Is your conversion rate a problem worth budget?

The decision in front of you is not whether your rate is good. It is whether the gap to a benchmark justifies spending on the website, and that depends on what you compare with. Three widely used benchmarks give three answers.

IRP Commerce reports a session conversion rate of 2.23% for August 2026 across the B2C online stores it tracks in Great Britain and Ireland, up from 1.85% in August 2025. It defines the rate as transactions divided by sessions. Ruler Analytics puts the average at 5.13% across 13 industries, where a conversion is “a qualified lead or sale”. Unbounce found a medianThe middle value of a set: half of the pages convert above it and half below. of 6.6% across more than 41,000 campaign landing pages in its 2024 report.

None of these numbers contradicts the others. A purchase is a larger commitment than a form fill. A whole website includes visitors who came to read one article, while a campaign landing page receives only people who clicked an ad or an email. A few very strong performers pull an average up, and a median is not affected by them.

What is being counted

Three benchmarks, three different actions

Each number is a published benchmark. They differ because each report counts a different action on a different kind of page.

2.23%

Sessions that end in a purchase

Whole website. B2C online stores, Great Britain and Ireland. IRP Commerce, August 2026.

5.13%

Sessions that become a qualified lead or a sale

Whole website, average of 13 industries. Ruler Analytics, May 2026.

6.6%

Landing page visitors who convert

Campaign landing pages only, median. Unbounce, 2024 report.

Before comparing your rate with any benchmark, check that it counts the same action on the same kind of page.

A benchmark tells you what is typical for other websites and their traffic, not what is wrong with yours. So the useful question is narrower: what do businesses like mine see, for the same event, from similar traffic? The next section answers that for each industry. The sections after it show how to check the comparison and how to answer the question with your own data.

Conversion rate benchmarks by industry in 2026

The broadest current dataset is the Ruler Analytics 2026 benchmark, published on 26 May 2026 and built on more than 110 million sessions and 5 million conversions in 13 industries. It counts a qualified lead or a sale on the whole website, from all traffic sources. Use the chart for orientation, then go to the table for your own conversion event.

Benchmarks by industry

Qualified lead or sale rate, 13 industries

Average share of sessions that became a qualified lead or a sale, whole website, all traffic sources combined. The all-industry average is 5.13%.

Automotive

7.9%

Legal

7.9%

Software

7.6%

Education

6.3%

Finance

6.3%

Marketing and advertising

6.2%

Professional services

6.1%

Construction and engineering

4.9%

Beauty and cosmetic

3.5%

Real estate

2.8%

Retail and e-commerce

2.4%

Health and social care

2.3%

Travel

1.9%

The five industries covered in this articleOther industries in the dataset

Source: Ruler Analytics, conversion rate benchmarks 2026, published 26 May 2026. More than 110 million sessions and 5 million conversions.

Industries that sell through a sales conversation, such as legal and software, sit at the top because the action counted is usually an enquiry. Industries where the conversion is a payment or a booking sit at the bottom. The order of the chart reflects the size of the commitment more than the quality of the websites.

The table below keeps each industry with its own event. Read across a row, never down the benchmark column: a purchase rate and a lead rate are not on the same scale, and a landing page median is not a whole-site average.

E-commerce: sessions that end in a purchase

The sources disagree even on the same event. IRP Commerce reports 2.23% for August 2026. Shopify, in a review dated 22 August 2026, cites Statista at 1.4% of global e-commerce visits in the first quarter of 2026 and Dynamic Yield at a global average of 2.66%. The Unbounce median of 4.2% is higher because it covers campaign landing pages only. The same Shopify review lists these purchase rates by store category:

The spread between categories is wider than the spread between sources. A jewelry store converting at 1% is above its category figure, and a pet care store at 3% is below. Low-rate categories usually carry high order values, which is why a store should be compared on revenue per visitorTotal revenue divided by total visits in the same period. It combines conversion rate and average order value. and not on conversion rate alone.

B2B SaaS: visitors who request a demo or start a trial

First Page Sage published funnel benchmarks on 11 June 2025 from more than 50 B2B SaaS clients, mostly in the $10 million to $100 million revenue range. It counts a lead as any non-spam visitor who submitted contact information, and the rate depends heavily on the channel:

The same report shows the trade-off between volume and deal size: companies selling to enterprises convert 0.7% of visitors into leads, and companies selling to small businesses convert 2.3%. The Ruler Analytics figure for software, 7.6%, is far higher because it comes from a different sample and counts phone calls as well as forms (11.4% of software conversions were calls). A SaaS website at 1% is not underperforming if those demos become qualified pipelineThe value of open sales opportunities that sales has accepted as real.. Trial-to-paid conversion is a separate measurement, covered in the free-to-paid conversion rate benchmarks for SaaS.

Travel, healthcare and education

We found no public 2025 or 2026 benchmark with a disclosed sample that isolates bookings, appointment requests or enrollments. The closest primary source is Ruler Analytics, which counts qualified leads and sales together for each industry, so treat these as orientation:

• Travel, 1.9%. The lowest of the 13 industries. A booking is a payment, usually made after several visits.
• Healthcare, 2.3%. In health and social care, 37.2% of conversions arrive as phone calls. A website that counts only online appointment forms will read lower than this benchmark for that reason alone.
• Education, 6.3%. 90.6% of conversions are forms. The counted action is mostly a first enquiry, which costs the visitor nothing. Enrollment happens later and is not what this figure measures.

How to read a benchmark: three things must match

A benchmark is comparable with your rate only when three things match: the conversion event, the channel mix and the device mix. Check them in that order, because each one can move the number by more than the gap you are trying to explain.

How to read a benchmark

A benchmark is comparable when three things match

Check the three in this order. If one does not match, the gap between your rate and the benchmark says nothing about your website yet.

1

Same conversion eventPurchase, demo or trial, booking, appointment, enquiry.

How far it moves the numberSoftware: 7.6% qualified lead or sale against 0.7% to 2.2% visitor to lead, depending on the source and the channel.

2

Same channel mixShare of search, email, direct and social traffic.

How far it moves the numberPaid search 5.4% against paid social 2.11% in the same dataset.

3

Same device mixShare of mobile and desktop sessions.

How far it moves the numberDesktop 3.4% against mobile 2% across all industries.

Figures: Ruler Analytics (May 2026), First Page Sage (June 2025), Contentsquare (March 2026).

How channel and device mix move the benchmark

Inside one dataset, the channel moves the rate by about 2.6 times, before any difference between websites. In the Ruler Analytics data, paid search converts at 5.4% and paid social at 2.11%. The gap between the highest and lowest industry is about 4.2 times (7.9% against 1.9%), but you cannot change your industry, and you can change your channel mix within a quarter.

Benchmarks by traffic source

Same websites, different channels

Average qualified lead or sale rate by traffic source, all 13 industries combined. Search, email, referral and direct traffic convert at more than twice the rate of social traffic.

AI referral

5.8%

Paid search

5.4%

Email

4.9%

Organic search

4.9%

Referral

4.8%

Direct

4.7%

Organic social

2.23%

Paid social

2.11%

Source: Ruler Analytics, conversion rate benchmarks 2026, published 26 May 2026. A website with a large share of social traffic sits below an industry average with nothing wrong on the page.

Channel and industry also interact. In the same dataset, paid search converts at 8.2% for software and at 2.1% for retail and e-commerce. Email converts at 7.6% in health and social care and at 0.6% in travel. A channel benchmark from another industry is as misleading as an industry benchmark for another event.

Device has a similar effect. Contentsquare, in its 2026 Digital Experience Benchmarks (9 March 2026, 99 billion sessions), reports 3.4% on desktop against 2% on mobile, and 2.9% for returning visitors against 1.7% for new ones. Unbounce found that 83% of landing page visits happened on mobile devices and that desktop converted 8% better. The device question has its own guide: why a conversion rate looks fine on desktop and poor on mobile.

The mix also changes over time. A campaign that doubles social traffic lowers the blended rate without any page getting worse, which is one of the checks in how to know whether a conversion drop is normal.

Why benchmarks mislead when they become targets

The problem with conversion rate benchmarks is not how they are calculated, but how they are used. In practice, benchmarks tend to become targets, even when no one explicitly says so. Teams start optimizing to reach the industry average instead of improving the economics of the business.

• Optimizing for the metric, not the outcome. Teams push for higher conversion rates by lowering friction indiscriminately, simplifying forms or broadening calls to action. The rate goes up and lead quality drops. Sales teams feel the impact long before dashboards reflect it.
• False underperformance. A company may sit below an industry benchmark while still outperforming peers in revenue or pipeline value. This is common in enterprise SaaS and high-ticket B2B, where fewer, better conversions matter more than volume.
• Distorted priorities. When teams focus on closing a perceived gap to an average, they often ignore higher-impact work at segment level or in later funnel stages.
• Timing. Benchmarks are backward-looking. They reflect what was common across many companies at a given moment, not what is effective for your audience now.

Rate against revenue

The higher purchase rate earns less

Two online stores receive the same 10,000 visits in a month. Store A converts twice as many of them. Store B earns 50% more revenue from the same traffic, because each order is worth three times as much.

Hypothetical example

Store A

3.0%purchase rate, above the benchmark

Orders300

Average order value$40

Revenue$12,000

$1.20revenue per visitor

Store B

1.5%purchase rate, below the benchmark

Orders150

Average order value$120

Revenue$18,000

$1.80revenue per visitor

Illustrative numbers, not customer data. For an online store, revenue per visitor is the figure to compare.

A benchmark tells you what is typical for other websites and their traffic, not what is wrong with yours.

The same logic applies to demos. A B2B SaaS website that halves its form fields may raise its demo request rate and send sales more requests that never qualify. For a store, the measure that settles the question is revenue per visitor. For a B2B SaaS website, it is qualified pipeline per visitor.

How to set your own baseline and decide

The benchmark that decides the budget is your own rate, for one conversion event, split by the segments that behave differently. It takes five steps and the analytics you already have.

1. Choose one primary conversion event and keep it fixed: purchase, demo or trial, booking, appointment or enquiry.
2. Pull sessions and conversions for the last 90 days, so that weekly swings and single campaigns do not distort the figure.
3. Split the rate by traffic source and by device. Add new against returning visitors if buying takes more than one visit.
4. Compare each segment with a benchmark for the same event and the same channel, using the tables above.
5. Add the value measure next to each rate: revenue per visitor for a store, qualified pipeline for a B2B SaaS website.

The example below is invented to show the method. The conversion event is a purchase.

Hypothetical example

Illustrative numbers, not customer data. 600 purchases / 40,000 sessions = 1.5%.

This store converts at 1.5% as a whole, which reads as weak against the e-commerce figures above. The split shows that visitors who arrive with buying intent convert at 2.5%, and that informational articles bring half of the sessions and one sixth of the purchases. The store does not have a conversion problem on its buying paths. It has a large audience that is not ready to buy, which calls for a softer next step on those pages, not a redesign.

The budget decision

Is a below-benchmark rate worth budget?

Three checks, in order. Each one either explains the gap or sends you to the next. Only the last outcome means the website itself is losing conversions.

1

Does the benchmark count the same event as you do?Purchase, demo or trial, booking, appointment, enquiry.

If notThe gap means nothing yet. Find a benchmark for your conversion event.

2

Is your channel and device mix similar to the benchmark sample?Share of search, social, mobile.

If notCompare channel by channel and device by device.

3

Are your high-intent visitors below range too?Paid search, returning visitors, pricing or product pages.

If notThe website converts buyers. The blended rate is diluted by early-stage traffic.

Stopped at check 1, 2 or 3No budget for the website yet. Fix the comparison or the traffic.

Yes to all threeThe website is losing buyers. This is where conversion work pays back.

Run the checks before you commit budget to redesigning pages.

Once the baseline exists, improvement is measured against it, not against the industry. The wider method is in the guide to conversion rate optimization.

A rate that looks average and still paid back

One customer result is not a benchmark, and it does not predict yours. Whatever you use to improve the rate, measure the lift against a control group on your own traffic, for your own conversion event.

Key takeaways

• A below-benchmark rate is worth budget only when the event, the channel mix and the device mix match, and high-intent visitors are still below range.
• Keep each industry with its own event: purchase, demo or trial, booking, appointment, enquiry or enrollment. Never average them together.
• E-commerce purchase rates in 2026 sources run from 1.4% to 2.66% for whole websites, with category figures from 0.63% to 5.7%.
• B2B SaaS visitor-to-lead rates run from 0.7% to 2.2% by channel (First Page Sage, June 2025). The 7.6% software figure counts qualified leads and sales, calls included.
• For travel (1.9%), healthcare (2.3%) and education (6.3%), the closest primary benchmark counts qualified leads and sales, not bookings, appointments or enrollments alone.
• Landing page medians (6.6% overall, Unbounce 2024) are not whole-site rates. Say which one you are quoting.
• Channel moves the rate by about 2.6 times inside one dataset: paid search 5.4%, paid social 2.11%.
• Judge a store on revenue per visitor and a B2B SaaS website on qualified pipeline, against your own 90-day baseline.

FAQs about conversion rates by industry