Good Conversion Rate
A "good" conversion rate depends on your vertical, device mix, and traffic source. Here are realistic benchmarks and how to read your own number against them.
Good Conversion Rate
A conversion rate is 'good' when it beats your segment's median for the same vertical, device, and traffic source — not a universal target.
A good conversion rate is a relative benchmark, not an absolute number. Online stores typically convert sitewide at 2-3%, but mature apparel and beauty brands regularly clear 4%, while high-consideration categories like furniture or electronics often sit below 1.5%. Device, traffic source, and even season shift the bar further.
The useful comparison is always like-for-like: your mobile organic rate against other stores' mobile organic rates, not a blended sitewide figure pulled from a generic report. Judging a single number against the wrong baseline is the most common reason teams either celebrate mediocre performance or panic over healthy results.
The phrase "good conversion rate" gets thrown around as if a single number exists. It doesn't. A 1.8% rate on a €300 average-order-value furniture store is genuinely strong; the same 1.8% on a €25 phone-accessory store is a red flag.
Before benchmarking, fix the denominator. Sitewide conversion rate (sessions to orders) is the most quoted figure, but checkout conversion rate, product-page conversion rate, and add-to-cart rate each tell a different story. Compare yourself only against numbers calculated the same way.
CR = (orders / sessions) * 100
CR
Conversion rate
Percentage of sessions that result in a completed order.
orders
Completed orders
Count of paid orders in the period, deduplicated by order ID.
sessions
Sessions
Total sessions in the same period and segment as the orders.
A Shopify apparel store in the €2M revenue band measures last month's performance segmented by device.
Desktop sessions: 80000
Desktop orders: 2880
Mobile sessions: 220000
Mobile orders: 4400
→ Desktop CR = 3.6%, Mobile CR = 2.0%, Blended CR = 2.43%
The blended 2.43% looks middling against an industry-average benchmark, but the desktop 3.6% is above the apparel median and mobile 2.0% is the real drag. Reporting only the blended figure would hide where the opportunity actually is.
That worked example is the reason segmentation matters more than the benchmark itself. The blended number is the average of two very different stories — and the average is the story that's least actionable.
Typical sitewide conversion-rate ranges by vertical and device (online retail, 2024)
| Vertical | Desktop | Mobile | Sitewide blended |
|---|---|---|---|
| Apparel & fashion | 3.5-5.5% | 2.0-3.5% | 2.5-4.0% |
| Beauty & cosmetics | 4.0-6.0% | 2.5-4.0% | 3.0-4.5% |
| Health & supplements | 3.5-5.0% | 2.0-3.5% | 2.8-4.0% |
| Home & garden | 2.0-3.0% | 1.2-2.0% | 1.5-2.4% |
| Electronics | 1.2-2.2% | 0.7-1.4% | 0.9-1.7% |
| Furniture & large goods | 1.0-1.8% | 0.5-1.0% | 0.7-1.3% |
| Food & beverage (DTC) | 3.0-4.5% | 1.8-3.0% | 2.4-3.6% |
| Jewellery & accessories | 1.5-2.5% | 0.8-1.5% | 1.1-1.9% |
Use these ranges as a sanity check, not a target. If your apparel store's mobile rate sits at 1.4%, you're below the bottom of the range — that's a diagnosis, not a death sentence. The next step is to look at where in the funnel the gap opens: product page, add-to-cart, or checkout.
Traffic source shifts the bar too. Branded search and email convert 3-5x higher than cold paid social, so a stack heavy on Meta prospecting will pull a blended rate down even when the site itself is performing well. Always check your conversion rate against the right channel mix before declaring a problem.
Good conversion rate: frequently asked questions
For most online retail, 2-3% sitewide is the median and 4%+ is strong. The exact 'good' number depends on your vertical, device mix, and traffic source — apparel and beauty trend higher, furniture and electronics trend lower.
Shopify's own data has historically pegged 1.4% as the bottom quartile, 3.3% as the median, and 4.8%+ as the top quartile across stores. That blends every vertical, so judge your store against the figures for your category, not the platform-wide number.
Mobile typically converts 30-50% lower than desktop because of smaller screens, form friction, slower load times, and the fact that mobile sessions skew toward browsing rather than buying. A 1.5-2x desktop-to-mobile gap is normal; a 3x gap suggests a UX or speed problem.
No. Sitewide conversion rate is orders divided by total sessions. Checkout conversion rate is orders divided by sessions that started checkout — a much smaller, higher-intent denominator. Healthy checkout conversion rates sit between 45% and 65%.
Higher-AOV categories convert at lower rates because the purchase is more considered. A 1.2% rate on a €400-AOV furniture store can be more profitable per session than a 4% rate on a €30-AOV accessories store. Always look at revenue per session alongside conversion rate.
Cold paid social (Meta, TikTok prospecting) usually converts at 0.5-1.5% — well below site averages — because the audience is interrupted, not searching. Retargeting from the same channels typically converts at 2-4%, closer to branded search.
Yes, especially on mobile. Stores that cut Largest Contentful Paint from 4s to 2.5s typically see 8-15% lifts in mobile conversion. Above 4s, every additional second tends to cost 3-7% of conversions, with diminishing returns once you're under 2s.
At least 28 days for a stable read, and ideally a full month-on-month comparison to absorb weekly cycles. Anything shorter than two weeks for a mid-traffic store is dominated by noise — promotions, weather, payday cycles — rather than real performance.
Revenue per session is the better north star because it captures AOV alongside conversion rate. A discount can lift conversion rate while cutting revenue per session — that's a loss disguised as a win. Use conversion rate as a diagnostic; use revenue per session as the goal.
Start with the largest funnel leak, not the most visible page. Pull a funnel breakdown (landing → product → cart → checkout → order), find the step with the worst stage-conversion versus benchmark, and run a focused test there. Most stores find their biggest gap in checkout or mobile product pages.
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