Online Shopping in Japan – More Shopping Done with Smartphone

Online Shopping in JapanFrom the early stage of online shopping in the ’90s, Japan has been one of the biggest B2B and B2C eCommerce markets in the world. According to Nielsen’s reported last February that people were shopping more from smartphone than PC in Japan. This latest report from last December shows that is still the case.

At the same time, people are not only still shopping from PC, but they are spending more time when they shop from PC, and they tend to use more services. Perhaps, when they are not sure of what to purchase or which site to purchase from, they use PC to do more research. The data shows that people spend only 20 minutes average, when they shop from smartphones, which is not much time to shop around.  They probably knew already what to purchase from which site in that case.

Another interesting differences between PC and Smartphone shoppers is that older generations like to shop from PC, while younger generations like to shop from smartphones. The report doesn’t give you the average amount of money spent per session, but I’m guessing that PC shoppers spend more money than smartphone shoppers.


Yahoo Japan launches “Tweets Sentiment Analysis Tool”

Yahoo JP Sentiment AnalysisLast week, Yahoo Japan announced the launch of their official version of Tweets Sentiment Analysis Tool. The tool analyzes the tweets to determine if they are “positive” or “negative” comments against the search queries. They launched the beta version of the tool in 2013, and just launched the official version with more functions.

The main function of the tweet sentiment analysisofficial version:

  1. Show the positive” ornegative” sentiment for the search keyword with a pie chart
  2. Show the transition of the positive” andnegative” sentiment for the search keyword in the graph over the period of time
  3. Show the typical post for the “positive” and negative” sentiment
  4. It analyzes unlimited words (? The ? version was limited to 11,000 words)
  5. It analyzes all of the posts for the past 30 days (? The ? version only analyzes the latest tweets)
  6. You can set any time frame between15 minutes to 30 days
  7. It uses the machine learning for the analysis system (? The ? version uses the dictionary tool)

Web Tracking Dilemma – Unreliable Cookies

40% cookie trackingLast week at the Web Summit in Dublin, Ireland, I heard a couple of sessions about the tracking difficulties that all website owners are dealing with. According to Facebook’s Erik Johnson, the issue was far worse than many of us thought. Some of the data he shared were very concerning especially to the e-commerce site owners as we are entering this year’s holiday seasons.

Here are some of the numbers he shared:

  • 60 percent of consumers use at least two devices per day, and 40 percent begin shopping on one device and finish on another.
  • 21 percent of conversions aren’t captured due to the use of multiple devices.
  • E-commerce is growing, but the vast majority (94%) of sales still happen in-store.
  • Cookies average 59% accuracy in demographic targeting. It means that when you think you served the ads 6 times, you actually served 10 times.

Online-offline tracking, multiple device tracking, cookie accuracy, privacy concerns, etc., there are many challenges for the tracking. However, on the other session, Rami Essaid of Distil Networks said that the online tracking won’t go away since there are too many benefits. He spoke that the focus should be put to create more transparent ways of using the data instead. On one hand, the consumers don’t want the companies to track them, but on the other hand, they don’t mind sharing the information if they get something in return. Perhaps one day, there’s a way to connect the dots of on-line and off-line purchases, using multiple devices, locations, etc. with something like a store membership card and login.