If there’s one area where hotels are saturated with choice and saddled with decisions, it is in hotel technology. In-room-, wearable-, mobile-, legacy-, cloud-, admin-, PMS-, CRM-, app-, voice-technology. Within each category, a growing number of options leaves many hotel executives spending more and more time trying to find solutions that will generate revenue and improve guest service. As we all know all too well, not all products are created equally. Most tech companies make their solution sound perfect when, in reality, sometimes those solutions do too much and sometimes they do too little, while only occasionally are they just right. So for every technology need, having essential best practices at your fingertips is a good starting point for making a decision that will have a substantial impact on operations. Here’s how to think about upselling as you consider whether or not a tech solution is right for your property.
Some properties still view upselling through a traditional lens—using the same well-worn tactics that have been around for, well, forever. The “would you like to add fries to your order?” approach. Static offers based on static rates possibly with some incentives for the front desk and a bit of training on how to “sell without selling.” But upselling has evolved, namely in technology. With millions of data points put through data models, machine learning technology can show a front desk agent what a guest is most likely to upgrade to and at what rate. And not just any guest, but this particular guest standing in front of your agent at this particular moment.
The right ML-driven upselling technology will present offers and gather data across the guest pathway, coherently engaging the guest throughout the reservation lifecycle and beyond with a consistent, intelligent offer set. Guests receive tailored, targeted offers at booking and based on the way the guest responds to those, the technology will present different opportunities at each step thereafter. This means that when the guest arrives, the front desk has access to what offers this guest has already seen and can tailor his conversation with the guest as well as avoid redundancy.
As the front desk upsell technology gathers data about specific guests, it gets even better at creating upgrade opportunities that guests can’t resist. The ones they’ll see as a great enhancement to their stay at a rate that feels too good to pass up—and a rate that still generates revenue on your perishable inventory. It’s this great enhancement to their stay that is key. This is how upselling evolves from an ask to an opportunity, bringing the guest into the fold, considering their preferences, and giving them access to something they didn’t have before at a rate that doesn’t feel out of line.
Hotels have long been led to believe that the key to upselling lies in training the front desk properly, but upselling becomes far more effective when we shift the focus to giving the right guest the right offer—something that your staff can’t calculate. Front desk training in the absence of the machine learning-powered upselling technology means the front desk is still doing a lot of guesswork when the offers could be served up giving them more time to focus on guest satisfaction. Even better, their efforts at upselling with be more productive, which increases guest satisfaction.
This is where intelligence comes in. With 150 million unique buyer records and the ability to immediately incorporate data about a new guest, machine learning-powered upselling technology understands the probability that a guest will purchase a particular upgrade or ancillary offer. Further, technology that offers optimized pricing and merchandising simultaneously with real-time decisioning generates offers that vary throughout the guest lifecycle (i.e., guests don’t receive the same offer at booking and then again at check-in; the system learns and adjusts the offers for each guest.)
Not every hotel technology offers ROI, even the ones that are requisite. In the article, “Deciphering ROI from tech investment can be complicated,” Maria D’Alessandro, senior vice president and CFO of Hospitality Ventures Management Group, notes that back-of-house technology ROI is frequently measured via both tangible and intangible benefits (HotelManagement). The right machine learning-powered upselling tool identifies how to generate revenue on perishable inventory, and the return can also be understood as intangible ROI (better guest service and reviews). In terms of tangible ROI, metrics such as these are useful in evaluating upselling technology.
- The average increase in consumer demand at the time of booking
- The average increase in the reservation shopping cart
- The average nightly upgrade amount on the day before, day of arrival, or at check-in
Even better, the technology goes far beyond the booking and the front desk. It creates offers at multiple points after booking and beyond the front desk, including the pre-arrival period, during the stay, and at checkout. Now we’re talking about a platform, one that can manage all those points to generate revenue and help the guest customize their stay.
Industry analysts note that the typical hotel can run on up to 15 different technology systems. But finding the right solutions has become a hotelier’s nightmare, and frequently hotels default to the provider that offers the most features instead of the one technology that provides the right answer. Or, alternatively, hotels avoid a technology solution altogether, because it feels less complicated than, say, a front desk training service. But looking at upselling technology through the lens of guest engagement, intelligence, and ROI illuminates the clear value of upselling with an offer-first approach, one that will have multiple rewards and make the front desk—and the digital journey—far more profitable.
About Jason G. Bryant, Nor1 Founder and CEO
With Jason at the helm, Nor1 has matured into the technology leader in upsell solutions. Headquartered in Silicon Valley, Nor1 provides innovative revenue enhancement solutions to the hospitality industry that focus on the intersection of machine learning, guest engagement and operational efficiency.
A seasoned entrepreneur, Jason has over 25 years experience building and leading international software development and operations organizations. Prior to Nor1, he founded and grew DRCI into a world-class offshore software development organization which maintained facilities in India and Mexico. DRCI focused on providing services to the travel industry, specialized in both high-volume transaction systems and internet technologies.
Jason is a frequent speaker on technology and entrepreneurship. He earned a Bachelor of Science degree from the University of Michigan. Jason also volunteers his time to a number of non-profit organizations. He currently sits on the boards of CYC – Giving Foster Youth A Voice and Impact As One, a Silicon Valley based technology non-profit.
About Nor1, Inc.
Nor1 is founded on a rich heritage of hospitality technology innovation. Using our wealth of industry knowledge, we are committed in the task of helping hotels upsell their rooms and attributes using our proprietary decision engine.
With over 3500 installs worldwide, Nor1 has developed new and innovative products and consultative services that empower today’s hotels to take control of their guest engagement and revenue destiny and grow their business more effectively.
Nor1′s real-time pricing and merchandising intelligence engine, PRiME®, powers eStandby Upgrade®, eXpress Upgrade™, CheckIn Merchandising™, eReach™, and eDirect™ to recommend the most relevant upgrade to the right guest at the right time for the most optimal price.
Investors include Concur Technologies, Goldman Sachs, and Accel Partners.
For more information, please visit www.nor1.com.
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