The short answer
A good conversion rate is roughly 2 to 3% for a whole online store, around 6.6% for a dedicated landing page, and well into the double digits for an email opt-in page fed by warm traffic.
Three answers, because "conversion rate" is three different measurements wearing the same name. A store converting strangers into buyers, a landing page converting ad clicks into leads, and an opt-in page converting subscribers into registrants are different jobs, and their benchmarks sit far apart. Anyone who quotes one number without asking what kind of page, what traffic, and what action is guessing.
This guide gives you the defensible numbers with their sources attached, explains why the famous benchmarks contradict each other, and flags the widely quoted figures that are folklore.
What conversion rate actually measures
Conversion rate is the percentage of visits that result in the action you care about: conversions divided by visits, multiplied by 100. If 1,000 sessions produce 25 sales, your conversion rate is 2.5%.
Simple formula, slippery details. The first is the denominator. Counting sessions gives a different rate than counting unique visitors, because one person can visit four times before buying. Shopify measures store conversion as orders divided by sessions, as do most ecommerce benchmarks. Google Analytics 4 renamed conversions to "key events" and reports both a session key event rate and a user key event rate, which differ for the same site: a visitor with five sessions and one purchase counts as 20% by session and 100% by user. Neither is wrong, but you need to know which one a benchmark uses before comparing yourself to it.
The second slippery detail is the numerator: what counts as a conversion. For a store it is a purchase. For a lead-generation site it is a form fill or a call, a far smaller commitment, which is a big part of why lead-gen rates run higher. For paid ads, it is whatever the advertiser chose to track. Same word, different actions, different numbers.
Whenever you see a benchmark, ask: divided by what, and counting what?
Why every benchmark disagrees
The famous benchmarks contradict each other because they measure different pages performing different jobs, not because some of them are wrong. Put the three most-cited numbers side by side:
The Littledata figure measures whole stores: every session, including people comparing prices or checking shipping costs, against completed purchases, the biggest possible ask. The Unbounce figure measures dedicated campaign pages with one goal and one call to action, where much of the conversion work happened before the visitor arrived. The LocaliQ figure measures conversions per ad click, and a "conversion" there is often a phone call or a form fill rather than a sale.
Different denominator, different action, different traffic. Comparing your store's 2% to a landing page's 6.6% is comparing a marathon time to a sprint time.
Benchmarks by page type
Match your page to its own benchmark: a whole store against store data, a landing page against landing page data.
| Page type | Typical | Strong | Source and caveat |
|---|---|---|---|
| Whole ecommerce store | 1.4 to 1.6% per session | Above 3.2% (top 20%), above 4.7% (top 10%) | Littledata, 2,800 Shopify stores; Statista puts the global average at 1.6% |
| Dedicated landing page | 6.6% median | Roughly 10% and up (top quartile) | Unbounce 2024, 41,000 pages; single-goal campaign pages only |
| Google Ads, per click | 8.18% average | Varies, 2.55 to 14.67% by industry | LocaliQ 2026; counts advertiser-defined conversions, often leads |
| Email opt-in page | Around 10.8% average | Double digits is normal with list traffic | GetResponse, an older study; skewed high by warm traffic and a free ask |
| Webinar registration page | Around 23% average | Higher when promoted to your own list | GetResponse, same study and same caveats |
| Free trial to paid (SaaS) | 8% median | 10 to 15% is great | ChartMogul survey of about 200 products; small sample |
Two honest notes on that table. The GetResponse figures are the weakest entries: the study is older, and pages like these are usually fed by warm email traffic making a free, low-commitment decision, which inflates the averages. Treat them as directional. And there is no defensible public benchmark for long-form sales pages selling courses and digital products: the numbers floating around are vendor case studies, not benchmarks.
Notice what the table implies for anyone running a funnel: one business will have wildly different rates at every step. An opt-in page at 12%, a sales page at 2%, and a checkout at 40% can all be healthy at once, which is why a single blended "site conversion rate" hides more than it reveals. For worked examples, see our guide to landing page examples.
What moves a conversion rate
Six factors decide most of the gap between one page's rate and another's, and only some are under your control.
The pattern across all six: a conversion rate is a property of the whole situation, not just the page. The same sales page converts at a multiple of the rate when shown to the right people at the right moment. If your rate looks low, the page is only one suspect: how you drive traffic to your website and whether you build an email list first often matter more than the headline font.
When a high rate is a bad sign
A high conversion rate is not automatically good news: it can mean your traffic is too narrow, your price is too low, or your front door is filtering out future customers. The rate is a ratio, and you can win the ratio while losing the business.
Traffic too narrow to scale
Fifty hyper-qualified visitors converting at 20% is ten sales. The rate looks heroic, but there is nowhere to grow. WordStream founder Larry Kim has argued that obsessing over the rate instead of total conversions caps growth: a page that converts 5% of 10,000 visitors beats one that converts 15% of 1,000. If your rate is high and your volume is small, the next win is more traffic, even if it makes your dashboard percentage worse.
Price set too low
Cutting your price almost always raises your conversion rate, and it can shrink your revenue. A course priced at $49 might convert at 4% where the same course at $199 converts at 1.5%, and the second version earns more per visitor with fewer customers to support. If you judged only by the rate, you would pick the wrong price every time; revenue per visitor, covered below, catches this.
Friction doing the filtering
ChartMogul's survey of around 200 SaaS products found that free trials requiring a credit card convert to paid at roughly 30%, while the overall median for free-to-paid conversion is 8%. Card-required trials are not four times better at convincing people; they filter out everyone who was not already serious, so fewer people enter and a higher share pay. Any time a step's conversion rate looks spectacular, check whether the step is converting people or just excluding them earlier.
Three numbers worth distrusting
Some of the most-quoted conversion statistics on the internet are dated, mislabeled, or untraceable.
"The average landing page converts at 2.35%, the top 10% at 11.45%"
This is the most famous conversion statistic in marketing, and almost nobody quotes it correctly. It comes from a 2014 WordStream analysis, and it measured Google Ads account-level conversion rates, not landing pages and not websites. It is also twelve years old: LocaliQ, WordStream's parent company, puts the current Google Ads average at 8.18%, more than triple the 2014 figure. The page that hosts the original study now carries a recent "last updated" date, which keeps the old numbers looking fresh. One idea does survive: top performers converted at three to five times the median, by changing the offer and the flow rather than recoloring buttons. Keep the insight, retire the numbers.
"Companies spend $92 on traffic for every $1 on conversion"
Quoted everywhere, sourced nowhere. The trail dead-ends at a 2012 blog post sharing an infographic, without an underlying study or any stated methodology behind it. It may gesture at something true, since most businesses do underinvest in conversion, but as a statistic it is an illustration that got promoted to a fact. Make the argument without it.
"A good conversion rate is 2 to 5%"
This one is not so much false as empty. Without saying what kind of page, what traffic, and what action, the range is meaningless: 2% is respectable for a store converting cold traffic into purchases, bottom-quartile for a dedicated landing page, and dismal for an opt-in page in front of your own list. The real answer is always: for which page, counting what, fed by whom?
The benchmark that matters: your own
The most useful conversion benchmark is your own trailing baseline, because no industry table controls for your offer, your price, your audience, and your traffic mix all at once. Industry data tells you the neighborhood. Your baseline tells you whether you are improving.
Count more than the sale
Analytics author Avinash Kaushik made this point in 2009 with his distinction between macro and micro conversions: the purchase is the macro conversion, but opt-ins, add-to-carts, and video watches are micro conversions, and a site with a "2% conversion rate" may be delivering real value to a quarter of its visitors. If your sales page converts at 2% but your opt-in converts at 15%, most of your progress this month happened in the email list, and a purchase-only dashboard would call the month a failure.
Watch revenue per visitor
Revenue per visitor is conversion rate multiplied by average order value, and it catches what the rate alone misses. A 1% conversion rate on a $500 course is $5 per visitor. A 4% rate on a $27 ebook is about $1.08. The ebook page has the better rate; the course page has the better business, four times over. When you test prices, offers, or order bumps, judge the winner on revenue per visitor, not on the rate.
Respect the noise
At small traffic volumes, your conversion rate is mostly weather. On 500 visits a month, the gap between 12 and 15 conversions is the gap between 2.4% and 3%, and it can be pure chance. Judge your rate over rolling 30 to 90 day windows, on meaningful conversion counts, before declaring anything good or broken, and to prove a change caused an improvement, run a proper A/B test instead of eyeballing a week of data.
Common mistakes to avoid
Most conversion-rate anxiety comes from a handful of measurement errors.
Comparing across page types. Measuring your whole store against a landing page median, or your sales page against an opt-in page average. Match the benchmark to the page.
Ignoring the denominator. Sessions, visitors, and clicks give different rates for the same page. Know which one your analytics and your benchmark each use.
Chasing the rate instead of revenue. Underpricing and over-filtering both raise the percentage while shrinking the business. Judge revenue per visitor alongside it.
Judging on days, not weeks. At low traffic, daily conversion rates are noise. Use rolling 30 to 90 day windows and real conversion counts.
Trusting dated benchmarks. The famous 2.35% figure is from 2014 and measured ad accounts. Check the source, the year, and what was actually counted.
Fixing the wrong step. The page with the lowest rate is not always the biggest leak. An opt-in page at 10% may be losing you more money than a checkout at 40%. Find where the most value drops out.
Track your rates in systeme.io
See your conversion rate at every funnel step
systeme.io shows you these numbers where they actually live: per funnel step. Build your opt-in page, sales page, and checkout in one place, watch how each converts, and test your way to better rates, all on the free plan.
Knowing what a good rate looks like is half the job. Improving yours is the other half: that process is conversion rate optimization, and the fastest way to get more out of the traffic you already have.
Frequently asked questions
For a whole website measured per session, around 2 to 3% is a solid target for most online stores, and the real averages sit lower than people expect. Littledata's benchmark of 2,800 Shopify stores found an average of 1.4%, with the top 10% converting above 4.7%, and Statista puts the global ecommerce average at about 1.6%. Lead-generation sites usually run higher, because filling in a form is a smaller commitment than paying. Compare your rate against the same page type, traffic mix, and action.
It depends on what the 5% measures. For a whole ecommerce site converting sessions into purchases, 5% is exceptional, comfortably above the top 10% of Shopify stores in Littledata's benchmark. For a dedicated landing page it sits just below Unbounce's 6.6% median, so it is ordinary. For an email opt-in page receiving warm traffic from your own list, 5% would be weak, since those pages often convert in the double digits. Identify the page type, traffic source, and action before deciding whether to celebrate.
The median is 6.6%, according to Unbounce's Conversion Benchmark Report, which analyzed 41,000 landing pages and over 460 million visits, and industry medians range from 3.8% to 12.3%. Unbounce treats roughly 10% and above as a strong page, which lines up with its top quartile. These are dedicated, single-goal campaign pages, which is why the figure runs far above site-wide rates. Traffic source moves it a lot too: in the same dataset, email traffic converted at about 19%, far above paid search or social.
Littledata's benchmark of 2,800 Shopify stores gives the clearest percentile ladder: the average is 1.4%, the top 20% of stores convert above 3.2%, and the top 10% convert above 4.7%. So anything above 2% already beats the average, and above 3.2% puts you in the top fifth. Device matters: in the same dataset mobile converted at 1.2% against 1.9% on desktop. Industry matters even more, with IRP Commerce data showing categories ranging from under 0.5% to around 5%, so compare within your category where you can.
LocaliQ's 2026 search advertising benchmarks put the average Google Ads conversion rate at 8.18%, measured per click, with industry averages running from 2.55% in finance and insurance to 14.67% in automotive services. That counts whatever each advertiser defines as a conversion, often a call or form fill rather than a purchase, which is partly why it runs far above ecommerce purchase rates. Your cost per conversion is usually the more useful number, since a high rate on expensive clicks can still lose money while a modest rate on cheap clicks can be profitable.
Divide conversions by visits, then multiply by 100. If 1,000 sessions produce 25 sales, that is a 2.5% conversion rate. The detail that trips people up is the denominator: counting sessions gives a lower rate than counting unique visitors, because one person can visit several times. Google Analytics 4 now calls conversions key events and reports both a session key event rate and a user key event rate, and they differ for the same site. Either works, as long as you pick one, use it consistently, and check which one any benchmark uses.
A high rate is never bad in itself, but it can be a symptom of a problem. If traffic is tiny and hyper-qualified, a 20% rate on 50 visits is 10 sales and nowhere to grow. If your price is too low, a high rate can coexist with weak revenue, and raising the price often drops the rate while increasing profit. Friction works the same way: ChartMogul's survey found trials that require a credit card convert to paid at around 30% against a median of 8%, but far fewer people start them. Judge revenue and customer count alongside the rate.
The most common cause is a change in your traffic mix rather than a broken page. A new cold traffic source, a viral post, or a shift toward mobile visitors all lower the blended rate even when nothing on the site got worse, and at low traffic volumes a handful of conversions either way swings the percentage purely by chance. Before changing anything, segment the numbers by source, device, and page over a 30 to 90 day window, check for technical problems at the checkout or form, and compare like-for-like periods to rule out seasonality.