Editorial Board   

Mr. Gambhir

Ashish Gambhir

Co-founder , newBrandAnalytics

Ashish Gambhir is Co-founder of newBrandAnalytics, the industry's only social business intelligence platform proven to help operating and marketing executives turn real-time social customer insights into actionable information. Harvesting a depth and breadth of customer feedback unmatched by other platforms, newBrandAnalytics solutions deliver the tools, research and analysis required to distill a real-time, 360 degree view of social guest satisfaction data. His company is helping leading hotel executives generate the social business intelligence to improve guest satisfaction, increase guest count and drive revenues. Prior to co-founding newBrandAnalytics, Mr. Gambhir was a leader and top performer at Deloitte Consulting in the Strategy & Operations practice where he focused on new media projects. Post Deloitte, he incubated the social business intelligence idea with his hospitality and business intelligence co-founders while earning his Master of Business Administration at the Johnson School at Cornell University, where he also collaborated with several leaders from the School of Hospitality. newBrandAnalytics is the leading provider of social business intelligence solutions. It's flagship offering, Social Guest Satisfaction, is the first solution that mines credible guest feedback from social media and synthesizes it into the richest customer insight to equip brands, regions, and units with the actionable insight needed to improve guest satisfaction and loyalty, increase revenue, and drive sustainable bottom-line results. Social Guest Satisfaction was built directly with leading hospitality companies. Hundreds of customer satisfaction-focused hotels, restaurants, and other hospitality organizations rely on newBrandAnalytics for the comprehensive intelligence needed to drive guest count, improve customer experience, and increase revenue.

Mr. Gambhir can be contacted at ashish@newbrandanalytics.com

Coming up in October 2020...

Revenue Management: Maximizing Profit

Hotel Revenue Management continues to evolve at a blistering pace. Driven by technological innovation and new distribution channels, there are some dynamic opportunities for expansion in this fast-growing field. The technology is primarily designed to help revenue managers further refine their operations and pricing models to maximize hotel profit. For example, hotels can't be all things to all people, so a key strategy is to precisely identify their target audience. By employing geo-targeting techniques and analyzing behavior such as previous bookings, on-property purchases and online shopping practices, there is an increased capability to define guest demographics. By segmenting customers in more specific ways, hotels are able to create more personalized experiences which, in turn, allow managers to optimize their room rates. It is also an effective way to fulfill the unique needs and preferences of the individual. Another methodology is to consistently monitor the competition's pricing strategies. There are software tools that analyze a competitor's current rates, and then allow a hotel to make its own pricing adjustments. It is also a useful means to conduct forecasting models. Other technologies that are being integrated into a revenue manager's toolkit include Artificial Intelligence in the form of automated algorithms, and Voice Recognition (VR) for data inquiries, rate changes, and booking behavior. Predictive and analytic software programs are also being leveraged to provide more forward-looking data, instead of the usual reliance on historical performance. These metrics allow managers to be more proactive - rather than reactive - with their revenue strategy. The October issue of the Hotel Business Review will examine these developments and report on how some leading hotels are executing their revenue management strategies.