Why it isn't converting
Why is my bounce rate so high: check the count
Most visits end after one page, and the number will not move until you know what it counts. Mimiq sends simulated visitors to that page and shows where they stop.
Why is my bounce rate so high?
A high bounce rate usually means the count is wrong or the first page gives visitors no next step. A bounce is a visit your analytics records as one page with no engaged action, so check how your tool defines it, and whether a link to another domain ends visits early. Then find the step where visitors stop, which the number alone cannot show you. Mimiq sends simulated visitors to the same page and reports where each one left and why, so you know where to look first.
What this looks like in a report
“I wanted to see how this tracks invoices. There is a menu, a cookie box and a video I did not ask for. I cannot find where to start, so I am going back to the results.”
The fix. Put one button labeled Track my first invoice in the first screen. On phones, move the cookie banner to the bottom and load the video after the headline is visible.
An illustration. Run a test to see your own.See a real sample report
Your analytics counts a bounce by its own rules
A bounce is not a visitor who hated the page. In Google Analytics 4, a session counts as engaged when it has a second page view, triggers a key event such as a sign-up, or lasts long enough to register engaged time. Every other session is a bounce. So someone who reads your only page for a minute and closes the tab counts as a bounce. So does a visit that ends on a payment or booking page on another domain, because the visit on your site ended there and a new session started on theirs.
- Your bounce definition: does a long read with no click count as engaged in your tool?
- Links to other domains: payment, booking or help pages that end the visit on your site.
- Tags that wait for a cookie banner, so a fast visit ends before its page view is recorded.
- The first screen: is there one clear next step, or only a header menu and a footer?
- Phones: a banner, pop-up or slow hero image covering the first screen before anyone reads it.
Check the count before you touch the page
Open the report that shows bounce rate for your landing page, and read it next to the engagement rate for the same page. A high bounce rate with short visits points at the first screen or a page that loaded slowly. A high bounce rate where a few visits run long usually means some visitors read while most left at once, so compare the traffic sources, not the average. Next, confirm the tag fires on a real visit. Load your page in a private window with the real-time view open and watch for your own visit. If it never appears, the number is wrong before the page is.
Handoffs to another domain end visits early
Payment pages, booking widgets and help desks often sit on their own domain. A visitor who follows a link there leaves your site, and the analytics tool starts a new session on the other domain unless cross-domain tracking is set up. The visit on your side then shows one page and no event, which counts as a bounce. The purchase may happen later on the other domain, but the first visit still shows as a bounce. Look at the bounce rate on the pages that send people out. A page with a high bounce rate and a link to another domain usually points at the handoff, not at the content.
A read and leave visit has no next step
Some visitors read the first screen and still leave. The screen has a headline, a paragraph and a header menu, but no button that starts the thing they searched for, so nothing gets clicked. List everything a stranger could click on that screen. If the only action is a header link that says About, the visitor has nowhere to go. A simulated visitor with the same search in mind reads the same screen and reports whether it found a next step, and which one. The fix is a single action above the first scroll, labeled with what happens after the click.
Phones lose visitors behind banners and slow heroes
On a phone, the first screen is most of the page the visitor sees. A cookie banner, a newsletter pop-up or an autoplaying video can cover the headline and the main button before anyone reads a word. A large hero image on a slow mobile connection leaves a blank area first, and some visitors leave in that gap. Test the page on your own phone over mobile data, not on office Wi-Fi. Mimiq's browser records relevant JavaScript errors and failed or slow app requests on the step where they happen, so a visitor who gave up on a blank hero shows up next to the request that stalled.
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 booking widget on another domain brings the bounce back
Each new tool that sends people to another domain can change the count without the page changing, so check the bounce rate again after every one. Rerun the same simulated visitors after each fix to the first screen, to see whether the next step is clearer. Run the handoff through to the payment step too, since a link that breaks there never shows up in the landing page numbers.
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 bounce rate is normal?
There is no single normal number. A blog post and a checkout page have different jobs, so compare each page with its own past numbers and its own traffic source. A simulated test cannot give you the right number, and it does not predict how many real visitors will stay. It shows where simulated visitors stopped on the page you sent them to, and why.
Does Mimiq read my analytics to find the bounce?
No. Mimiq does not connect to your analytics, so it cannot confirm your bounce rate or explain a change in it. It sends simulated visitors through the page in a real browser and reports the step each one left, the reason, and any errors or slow requests on that step. Use it to find what the first screen lacks, then check the number in your own tool.
Will simulated visits show up in my analytics?
They might. Simulated visitors load your page in a real browser, so any analytics tag on the page can fire for them. Look for a short spike in visits on the day of a test, and leave that day out before you read the bounce rate. Compare the real visits from the same sources on the days before and after the change.
Should I fix the headline or the count first?
Fix the count first. A page can look broken in your tool because the tool is wrong, and then you spend a week rewriting a headline that was never the problem. Once the count matches what visitors do, compare the landing page bounce rate with its engaged time and its next click.
Keep reading
Send visitors and see what breaks first.
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