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Stop losing bookings before payment.
Expose where guests leave the search-to-pay journey, rank each drop by booking value, and prove what recovering it is worth.
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Where bookings actually
leak ?
The most expensive exits cluster before payment, after guests already chose dates, rooms, seats, and add-ons.
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Follow intent to confirmed booking
Optimize completed bookings and ancillary revenue—not search volume.
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Inspect the pre-payment failure
See mobile calendars, late fees, and card errors behind the 61% pre-pay drop.
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Rank by booking value
Prioritize the issue costing the most bookings and ancillary revenue now.
What good looks like in travel
Gains concentrate at date selection or payment—travel teams see 12% more completed bookings on the flows they fix first.
Higher booking completion where Lift AI ranks first, with ancillary revenue captured alongside it.
Remove the friction that causes guests to abandon at payment and add-on selection.
Priorities that survive a seasonal traffic swing, because recommendations re-score against current data.
Where Travel & Hospitality teams use FullSession
Give digital, revenue, and guest-experience teams one view of the path from search to confirmed booking.
Search & dates
See calendar, inventory, and mobile-selection friction at the start of intent.
Room or seat
Find selection confusion before guests invest in traveler details.
Add-ons
Quantify the ancillary value lost when fees or options appear unexpectedly.
Payment
Reproduce card and validation failures at the most expensive step.
How FullSession finds and fixes booking friction
Lift AI combines replay, heatmaps, funnels, errors, and performance across the search-to-pay path.
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."
12x
5x
Safe for traveler and
payment journeys.
Passport, ID, payment, and personal details are blocked before capture while access and deployment controls remain reviewable.
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 for every view, export, and access event.
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 them by explaining the completion numbers they report and ranking what to fix.
No. Those fields are masked at capture.
Yes, web, mobile web, and native iOS and Android via the Mobile SDKs (https://www.fullsession.io/mobile-session-replay/).
Yes. Recommendations re-score against current session data, so priorities move as demand shifts.
Replay and heatmaps populate on day one.
Recover the bookings you lose in the last three steps.
Rank booking friction by revenue impact, fix it, and validate the lift through seasonality.
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212 E Stone Path St Derby, KS 67037 Phone: +1 415-649-4222
All systems operational.