Demystifying Social Media Analytics for Hospitality

This month the Analytic Hospitality Executive blog is all about social media. Being the data lovers and analytics geeks that we are, we are particularly interested in social media not as a marketing tool, but rather as a new and exciting source of data that can be leveraged across the enterprise to augment and enhance your existing analytics efforts.

I have been giving a lot of thought to this topic, and it has become a particular passion of mine. In fact, later this month you’ll hear from an academic colleague of mine about some research we’ve been doing into how revenue managers could take advantage of social media, and the challenges and opportunities associated with developing pricing strategies in a social world. We’ll also talk to operators who have started incorporating social media analytics into their business strategy development. However, before we get started with that, I thought I’d take a step back and provide some definitions that will put this month’s posts in context. Despite the attention that social media has received in the popular press, at conferences, and by consultants, it can still be a bit of a mystery -- particularly from an analytics perspective.

A definition
Starting from the very beginning, for the purposes of our research, we define social media as a group of Internet-based applications that allow the creation and exchange of user-generated content[i]. These applications are designed to facilitate conversation, allowing the consumer to participate in the development and dissemination of content. Examples include review sites (TripAdvisor and Yelp), news sites (Digg), social sharing (Flickr, YouTube), social bookmarking (Delicious, Faves), and purchase/review sites (Amazon, Travelocity). There is a myriad of these types of applications, which means that conversations about your brand are taking place in many places in many languages across the globe. While this can be intimidating, it also represents a huge opportunity for hospitality companies not only to engage with customers, but also to turn all of this social activity into meaningful, actionable information.

The data
We are all familiar with the volumes of unstructured text data generated by these sites, but there are also many other types of data in social sites. Basic quantitative data like number of reviews, number of fans, number of friends or followers, or aggregate consumer ratings is available. Social sites also contain images (How many of you have been hearing about Pinterest lately?), video, and audio. Demographic information can be mined either through site-mandated entry (e.g. age range, gender, purpose of travel, location) or through the comments themselves (e.g. my wife ordered the fish; we don’t have a place like this in Chicago). Finally, the connections among users within the networks and the impact of their social media activity can provide an interesting source of information.

Analysis options
I generally separate social media analytics into three basic categories: descriptive statistics, social network analysis, and text analysis. Descriptive statistics provide a snapshot of historical and current performance. They answer questions like: How many fans do I have? How many reviews have been posted over the last six months? What is my average rating on each of the Online Travel Agents (OTA)? Social network analysis (SNA) is an advanced analytic technique that uses the connections among users, and the impact of their social activity, to determine the degree of influence each participant has within these social networks, and who they are influencing. Once you have this information, targeted marketing efforts can be directed at the most influential users such that they spread your message for you. For example, you could use SNA to identify the influencers in a cruise community and invite them to preview a new ship or a new itinerary with the hopes that they will rave about it within their community.

Text analysis, which is used to quantify unstructured text data, includes: content categorization, text mining, and sentiment analysis. Content categorization automates the process of categorizing text documents according to their content and tagging them to optimize search. This time-saving technique keeps organizations from having to read through every document and manually tag them. Content categorization could help hotels and casinos to automatically categorize open-ended responses on guest surveys so they could be routed to the appropriate department, whether it is housekeeping, front desk, or maintenance. Text mining, similar to data mining, uncovers related concepts in large volumes of conversations, and surfaces key topics that can be used to understand or predict guest behavior.

For example, text mining could tell you that the most frequent topic of conversation among your customers relates to the loyalty program, and when guests mention the loyalty program, they also talk about earning and redeeming points. The final technique is sentiment analysis, which uses natural language processing to determine how guests feel about attributes of your brand, product, or service. Sentiment analysis will tell you that guests are relatively positive about your beds, but they have negative feelings about the service at the restaurant. Best of all, social data is public data, so you can grab your competitor’s data and perform the exact same analysis on it that you do on your own.

Once you have quantified unstructured text and collected descriptive statistics, traditional advanced analysis like forecasting, predictive modeling, and optimization can be used on this data to gain additional insight. For example, you can track trends in sentiment analysis to predict where service problems may occur, to target training efforts, or to help understand where to invest in refurbishments. Volume of chatter after a promotion can be used to predict success of future promotional activity. Results of text mining can be incorporated into behavioral analysis to enhance acquisition, retention, and attrition modeling. Influencer scores can be incorporated into the customer value calculation to place a dollar value on a particular guest’s network.

Where do you start?
With so many options, it can be overwhelming to determine where and how to get started. To help with this, some colleagues and I developed a framework[ii] (below) that places the direction of social media communication (inbound -- or consumer generated and outbound -- or firm generated) against the scope of the decisions must make (short term -- tactical and long term -- strategic). Inbound information flow is the data generated in social networks by the consumers, and outbound represents the firm’s communications through social media channels. Most hospitality managers, particularly analytic hospitality managers, are used to working with data and with channels, so social media simply adds another data source and another channel. My co-author, Dr. Noone, will place this framework in the context of revenue management later this month (which is where the quadrant examples come from), but I propose that it can be used by any department that is struggling to find a way to take advantage of social media.

What you will realize as you begin to apply this framework, and what I think is key to successful social media analytics, is that the right approach is to start by identifying a business problem you need to solve, and then to determine how social media analysis could be used to improve the solution. Instead of letting social media drive you, think of incorporating it as another data source and channel to augment your existing tool basket. This approach makes it much easier to envision how social media can be leveraged across the organization (and will probably give you more ammunition to justify your investment in Social Media!).

[i] Kaplan, A.M and Haenlein, M. (2010) Users of the world, unite! The challenges and opportunities of social media Business Horizons 53 (1) 59-63.

[ii] Adapted from Noone, B.M, McGuire, K.A. and Rohlfs, K.V (2011) Social media meets hotel revenue management: Opportunities, issues and unanswered questions, Journal of Revenue and Pricing Management 10, 293-505.

How and when hotels and casinos should participate in social media conversations was a topic addressed in the conclusions paper, Getting In on the Conversation: The Power of Social Media in Hospitality and Gaming, from a Webcast sponsored by SAS and the Center for Hospitality Research at Cornell University’s School of Hotel Administration.

Kelly A. McGuire, PhD, Executive Director, Hospitality & Travel Global Practice, SAS

Kelly McGuire leads the Hospitality and Travel Global Practice for SAS. In this role, she is responsible for driving the offering set and setting strategic direction for the practice. She works with product management, sales, alliances, and R&D to ensure that SAS solutions meet the needs of the market. She also works closely with IDeaS Revenue Solutions, a SAS company, helping to integrate IDeaS revenue management solution with SAS's Customer Intelligence solutions. She has 20 years of experience in the hospitality industry. Before joining SAS, she consulted with Harrah's Entertainment on restaurant revenue management strategies for its major markets. Prior to that, she was a senior consultant at Radiant Systems. She also worked for RMS (Restaurant Revenue Management Solutions) providing menu item pricing recommendations to major chain restaurants.

McGuire has a BS from Georgetown University and an MMH and PhD in Revenue Management from the Cornell School of Hotel Administration. Her research has been published in The Cornell Hospitality Quarterly, Journal of Pricing and Revenue Management, and Journal of Service Management. She and her fellow "The Analytic Hospitality Executive" bloggers are hospitality industry specialists at SAS who have partnered with The Center for Hospitality Research at Cornell University to find solutions to hospitality industry challenges. In this blog, Kelly leverages the knowledge of the faculty, existing research, and the experience of industry peers to answer the questions that hospitality executives face every day. These questions regard topics such as revenue management and price optimization, social media analysis, sustainability, patron/guest lifetime value optimization, labor planning, and marketing automation and optimization.

The Profitable Path to Personalization for Hotels

For hotels personalization requires teamwork across the diverse marketing, operations, and revenue management groups.

Beyond the Basics: What's Next in Predictive Analytics for Hotels?

There are new and exciting use cases for predictive analytics on the horizon for hotel organizations. As the industry as a whole grapples with big data, you can better come to terms with the data from the explosion of interaction points with our guests.

Re: Its All in the Identification
  • 3/18/2012 5:17:08 PM

But that is where most of the issues arise. The strategic alignment of personnel and responsibility should be known from the onset. If there is ambiguity from the get-go, then trying to clean up the confusion later will be messy. Management should be responsible for confirming that there is direction and buy-in from all involved parties for a smoother, effiicient workflow.

Social Media and Customer Centric
  • 3/16/2012 9:36:39 AM

Results take time and commitment. The operational effectiveness of social media metrics particularly in SNA to identify key influencers for hospitality whether in brand or revenue. social media analytics provides the data source to support RM's efforts to build business strategy, expand into other revenue-generating assets and become more customer-centric increasing the economic value of the customer and increase retention.

Re: Analyzing social media
  • 3/15/2012 1:50:56 PM


Thank you, glad you enjoyed the post.  I particularly appreciate your point about linking social media analytics back to more "traditional" key business metrics.  This is language that everyone in the company understands (hopefully!), so should help to break down barriers when it comes to becoming more comfortable with the social data.


Analyzing social media
  • 3/14/2012 6:10:23 PM



Great post and you bring up an important point about knowing where to start with a social media analytics effort. We often recommend to clients that the same key business metrics they follow for their business: sales data, ratings, customer satisfaction should be what is monitored in social media. Developing an ad campaign that you hope viewers find funny and drives purchase language, configure your analytics strategy to surface those indicators.

The key is to integrate social media insights into the larger business picture; siloed social media monitoring doesn't benefit the whole organization even though  consumer conversations may influence the entire business and industry.


Thanks for the great post!

-Jennifer @collectual

Re: Its All in the Identification
  • 3/12/2012 9:17:17 AM

Couldn't agree more! That's why aligning to a business strategy helps put social media in context. Of course, this assumes that everyone in the company is aligned to the same business strategy - and we know that's not always the case!

Re: Lifting the fog
  • 3/12/2012 9:12:19 AM

Agreed. I would like to see more companies take an analytical approach to the whole problem. Instead of spreading the same messaging all over the social space, use what you know about your customers and each social network to develop a sound program that is aligned with your overall marketing/brand/business strategy AND provides the right opportunity for you to learn something from the interactions as well.

Re: Social Media Analytics and The Competition
  • 3/12/2012 9:08:50 AM

Louis, Thanks for pointing out this very important component of social media analysis. I always say that the opportunity to do an "apples to apples" comparison with your competitors is a HUGE opportunity in this space for hotels and casinos (any industry really), and one that we've never really had before except at the aggregate or benchmarking level. I'm glad you enjoyed the blog. I look forward to continuing the conversation!

Re: Its All in the Identification
  • 3/11/2012 9:44:24 PM

Jenn, are you alluding to confusion over who should wear whose hat, or more competition among people fighting to wear the same hat?

Re: Its All in the Identification
  • 3/11/2012 6:09:29 PM

I think the problem,especially in large companies, is getting everyone together so they can understand the "hat" they are supposed to be wearing, or what data they should be looking for.

Re: Its All in the Identification
  • 3/11/2012 10:29:36 AM

When there's tons of data available, which can easily cause distraction, it is always good to know what you're looking for. If everyone is wearing the same hats to determine the answer/solution to a business problem, it should be an effective search mission.

Page 1 / 2   >   >>