Personalization

Capitalia · hostAI

Vendor-reportedTravel & hospitalityIn productionMid-marketNLP

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by gethostai.com (vendor self-report). Checked against the source page on 2026-09-05. 2 of 2 figures below appear on that page word for word.

The problem

Capitalia was sending generic quarterly newsletters to past guests, missing opportunities for direct bookings and stronger guest relationships due to lack of automation and personalization.

What was deployed

Vendor
hostAI
Products
hostMail
Technique
NLP
Build or buy
Bought off the shelf
Deployment
SaaS
Data used
guest history analysis, local event integration, historical patterns, specific guest experiences, anniversary dates, preferred amenities, upcoming events

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

$13,000+Direct Booking Revenue30 days

This strategic approach not only boosted direct booking revenue to over $13,000 from a single campaign but also drove consistent guest engagement while improving brand loyalty.

Quoted word for word from the source

44%Email Open Ratefrom 20%

The campaign achieved a 44% open rate compared to the industry average of 20%. Guests responded positively to emails that referenced their specific stays, with follow-up engagement showing genuine interest in rebooking.

Quoted word for word from the source

ROI as stated: providing definitive proof of email marketing ROI

Before we started using hostMail, our email marketing campaigns lacked true personalization and often felt generic to our audience. Since integrating hostMail, we’ve seen a significant boost in sales with almost no additional effort from our marketing team. The platform runs seamlessly in the background, intelligently triggering campaigns that feel personal and timely.
Carlos Cojab, CEO, Capitalia

Difficulties and limits

Sources

Similar deployments

Intuit

over 65 billion — Machine learning predictions generated

Independently reportedTechnology & software · Personalization · LLM · Scaled

Zalando

increased by 40% — basket sizes

Independently reportedRetail & e-commerce · Personalization · Classical ML · In production

Kingfisher Group

more than 10% — e-commerce sales originating from product recommendations

Independently reportedRetail & e-commerce · Personalization · Classical ML · Scaled · 2023

BABOR · Revieve

Vendor-reportedRetail & e-commerce · Personalization · Computer vision · Scaled

JCPenney · Revieve

Vendor-reportedRetail & e-commerce · Personalization · Computer vision · In production

Paula’s Choice Taiwan · Revieve

104% — achievement on new conversion target

Vendor-reportedRetail & e-commerce · Personalization · Computer vision · In production · 2024