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
Telecom
Move more subscribers to the right plan, and up a tier, before they sign in.
Plan and device research happens anonymously, across weeks, and returning subscribers are ripe to move up the moment intent shows. Kahoona predicts, in the session, who is ready to upgrade, who takes the family bundle, and who needs a retention offer.
Proven with a major device retailer: +105% ROAS on high-intent retargeting and +18% lift in onsite conversion.
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 Family Plan Shopper
Comparing family bundles, checking child line limits, switching in a rush.
Without:
No account, no cart, no history.
Gets: a generic homepage and the same plan carousel as everyone else.
With Kahoona:
Show the right family bundle and promotions from the moment they return.
Lead with multi-line offer, child-line messaging, and easy switching guidance.
Without Kahoona
The Upgradable Intent Subscriber
A loyal subscriber looking to extend the current tier, visiting close to a churn threshold.
Without:
Looks like any other visitor. No churn signal is detected, no retention offer is triggered.
With Kahoona:
Lead with the next-tier value props, lock-in benefit, and a loyalty upgrade offer, before they hit the price-gap and move from it.
What Kahoona Generates For Every Actor
Six dimensions, built from behavior alone, before identity.
Identity
Who is this?
Anonymous across a net of networks, or a known subscriber; resolved without relying on logins.
Affinities
What do they want?
Family plan shopper, upgrade-intent subscriber, or a price-sensitive switcher.
Behavioral
How do they act?
Price, data, or loyalty led; how they signal, and whether they are in a rush or deliberating.
Intent
What are they doing?
Comparing, shortlisting, or ready to activate a new plan or device.
Journey
Where in the funnel?
First open, comparing options, shortlisting, or ready to activate.
Value
What is this actor worth?
Predicted plan value and ARPU, on budget. Concentrates on the session it is worth sending.
The Value
01
Move subscribers up a tier
Each upgrade intent is in the session and fleeting, firing ARPU before they start or cross a competitor.
02
Win the whole bundle, not just the SIM
Kahoona spots cross-service purchase patterns with the unlocked service. After the first SIM ARPU and TV bundle, the average CLTV can be faster than a single-line deal.
03
Spend only on likely plan buyers
High-intent plan buyers is Meta CAPS and Google in real time, and budget to higher ROAS. Lower cost per activation.
Fits what you already run.
For personalization, CDP, and paid media, pointed to Meta CAPS and Google in real time, with intent input to improve up in search keywords on a mobile something.
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
Telecom
Telecom
Move more subscribers to the right plan, and up a tier, before they sign in.
Plan and device research happens anonymously, across weeks, and returning subscribers are ripe to move up the moment intent shows. Kahoona predicts, in the session, who is ready to upgrade, who takes the bundle, and who is just browsing, so you can lead with the right tier and the right offer, long before they log in.
Proven with a major device retailer: +105% ROAS on high-intent retargeting and +18% lift in onsite conversion.
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 Family Plan Shopper
Comparing family bundles, checking child line limits, switching in a rush.
Without:
No account, no cart, no history.
Gets: a generic homepage and the same plan carousel as everyone else.
With Kahoona:
Show the right family bundle and promotions from the moment they return.
Lead with multi-line offer, child-line messaging, and easy switching guidance.
Without Kahoona
The Upgradable Intent Subscriber
A loyal subscriber looking to extend the current tier, visiting close to a churn threshold.
Without:
Looks like any other visitor. No churn signal is detected, no retention offer is triggered.
With Kahoona:
Lead with the next-tier value props, lock-in benefit, and a loyalty upgrade offer, before they hit the price-gap and move from it.
What Kahoona Generates For Every Actor
Six dimensions, built from behavior alone, before identity.
Identity
Who is this?
Anonymous across a net of networks, or a known subscriber; resolved without relying on logins.
Affinities
What do they want?
Family plan shopper, upgrade-intent subscriber, or a price-sensitive switcher.
Intent
What are they doing?
Comparing, shortlisting, or ready to activate a new plan or device.
Journey
Where in the funnel?
First open, comparing options, shortlisting, or ready to activate.
Behavioral
How do they act?
Price, data, or loyalty led; how they signal, and whether they are in a rush or deliberating.
Value
What is this actor worth?
Predicted plan value and ARPU, on budget. Concentrates on the session it is worth sending.
The Value
01
Move subscribers up a tier
Each upgrade intent is in the session and fleeting, firing ARPU before they start or cross a competitor.
02
Win the whole bundle, not just the SIM
Kahoona spots cross-service purchase patterns with the unlocked service. After the first SIM ARPU and TV bundle, the average CLTV can be faster than a single-line deal.
03
Spend only on likely plan buyers
High-intent plan buyers is Meta CAPS and Google in real time, and budget to higher ROAS. Lower cost per activation.
Fits what you already run.
For personalization, CDP, and paid media, pointed to Meta CAPS and Google in real time, with intent input to improve up in search keywords on a mobile something.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York