Why it isn't converting
Landing page conversion rate: split it first
A sign-up rate looks low or high depending on who clicked. Mimiq sends simulated visitors from each kind of source to the same page and shows where each one leaves, so you know what a weak rate is made of.
Is my landing page conversion rate normal?
No single normal rate exists for a landing page, because the rate depends on who arrives, what the ad or link promised and what the form asks for. A cold social audience and a list of existing customers can produce very different rates on the same page, so compare each source with itself over the same dates. A rate that is low for one source can be normal for that source and still lose visitors at a step you can fix. A simulated test sends visitors from each source through the page and shows the step where each one leaves.
What this looks like in a report
“The headline says Work smarter with one hub, which could be anything. I wanted proposal templates. The form wants my company size and phone number first. I'm going back to the results.”
The fix. Use the ad's words in the headline, such as Proposal templates for freelance designers. Ask for an email address only, and move company size and phone number to the step after sign-up.
An illustration. Run a test to see your own.See a real sample report
The blended rate averages visitors who were never the same
A landing page usually gets visitors from several places in one week: a search, a newsletter, a paid ad and a friend's link. The sign-up rate for the whole page averages them. The newsletter reader who already knows the product signs up at once, the paid visitor from a broad ad may leave at the headline, and the friend's link may land without any context. The blended rate looks like one problem, so owners rewrite the page for everyone. Split the rate by source first. One source may be fine and another the problem, and a change that helps one can hurt the other.
- Sign-up rate by source, for the same dates, with the source named in each row
- Sign-up rate by device: is the phone rate far below the desktop rate on the same page?
- The first line of the page against the ad or link text the visitor clicked
- The form: how many fields appear above the main button on a phone?
- The button label: does it name what the visitor gets, or only say Submit or Continue?
Compare each source only with its own earlier weeks
Read the rate one source at a time. Pull the sign-up rate for each source for the last several weeks, and mark the week of each change to the ad, the headline or the form. A source that held steady while another fell points to its traffic, not the page. A source that fell in the same week as a page change points to the page. New ad groups and placements start a new baseline, so do not compare them with the old rate.
What the first screen promises, and what the form asks next
The visitor decides in a few seconds whether the page matches the click. Put the ad headline or the link text beside the first line of the page, on a phone. If the words describe a different product, a different customer or a different offer, the visitor is in the wrong place, and a better form will not catch them. Then look at the form. A form that asks for a company size, a phone number and a role before the visitor has seen the product asks for more than a casual click agreed to give.
Sending each source through the page shows where its visitors leave
A simulated visitor can be given the arrival of one source, such as a search for a specific phrase or the text of a paid ad, and sent through the page to the sign-up. The run shows whether the visitor saw the offer they were promised, which field or button they stopped at, and what they thought while they were there. Run each source separately, then compare the stop points. If search visitors reach the form and social visitors stop at the headline, the two sources need different first screens, not one better page.
What you get with Mimiq
- 01
Run it by hand, or on every pull request
Paste a link and a task in the app and watch the visitors work. Or run them on every preview deploy: the GitHub Action comments on the pull request, any other CI can call the MCP endpoint, and your coding agent can run it too.
- 02
Bugs and usability problems in one report
The browser records errors and failed or slow requests on the step they happened. The visitors say where the wording or the steps confused them, and where they left.
- 03
Visitors that behave like your audience
Each visitor is a different profile with a reason to be there, matched to who the page is for, described by you, or built from your own customers.
- 04
A prompt to fix each problem
Every problem comes with a fix to paste into Cursor, Claude Code, Lovable or any coding agent, and one prompt hands over the top problems at once. Then send the same visitors through again.
- 05
Follow every visitor
See each visitor's whole path, step by step with screenshots, and what it was thinking at every step. Ask any visitor a question.
The browser records relevant JavaScript errors and failed or slow app requests encountered during the run, attached to the step where they occurred. The visitors are simulated: they find problems, they do not predict how many real people will convert.
A new ad or audience can bring back a rate that looks broken
A new ad group, a new audience or a different placement sets a new baseline, and an old rate can drop with no page change at all. Run each source through the page again after every change to the ad or the headline. Test a sign-up that sits behind a login with a test account, so the steps after the form are checked as well. Give each new audience its own run before you judge the page by its rate.
Starter
Try it on one launch
About 4 tests of 5 visitors
- Visitors on your landing page, signup and checkout
- Where they left and why, with a fix to copy for each problem
- Run it in the app or on every pull request
- Ask any visitor a question, included
- Test accounts and protected previews
Builder
Test every build
About 20 tests of 5 visitors
- Everything in Starter
- Credits refill each month, and what is left rolls over once
- Cancel anytime
Pro
Test every release, as a team
About 60 tests of 5 visitors
- Everything in Starter
- Credits refill each month, and what is left rolls over once
- Cancel anytime
Scale
Test at scale, every day
About 240 tests of 5 visitors
- Everything in Starter
- Credits refill each month, and what is left rolls over once
- Priority support
- Cancel anytime
Questions
What sign-up rate should a landing page reach?
There is no fixed figure to aim for, because the offer, the traffic and the length of the form each change the result. Compare each source with its own earlier periods, then with other pages on your own site that ask for a similar step. Mimiq does not give a target rate and does not predict how many visitors will sign up.
Can a simulated visitor tell me whether my rate is normal?
No. It can show where a visitor who arrives from a source leaves the page, which is one cause of a low rate. A normal rate is a comparison with your own history and your own traffic, and a simulated run cannot supply that comparison.
Should I send all traffic to one landing page?
Often a page for each ad group is easier to match to the click than one page for every source, because its headline can repeat the ad's own words. If you can, test both: point one source at the shared page and another at its own page, then compare the stop points. Keep the page that lets each source see its own promise on the first screen.
What can't the test tell me about the rate?
It cannot tell you how many real visitors would sign up, or whether an ad's audience is the right one to buy. It cannot read your analytics or ad account. It shows the step where a visitor stops and why, with a screenshot, and that is the start of a fix, not the rate.
Keep reading
Send visitors and see what breaks first.
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