The Data Appeal Company with Visa to boost attractiveness of tourist destinations thanks to artificial intelligence

The Data Appeal Company has signed a strategic agreement with Visa, a digital payments global leader, to boost the attractiveness of tourist destinations through a structured and comparable analysis of visitor spending habits at major international destinations.

In additions, D/AI Destinations – The Data Appeal Company’s benchmark industry platform built to improve tourism promotion by optimizing investments and achieving marketing&management goals – from today integrates a new analytics feature: the Spending Module. This innovative tool can particularly facilitate Destination Management Organization (DMO) activities by returning a complete picture of the types of items visitors purchase at different times and seasons of the year.

Valeria Sandei, Chief Executive Officer of Almawave, highlighted: “This agreement is an additional key element to support destinations by more effectively understanding visitors’ needs and expectations and thus basing the region’s promotion strategy on increasingly effective data and criteria”.

Mirko Lalli, Chief Executive Officer and founder of The Data Appeal Company stated: “We are excited about this important agreement with Visa as it marks an important step in our mission to support destinations with data-driven solutions for sustainable and competitive growth. 

Stefano M. Stoppani, Country Manager Visa Italy, stated: “The collaboration with The Data Appeal Company will help guide the decision-making process of public and private tourism industry players with the support of aggregated visitor spending data. This targeted approach is also strategic ahead of major international events and helps to further develop a key sector for the economy.”

Mark Palmer, Vice President Europe Visa Government Solution, adds: “This partnership will enable Visa Government Solution, a division that specializes in providing solutions for governments, to support institutions in new areas of data analysis such as quantifying the impact of large-scale events, optimizing public transportation services, and analyzing both tourist locations and non-tourist urban areas”.