Connect ShopifyAverages hide the leak
Two stores can have the same 1.5% conversion rate for completely different reasons — one has product pages that don't sell, the other has a checkout that scares people off. The fixes have nothing in common. This calculator breaks your store funnel into four steps, compares each against median Shopify benchmarks, and converts every gap into a dollar figure using your AOV and margin — so you prioritize by cost, not by opinion.
How the math works
For each step, we take the gap between your conversion rate and the benchmark, apply it to the traffic entering that step, then carry those extra visitors through your actual downstream conversion — not the benchmark's — so leaks are never double-counted. Recovered orders × your margin per order = the monthly cost of that leak. Example: a store with 100,000 sessions converting at 0.96% against these benchmarks is leaking roughly $17,000 of monthly margin, with the biggest gap between product page and add to cart.
How to read your funnel
Fix the biggest dollar leak first — one step at a time, because upstream changes reshuffle everything downstream. Session-to-product-view gaps are usually a traffic-quality or merchandising problem: wrong visitors, weak collection pages. Product-to-cart gaps live on the product page: price clarity, proof, imagery, shipping expectations. Cart-to-checkout losses point at surprise costs. Checkout-to-purchase is friction: forced accounts, missing payment methods, slow load. Benchmarks are medians, not physics — beating one doesn't mean you're done, and a "good" step can still be your biggest dollar leak if it handles the most traffic.
What this model can't see
One caveat worth being honest about: this assumes one benchmark fits your whole store. In reality, funnel behavior differs by product, by channel, and by device — your paid social traffic and your email traffic don't leak in the same place. That's the level where fixes actually happen. To see what recovered customers are worth over time, run the LTV & CAC payback calculator. To price the leak between cart and purchase, use the cart abandonment calculator; to price a fix, use the CRO ROI calculator. For why single-session funnel math and last-click reporting disagree, read Shopify attribution without the theater.
Frequently asked questions
It depends on the store, which is the point of running the math in dollars rather than percentages. Product-page-to-add-to-cart handles the largest audience for most stores, so a small gap there is often worth more than a large gap at checkout — but the ranking flips as soon as traffic mix or price point changes.
Multiply your monthly orders by the relative lift to get incremental orders, then multiply by AOV for revenue and by gross margin for profit. Because those orders come from traffic you already pay for, the margin figure is the honest number to plan against.
Funnel math models one visit as a straight line from session to purchase. Journey-level LTV follows the same person across visits, channels and repeat orders, so it can tell you which traffic produces buyers who come back — something a single-session funnel model cannot see.
Around 1.4–1.5% is a common median for Shopify stores, with strong performers above 3%. But the overall number matters less than where you lose people — a median store can still have one badly broken step subsidized by an excellent one.
As a share of sessions, roughly 5–7% is a healthy zone for most stores; as a share of product-page viewers, around 10–14%. Below that, the product page itself — price presentation, proof, imagery, shipping expectations — is usually the culprit.
Cart abandonment counts everyone who added to cart and didn't buy — it's high everywhere and always will be. Checkout abandonment counts people who started checkout and quit, which is a much stronger signal: they intended to buy and something stopped them. Fix checkout abandonment first.
They're representative medians for Shopify stores, assembled from published industry benchmark ranges, and deliberately conservative. Treat them as a reference line for finding your weakest step, not as targets — your vertical, price point, and traffic mix all shift what good looks like.
Because percentages don't prioritize. A two-point gap on a step handling 40,000 visitors is worth far more than a ten-point gap on a step handling 900. Converting each gap into monthly margin makes the priority order obvious — and makes the business case for fixing it.
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