E-tourism market poised to take-off

Newsletter Adhoc - July 2016
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This year, the second quarter is again the top period for holiday bookings. Online travel booking attracts almost a quarter of web users, or 11 million people. Moreover, the future is bright for these products because the travel category is the fastest growing one, with +23% registered to buy travel products, of the nine categories measured by Médiamétrie through the Web Observatory study. One of the main advantages of digital is the ability to share experiences with other web users. A genuine guarantee of confidence and quality which can have an impact on the buying decision: 80% of travel product buyers in the past six months have already decided not to buy because of a negative comment, while 72% have already been encouraged to buy having read positive comments left on websites. In the light of this increasing popularity, what is the profile of these buyers? Over half of online travel buyers during the past six months are over 50 years of age. . Over four in 10 are in the upper SPC and a quarter of them are retired. Senior citizens are becoming increasingly active on the web because its practical aspect, ease of access and attractive prices meet the needs of this type of buyer. What is the buying process like for web users? Buying travel products calls for upstream consideration. Compared to web users as a whole, 1.3 times more travel product buyers compare products/servicesand search for information about their products before confirming their purchases . The majority of transactions are via a computer, although mobile screens seem to be increasingly used for this type of activity. In the fourth quarter of 2015, 17% of web users who had made a purchase on a smartphone booked travel on their mobile (twice as many people as in 2014), and 25% of web users who had made a purchase on a tablet booked their travel on this device (+35% compared to 2014). Source: Médiamétrie - Web Observatory- Q1 2016

Confidence interval calculus

Sample size or target in the sample

n =

Proportion observed in the sample or on a target in the sample

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%

Warning: only applies to a proportion. The Average Rate is an average of proportions and the Audience Share a ratio of proportions. This tool is provided for information purposes. It cannot be applied for professional purposes without further precautions.

Test of significance of the differences between two proportions

Used to assess whether the difference between 2 proportions is significant at the 95% threshold

Proportion

Sample size

1st sample

%

2nd sample

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Warning: only applies to a proportion. The Average Rate is an average of proportions and the Audience Share a ratio of proportions. This tool is provided for information purposes. It cannot be applied for professional purposes without further precautions.

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