Landing page conversion rate: what an average is worth in 2026

6.6%: that is the median conversion rate of a landing page, across all industries (Unbounce, 2025). It is a median, not an average, calculated on the visitors of pages designed to obtain an action: it places your page, it does not set it a target.

This page is for the executive or marketing director who wants to place the average conversion rate of a landing page. It gives the published benchmarks with what each one measures, then the conditions without which comparing yourself with them means nothing. The shared references (denominator, history, profitability) are set out in the guide to a good conversion rate.

The published benchmarks, and what each one covers

The scope is part of the data: each row of the table divides by a different base, which the third column spells out.

These rows are not compared with each other: the first is a median of landing pages, the second a ceiling on an average of content pages, the last three set conversions against paid clicks. The detail of each record is given in our digital marketing statistics, our content marketing statistics and our SEA statistics.

The first row is the broadest benchmark. It is a median, the value that separates the lower half from the upper half of the pages observed, recorded on pages designed to obtain an action. What it allows is clear:

• it places you: a campaign page far below it and a page far above it are not on the same side of the population observed;
• it does not cap you: a median is not a maximum, and half the pages in the record do better;
• it does not set a target: copying it out as a target would be the symmetrical mistake to reading it as a limit.

The second row is narrower, and it is better used for what it is than stretched beyond its reach. Three qualifications are part of the data:

• its scope: landing pages in content marketing, not B2B, B2C or "all sectors combined";
• its action: most often a download or a registration, not a contact request;
• its form: a ceiling, not a point value, which turns neither into "about" nor into "around".

These benchmarks share one quality: each says what it bears on. They nevertheless come last, after your history and your segments, as an order of magnitude and never as a target.

What an average landing page conversion rate adds together

An average of landing pages only makes sense if it compares like with like, and the expected action can take many forms. In e-commerce, it is naturally associated with a sale; depending on your business and its objectives, it can also be:

• a quote request;
• signing up to a newsletter;
• downloading a white paper or another document;
• an engagement on one of the brand's social networks;
• obtaining an e-mail address or fuller contact details.

Only the action tied to revenue (an order, a qualified contact request) goes into your rate; a download or a registration is tracked separately. That is where the misunderstanding about published averages lies.

Between the first and the last item on that list, what is asked of the visitor bears no comparison. The table below gives three examples:

An average that mixes those pages describes none of them. The level of commitment the offer implies weighs just as heavily: a white paper page and an annual subscription page can ask for the same form and have nothing comparable about them, because what follows the form differs completely.

Three variables of the offer move the rate far more surely than the quality of the page:

• the price of what is offered;
• the length of commitment asked for;
• the number of people who will have to approve the decision.

Hence an observation that the reader in a hurry takes for a contradiction between sources: two averages of landing pages, both seriously calculated, can differ threefold without either being wrong. They have not aggregated the same pages. Before looking for the right average, you have to know what you want to compare.

The five conditions for a comparison to hold

Comparing your rate with an outside benchmark only makes sense on five conditions, and they are checked before quoting any figure in a meeting. Three are about measurement: the same calculation base (sessions), an identical period and a conversion defined strictly, for example a validated form submission or a confirmed purchase. The last two are about the thing measured: the same acquisition channel and the same level of commitment asked of the visitor.

These conditions are almost never met by an average found online, which most often documents none of them. Inside your own scope, on the other hand, they can be met from one page to another, provided the rules are written down once and for all: that is why the most solid benchmark remains an internal one.

The following table details each condition, what it guarantees and where to check it:

The calculation base: sessions, and sticking to it

The reference rate of the cluster sets conversions against sessions, like the GA4 session conversion rate. Setting conversions against unique visitors gives a higher result, since a visitor who returns three times counts three times in the denominator in the first case and once in the second. On a campaign landing page, the gap is anything but trivial.

Once the base is set, three rules protect it:

• write the choice down where the next team will find it;
• open a new series if the base or the tagging changes, without recalculating the old one;
• read any published average with its denominator, and treat as barely comparable one that does not say what it divides by.

The page-by-page calculation, the reading window and the levers that move the rate belong to reading the conversion rate of a landing page, which details those settings.

What counts as a conversion, and what does not

The strict definition keeps an event you can verify has taken place: a validated form submission, a confirmed purchase. It excludes intermediate signals, which prove nothing and which some tagging setups nevertheless count as conversions:

• a click on a button;
• the opening of a field;
• a scroll down to the form.

The effect of a loose definition is mechanical and considerable. It shows up in three ways:

• the rate displayed rises without a single extra request having come in;
• the gap with any outside average becomes unreadable;
• the rate decouples from the pipeline, and you present a rising curve to a steering committee while the number of meetings stays flat.

Count the intermediate signals if you find them useful, but count them separately, never inside the rate you compare.

Building your own benchmark

The best benchmark remains your own progress: your history at constant definition first, your segments next (channel, device, page type), published benchmarks last. The rule is simple to state; it rests on four parameters:

• the cohort: the group of pages a page compares itself with;
• the depth of history: the period over which the benchmark is calculated;
• volume: the number of conversions that makes a gap readable;
• breaks: the events that make two periods incomparable.

The cohort first. An internal benchmark is not built on the average of all your pages, but on a group of pages that ask for the same thing: same expected action, same level of commitment, same family of offer. Five download pages form a cohort; four download pages and one quote page do not. It is that group which provides the value a new page compares itself with on the day it launches.

The depth of history next. A permanent page is read over a history of at least 12 months, one seasonal cycle, on a rolling month-by-month basis. A campaign page is read over the length of the campaign and compared with the previous campaign, not with the calendar month. In both cases the reference period is set once and is not chosen after the fact according to the result you hope to show.

Volume next, the parameter most often absent from discussions. The threshold from which a rate becomes readable is counted in conversions, not in visits: the lower the rate, the more traffic is needed to tell a real gap from a fluctuation. Treat as not worth commenting on any gap that two or three conversions would be enough to erase. The decision window is therefore set by conversion volume, not by the calendar, a rule detailed with conversion rate optimisation.

Breaks, finally. Three events are enough to make two periods incomparable, and they are noted as they happen, never reconstructed after the fact:

• a change of campaign or of targeting, which changes the audience received;
• a change of conversion definition or of tagging, which changes what is counted and opens a new series;
• a redesign of the page, which changes the object measured.

A dated log of those breaks will tell you, faced with a gap, whether it comes from the page or from something else. If the figure you measure yourself against aggregates all your entry pages, it is no longer the same object, and the approach carries over to the average website conversion rate.

What the traffic source does to the average

The median in the table adds together channels that have nothing comparable about them. Each one brings a visitor at a different stage:

• SEA can convert very strongly on "bottom of funnel" queries;
• e-mail often performs thanks to an already engaged audience;
• SEO is more variable depending on search intent.

The essential thing is to segment your analyses by channel, and by campaign, rather than comparing an overall rate with an "all traffic combined" average landing page conversion rate.

An "all traffic" average therefore moves when the distribution of channels moves, without the page having changed by a single line. Three common situations produce this effect:

• a paid campaign stopping at the end of the quarter;
• an article starting to rank and sending broader traffic;
• an e-mail follow-up to a loyal base.

In all three cases the rate displayed shifts, and none of the three causes is fixed in the page.

A recent channel adds itself to that list: visits referred by generative answer engines. These visitors have a distinct profile:

• more precise intent;
• comparison already done;
• an expectation of confirmation rather than of discovery;
• a need for reassurance and proof of value, where SEA traffic responds to urgency and promotion.

This observation calls for one precaution in reading, and only one: a page whose share of traffic referred by generative engines changes will see its rate move without having been touched. If you do not track that channel separately, you will credit your editorial work with a variation that owes it nothing.

The sector: what it explains, and what it does not

Each sector shows very different performance, and a rate that would be very strong in one branch can be disappointing in another, for three reasons:

• the average price of what is sold, which makes the decision one taken by several people and over time;
• the length of the sales cycle, which determines how many visits come before a conversion;
• the nature of the entry action, a quote not being comparable with an online registration.

Two landing pages in the same sector nevertheless differ more by what they ask for, the traffic they receive and the conversion they count: a sector benchmark places a company, it does not judge a page. The record branch by branch, with what each value measures, is to be found with the conversion rate by business sector.

Continue reading

Depending on the question you still have after this record, here is the article to read next:

• You want to know when to look at your rate: the reading cadence, weekly for alerts, monthly for decisions and quarterly for trends, is set with the conversion rate KPI.
• Your own figure is not yet reliable: produce it in sessions, with strict key events, using the conversion rate in Google Analytics.
• Your landing pages mainly receive organic or AI traffic: what those visits convert, and how to measure it, is covered with SEO conversion.

To build your benchmark instead of borrowing one, the Incremys reporting module segments the conversion rate of your landing pages by traffic source, including the AI channel.

Frequently asked questions

What is a good conversion rate for a landing page?

The median conversion rate of a landing page is 6.6%, across all industries (Unbounce, 2025), set against the visitors of the page. That median places a page without setting a target: half the pages do better. A good rate is one that makes your acquisition cost compatible with your margin per conversion and that improves against your own history.

What is the average conversion rate of a landing page?

Less than 10% for landing pages in content marketing (SEO.com, 2025): it is the published average closest to the question, and it is a ceiling, not a point value. It covers pages whose expected action is often a download. The broadest benchmark available is a median, not an average.

What is a good average conversion rate for a B2B landing page?

In SEA on Google Search, the conversion rate of the B2B sector is 2.41% (WordStream, 2025), set against paid clicks. That benchmark only holds for that channel. A B2B landing page is judged above all by its offer (demo, trial, audit, white paper), the level of commitment asked for and the traffic source, against its own progress with comparable traffic and intent.

Which elements make the average conversion rate of a landing page vary most?

Four elements explain most of the gaps: the conversion action chosen, the level of commitment the offer implies, the traffic source and the calculation base. A download and a purchase do not compare, and a campaign visitor does not arrive at the same stage as an organic reader. The sector adds a price and sales-cycle effect, without being enough to judge a page.

Which traffic source converts best on a landing page?

No channel converts best in absolute terms: the ranking depends on the intent behind the click. SEA can convert very strongly on bottom-of-funnel queries, e-mail benefits from an already engaged audience, SEO varies with intent. So segment by channel and by campaign instead of comparing an overall rate with an all-traffic average.

From how many visits is my conversion rate readable?

The threshold is counted in conversions, not in visits. The uncertainty of a rate comes from the number of conversions it rests on, so a page with a low rate requires far more traffic than a page with a high rate for the same reliability. If two or three conversions more or less would erase the gap observed, lengthen the window before concluding.

How do you build your own conversion rate benchmark for your landing pages?

An internal benchmark is built on a cohort of pages that ask for the same action, with the same level of commitment. It is calculated over a history of at least 12 months for a permanent page, or on the previous campaign for a campaign page. A dated log of changes in targeting, tagging and page then tells you where each gap comes from.