Netnography in the Travel Industry
Netnography, an online research method originating in ethnography, is understanding social interaction in contemporary digital communications contexts. Netnography is a specific set of research practices related to data collection, analysis, research ethics, and representation, rooted in participant observation. The application of Netnography to conduct market analysis in the travel & tourism sector is vital.
Social media has allowed people to share knowledge and reach a wider audience. One of the methodological advantages of netnography first described by Kozinets (2002) was its unobtrusive nature. Pollok et al. commented on netnography being perceived as the “unobtrusive and non-influencing monitoring of the communication and interaction of community members to gain practical insights into their usage behavior.” This perception of observational netnography directly contrasts to more traditional qualitative research methods used to understand behavior such as focus groups, personal interviews, and ethnographies.
Netnography can take many forms including studying the behavior of communities on bulletin boards or social media networks to gather data about the qualitative aspect of consumers that is hard for an algorithm based on pure statistics to obtain. Big data tends to look at data in a statistical manner, whereas Netnography is gathering intel behind the statistics of general social media. It is more focused on meaning than on precision. Using Netnography in travel can help to study customer behavior and know what patterns and why the customers prefer certain travel expectations.
• Observation over asking: We can observe the customers activity on social media, or their preferences based on their activity on the internet. Instead of asking which a lot of customers might prefer not to due to lack of time or availability they might not give us the accurate information we are looking for. Instead, observing their activity and conducting market research will help travel companies understand their target audience better.
• Competition: Netnographic research helps travel companies evaluate their customers needs and also how much of those needs are being met by the competition and how the companies can innovate and offer better in order to beat the competition or stay above it. Applying Netnography for competitive intelligence is certainly not new but quite important, nonetheless.
• Passion: You do not want people to just like your content on social media because then people will do just that, they’ll like your post and move on. You want them to love your travel brand, you want them to retweet it or repost it and tell everyone else they like it. The brand should resonate with people, and they should love it. Researching what content people like and what they want to see is where netnography helps.
• Better insights right now: Technology right now helps get insights not only on the past but also on the current trends and what’s happening right now. This helps travel companies understand the current trends and what ways they can attract new customers.
Sagarika Sangram
References:
https://netbasequid.com/blog/netnography-2017-capturing-consumer-behavior/,2017
https://en.wikipedia.org/wiki/Netnography
tags:
#DigitalMarketing #DataAnalytics #Netnography #Travel #TravelAndTourism #DigitalAnalysis #Research #MarketResearch
Thank you for sharing about Netnography in Travel Industry. Understanding social interaction in current digital communications situations and The travel sector benefits from netnography it improves in analyzing patterns and forecasting trends. also, it help people to evaluate different kinds of people. People nowadays use emojis to express a wide range of emotions, so keeping track of them might help better.
ReplyDeleteThe blog explains how Netnography is a extremely useful research method. Consumers like to share their views and opinions on the internet. This set of data is collected and used for market research. This is really useful for travel and tourism where the companies can improve customer experience by understanding customer expectations.
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