28
properties in live test
GBP 1,348.75
booking recovered with code
30 days
pilot length
The problem
Guests get close to booking, then leave.
By the time someone checks dates or reaches checkout, you already did the hard part. ApexAlpha helps you catch the guests who might still book.
Blanket discounts waste margin
Only offer a discount when the guest looks like they need one.
Reports arrive too late
ApexAlpha acts while the guest is still on your site.
Not all traffic is equal
See which channels bring real booking intent, not just visits.
How it works
Three steps. No rebuild.
Find where guests leave
Add one snippet and see where people move from property view to dates, checkout, and exit.
Give the right nudge
Show a discount, helpful message, or path back to checkout only when it makes sense.
Measure the result
Track bookings, booking value, discount cost, and extra revenue.
Early proof
Live test with a 28-property UK operator.
We have one clean booking proof point, one good signal, and clear data on where guests drop off. We are not inflating the claim.
View the field notesClean proof
GBP 1,348.75
A guest used a triggered APEX10 discount code and booked.
Good signal
GBP 1,750.34
A guest saw an availability message before booking.
Site leak
1,274 visitors
230 property opens, 135 date selections, 39 checkout visits, and 6 bookings.
"I built ApexAlpha because operators work hard to get guests onto their direct-booking site, then lose too many of them at the final step. That should be visible, measurable, and fixable."