Employee & Traveler Engagement

      Travel communications were fragmented, manually triggered, and generic — batch emails to broad populations that ignored itinerary context, behavior patterns, or sustainability signals. The program had no mechanism to deliver the right message at the right moment to the right traveler at scale. 

Architected and operated a large-scale automated communications system integrating Salesforce Marketing Cloud with Synapse and Power Automate. Built trigger-based journeys using itinerary data, booking behavior, HR data, policy status, and sustainability signals — covering new employee onboarding, sustainability nudges, unused ticket reminders, pre-trip personalization, health and safety advisories, targeted manager messaging, and more.

Designed a centralized traveler data model unifying itinerary data, booking behavior, app engagement, helpdesk tickets, and survey responses into a single profile — the AI-ready foundation for lifecycle-based engagement. 

Designed a migration to D365 Customer Insights with AI-assisted audience selection.

• Right-message / right-time communications delivered at scale across the traveler lifecycle
• Anomaly detection logic preventing duplicate sends, targeting errors, and data hygiene failures
• Centralized traveler profile serving as AI-ready foundation for future personalization
• Feedback from employee surveys were consolidated and transformed into unified metrics and KPIs
• Employee satisfaction stats increased and maintained at high approval levels; employees felt heard and engaged.

      Travel programs spend millions on supplier negotiations and policy design — then communicate those programs through quarterly all-hands emails or website postings. Automated, behavior-triggered communications are how you close the loop: turning data signals into behavior change, and behavior change into measurable program performance. A centralized traveler profile is a strategic asset, not just a CRM record.