Walk the path the visitor walks
The scan follows the click through landing page, product page, cart, and checkout on desktop and mobile, and records where the journey actually breaks instead of inferring it from a bounce number.
The leak is between the click and the checkout. Scan your site free to see exactly where visitors give up, priced by the revenue at stake, with the fix written for review.
Analytics shows the drop-off. Mimetic shows the cause: the broken step, slow load, or trust gap between the click and the order, with the fix written for you.
After we fixed their checkout and cleaned up conversion tracking that was overcounting 10x, monthly purchases rose 48%.
The main content takes 10.7 seconds to appear on mobile. More than half of phone visitors give up after about 3 seconds, so most of the traffic you are paying for leaves before the page even loads.
If people keep arriving and not buying, something specific is stopping them, and it is almost never "bad traffic" alone. The usual suspects are mechanical: a page that loads too slowly on phones, a buy button that scrolls out of reach, shipping costs that ambush at the last step, a checkout that quietly fails on mobile, or tracking so broken that sales are happening and not being counted. Each one is findable. Guessing between them is how stores burn a quarter blaming ads for a site problem.
The scan follows the click through landing page, product page, cart, and checkout on desktop and mobile, and records where the journey actually breaks instead of inferring it from a bounce number.
Sometimes the sales exist and the tracking does not. Duplicate or missing purchase events make a working store look dead, so the scan verifies the measurement before blaming the funnel.
Each finding carries the sessions it touches and the revenue at stake. A slow product page and a mistrusted checkout badge are not the same size problem.
The common causes rank roughly: slow mobile loading (visitors leave before seeing anything), friction at the decision point (no express payment, buried buy button, surprise shipping costs), trust gaps (weak reviews, unclear returns, sketchy checkout), a technical failure on one step of the path, or a traffic-to-offer mismatch. A scan of the live journey tells you which of these is yours instead of leaving you to test guesses.
A broken checkout looks exactly like a bad ad day in your dashboards, which is why stores often optimize creative for weeks while the site drops buyers. The way to tell them apart is to audit the post-click path: if high-intent visitors reach the product page and die at the same step, the site is the problem, not the targeting.
Yes, and it is worth ruling out first. Purchase events that stopped firing, consent settings discarding conversions, and checkout domains that break tracking all make real sales invisible. Compare your platform order count against analytics before redesigning anything.
Funnel reports show which step loses people; they cannot show why. The why lives on the page: what renders, what covers the button, what fails on a phone. That is what the free scan inspects directly, and each finding comes with the fix written for your review.