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Recover the revenue leaking from cart and checkout.
See where shoppers hesitate, rage-click, or abandon—and rank every checkout issue by the revenue you can recover.
Where checkout revenue actually leaks ?
Aggregate conversion shows the exit—not the step, device, product category, cause, or recoverable value.
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Locate the leaking segment
Pinpoint the step, device, and product category losing the most revenue.
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Open the actual failure
See payment errors, promo rejection, size-selector rage clicks, and shipping surprises.
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Rank work by recovered revenue
Prioritize by high-intent sessions and business value instead of the loudest opinion.
What good looks like for retail conversion
Gains concentrate at the costliest checkout steps—retail teams see 23% higher conversion on the flows they fix first.
Higher checkout completion on the step Lift AI ranks first, with the revenue recovered quantified.
Remove recurring failures that drive support contacts across payment, promo, and shipping steps.
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Prioritization that ends the debate: the roadmap is ordered by recovered revenue, not by who argued hardest.
Where Retail teams use FullSession
Give merchandising, growth, and CX teams one revenue-ranked view of the purchase journey.
Product discovery
See which categories, devices, and selectors prevent intent from becoming a cart.
Cart
Find promo, quantity, and shipping friction behind high-intent exits.
Checkout & payment
Reproduce payment and validation errors at the exact step they happen.
Shipping & promotions
Quantify late fees, rejected codes, and mobile friction by recoverable revenue.
How FullSession finds and fixes
retail friction
Lift AI combines replay, heatmaps, funnels, errors, and performance across the purchase journey.
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 for payment and customer journeys.
Sensitive shopper data is blocked before capture while access, audits, retention, and residency remain under your control.
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.
Use RBAC, SSO/SAML, and live audit logs to control every sensitive session action.
Enterprise-ready security reviews, uptime SLAs, and independently verified safeguards. Data is hosted in the US, with European residency available on request.
Multiple Integrations built in the platform because we want no resitance in your workflow
Frequently Asked Questions.
No. It complements GA4 and your platform's reporting by explaining the numbers those tools report, then ranking what to fix by recovered revenue.
No. Those fields are masked at capture, before any data reaches us.
Replay and heatmaps populate on day one. Ranked Lift AI recommendations follow as funnel data accumulates.
Yes. Recommendations are re-scored against current session data, so priorities move as traffic and behavior shift.
Yes, through the MCP server (https://www.fullsession.io/product/mcp-server/), in Claude or Cursor.
See where checkout revenue is going, and prove what recovering it is worth.
Rank checkout friction by recoverable revenue, ship the fix, and validate the lift.
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