Why it isn't converting
High CTR but low conversion rate: check the gap
Your ad gets tapped, then almost nobody signs up. Mimiq sends simulated visitors from the same ad into your page and shows where each one leaves, with the screen they were on.
Why does a high click-through rate still give a low conversion rate?
A high click-through rate measures how well the ad earned a click, not whether the page delivered what the click expected. The usual gap is a page that loads too slowly for the phones most clicks come from, an offer the page does not repeat, or clicks that never became a page view at all. Check those three before you change the ad. Mimiq sends simulated visitors from the same ad copy into your page and shows the step where each one leaves.
What this looks like in a report
“I tapped to see what the app does. The screen is white with a spinner, and the video has not started. I will wait a few more seconds, then I am closing it.”
The fix. Move the hero video below the first screen, and show a still image with the headline and the button so they load first. Open the ad's link in the in-app browser on a phone before the ad goes live.
An illustration. Run a test to see your own.See a real sample report
The click is counted before the page has appeared
An ad platform counts a click when the ad is tapped, not when the page has finished loading. On a phone inside a social app, that tap opens an in-app browser that can take several seconds to draw a heavy landing page. A visitor who taps away during the wait is a click for the ad and a visit that never happened for your analytics. Some clicks are accidental, from a thumb that brushed the ad while scrolling. Each of these counts toward a high rate, so the rate can look healthy while the page never got a fair look.
- Clicks against page views: on the same days, how far apart are the two counts for this ad?
- First line of the ad and first line of the page: same product, same offer, same words?
- Load time on a phone, inside the in-app browser the ad opens in, not your desktop browser.
- Placements: which placements and devices bring clicks that leave before the first screen?
- Accidental taps: an ad placed where a thumb lands while scrolling earns clicks nobody meant.
Compare clicks with page views before touching the ad
Take the same ad and the same days, and put the ad platform's click count next to the page views in analytics. If the ad shows nine clicks and analytics shows four page views, five visitors never saw the page. The wrong move is to rewrite the ad, because the ad is doing its job and the page never got a chance to answer it. The right move is to fix what happens between the tap and the first paint: load time, the in-app browser, the banner that covers the screen. Only when the two counts match and visitors still leave at once is the ad the next suspect.
A curious ad attracts people who want the hook, not the product
Some ads earn clicks by withholding something. A line like the one thing nobody tells you about budgeting gets tapped by people who want the hook, and the page then shows a product that solves a different question. The click-through rate is high because the ad is curious, and the conversion rate is low because the visitor came for the curiosity. Read the ad as a stranger would. If the ad does not name the product and the next step, the clicks it earns are clicks from people who were never going to sign up. Name the product in the ad, and let the lower click rate be the one that buys you the right visitors.
The phone browser stops the sign-up after the page loads
The phone can still end the visit after the page loads. The person who tapped the ad is on a small screen, and a cookie banner that covers the sign-up button, a login wall in front of the first screen, or a field that brings up the wrong keyboard ends it. Compare conversions by device. If visits from phones load and leave at the same rate as desktop visits, but sign-ups come only from desktop, the mobile problem is after the first screen. Walk the sign-up on a phone yourself, starting from the ad's link, and note the first thing that blocks you.
Which check answers which question about the gap
| Check | What it shows | What it misses |
|---|---|---|
| Ad platform clicks | How often the ad was tapped | Whether the page ever loaded |
| Analytics page views | Visits that loaded the page | Why the visit ended |
| Session replay | What a real visitor did on the page | Whether the next visitor does the same |
| Simulated visitors | The step where each one stopped, with a screenshot | How many real visitors will sign up |
Use the first two checks to find the gap, and the last two to find the step that causes it.
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 creative can bring the same gap back
Each new creative changes what the clicks expect, and each new placement changes which phones tap it. Run the same visitors from the new ad through the page after each change, and check whether they reach the sign-up step. A paid run can also open a staging page behind a site password, so a landing page can be checked before the ad goes live.
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
Is a high click-through rate a good sign?
Only for the ad. A high rate says the ad was interesting enough to tap. It says nothing about whether the page works. Judge the ad by the clicks that become sign-ups, using the same date range in the ad account and your analytics.
Will a simulated run show my real conversion rate?
No. It does not predict how many real visitors will sign up, and it does not forecast a rate. It shows whether a simulated visitor from the same ad can get through the first screen and the sign-up, and where they stop if they cannot. Your rate comes from analytics on real traffic.
Should I change the ad or the page first?
Change the page when clicks and page views are far apart, because the visitor never saw what the ad promised. Change the ad when the page loads and the visitor leaves at once, because they saw the page and did not find the thing the ad described. The two counts tell you which one applies.
Do I need a separate test for each ad?
Yes, when the ads set different expectations. A visitor from a curiosity ad and a visitor from a product ad can land on the same page and leave for different reasons, so run each ad's link once and compare where each group stops.
Keep reading
Send visitors and see what breaks first.
Your first test is free: sign in with Google and it starts right away. Last checked 2026-11-02.