Editorial Board   Guest Author

Ms. Verrill

Ashley Verrill

Market Analyst, Software Advice

Ashley Verrill is a Market Analyst at Software Advice, a website dedicated to providing detailed reviews, comparisons and research to help organizations choose the right software. As an analyst on the marketing team, she publishes researches, blogs and reviews on new and emerging software. She focuses primarily on CRM, contact management software, customer service software, help desk software, social media applications, business telephony and hotel management software. She regularly interviews top thought leaders in the space, including R “Ray” Wang, Denis Pombriant, Brent Leary, Esteban Kolsky, Brian Vellmure and Paul Greenberg. Additionally, Ms. Verrill serves as the Managing Editor for the Customer Service Investigator, a blog dedicated to research and reports on customer support and customer experience strategy. There, she manages a network of guest contributors, along with posting her own material. Ms. Verrill is also a regular contributor to CIO.com and GigaOM, including a recent feature on the future of social customer service technology. Her work has been cited in myriad top-tier publications including Forbes, The New York Times, Yahoo! News, Business Insider and Inc. She has been participated in several notable speaking engagements, including a presentation at Hewlett Packard's 2013 Social Support Summit in Orlando, Fla. Previous to her current position, Ms. Verrill worked for five years as a Web Editor and Reporter for the Upstart Business Journal, the Austin Business Journal and the North Bay Business Journal. Her beats at that time included entrepreneurship, healthcare, hospitality, insurance, employment and nonprofit. She also spent time in sales management and advertising with an Austin-based startup. Ms. Verrill graduated from the University of Texas with a bachelor's degree in journalism.

Ms. Verrill can be contacted at 512-582-2314 or ashleyverrill@softwareadvice.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.