions — a 14.7% traffic increase. If those sessions cost anything at all to acquire, the conversion work is almost certainly cheaper: at even 40 cents a session, that traffic costs $4,977 every month, forever, while a conversion improvement is generally paid for once.
Ten per cent more traffic would produce $108,195 of revenue. A quarter-point of conversion produces $112,826. The conversion work wins, costs less and does not stop working when the budget does — which is the general shape of the argument, though it depends entirely on how much room your rate has left.
Orders and revenue at conversion rates either side of yours.
| Conversion rate | Orders | Revenue | Difference |
|---|---|---|---|
| 1.20% | 1,015 | $69,426 | −$28,933 |
| 1.45% | 1,227 | $83,893 | −$14,467 |
| 1.70% | 1,438 | $98,359 | Where you are |
| 1.95% | 1,650 | $112,826 | +$14,467 |
| 2.20% | 1,861 | $127,292 | +$28,933 |
Each quarter-point is worth exactly $14,467 at this traffic level and order value, which makes the arithmetic of a testing programme unusually easy to reason about. If a test costs $3,000 to design and run and has a reasonable chance of moving the rate a quarter of a point, the expected return is straightforward — and it recurs every month rather than once.
What counts as a good conversion rate depends heavily on category, traffic mix and price point. Rates between 1% and 3% are common for general ecommerce; considered purchases and high-value items run lower, repeat-purchase consumables run higher, and any store with a large share of branded search traffic will look better than one buying cold traffic. Comparing your rate against an industry average is far less useful than comparing it against your own last quarter.
Segment before you conclude anything. A blended 1.70% might be 4% on returning visitors and 0.9% on new ones, or 2.4% on desktop and 1.2% on mobile. The blended figure moves when the traffic mix moves, entirely independently of whether the site got better — which is why a rate that fell after a successful traffic campaign is usually good news rather than bad.
Five things that make a conversion rate say less than it appears to.
The denominator is a choice. Sessions, users, unique visitors and product-page views all give different rates on the same store. Pick one, write it down, and never compare a figure calculated one way against a figure calculated another.
Traffic mix moves the number. Adding cheap top-of-funnel traffic lowers the rate while raising revenue. Penalising a marketing team for a falling conversion rate during a successful awareness campaign is a common and entirely avoidable mistake.
Bots and internal traffic inflate sessions. Unfiltered crawler and office traffic can be several per cent of sessions on a small store, which depresses the rate without anything real happening. Filter both before trusting a trend.
Small tests prove very little. At 1.70% conversion, a test needs tens of thousands of sessions per variant to detect a quarter-point change reliably. Calling a winner after a fortnight on a low-traffic store is guessing with extra steps.
Conversion is not the same as profit. A discount code raises the conversion rate and lowers the margin. Check any uplift against the profit per order before celebrating, because the two can move in opposite directions.
A closing thought on where the improvements actually come from. Conversion work has a reputation for button colours and headline tests, and the evidence from most stores is that the large wins are duller than that: page speed, clear delivery costs shown early, a checkout that does not demand an account, honest stock and delivery-date information, and photography that answers the question a customer is actually asking. None of those are tests so much as repairs.
The corollary is that the first quarter-point is usually much cheaper than the third. A store at 1.70% with an unfixed mobile checkout has obvious work available; a store at 3% that has already done all of it is buying much smaller increments for much more effort. Knowing which of those two you are is worth more than any benchmark, and the honest way to find out is to walk your own checkout on a phone, on mobile data, as a new customer.
Once you know what a point of conversion is worth, the ecommerce ROI calculator puts it alongside advertising efficiency, which is the other half of the same revenue equation.
Divide orders by sessions and multiply by 100. On the example, 1,438 orders from 84,600 sessions is a 1.70% conversion rate.
One to three per cent is typical for general retail, with considered purchases running lower and repeat consumables higher. Your own trend matters far more than any industry average.
Revenue divided by sessions — $1.16 here. It folds conversion rate and order value into one number, which stops a team improving one at the expense of the other.
Moving from 1.70% to 1.95% is 0.25 percentage points and a 14.71% increase in orders. Quoting the first figure makes good work sound trivial; the second is the one worth reporting.
On this store, $14,467 a month — the same as a 14.7% traffic increase, which would need 12,443 extra sessions and would have to be bought again every month.
Either, consistently. Sessions is the common convention and gives a lower rate than users. What matters is never comparing a figure built one way against one built the other.
Almost certainly traffic mix. Cheap top-of-funnel traffic converts worse than branded search, so the blended rate falls while total revenue rises. That is usually good news.
Yes. A blended 1.70% might be 4% on returning visitors and 0.9% on new ones, or 2.4% desktop and 1.2% mobile. The blended figure moves with the mix rather than the site.
At a 1.70% base rate, tens of thousands of sessions per variant to detect a quarter-point change reliably. Calling a winner after a fortnight on low traffic is guessing.
No. A discount code raises conversion and cuts margin; a bundle can raise conversion and lower revenue per visitor. Check any uplift against profit per order before acting on it.
Six tools that pick up where this one leaves off.
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