How Chinese Use Their Mobile Phones

Last night (Sept. 3) I attended the Mobile Users Panel held by Mobile Monday in Beijing. This event was held at the Radisson Hotel. This event was the evening part of the Wireless Developer Forum sponsored by Sony Ericsson and Nokia.

I always like to listen to how users use new technology products and services. There are a lot of very smart technology and business people who, at the beginning of a project, have all kinds of ideas of what they are going to build into the next killer app. Then, when they test the product on a focus group, they are always humbled by the experience. I call this phenomena “the revenge of the user”.

Mobile Monday assembled a four-person panel: one 25 year-old research student (technology) from Chongqing and who had lived in Beijing for the past seven years; one 18-year old high-school student who called himself Rico, and appeared anxious to test his fairly good English on the audience; one 25 year-old female math teacher in high school and one 30+ tech startup guy. Because the 25 year-old researcher and the startup founder knew more about technology, I tended to discount their views, and was much more interested in how the 18 year-old high school student (Rico) and the 25 year-old female math teacher used their mobile phones.

Benjamin Joffe, CEO and founder of Plus8star, presented the questions, and a female co-host did the English-Chinese translation work.

The 25 year-old researcher spent about 150 yuan on service charges per month, and was a subscriber to China Mobile’s M-Zone service package, which is targeted at youth. He made about 10 calls daily, and received 20-30 SMS messages daily.

Rico also subscribed to the M-Zone package, which offered 800 SMS messages monthly. He would send about 40 SMS messages daily, which would suggest that even 800 SMS messages a month is not enough for him. He used a Samsung phone; previously he had used Nokia phones. Although he was only 18, this was already his 10th phone, which seemed to cause a gasp in the audience, and Benjamin Joffe did a double-take when he heard this.

The 25 year-old female teacher also used the China Mobile M-Zone service, but also used PHS service at home because of the low monthly charges. Her use was much lighter than Rico.

When it came to services used, Rico said that he had once used China Unicom, but the monthly charges had gone up to 300 yuan a month, and he had cancelled. The rate he seemed most comfortable was in the region of 150 yuan monthly.

Aside from the 25 year-old researcher, all had more than one phone and one SIM card.

Benjamin Joffe asked all of them if they knew about 3G. Rico said that he didn’t know the details, but that he thought that it meant there would be higher quality services at lower prices. All said that they occasionally played casual mobile games and never expected to pay for them. This would suggest that entertainment on the mobile platform is headed for an advertising model.

It became most interesting when Benjamin asked what single feature they would like their next phones to have. The answer from both the female teacher and Rico were maps. Rico suggested that he would also like GPS so that he could find his way around. The female teacher recounted how she got lost meeting her class one day on a day trip, and how helpful it would have been to her to have a mapping service; she said that it would have prevented her from being some 10 minutes late to meet her class.

Maps and mapping are still sensitive government-regulated issues in China, and it will be interesting to see how the different regulatory ministries will reach consensus on how to offer these services.

My conclusions are:

  • It will be very difficult to monetize mobile content in the next 2-3 years because of government regulatory hurdles and a generally challenging environment.
  • While China is a very big market in the mobile and Internet space, users are still very price-sensitive. Most teenage urban users would cap their monthly subscriptions at 150 yuan, and 300 yuan would be a ceiling for most salaried people. (Rico was spending his parent’s money; and I assumed that working people would be willing to spend up to 300 yuan of their own income on monthly mobile services.)
  • Just because someone likes a service a lot does not mean that they are willing to pay for it, so please remove those rose-tinted glasses and stop fantasizing about the “China market” is my advice to those entering the Chinese market.
  • Mapping and GPS on mobile phones are the killer app, but are currently regulated by different Chinese government ministries. Currently, there are still no standard published APIs for accessing an online mapping service. A lot of horse trading will happen before everything gets sorted out on the government level. When that is done, advertisers will have to figure out how to monetize maps and GPS services, which involves yet another round of horse trading.
  • The times when telcos and their partners were fantasizing about people spending kajillions of dollars, yuan and yen on mobile services will be hit hard by the expanding credit crisis. I expect users worldwide to put fairly solid ceilings on their discretionary spending, at least in the US. In China, the government may further slow down credit expansion since they have already seen what fast credit expansion has done in the markets of Japan, South Korea and Taiwan, where there are swathes of the local populations which have become victims of their monthly credit card payments.
  • The ultimate measure of how much users spend on mobile services is ARPU (average revenue per user). While China is much larger than Japan in population and market size, the amount of revenue generated by the telcos in the two countries are about the same. It’s going to be a long long time before the average Chinese user spends nearly the same amount on mobile services as the current Japanese user does.

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Visualizing the Internet and Online User Behavior

One the things which has been interesting to me are visual maps of the Internet, which show the main websites, and usually, how much traffic they attract. One of the leaders in measuring Internet usage all over the world, and in Asia-Pacific, is Comscore, which recently prepared a report on Asia-Pacific Internet usage.

Today, we are swamped with data and different sets of variables, so much so that most executives prefer to have their data presented in some graphic form. One great pioneer in this field is Edward R. Tufte, whose book The Visual Display of Quantitative Information is considered a classic for all communicators who need to provide snapshots of large data sets in a simple and clear fashion so that business decisions can be made quickly and efficiently.

iA Japan has recently released a map of the Internet presented as a variation of the Tokyo subway map. Broadly speaking, larger sites are larger, while sites with less traffic are smaller.

Internet Web Trend Map

Now, I find myself spending more time thinking about how to visualize human behavior. Advertising and marketing have everything to do with understanding group behavior and psychology. While there have been books written about it, there has been almost no research done about how to visualize it. I find myself most interested in how groups of people move from one interest and website/s to another.

In the map, for example, I can see that among Chinese sites, Sina, Sohu, Netease and QQ are big, but I don’t know how people move to and from these sites, and to other sites. Static maps are about nouns; I’m also interested in the verbs and the adverbs. And not on a static basis as a snapshot, but in a live, ongoing, continuously evolving and changing basis in real-time.

How would online user behavior be visualized? One thing for sure: no static image would capture it; it would have to be like a video, constantly updated in real-time. And what insights would it give to marketers, advertisers, psychologists, anthropologists and linguists? My guess is that it would show that online user group behavior really has a lot in common with members of the animal kingdom which travel together in large groups, such as fish and starlings.

How about you? How do you think this data should be represented?

Since Google just announced a new university search API for research, maybe this could be a project it could be applied to.

Flock of starlings

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