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Vpon Releases the Latest APAC Mobile Programmatic Advertising Statistics and Trends Report

Asia Cross-border Tourism: The Untapped Goldmine
Vpon Big Data Group
2017-03-01 16:30 2609

HONG KONG, March 1, 2017 /PRNewswire/ -- Vpon Big Data Group, Asia's leading big data ad tech company, releases the "2016 APAC Mobile Programmatic Advertising Statistics and Trends Report", unveiling the mobile insight and user behavior of Greater China tourists and comprising tourist behavioral differences between away and in home country. A real case of American Express (AMEX) is included to demonstrate on how data-driven approach increases in overseas transaction revenue by 500%. Additionally, the report reveals the latest ad programmatic market trends across Asia Pacific.

In light of the strong growing momentum of tourism in APAC, this report focuses on the in-depth analysis of Japan, one of the most popular destinations in the region, and the behavior of Japan's tourism main contributors - tourists from mainland China, Taiwan, and Hong Kong. It is discovered that the tourists were highly connected to mobile throughout the day and they had a higher acceptance toward mobile ads during the trip, leading to a high click-through-rate (CTR) which is averagely 25% higher in Japan than in home regions.

"Cross-border mobile marketing is predicted to have a strong growth in the coming decades as marketers are desperate to broaden their customer base and revenue streams, rather than solely maintaining local markets," said Victor Wu, CEO at Vpon Big Data Group. Wu added, "Till now, even when many marketers have already experienced the power of tourism gold mine at certain levels, most of them have failed to execute campaigns in a sustainable manner. The commonly used practice, such as media buying on travel-related platforms, is no longer the only way to reach out the tourists. Through mobile devices, we can actualize the audience buying and connect with the tourists in all three stages (before-, during-, and after-trip), which provide a seamless brand experience throughout their entire journey."

Wu further explained the concept by using the case from one of Vpon's clients - AMEX, a multinational financial services corporation. "As a partner of AMEX in China, Vpon formulated a cross-border marketing strategy to encourage the usage of AMEX credit card overseas. With our huge amount of Asian tourists' mobile behavioral data, Vpon is able to identify potential Chinese tourists to start building awareness before their trip, encourage immediate actions during the trips, and finally re-target them to re-connect in the after-trip stage. The result is remarkable with 500% increase in overseas revenues from credit card transactions in one quarter."

The report also covers the latest programmatic market trends across APAC. Mobile advertising inventory has been dominated by three markets -- India, Japan, and China, up to 60% of the total biddable inventory. As for effective cost per mille (eCPM), the Greater China region has a lower side while Oceania region is comparatively costly.

For full report: http://www.vpon.com/en/events/2016AsiaReport/index.html?utm_source=VPON_EN&utm_medium=ENPR_Media_SG

About Vpon (www.vpon.com)

A leading Big Data Analytics company in Asia, Vpon Big Data Group was founded in 2008 and focuses in the area of big data processing and analytics capabilities, and proprietary technology specializing at mobile targeting advertisements. Widely-recognized by the industry, Vpon won Bronze for Greater China Specialist Agency of the Year 2016 and Top 3 Forbes China's Top 100 Privately Held Small Businesses For 2015. Vpon services over 1500 renowned brands through its network of 4 offices in Shanghai, Tokyo, Taipei, and Hong Kong. Vpon has expanded its coverage of over 900 million unique mobile users across Asia to provide insights and strategies for clients to explore business opportunities through mobile marketing and use data to drive transactions.

Media Contact

Ms. Bowie Ma
+852-2748 7376 (Ext. 805)
bowie.ma@vpon.com

Source: Vpon Big Data Group
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