Before you launch or pay for traffic
Landing page optimization checklist: start here
Edits to a live page tend to land in one afternoon, with no record of where visitors stopped before them. This checklist puts the record first, then the order of the fixes.
How do you optimize a live landing page without guessing?
Optimize a live landing page by recording where visitors stop before you change anything, fixing the stop that blocks the rest of the path first, and making one change per run. Each run sends the same first-time visitors through the path again, so you can see whether the stop moved. Without that record, the next edit is a guess, and a good change can be reverted along with a bad one. A simulated test gives you the record: the step where each visitor stopped, with a screenshot of that step.
What this looks like in a report
“I want a quote for weekly beans, but the form asks for my tax number before it tells me any price range. Is this a supplier or a sales trap? I will try the next one on the list.”
The fix. Move the price range above the request form, and make the tax number optional with a line that says why it is asked. Change only that field this round, then run the same visitors again.
An illustration. Run a test to see your own.See a real sample report
Several edits in one week and no way to say which worked
Optimizing a live page usually means a burst of edits. Someone rewrites the headline, moves the form, changes the button color and swaps a photo, all in one afternoon. If results move the next week, nobody can say which edit caused it, and the one that helped can be reverted along with the one that hurt. A checklist asking for one change per run solves this, but only if each change is paired with a record of where visitors stopped before it. Without that record, the owner remembers the page as it was on the day they liked it.
- A baseline run exists before the first edit, with the stopping step and a screenshot.
- Stops are ranked from the top of the path down, so the first screen is fixed first.
- Each run changes one thing, and the log names that change in a few words.
- Tracking that reads a button's label or position still fires after the change.
- Each fix is followed by a full run from the first screen, not only the step changed.
Record where visitors stop before you edit anything
Before any change, run a set of first-time visitors through the path and write down the step where each one stopped, with a screenshot of that step. Three lines per visitor are enough: the step, the reason the visitor gave, and what the screen showed. This is the baseline. A baseline that only says three of five left is useless, because you cannot tell which step they left at, or why. Keep the screenshots, since your memory of the page will drift within a day. The baseline is also what you compare against after the edit, so write it before the first change, not after.
Fix the stop that blocks the next step first
Order the stops by how far each one cuts the path. A stop on the first screen cuts everything after it, so it comes before a stop near the bottom of the page. A wrong order is to polish the headline while the form rejects valid postal codes. A right order is to fix the form first, because every visitor who meets the form is lost before the headline matters. Work from the top of the path down, and stop when the next stop is one you cannot fix this week. Then write down what is left, so the list survives the week.
Change one thing per run, and name it
A run is one change, followed by the same visitors through the same path. Name the change in your log in a few words, such as moved price range above form. Do not bundle a button label with a new photo, because a visitor who now gets further will not tell you which change did it. If the change is a label or a position, check that any tracking event that reads the old label still fires. Analytics that counted a click on the old button can go quiet after a rename, and a quiet count looks like a drop in visitors.
What a run cannot settle about revenue
A run tells you whether a visitor got further on the path. It does not tell you whether the page sells more, whether a change lifted anything in real traffic, or whether a difference of a few visitors is noise. For those, use a live experiment or your analytics once real visitors arrive. Use the runs to find the stop, fix it, and confirm the stop moved. Then move to the next stop on the list.
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 design refresh next quarter can bring back a fixed stop
A log of fixes is only useful if the next redesign reads it. A new template, a new form tool or a seasonal banner can bring back a stop you already fixed. Run the same visitors through the path after each of those, and compare each stop with your log. Each preview copy can be run against the same log before the link goes to the team.
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
How many visitors should a run include?
Enough to show a pattern, which is usually more than one. A single visitor shows one stop and cannot say whether it is common. The report ranks problems by how many visitors hit them, so several first-time visitors show which stops repeat. Read the ranking before you decide.
Should I optimize for the signup or for the purchase?
Pick the step the page exists for, and check the path up to it. A landing page that sends visitors to a pricing page should be checked as far as the pricing page, and the pricing page gets its own run. Mixing the two makes the log hard to read.
What does an optimization run not show?
It does not show which change will raise sales, and the test does not predict conversion. A run shows where a visitor stopped and why. Rates come from your analytics once real visitors arrive, or from a live experiment.
What if a fix breaks something further along?
Run the same visitors through the full path after each fix, not only the step you changed. A fix on the form can move the button, and the report shows the new stop with a screenshot.
Keep reading
Send visitors and see what breaks first.
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