Shoppers add to cart, then leave
A funnel shows the step where carts are abandoned, and recordings show what happened just before.
See funnelsSee where shoppers drop off between the product page and payment, watch the visits behind the numbers, and test the fix before you roll it out.
Cuttl helps online stores find where shoppers give up and why. Funnels show which step between product page and payment loses the most people. Recordings and heatmaps show what went wrong on that step. Then you A/B test a fix and measure it in orders, revenue per visitor and average order value.
Most stores lose sales to the same few problems, and each one shows up in the data.
A funnel shows the step where carts are abandoned, and recordings show what happened just before.
See funnelsSee the field people hesitate on or quit at. Typed values are never recorded.
See form analyticsRage clicks, dead clicks and errors, ranked by how many shoppers they affect.
See issuesFilter heatmaps and recordings by device to see what mobile shoppers miss.
See heatmapsScroll maps show whether people reach the price, reviews and delivery details.
What is a heatmap?Core Web Vitals from real shoppers, next to the pages they leave.
See site health
Build a funnel from product page to order confirmation. Funnels run on data you already have, so a new funnel shows past visits too.
Recordings replay real visits with idle time skipped. The timeline marks rage clicks, errors and the moment someone converts or leaves.
Turn the problem you found into an A/B test, with the evidence attached. Change text, layout, images and buttons in the visual editor, or use your own CSS and JavaScript.
Roll a clear winner out to everyone with a small holdout. Cuttl keeps watching the original issue, marks it fixed once the clean visits can’t be chance, and reopens it if the problem comes back.
Bots out of your numbersBot and AI-agent traffic is kept apart from real shoppers in reports.Paste one script into your store’s page head, or add it through Google Tag Manager.
Mark add-to-cart, checkout started and order placed as goals, then build a funnel from them.
Open the step that loses the most shoppers and watch the recordings behind it.
Draft an A/B test from that issue and measure it in orders and revenue per visitor.
Checkout optimization means finding and removing whatever stops shoppers from finishing a purchase, such as surprise delivery costs, long forms or broken buttons. Funnels, recordings and form analytics show which of those problems your own store has.
The cause differs by store. Common ones are costs that appear late, forced account creation, a form field that rejects valid input, or a payment step that fails on phones. A checkout funnel with recordings of the people who left shows which one applies to you.
Yes. Cuttl groups URLs by template, so all product pages can be read as one heatmap, and you can still open a single product page on its own.
You can test any page where the Cuttl snippet runs, using the visual editor or your own code. Some platforms host the checkout on their own pages and limit which scripts can run there; in that case, test the steps before it, such as the cart and delivery information.
Orders and other goals, revenue per visitor, average order value and profit per visitor, plus clicks, form submits, bounce and scroll depth. Guardrails can alert you or turn off a variant that hurts a key metric.
No. Form inputs are masked by default, so typed values are never recorded, and Cuttl doesn’t store IP addresses. It also respects your consent settings before recording.
Heatmaps, recordings and funnels work at any traffic level. If an A/B test would take too long, the pre-test planner tells you, and Change Impact can compare before and after instead.
Comparing tools? See Cuttl vs Contentsquare and Cuttl vs Microsoft Clarity.
Add one script to your store and your first funnels, heatmaps and recordings start filling in from the next visit.