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Duetto Unveils GameChanger Application for Casino Hotels

Wednesday April 16th, 2014 - 9:48AM

LAS VEGAS—Duetto has launched GameChanger, a new web-based application developed exclusively for casino hotels.

According to the company, GameChanger ensures casino hotels select and retain their most profitable customers, accounting for dynamic demand, occupancy and segment volumes, assessed by each individual customer segment, room type, offer or discount.

Marco Benvenuti, Duetto’s co-founder and chief analytics and product officer, stated, “This technology really is a GameChanger—it delivers the tools I always dreamt of when I was managing revenue and distribution on the Las Vegas Strip. Duetto’s modern architecture provides a whole new level of flexibility and control to optimize profit that cannot be matched by traditional revenue management systems.” 

GameChanger is already in use at a number of high profile casino hotel properties, and the company expects rapid adoption to continue in the coming weeks.

Benevenuti concluded, “We see enormous potential in every aspect of pricing at casino hotels and integrated resorts. For example, complimentary rooms. Legacy systems follow a simplistic comp or no comp criteria. Isn’t it better to offer a valued guest who would not otherwise qualify for a free night, a discounted room or some other incentive instead of nothing at all? Casino hotels are also failing to leverage the value of various room types. The goal is to always get the right guests in the right rooms at the right times, maximizing all potential revenue. GameChanger empowers its users to achieve all this, and more.”

Taking a cue from the explosion of non-gaming spend, which is outpacing gaming revenue on the Las Vegas Strip, GameChanger determines the total value of each casino hotel guest by prospective gaming and non-gaming revenue potential. 

In addition to optimizing revenue and helping hotels protect and manage room mix, GameChanger is designed to capture valuable web shopping data. Looking at lost business regrets and denials based on dates searched and price quoted gives immediate insights on customer behavior, enabling real time responses and A/B scenario testing to measure price elasticity, according to the company.