The challenge of understanding guests

Every guest has a unique journey — from booking to check-in to post-stay feedback. Yet data often lives in siloed systems:

• Reservations and cancellations in booking platforms

• Loyalty activity in separate CRM

• On-property spend in POS systems

The lack of a unified view makes personalization and targeted engagement difficult.

How Mage changes it

Mage integrates data from multiple guest touchpoints into actionable workflows:

• Aggregate reservations, loyalty, and in-stay activity

• Normalize profiles and segment guests based on behavior

• Generate insights for personalized offers, upgrades, and communications

What this looks like in practice

• Marketing teams launch personalized campaigns targeting high-value repeat guests

• Front desk and concierge teams anticipate preferences to improve satisfaction

• Revenue managers correlate guest behavior with promotions and revenue outcomes

Outcomes

• Improved guest satisfaction and loyalty

• Data-informed personalization at scale

• Clearer understanding of what drives repeat bookings