By Industry
One foundational layer that serves as an AI model factory, customized for each industry and vertical.
About 86% of sessions never produce an identity, and less than 1% are ever truly understood. Kahoona generates context from Digital Body Language, before identity, for every actor, human or agent, so each industry gets a model tuned to how it actually buys.
Fintech
Analytics
+12%
Revenue
$12.4M
Quote Abandoner
Travel
Aviation
Oct 12
JFK
→
LAX
Book Now
Retail
E-commerce
2
Wireless Headphones
$49.99
Add to Cart
High-Intent Buyer
Last-Minute Booker
PERFORMANCE
+124%
Conversion Lift
MODEL V.2.4
Intent Segmentation
Real-time predictive scoring
AI
ML
The Blind Spot, In Every Industry
More Investment. More infrastructure. But the intelligence gap is widening.
The web ran on persistent identifiers: cookies, device IDs, logins. Privacy pulled that foundation out, and nothing replaced it. Sessions are under 60 seconds and shrinking, and AI agents multiply anonymous traffic at machine speed. More money and more tools, but the gap between the content you need and the context you have keeps widening.
Contextless before Kahoona
Context-rich with Kahoona
Brand & Retail
Travel
Financial
Telecom
Travel & Hospitality
Read the trip before the booking.
Most of a trip is decided across long, anonymous research, comparing dates, hotel types, and packages, long before anyone creates an account. Kahoona reads whether a traveler is a ready-to-book planner or still dreaming, and tunes the experience accordingly.
Kahoona identifies traveler intent and bundle preference before any login, driving direct bookings and reducing OTA dependency
Before and After
Each persona, side by side: what your stack sees without Kahoona, and what it can pin on with it.
Without Kahoona
The Bundle Comparer
A family comparing half-board vs. room-only for flexible dates, cross-tab.
Without:
No cart, no login, no booking history.
Gets: the same homepage banner, generic best-seller rooms, no bundle guidance.
With Kahoona:
A family researcher: flexible dates, comparing packages.
Surface the right package and a bottom-line direct booking nudge.
Without Kahoona
The Daytripper
A solo traveler on local deals, day activities, always exits before login.
Without:
Same homepage, with no fixed dates, still exploring destinations, not ready.
With Kahoona:
Inspire and delight: don't force a discount on someone still dreaming.
What Kahoona Generates For Every Actor
Six dimensions, built from behavior alone, before identity.
Identity
Who is this?
Anonymous, probabilistic, or returning loyalty guest.
Affinities
What do they want?
Inspiration, comparison, or ready to book.
Behavioral
How do they act?
Deal-first, experience-driven, or loyalty-driven.
Intent
What are they doing?
Dreaming, planning, or booking now.
Journey
Where in the funnel?
Dreamer, bundle-comparer, last-minute booker, or repeat guest.
Value
What is this actor worth?
Predicted trip value and propensity, so offers reach the travelers worth courting.
The Value
01
Research mode or decision mode
Know which anonymous travelers are price-comparing vs. already sold, and spend accordingly.
02
Know the bundle before they book
Half board or room only, date or property flexibility. Serve the right package before they go back to an OTA.
03
Sell the booking before the OTA closes
Personalize your booking engine and display to reach your direct channel first, before they land on third-party pages.
Fits what you already run.
Fits your booking engine, PMS and loyalty, media, and marketing. Kahoona gives every tool the same traveler profile, so they act on one truth instead of guessing.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York
By Industry
One foundational layer that serves as an AI model factory, customized for each industry and vertical.
About 86% of sessions never produce an identity, and less than 1% are ever truly understood. Kahoona generates context from Digital Body Language, before identity, for every actor, human or agent, so each industry gets a model tuned to how it actually buys.
Fintech
Analytics
+12%
Revenue
$12.4M
Quote Abandoner
Travel
Aviation
Oct 12
JFK
→
LAX
Book Now
Retail
E-commerce
2
Wireless Headphones
$49.99
Add to Cart
High-Intent Buyer
Last-Minute Booker
PERFORMANCE
+124%
Conversion Lift
MODEL V.2.4
Intent Segmentation
Real-time predictive scoring
AI
ML
The Blind Spot, In Every Industry
More Investment. More infrastructure. But the intelligence gap is widening.
The web ran on persistent identifiers: cookies, device IDs, logins. Privacy pulled that foundation out, and nothing replaced it. Sessions are under 60 seconds and shrinking, and AI agents multiply anonymous traffic at machine speed. More money and more tools, but the gap between the content you need and the context you have keeps widening.
Contextless before Kahoona
Context-rich with Kahoona
Travel & Hospitality
Travel & Hospitality
Read the trip before the booking.
Most of a trip is decided across long, anonymous research, comparing dates, hotel types, and packages, long before anyone creates an account. Kahoona reads whether a traveler is a ready-to-book planner, and what they're weighing - half-board bundle, a suite, or flexible rate - so you can surface the right package and win the booking direct.
Kahoona identifies traveler intent and bundle preference before any login, driving direct bookings and reducing OTA dependency
Before and After
Each persona, side by side: what your stack sees without Kahoona, and what it can pin on with it.
Without Kahoona
The Bundle Comparer
A family comparing half-board vs. room-only for flexible dates, cross-tab.
Without:
No cart, no login, no booking history.
Gets: the same homepage banner, generic best-seller rooms, no bundle guidance.
With Kahoona:
A family researcher: flexible dates, comparing packages.
Surface the right package and a bottom-line direct booking nudge.
Without Kahoona
The Daytripper
A solo traveler on local deals, day activities, always exits before login.
Without:
Same homepage, with no fixed dates, still exploring destinations, not ready.
With Kahoona:
Inspire and delight: don't force a discount on someone still dreaming.
What Kahoona Generates For Every Actor
Six dimensions, built from behavior alone, before identity.
Identity
Who is this?
Anonymous, probabilistic, or returning loyalty guest.
Intent
What are they doing?
Dreaming, planning, or booking now.
Affinities
What do they fancy?
Inspiration, comparison, or ready to book.
Journey
Where in the funnel?
Dreamer, bundle-comparer, last-minute booker, or repeat guest.
Behavioral
How do they act?
Deal-first, experience-driven, or loyalty-driven.
Value
What is this actor worth?
Predicted trip value and propensity, so offers reach the travelers worth courting.
The Value
01
Research mode or decision mode
Know which anonymous travelers are price-comparing vs. already sold, and spend accordingly.
02
Know the bundle before they book
Half board or room only, date or property flexibility. Serve the right package before they go back to an OTA.
03
Sell the booking before the OTA closes
Personalize your booking engine and display to reach your direct channel first, before they land on third-party pages.
Fits what you already run.
Fits your booking engine, PMS and loyalty, media, and marketing. Kahoona gives every tool the same traveler profile, so they act on one truth instead of guessing.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York