IBM Social Sentiment Index: This Year Holiday Travel Could Move from Naughty to Nice List
Big data is giving travel industry tools to create offers that match what customers say they want
Dec 20, 2012
ARMONK, N.Y., Dec. 20, 2012 /PRNewswire/ -- In spite of the annual holiday crush of crowded skies and roads and fluctuating airfares, an IBM (NYSE: IBM) analysis of social media sentiment suggests that Americans are increasingly optimistic about traveling. In particular, the "Desire Ratio" - the proportion of positive versus negative comments -– indicates that people are "looking forward" to holiday travel by a factor of 26 to one. This represents a spike in positive sentiment nearly 12 times greater in 2012 versus 2011.
Measuring public sentiment can help travel industry chief marketing officers customize incentives and services to be more in tune with what customers are asking for, using data to tailor their offerings to address fast-moving trends and real time customer needs.
According to the IBM Social Sentiment analysis, there was an increase in the volume of positive conversations about flying, driving and spending time with family and friends, among others. For example, the IBM "Desire Ratio" for flying indicated that comments are roughly 2.5 times more positive about travel in the 2012 holiday season. This increase could possibly be attributed to the Cyber Monday deals that airlines ran this year. Positive sentiment associated with driving also increased 13 percent.
"Measuring social sentiment has the potential to enable the travel industry to literally design travel offers and services tailored to what travelers are telling us," said Raul Arce, vice president, travel & transportation, IBM. "Big data has the power to transform the travel industry for the airlines, hotels and other travel providers that can translate customer desires into irresistible offers that they will welcome."
The IBM Social Sentiment Index combines sophisticated analytics and natural language processing technologies to gauge consumer public opinions from Twitter, blogs, message boards and other social media. In this instance, the Index was used to measure and understand consumer views around the holiday travel season in the United States from the period of December 1 – December 10 in 2012 and 2011.
The volume of conversation about flying as the holidays approach is up 10 percent in comparison to last year (38 percent in 2012 vs. 28 percent in 2011). This enthusiasm is not limited to those who have confirmed travel plans. A possible window of opportunity exists for businesses to influence last-minute customer travel-related decisions. Anecdotally, around one quarter of online holiday travel conversations suggested that an itinerary had not been finalized.
The analysis also surfaced insight into trends and topics related to flying this holiday season. Top of mind for travelers are airline loyalty programs and best ways to convert miles, possible fuel surcharges likely related to the price of fuel, and what to do with pets while on vacation.
While it might seem like "noise" that there is a cluster of social conversation around potential travelers and their animals, it could signal an emerging trend - or niche demographic - that pet-friendly hotels or airlines could capitalize on through additional promotional activities or special offers directly tied to the holiday season for pet owners.
Additional insights from the IBM Social Sentiment Index for holiday travel include:
The wealth of online content around travel -- from traveler review sites to public conversations on Twitter and Facebook -- has become very influential in how people determine their travel plans. Understanding the positive, neutral and negative nuances of their conversations and who is influential can help airlines, hoteliers and other travel service providers market better products and services to their customers.
About the IBM Social Sentiment Index
The IBM Social Sentiment Index uses advanced analytics and natural language processing technologies to analyze large volumes of social media data in order to assess public opinions. The Index can identify and measure positive, negative and neutral sentiments shared in public forums such as Twitter, blogs, message boards and other social media, and provide quick insights into consumer conversations about issues, products and services. Representing a new form of market research, social sentiment analyses offer organizations new insights that can help them better understand and respond to consumer trends. IBM's social sentiment capabilities are delivered on an industry-leading big data platform that can access, store and analyze any data regardless of how fast it is moving, what type it is, or where it resides.
For more information about IBM Social Sentiment Index, please visit www.ibm.com/social-sentiment. Follow the conversation at #IBMIndex on Twitter.
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