Profitability in the travel industry requires deep understanding of visitation and mobility patterns. Travel destinations have peak and off-peak seasons, therefore to make the most profits, maintain continuity, reduce loss due to churn, and fulfil consumer needs, airlines, hotels, local businesses etc. need visibility into potential of business throughout the year.
Mobile location data can help these businesses understand who their customers are, where they come from, what type of activities they participate in a specific geographic region and more. By understanding how travelers interact with commercial environments around them business can measure the magnetism of places and improve business development, expansion, and customer experience.
Analyze movement patterns and unlock valuable insights on how people move around the physical world
The analysis of mobile location data over a period of time can help look into patterns of place use and the scale of people’s movement. These insights allow businesses to segment audience volumes and assess the origin of travelers to understand demand by area. Quadrant provides location data for companies to build robust geospatial and statistical analyses that help them identify their target audience and improve their services. The visitation and mobility analysis of tourist attractions can help businesses better target their advertisement efforts, expand presence to areas with high buyer potential, and perform competitor analysis.
Perform magnetism studies to assess people’s sentiments and interaction with specific places over time
Monitor mobility trends and patterns to learn who your potential buyers are, where they come from and what they like
Create USPs by creating tailored services like unique routes, modes of transport, lucrative packaged deals etc.
Study footfall and consumer movement in and around your outlets to identify their preferences, density, frequency etc.
Identify origin or travellers and competitor presence to inform business placement and expansion strategies
Build frequency simulation models to adjust pricing and create sustainable practices even during off peak seasons