Online shopping behavior in Asia – Comparing cross-device consumer behavior using passive metering in Japan and Taiwan – Part II

For the second part of our case study, we are focusing in on the shopping behavior of consumers in Japan and Taiwan. As we saw in the first part of our study, there are significant differences in the online browsing behavior of consumers in these two countries. We wanted to see if these differences also extended to their shopping behavior. We also recreated two examples of passively measured path to purchase journeys for smartphone shopping.

Top shopping domains

We created a top five for shopping sites in both countries, based on total visits.

ShoppingDomain

Rakuten was by far the most visited shopping site in Japan, not just reaching number 1 in shopping domain visits but also number 2 across all domains in terms of reach. Amazon is used far more frequently in Japan than in Taiwan, which is due to the fact that Amazon doesn’t have a local website for Taiwan and has not expanded its services fully to Taiwan in the same way they it has for Japan. Ruten, a consumer-to-consumer marketplace, ranked highest in Taiwan.

Top shopping apps

ShoppingApp

In the top 5 ranking for shopping apps, while Rakuten and Amazon remain the number one and two in Japan, Taiwan’s ranking is radically different from the top 5 domains, introducing Shopee as the number one app. Yahoo also makes an appearance here, reflecting the fact that it was the site with this highest reach overall for both countries.

Busiest hour for shopping

We also found that when it comes to shopping, Japan busiest hour is 10pm in terms of unique visits. We found something similar when we conducted our global case study, where the busiest hour for Japan overall was 9pm. Generally, our Japanese participants were most active late in the evening. In contrast, Taiwan’s busiest hour for shopping happened around 9am.

Average session duration

Within our panel, we found the average length of a session in Japan is more than twice as long as in Taiwan, and almost 3 times as long for a purchase session. This is something we also found when we examined individual paths to purchase. Our example for Japan consists of two long sessions, whereas for Taiwan the journey happens in multiple short sessions split over a week.

Individual path to purchase: Japan

Using our passively tracked data, we were able to reconstruct two paths to smartphone purchase journeys from our panels.

Our Japanese participant starts her journey with seeing a advertisement from Mineo, saying that if purchases a device from Mineo and attracts new clients she will get a ¥2000 Amazon voucher for each person she recruits. After seeing the ad, she looks up 'cheap sim comparison’ on Rakuten websearch, makes the decision to switch from her DoCoMo device to Mineo, and decides on ordering a Fujitsu Arrows m03 phone. She might also have recruited a family member/friend, to take advantage of the deal.

From here, she goes straight to Rakuten and searches 'smartphone case’. She looks at a range of different cases, while occasionally switching back to look at the device she just purchased on the Mineo website (perhaps to see what it looks like and compare how it would work with the cases she is seeing). She also checks phone cases on Amazon, but decides to return to Rakuten to continue her browsing. The next day, she returns to Rakuten and narrows her search to the ‘Arrows’ range of phone cases.

After some more browsing she narrows her search even further, specifically searching for ‘arrows m03 case’ on Rakuten and Amazon. Finally, she decides on two cases on Rakuten and adds them to her basket. She stays on Rakuten to also search for a screen protector, which she adds two to her basket after reading reviews. The total time it takes her to buy the phone cases and screen protectors is 2 hours and 19 minutes, and involves 345 pageviews.

In her post-survey, she confirms that she bought a Fujitsu Arrows m03 phone, and that her family was her main source of information about the purchase as well as the trigger for purchase.

Individual path to purchase: Taiwan

This journey starts with our Taiwanese participant searching for the Huawei Honor 3C on Google. From there, he visits a price comparison website to see some of the prices for the phone. He also Googles Taiwan Mobile, and starts looking around the site at mobile devices, but doesn't find what he's looking for and makes no purchase.

The next day, he goes straight to Xiaomi (a phone manufacturer) on his mobile device to start looking for phones. Here, he looks at a range of different models, and subsequently looks up the Xiaomi Redmi Note 4x on shopping.friday.tw. A day later, he returns to the manufacturer website on his mobile device to look at different phones once again, but still makes no purchase.

On day four, he uses Google to find 'landtop’, a price comparison website.

Here, he looks at the 50 newest phones and their prices. However, the 'Xiaomi' brand of phones are not included in the list, so he looks up the Redmi Note 4x again on Google. From there, he returns to the manufacturer page and looks at the product pages for both the Redmi Note 4 and 4x.

Finally, he choses the Note 4x, and starts looking at prices of the phone on shopping.friday.tw. Here, he finds the phone he wants, logs into the site, and makes the purchase. The purchase session of the phone itself takes 71 minutes.

The next day, he checks manufacturer site again, where he signs up and creates an account, perhaps so he can buy accessories.

Two days after his purchase of the phone, he starts looking at phone cases and screen protectors on GoHappy, TaoBao and Tmall, but does not make an purchase yet. However, he spends the following day by looking at various phone cases and screen protectors on Shopee, and after browsing for a while, looks on Xiaomi, also for accessories. Finally, he returns to Shopee and purchases both a phone case and a screen protector on the site.

The total purchase journeys happened over the span of a week and involved sessions on both desktop (shaded blue) and mobile (shaded orange) activity.

In the post-survey, he indicated that he did indeed purchase the Xiaomi Redmi Note 4x, that this purchase was a gift, and that he bought it online because he got a better price and because he prefers online shopping in general.

Conclusion

The main takeaways from this study are that there are major differences in the online behavior across Japan and Taiwan, as well as some similarities. One of the most striking differences is the sheer difference in amount of time spent online, which was almost twice as much on desktop for Japan and seven times as much on mobile. Japan was also mobile-first, whereas Taiwanese panelists used their desktop device more. Additionally, we found that the lengths of sessions for Japan, both ‘normal’ sessions and purchase sessions, were longer than for Taiwan. However, this does not necessarily mean they spent more time browsing before making a purchase, as we can see with the individual paths to purchase - it could simply be that in Taiwan, panelists browsed more often but in shorter sessions.

There was also a marked difference in the use of social media platforms, specifically Facebook. As in much of the rest of the world, Facebook had a high reach in Taiwan. In Japan, on the other hand, it reached only 6th in most reached domain, and 13th in most visited domain. The app performed even worse, only reaching 51 unique visitors out of 256.

Rakuten was clearly the number one site for shopping in Japan, both on desktop and on mobile. It was also used occasionally in Taiwan, but their shopping was more spread out over multiple domains, such as Ruten, TaoBao and Shopee.