Travel, Tourism, Data Science and Consumer Research: Some of Our Clients and How We Can Help
The travel and retail tourism industries are growing. To keep up with demand, and remain competitive, companies need to process enormous data chunks, making good data science essential. Big data and the algorithms to process it are critical tools for travel retailers, transportation and air travel, hotels and accommodations, reservation and booking websites and many others in the industry in order to improve their services and capture revenue.
No other industry benefits more from personalized marketing and customer segmentation than the travel and tourism industry. That’s why it’s essential to collect behavioral and metadata on our customers. Data science opens the door to understanding CRM data, geolocation, social media data. Predictive analytics can process this data to determine the customer preferences today and in the future.
Travel and Tourism: Questions Data Science and Consumer Research Can Answer
Who is traveling where, when, and how? What destinations, what seasons, what tours, what cruise ships, and how are they getting where they want to go?
How can we predict future travel from cruise ship destinations to space travel? What destinations, products, and services should travel companies be investing in?
How much are travellers spending, where, when and with what retailers?
How can we reach a particular market segment?
When do we need to run promotions and when should we avoid them?
How are we performing in comparison to similar companies?
How can we use traveller profile information to prescribe travel and retail travel?
How do Millennials and non-Millennials travel retail compare in terms of what they buy, the brands that appeal to them and their profile?
How do Chinese compare to other travellers in terms of what they are willing to buy in airports from a fashion and accessories perspective and how it compares to what they buy and where they shop in travel destinations?