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Find the revenue leaking from your checkout, and prove what recovering it is worth.
See where shoppers abandon, rank each failure by revenue at risk, predict the lift, and prove what the fix recovered.
Why shoppers abandon checkout ?
A conversion report shows the leak, but not the payment error, rejected promo code, or slow shipping estimate costing revenue inside it.
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Name the leaking step
Map cart, shipping, payment, and confirmation across devices and traffic sources.
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Open the real failure
Replay errors, repeated input, rage clicks, and slow steps standard analytics cannot explain.
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Rank recovery by revenue
Connect high-intent sessions to revenue at risk so the first fix already has a business case.
Turn checkout drop-off into
completed orders
FullSession combines funnels, replay, heatmaps, form analytics, and error context so you can ship changes that turn more carts into completed orders.
Define your checkout steps—from cart to shipping, payment, and confirmation—and track conversion and drop-off at each step, across devices and traffic sources.
Click into any step to watch session replays, see errors, and spot UX friction like hesitations, repeated inputs, and rage clicks that standard analytics can’t explain.
Use behavior and error data to decide what to fix first, then measure how changes affect checkout conversion and revenue—not just click-through rates.
Fix the checkout problems that hurt you most
Recover carts by fixing proven friction, ranking the queue by money, and closing every release with a measured result.
Remove the friction causing exits
Fix surprise costs, silent validation, broken fields, and poor mobile UX instead of redesigning the wrong page.
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Decide what to build in minutes
Order the queue by recovered revenue so prioritization stops being an argument.
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Give the business a number
Attach a predicted figure before ship and a measured one after it.
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Estimate recoverable revenue
Put cart volume and average order value in, and get the recoverable-revenue range out.
How FullSession recovers checkout revenue.
Turn the leaking step into a ranked business case, predicted lift, and measured recovery.
Teams use FullSession to turn behavior into proven outcomes.
"FullSession shows us exactly where users get stuck without digging through hours of recordings. It’s where we start when we know there’s something wrong and needs fixed. It was easy to launch and the FullSession team is super responsive and helpful."
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Safe to record checkout and payment pages
Card and payment fields are masked or blocked at capture, in the shopper's browser, so they never reach us, and PCI is supported for payment flows.
Mask fields, elements, or entire pages at capture, so sensitive data never reaches FullSession. Add playback masking and honor user consent or opt-out preferences.
Block card data in-browser; use RBAC, SSO/SAML, audit logs, retention controls, PCI, GDPR, CCPA, US hosting and EU residency on request.
Enterprise-ready security reviews, uptime SLAs, and independently verified safeguards. Data is hosted in the US, with European residency available on request.
Frequently Asked Questions.
Finding and removing the friction that makes shoppers abandon cart and payment, then confirming the change recovered revenue. FullSession does the finding, the ranking, and the proving in one platform.
Watch real checkout sessions, read heatmaps on cart and payment pages, and build the checkout funnel to isolate the leaking step, then open the sessions behind it.
Yes. Lift AI ranks every checkout issue by revenue impact and attaches a predicted lift and confidence score before you commit engineering time.
Yes. Card and payment fields are masked at capture and never reach us. PCI is supported.
Analytics shows that checkout converts poorly. FullSession shows why, ranks the fixes by recoverable revenue, and measures the actual lift after you ship.
Most teams open the sessions behind a ranked recommendation in the first week.
Stop losing carts you already earned.
Find where Checkout and PLG users hesitate, quantify the loss, and prove the lift after each fix.
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