Tech Talk

Recent posts

Time is limited. Once it’s gone, you can’t gain it back. Similarly, once a room goes unsold for a night, it will go unsold forever. There’s no way to recover that loss, because there’s no way to go back in time.
 
Many hotels fight this limitation by trying to sell as many rooms as possible. If all the rooms are completely booked, time no longer becomes a factor. But most don’t have the luxury of being at-capacity every single night. That’s why last-minute booking apps are growing in popularity in the industry, where hotels can make the most of each day. These apps specifically target guests who don’t plan far in advance, seeking accommodations from one week to one minute later.
 
There are several different ways your hotel can benefit from using last-minute booking apps in your business strategy.

IoT is Coming, Jon Snow…
Posted: 05/21/2019

Hospitality is prime for the coming advent of the various devices that make up the Internet of Things. Estimates show the industry now represents 17.5 million rooms worldwide and savvy guests are demanding more personalization and an overall improved guest experience along their connected travel journey and belief is that IoT can bring this to reality. 

The forces driving local search rankings are constantly changing. But recent studies suggest that in 2019, four key factors make up the local search algorithm. 
 
The most significant factor is Google My Business (GMB). If you’re not on it, get on it now.

The robotic revolution in the hospitality industry might seem to have taken a step back. This January, the famously quirky Henn-Na Hotel in Japan fired half of its 243 robot staff. The robotic workforce reportedly irritated guests and frequently broke down.

Think about the moment when you first enter your hotel room. Look around: Does the room tell you anything unique about the hotel where you are staying? Or is it all beige walls and double beds with white covers, and you have to walk back outside and look at the sign on the hotel’s facade to even remember where you are?



want to read more articles like this?

want to read more articles like this?

Sign up to receive our twice-a-month Watercooler and Siegel Sez Newsletters and never miss another article or news story.

x
 

Adapting to the Changing Landscape of Group Demand Measurement; Part 2 of 3

10/02/2014

In Part 1 of this three-part series on the Changing Landscape of Group Demand Measurement, I discussed the health of the overall U.S. hotel market specifically focusing on the group segment. If you missed it, read it here. The looming problem is that group ADR growth is far below what it should be – a challenge that must ultimately be solved by the revenue and sales team responsible for an individual hotel. It’s obvious, but many times forgotten, that overall statistics are made up of each individual property and the decisions they make. Now, let’s take a look at some possible reasons for lackluster group ADR lift and what hotels can do about it.

Hotels supported by a transient revenue management system (RMS) make most of their transient pricing decisions based on data. A good RMS will project demand, determine how sensitive buyers will be to guest room prices and then provide an optimal rate. The same cannot be said for the group pricing process. Group pricing in most hotels is a very manual process and highly influenced by emotions and anecdotal information gathered by the hotel sales and revenue management teams. In most hotels, group pricing is not supported by proper analytics and software. Hospitality revenue management started out as a process whereby we attempted to remove the “gut feel” out of forecasting and pricing transient business. Unfortunately, there hasn’t been the same effort and focus placed on group pricing. 

In this manual pricing environment, it can be a complicated process to determine how to price a group, but, boiling it down, whenever revenue management thinks about a price, it first looks at how much expected demand there is and then determines the value of that demand. As demand goes up and exceeds supply, the price rises and lower value business is turned away. To derive the most appropriate group price, we would still estimate the demand and also incorporate factors such as group history, F&B contribution, reason for the meeting, lead source, etc. For this to work however, we have to accurately measure group demand, because an incorrect assessment of demand will almost certainly lead to an incorrect price. Historically, group demand has been somewhat less complicated to measure than transient demand, but there are some important changes to group distribution which likely impact estimations of group demand.

Before getting into the aforementioned challenges in measuring group demand, I would like to briefly discuss this looking through the lens of transient demand. It was relatively straightforward to measure unconstrained transient demand 10-15 years ago. By adding the number of rooms sold to the number of denials and regrets tracked at the hotel, you could get a reasonable approximation of the amount of demand we might expect if we had an infinite supply of rooms. Denials and regrets in most cases were only captured by voice agents and even then, it wasn’t a complete picture. However, it was statistically significant and in most hotels, a multiplying factor enabled the property to estimate the unconstrained demand with a fair degree of certainty. Due to hotel rate shopping moving from voice channels to electronic channels, we had to adapt and create methodologies for measuring transient demand such as synthetic unconstraining of demand.

What hasn’t been discussed are the online group tools for meeting planners and their impact on the quantification of group demand. Historically, as long as the sales team at a hotel input the majority of their leads into their sales system, group demand could be estimated. By running a report including definite, tentative, prospect, lost, and cancelled business, you can add those up to estimate the amount of unconstrained group demand for a given day or set of days. The big question is whether or not this alone is still the best way or if there are other factors that need to be considered.

In the final post of this three-part series, we are going to look at the impact of third-party meeting planners on traditional group demand measurement and how you might be overestimating demand and ultimately pricing groups incorrectly.

About The Author
Erik Browning
Vice President of Business Consulting
The Rainmaker Group


Erik Browning is the vice president of business consulting with THE RAINMAKER GROUP. With 15 years of revenue management experience across a wide range of hotels in multiple destinations, including 10 years with Hilton Worldwide, Erik understands the hotelier perspective to help meet business objectives.

 

 
Comments
Blog post currently doesn't have any comments.
Leave comment



 Security code