From Guesswork to Growth: Data Science & AI to Grow B2B Sales
Marketing to travel advisors is often where the easiest wins hide, yet most hotels still rely on manual spreadsheets, generic email, and sheer luck. The result? Missed opportunities with the very agents who shape perception, storytelling, and sales in luxury travel.
Inside the session
Using real examples from Advant's work with independent hotels and global brands, Matt and Pooja demonstrated how hotels can:
- Turn agent relationships into measurable growth systems
- Use off-the-shelf tools and AI automation to scale personalisation
- Build data-driven funnels that move agents from low awareness to high intent
Framed through the journey of a fictional luxury travel advisor, “Jessica,” the session unfolds classroom-style, showing how hotels can convert data, storytelling, and human touch into one seamless, high-performance sales journey.
Turn agent relationships into measurable growth systems.
The premise of the sessionYour takeaway
Modernising the trade funnel
From first awareness to loyalty, the simple structure every sales team can use.
Data that drives action
How to clean, segment, and activate agent databases for sharper targeting.
Automation with a human heart
How to personalise at scale without losing authenticity.
You're walking away with a ready-to-apply framework and access to a free diagnostic tool to jumpstart your own agent engagement strategy, whether you're working from a basic spreadsheet or a full CRM.
Get the full playbook, exclusively for R&C attendees
If the session sparked ideas or raised questions, we'd love to continue the conversation. This invitation is reserved for members of the Relais & Châteaux community who joined us in Boston: the full session playbook and slides, limited-time access to the live presentation, a complimentary enrichment and segmentation review of a sample of your advisor data, and direct access to Advant's strategy and AI team. Everything arrives in one concise, thoughtful follow-up that is useful rather than noisy. Request the playbook →