{"id":120006,"date":"2019-07-26T00:00:00","date_gmt":"2019-07-25T21:00:00","guid":{"rendered":"https:\/\/rhn.ro\/tourism-65-of-total-marketing-budgets-to-go-toward-digital-campaigns\/"},"modified":"2026-03-27T15:56:44","modified_gmt":"2026-03-27T13:56:44","slug":"tourism-65-of-total-marketing-budgets-to-go-toward-digital-campaigns","status":"publish","type":"post","link":"https:\/\/rhn.ro\/en\/tourism-65-of-total-marketing-budgets-to-go-toward-digital-campaigns\/","title":{"rendered":"Tourism: 65% of Total Marketing Budgets to Go Toward Digital Campaigns"},"content":{"rendered":"
Half of the marketing investments made in 2018 by players in the tourism market went toward digital advertising. For 2019, the level of investment is expected to grow even further with the help of new deep learning technologies, which allow the real-time distribution of highly personalized offers to consumers.<\/div>\n
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RTB House estimates that marketing specialists in the tourism sector will focus even more on digital channels this summer.<\/div>\n
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While last year approximately 50% of tourism marketing expenditures went toward digital campaigns, forecasts for this year indicate an increase to 65% of total budgets allocated for marketing expenses. At the same time, it is expected that approximately 10% of these digital marketing budgets will be directed toward programmatic advertising.<\/div>\n
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With the increase in digital marketing budgets, marketers have the opportunity to reach consumers through personalized ads across various channels.<\/div>\n
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According to the Travel Industry Marketing Study 2019 report, 46% of tourism marketing specialists consider the real-time distribution of personalized advertisements to be the greatest challenge they face.<\/div>\n
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Deep learning technology allows for the analysis of not only basic elements of user behavior (what products they search for or which product categories interest them) but also several secondary types of data and information.<\/div>\n
“If we were to relate it to body language, if you analyze the smallest expressions, you can even figure out the intentions at a subconscious level. Deep learning algorithms use a similar tactic, making it possible to analyze less visible components of user behavior,” adds Catalin Emilian.<\/div>\n
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Computing systems use this data to determine a user’s purpose in a store and predict what product they want to buy. On the other hand, classic algorithms can only estimate what types of products might attract the consumer’s attention.<\/div>\n
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According to RTB House data, campaigns run with the help of deep learning generated up to 41% more clicks than classic campaigns. Such an increase can be essential in fields like tourism, fashion, or stores offering a diverse portfolio of products, areas where the number of offers across various product categories is almost unlimited.<\/div>\n
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Deep learning is also becoming a tool for marketers to maximize the efficiency of their marketing expenditures, generating much better results for various industries, from the automotive and entertainment markets to the marketing industry. With the help of deep learning, the tourism industry can generate real-time offers with prices, packages, and reservations chosen according to each user. The final result is not only an improvement in user experience and satisfaction levels but also the creation of much more efficient programmatic campaigns.<\/div>\n

Source: Wall-Street<\/a><\/p>\n

Frequently Asked Questions<\/h3>\n

What percentage of tourism marketing budgets is allocated to digital?<\/strong><\/p>\n

In 2019, digital marketing budgets in the tourism sector are expected to reach 65% of total expenditures, up from 50% the previous year.<\/p>\n

How does deep learning impact tourism advertising?<\/strong><\/p>\n

Deep learning allows for real-time personalization of offers, resulting in up to 41% more clicks compared to traditional advertising algorithms.<\/p>\n

What is the main challenge for tourism marketers today?<\/strong><\/p>\n

According to industry reports, 46% of marketers find the real-time distribution of personalized advertisements to be their most significant challenge.<\/p>\n","protected":false},"excerpt":{"rendered":"

Half of the marketing investments made in 2018 by players in the tourism market went toward digital advertising. For 2019, the level of investment is expected to grow even further with the help of new deep learning technologies, which allow the real-time distribution of highly personalized offers to consumers. RTB House estimates that marketing specialists…<\/p>\n","protected":false},"author":0,"featured_media":67747,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2858],"tags":[],"thb-sponsors":[],"class_list":["post-120006","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tourism"],"article_style_override":"","post-style":"","post_via":"","post-top-image":"https:\/\/rhn.ro\/wp-content\/uploads\/2019\/11\/turism-2.jpg","_links":{"self":[{"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/posts\/120006","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/comments?post=120006"}],"version-history":[{"count":0,"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/posts\/120006\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/media\/67747"}],"wp:attachment":[{"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/media?parent=120006"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/categories?post=120006"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/tags?post=120006"},{"taxonomy":"thb-sponsors","embeddable":true,"href":"https:\/\/rhn.ro\/en\/wp-json\/wp\/v2\/thb-sponsors?post=120006"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}