talk about phones june 2007 white paper slides (english)
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For more information on CIC white papers, please visit our website http://www.cicdata.com/en/iwom_whitepaper.phpTRANSCRIPT
The Talk About Phones:An overview of Internet Word of Mouth discussions around mobile phones on Chinese BBS
WHITE PAPER
June 2007
© 2007 CIC
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BACKGROUND*
• This white paper is an overview of community and discussion around 4,997,258 BBS (online message board) messages written by 731,403unique users related to mobile phones or coming from online mobile phone communities during the period of January 1, 2007-March 31, 2007.
• The discussions were mined using CIC’s proprietary data collection and text mining tools and methodology.
• This type of systematic research of such a rich and unique resource can generate significant insight and is a necessary part of research and intelligence gathering for any company involved in the mobile phone industry.
*This white paper was conducted independently and is not sponsored by any manufacturer or any organization.
Accompanying presentation slides located here or on www.cicdata.com
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SUMMARY OF FINDINGS
• Approximately 70% of all BBS message content covered in this white paper was created by 20% of the content creators (posters)• Community influence, as defined by message initiation, inspiration and participation, can be systematically tracked• Online mobile phone communities have their own culture and their own unique language. For example, Motorola E2 is called “e-rabbit” because the English pronunciation of “2” sounds like the Chinese pronunciation of “兔 (rabbit)”• The 18 brands and 600 models tracked for this study were mentioned in 923,295 messages; 613,371 messages mentioned 15 attributes and/or 118 sub-attributes • The top 5 brands in terms of message volume (in order, Nokia, Motorola, Sony Ericsson, Samsung and Dopod) were mentioned in 96% of all brand and product mentions• Certain models such as Nokia N-GAGE QD and Motorola e680i have long sustained buzz over many months due to certain attributes• Among product messages mentioning attributes, accessories (24%) was the most discussed, followed by software (21%) and User Posted Material (UPM) (18%)
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Definition: Consumer discussions and multi-media content related to brands, products or services on such online channels as BBS (online message boards), blogs and video sites.
BBS Blogs Video-Sharing
INTERNET WORD OF MOUTH (IWOM)
N73 Flashing system guides
Smart Phones Basic Knowledge “Design is the soul of product”
… …
Thread List
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IWOM HAS MASSIVE REACH
020406080
100120140
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
Internet Users In China (Unit-million)
3.311.2 15.0
19.6
46.250.6
2001 2002 2003 2004 2005 2006
Regular BBS User online (Unit-million)
15.8
34.7
2005 2006
Regular Blog User online (Unit-million)
*Data Source: The 19th Statistical Survey Report on the Internet Development in China by CNNIC, January 2007
• 137,000,000 Internet users in China*
• 50,553,000 BBS regular users (36.9%)*
• 34,661,000 Chinese bloggers (25.3%)*
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IWOM MAKES COMMUNICATIONS LANDSCAPE MORE COMPLEX: Consumers are gaining control
TVCBillboard
Newspaper & Magazines
Blog
BBS
Video Sharing
InfluenceShape ReshapeIWOMTM
Mainstream Media
8
IWOM HAS IMPACT: Not just for geeksIn April 2006, bloggers authored 3 out of 10 top selling books in China (Danwei)
Chinese Internet users are spending more and more time online (CNNIC)
13.7
9.8
16.9
8.5
15.9
13.213.4
Dec, 2
000
Dec, 2
001
Dec,20
02Dec
, 200
3Dec
,2004
Dec,20
05
Dec,20
06
Unit: Hour
Trend of Average Weekly Hours Spent on Internet of Chinese Netizens
3 out of the 10 most-searched people on Baidu.com are “net stars” (by June 17, 2007)
One of the world’s top blogger is Chinese (Xu Jinglei) (Technorati)
Chinese Social Networking Site QQ.com has strong traffic (Alexa)
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IMPRESSIVE IWOM NUMBERS: Almost 5 million BBS messages in CIC’s Mobile Phone Practice for Q1 2007
Data source: CIC Mobile Phone Practice, 2007 Q1
4,997,258
731,403
# of BBS Messages in Q1 # of Unique BBS Poster in Q1
Mobile Phone Related BBS Messages for Q1, 2007
Unit: Post Unit: Poster
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POSTER INFLUENCE: Top 20% of posters contribute around 70% of messages
Messages Contribution Percentage by Posters
0%10%20%
30%40%50%60%70%
80%90%
100%
0% 20% 40% 60% 80% 100%
Percentage of Posters
Perc
enta
ge o
f Pos
ts
Data Base: Total posts=4,997,258 Total unique posters=731,403
Data source: CIC Mobile Phone Practice, 2007 Q1
12
BREAKING DOWN INFLUENCE: Top posters demonstrate different types of influence.
Note: Poster rank measured by total number of posts created within a specific community
Top Poster Rank*
# of Initiated Topics
# of Unique Repliers to Initiated
Topics# of Total Replies to Others' Topics
# of Total Posted
Messages
1 317 173 3,888 4,893
2,878
2,729
2,580
2,502
2,149
2,122
9,54
8,83
7,91
2 231 91 2,300
3 78 33 2,520
4 172 59 2,214
5 243 101 2,034
6 234 88 1,591
7 225 59 1,691
8 74 21 788
9 93 32 613
10 248 93 332
… … … …
Initiation ParticipationInfluence and Participation on a Sample Tight Knit Community
Inspiration
Data source: CIC Mobile Phone Practice, 2007 Q1
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MAPPING INFLUENCE: For tighter knit communities, relationships can be mapped via replies to threads
*Each node represents number of conversations by one poster (node size related to conversations volume)
*Each line represents relationship between posters defined by replied to conversations for each respective poster (line thickness related to number of conversations)
Relationship Map of a Sample Tight Knit Community’s Top Posters
Data source: CIC Mobile Phone Practice, 2007 Q1
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SPREAD OF INFLUENCE: Top posters communicate with both experienced and “newbie” posters
Top PosterNew Comer
0
10
20
30
40
50
60
70
80
90
100
1 4 7 10 13 16 19 22 25 28 31 34 37 40 49 53 58 61 68 74 84 105
161
194
249
648
1,081
2,221
Poster Rank by the number of messages the poster posted during Q1, 2007
# of posters the top 1 poster have conversation with
Top Poster Participation Spread
Question: Do I need to download specific software to flash my E2’s system?
There are 2 different kinds of software to flash E2’s system. You can find it at this link…
Helping New Comer Sample Quote
Newbie
Top 1
Calling “sister”!
I am coming… I just get back from dinner.
Sample Quote
Familiarity with other Top Posters
Top 1
Top X
Note: Analysis within a within a specific community
Data source: CIC Mobile Phone Practice, 2007 Q1
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UNIQUE NETIZEN LANGUAGE: The existence of online culture is represented by a unique lexicon
Fans: 粉丝
make suggestions: 拍砖
Support:顶
Very: 粉
Savvy:大虾 (big shrimp)-
go to hell: 74 (去死)
Me:偶 (我)
Faint: FT(晕倒)
kissing ass: PMP (拍马屁)
No:表
Sick: BT (变态)
shame on others: BS (鄙视)
Common Net Language
Motorola: 摩记 M机 Motorola Moto Motolula 摩托 摩托罗拉 摩托骡拉
Nokia: N机 N记 诺鸡鸭 諾基亞 偌机 挪积压NO积压 诺基亚 Nokia 诺记 诺机
ROKR E2: E2 兔子 E兔 小兔 一兔 伊兔
Nokia 5300: 5300 N5300 小5 小3
Bluetooth: LY BT 蓝牙 兰牙 蓝芽 蓝鸭 篮牙
Mobile Phone Net Language
E兔 (E-Rabbit)=E2: the English pronunciation of “2” sounds like the Chinese pronunciation of “兔(rabbit)”
LY=Blue Tooth: since the Chinese pronunciation of Blue Tooth is “Lan Ya”, many netizens use the initials of Lan Ya to represent Blue Tooth (similar to BT for Bluetooth)
Sample Explanations
Data source: CIC Mobile Phone Practice, 2007 Q1
17
867
979
1,231
1,719
2,486
2,808
3,826
5,859
7,816
8,697
9,196
9,669
12,643
42,235
100,003
118,443
329,999
649,014
Haier
Daxian
TCL
HP
Bird
NEC
BENQ
Palm
Siemens
LG
Philips
Amoi
Lenovo
Dopod
Samsung
Sony Ericsson
Motorola
Nokia
Top 5 Brands Messages=886,440Total Brands Messages=923,295
96%
Brand Messages in Q1, 2007
TOP 5 BRANDS DOMINATE OVERALL BUZZ: Nokia, Motorola, Sony Ericsson, Samsung and Dopod account for 96% of the buzz
Note: Brand buzz includes number of messages mentioning brand and/or its models. CIC tracked 600 models from 18 manufacturers
Unit: Post
Data source: CIC Mobile Phone Practice, 2007 Q1
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TOP 2 BRANDS DOMINATE MODEL BUZZ: Nokia and Moto account for 19 out of 20 top in model buzz volume
Rank Model Launch Date
Messages Mentioning Rank Model Launch
Date
09/2006 01/2007
02/2006
11/2004
10/2006
12/2005
03/2006
10/2006
05/2005
10/2004
12/2004
03/2006
10/2005
06/2006
04/2005
07/2006
07/2006
07/2004
03/2005
11/2006
Messages Mentioning
1 Nokia N73 69,601 11 Nokia 6300 20,329
2 Motorola E770 44,307 12 Motorola A1200 18,256
3 Nokia N70 43,885 13 Nokia N-GAGE QD 18,015
4 Motorola ROKR E2 36,834 14 Nokia E50 17,579
5 Motorola E680i 34,236 15 Motorola SLVR L7 17,416
6 Nokia N72 33,783 16 Nokia 3250 16,606
7 Nokia 6233 27,920 17 Nokia 5300 15,923
8 Nokia 7610 21,038 18 Sony Ericsson K750c 14,521
9 Nokia 3230 20,980 19 Motorola V3 13,804
10 Motorola ROKR E6 20,796 20 Nokia 6630 13,544
Model Buzz Volume in Q1, 2007
Note: Model Ranks are based on the No. of messages mentioning the models. Higher rank means more messages
Unit: Post
Data source: CIC Mobile Phone Practice, 2007 Q1
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SOME MODELS HAVE LONG, SUSTAINED BUZZ: Certain attributes account for this sustained buzz
Note: Model Ranks are based on the No. of messages mentioning the models. Higher rank means more messages
Models Q1-2006 Q2-2006 Q3-2006 Q4-2006 Q1-2007
Nokia N70 4 1 1 1 3
Motorola E680i 11 9 16 10 5
Nokia 7610 3 6 10 5 8
Motorola A1200 30 18 12 13 12
Nokia N-Gage QD 5 2 2 8 13
Motorola L7 20 15 9 13 15
Sony Ericsson K750c 2 5 11 11 18
Motorola V3 6 4 15 12 19
Nokia 6630 9 8 3 9 20
Buzz Volume Rank by Quarter
Data source: CIC Mobile Phone Practice, 2007 Q1
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HOT MODEL PRE-LAUNCH BUZZ: Hot models often have pre-launch buzz inspired by professional review articles
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
Aug-06 Sep-06 Oct-06 Nov-06 Dec-06 Jan-07 Feb-07 Mar-07Buz
z In
cide
nce
of T
otal
Bra
nd a
nd p
rodu
ct M
essa
ges
Motorola ROKR E6 Nokia 5300 Nokia 6300 Nokia E50
Nokia 6300 Official Launch
Motorola E6 Official Launch
Nokia 5300/E50 Official Launch
Trend of Model Buzz Incidence
Data source: CIC Mobile Phone Practice, 2007 Q1
Note: Model Buzz incidence is the percentage of the models messages in all brand and product messages
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Data Base: Total Brand and Product Messages=923,295
Attributes Buzz Volume for All Products
2%
3%
3%
4%
6%
8%
8%
10%
10%
12%
15%
18%
21%
24%
1%Network Type
Carrier
Internet & Mobility
Mobile Type
Customer Service
Design
Data transmission
Operating System
Business Functions
Sales Channels
Performance
Entertainment Functions
UPM
Software
Accessories
ACCESSORIES, SOFTWARE AND UPM TOP ATTRIBUTES: Buzz focuses on content and accessories
(Buzz Incidence of Total Brand and Product Messages)
User Posted Material (UPM): includes applications, game, music, video, ring tones and other elements created, published and/or republished by consumers
Data source: CIC Mobile Phone Practice, 2007 Q1
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CONTENT AND ACCESSORIES TOPS FOR TOP BRANDS:Accessories, Software and UPM are key for top brands
Brand Nokia Motorola Samsung Sony Ericsson Dopod
Accessories 15.78% 18.26% 19.36% 12.83% 12.85%
Software 14.76% 17.17% 11.41% 11.48% 11.43%
UPM 12.03% 16.29% 9.64% 10.96% 9.27%
Entertainment Functions 10.87% 10.19% 8.80% 14.05% 9.13%
Performance 7.76% 8.52% 9.08% 7.73% 8.58%
Sales Channels 7.66% 4.62% 12.59% 6.35% 6.43%
Business Functions 6.44% 7.58% 8.80% 5.82% 7.14%
Operating System 7.93% 4.40% 2.32% 1.82% 6.70%
Data transmission 4.64% 6.25% 8.31% 4.39% 6.31%
Design 4.15% 3.47% 6.13% 3.89% 2.99%
Customer Service 2.40% 2.23% 2.61% 2.72% 1.98%
Mobile Type 2.66% 1.65% 2.44% 2.40% 5.16%
Internet & Mobility 1.85% 2.13% 2.53% 1.60% 2.08%
Carrier 0.88% 1.95% 0.87% 1.13% 1.88%
Network Type 1.06% 0.82% 1.62% 0.89% 1.67%
Buzz Incidence of Each Topic by Brand in Q1, 2007
Data source: CIC Mobile Phone Practice, 2007 Q1
Note: Each Attribute Buzz Incidence by Brand is the percentage of each attribute messages among brand and product messages
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APPLICATIONS TOP UPM MESSAGES: Applications, themes, e-Books, and Users Guides are top UPM topics
UPM Discussion Percentage by Topic
2%2% 2%1%1%1%
3%
5%
8%
17%
58%
Applications
Themes
e-Books
User Guides
Games
Hacking System
Videos
Picture
Ringtone
Music
Map
Turn on/off Animations
Animations
MTV
Advertisements
Applications
Themes
e-Books
User Guides
Game
Data Base: Total UPM Messages=193,730
Data source: CIC Mobile Phone Practice, 2007 Q1
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SAMPLE UPM TOPICS: What drives UPM discussion?
Category Subject Reply No.
Application Smart Movie has new version now: Smart Movie v3.21 Chinese Version 23,925
Themes How to select, install and uninstall the themes on Nokia N73 12,324
e-Books Share my self-written e-books. Absolutely enjoyable, and always updated 4,526
Guides The most detailed guides for A1200 Telnet with supporting pictures. 1,200
Game The most classic action game - GunFever 1,112
Data source: CIC Mobile Phone Practice, 2007 Q1
UPM Threads with Most Replies in Q1, 2007
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SAMPLE QUOTES: Different angles for UPM conversations
Before downloading and implementing the theme, do check if the theme is designed for N73:
1. If the theme is not designed for N73, please do not use it in case bad display or some unknown errors2. Some themes are not practically useful, for example, the stand-by picture is beautiful, but the fonts on function list, SMS are too blurry to read3. Be careful about the size of the theme, if it is bigger than 1M, it will really affect your phone’s speed.…
How to select, install and uninstall the themes on Nokia N73
The post is a great reference for me to learn something about this, thanks for sharing!
To supplement this info: right now, according to some crazy theme fans’tests, Nokia 73 can have 26 themes at most. And it is suggested to install the official theme on driver C while installing netizen created themes on driver E
WOW. Such a long conversation…this is incredible
General Reply
Specific Reply
Guan Shui
Data source: CIC Mobile Phone Practice, 2007 Q1
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EXECUTIVE SUMMARY (1)
IWOM IS POWERFUL: IWOM via blogs, BBS, and online video sharing channels has great reach and influence among consumers in China
MOBILE IWOM IS IMPRESSIVE:IWOM’s reach for the mobile phone category is represented by 4,997,258 messages written by 731,403 unique users identified for time period January 1 through March 31, 2007
MOBILE IWOM COMMUNITY IS COMPLEX: The complexity, depth of influence, and relationships within online mobile phone communities can be quantitatively tracked and mapped for deeper understanding
IWOM IS MEDIA AND RESEARCH:IWOM is important to marketers because it both influences as a more credible media while at the same time is reflective of consumer sentiment
HANDLE IWOM WITH CARE: Opinions are being expressed within a community context which has networks, leaders, and a unique language. Marketers need to fully understand this culture before implementing online community marketing or “buzz tactics”
IWOM FOR CONSUMER INSIGHT:IWOM represents naturally occurring (i.e. unsolicited) expressions of opinions, experiences, and ideas around mobile phones from some of the most informed, connected and influential consumers. Systematic analysis of IWOM is a necessary element of research and intelligence gathering.
Finding Implication
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EXECUTIVE SUMMARY (2)
TOP BRANDS DOMINATE: The top 5 brands in terms of buzz volume were mentioned in 96% of all brand and product messages, while the top 2 brands provide 19 out of the top 20 most buzzed models
SOME OLDER MODELS ARE TOPS IN BUZZ: Some of the models with the most buzz, for example Nokia N-GAGE QD, are older and / or not big sellers, suggesting that understanding what makes a phone “buzz worthy” is complex
USERS IN CONTROL: In addition to functional attributes like accessories and software, User Generated Content (UGC) accounts for high buzz volume within all product messages
BE PROLIFIC OR DIFFERENTIATE:Brands should seek to identify unique selling points based on community needs in order differentiate.
USERS TALK ABOUT USING: The fact that there is high buzz volume about using the phone and making the phone useful and fun should inform marketing communication and support programs (i.e. Moto music). The fact that consumers want content in their own way on their own terms should not be ignored.
PHONES WITH SUSTAINED BUZZ ARE WORTH UNDERSTANDING: Systematic analysis of the attributes which contribute to overall sustained buzz can improve marketing communication as well as product development program
Finding Implication
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ABOUT CIC
CIC is the leading Internet Word of Mouth (IWOM) research and consulting firm in China. CIC helps its clients make sense of the buzz found on Chinese blogs, BBS forums, and other IWOM channels using proprietary text mining technology developed specifically for the Chinese language.
With sensitivity toward marketing, market research, media planning, public relations, and product development, CIC’s team of IWOM analysts provide actionable insights for a stable of Fortune 500 retainer clients in China and around the world.
CIC was founded in 2003 by a team of local and international professionals with experience in the Chinese public relations, market research, and brand consulting industries. Visit www.cicdata.com or www.seeisee.com for more information.
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UNMATCHED IWOM EXPERIENCE
EXPERT ANALYSTS
CIC IS AN IWOM RESEARCH AND CONSULTING FIRM:Our analysts use proprietary technology to help clients make sense of the buzz
PROPRIETARY TECHNOLOGY
Using proprietary technology, CIC tracks tens of millions of IWOM messages every month on BBS and blog to tell you how much talk there is, who’s talking, where they are talking, and if the talk is good or bad. Most importantly, our analysts tell you what it all means and what you can/should do about it.
Thank You
OUR BLOGS:www.seeisee.com (Chinese)www.seeisee.com/sam (English)
OUR WEBSITE:www.cicdata.com
CONTACT US:[email protected]