Vacations are on the rise giving cause for optimism in the cruise world! One interesting trend is a spike in direct bookings with cruise operators and a considerable drop in booking through intermediaries and OTAs.
This shift in booking behavior gives cruise lines an unprecedented opportunity to use customer engagement models to identify and directly engage with the most likely cruise-goers. However, gaining potential vacationers’ attention is increasingly tricky between the dizzying array of touchpoints and channels.
So how can you, as a cruise operator, maximize booking directly and early?
Machine learning models hold the key. They use data acquired from external sources (third party, social media, travel groups, and forums) to enrich the customer profiles. Such a model gives a 360-degree view into customer choices and preferences, enabling marketers to segment users into appropriate categories and design personalized campaigns.
Such personalized campaigns deliver a superior customer experience and build strong loyalty. As a result, customers remain engaged and have a reason to keep coming back.
At the conference, thousands of cruise leaders and professionals from over 100 countries will meet and take stock of the state of the global cruise industry. They will discuss how best to shore up the industry’s resiliency as the world builds back from the challenges of the past two years.
Daitrix customer engagement models use more than 27 ways to enrich your data to make a unified view of the customer. Marketers can then design campaigns for delivering personalized content and well-targeted offers.
Our models have four key components: Acquire, Grow, Keep and Measure. These models identify your most valuable audiences and provide insights into what drives their behavior. Guided by these recommendations, marketers can acquire and expand the customer base. In addition, these insights help keep the customers engaged, strengthen their loyalty, and reduce the overall cost of acquisition.
A top 5 cruise operator planned to enter newer markets, increase booking conversion rates and secure a higher margin. Daitrix machine learning models applied intelligence to the client’s existing traditional multi-channel strategy. It resulted in a 63% growth in bookings through email campaigns, a 55% increase in website visits, and an 8% reduction in PG opt-outs.
Connect with us today to explore how you can harness our cutting-edge solutions to unlock your growth story!
