JuxtConsult India Online 2007 Local Language Content Users Report

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India Online 2007

Local Language Content Users Report

Table of Content India Online 2007 ......................................................... 1 India Online 2007 Reports............................................... 3 Methodology............................................................... 5 Executive Summary .....................................................10 Key Findings ..............................................................12 Detail Findings Popularity of the Activity ..............................................23 Local Language Content Specific Usage .............................24 Demographic Profile of Local Language Content Users ...........28 Socio-Economic Profile .................................................35 Economic Profile.........................................................40 Net Usage Status.........................................................45 Net Usage Dynamics.....................................................51 Preferred Net Activities ................................................65 Most Used Websites .....................................................78 Most Used Offline Media Brands.......................................97 Response to Online Marketing Stimuli.............................. 101 Offline Brands Recalled .............................................. 102 Segment Wise Detailed Tables ...................................... 103 Appendix ................................................................ 162

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India Online 2007 The India Online 2007 study is not just an annual update over the previous year's India Online 2006 study but rather a continuation of JuxtConsult’s efforts to keep improving the quality of the study every year. The improvements made in the study this year not only involve further strengthening of the research methodology but also enhancing the coverage of the information, especially in the emerging areas of internet usage in the country like blogging, social networking and language website usage. Accordingly the India Online 2007 set of reports will not only provide you the most recent estimates on the Internet user-ship, its growth and penetration in India but will also give you an 'insightful' understanding of the current net usage behavior and preferences of various kinds of online Indians. Like in the year 2006, JuxtConsult conducted two large-scale 'primary' surveys, one offline and one online to complete the study this year as well. However, the sample size for the 'land' survey (which is used to estimate the size of internet using population in urban India) was almost doubled this year to further improve the coverage among the various population strata in urban India. The land survey, conducted during April 2007, covered 10,000 households across 31 cities of various sizes across all the four regions of the country. The 'online' survey was conducted among 3 of the most popular and generic portals in Indian with the focus on capturing the in-depth net usage behaviors and preferences of online Indians. This survey was conducted by JuxtConsult between April-May 2007 and over 14,200 in-depth and usable responses were collected and analyzed for final reporting. There is one key difference in the study this year compared to the last year. To make our findings more representative of the entire urban online population and not just the Internet users who are more likely to respond to online surveys, this year we have ‘linked’ the findings of our online survey with the findings of our land survey. This was done by deriving appropriate individual level ‘weights’ for Internet users from the land survey and then applying them to the data of the online survey. The key information included in the various reports cover the demographic and socio-economic profiles of the net users, their ownership of household assets, the source and place of their access to internet, net usage dynamics, preferred online activities, website preferences for over 20 key online activities, online buying behavior and spends, response to online marketing stimuli, offline media preferences, and much more.

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In sum, what you get in India Online 2007 you are unlikely to get elsewhere:

Highly credible latest estimate of internet using population in urban India

Key insights on various aspects of internet usage in India An understanding of online Indians as 'consumers' and not just as

faceless net users How to reach these online consumers on the net, as well as through

the offline mediums Preferred 'user shares' of key online brands in 21 different online

activity categories

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India Online 2007 Reports Main Report

Overall Status and Usage of Internet in India

User Segment Supplementary Reports

Women on the net Youth on the net (teenagers and young adults) Net users by their socio-economic (SEC) profile Students on the net Corporate employees on the net IT professionals on the net Heavy Online Spenders on the net Bloggers on the net Car owners on the net Two-wheeler owners on the net Mobile phone owners on the net Credit card owners on the net Net users by place of access (homes, place of work, cyber cafes) Net users by type of connection (broadband, dial-up) Net users by town population size (10 lakhs plus, 5-10 lakhs, 1-5

lakhs, Below 1 lakh) Net users by town market size (metros, urban uptowns, emerging

towns, others) Net users as financial investors Vernacular language net users

Category Supplementary Reports: (comparative profiling of top 5 websites)

Online shopping Emailing Job search Matrimony Info search - English Info Search - Local language Online travel Social networking/communities Friendship / dating Online news Financial info/news Online share trading Cinema content Sports content


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Online music Online games Online real estate Mobile content download Astrology Online learning/education

Note - All supplement reports are subject to sufficiency of sample responses. Demographic segment wise details by gender, age, SEC classification, region and place of net access are included in each of the reports as appendix tables.

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Methodology In order to derive highly robust and authentic estimates of the current user-ship of Internet in India, and draw out a truly representative internet usage behavior patterns, we at JuxtConsult keep improving and refining our research methodology for the India Online study every year. In 2007, we have again brought in two significant improvements:

We have increased our land survey sample base to 10,000 (from 5,500 last year) and the coverage of the number of cities to 31 (from 21 last year). The distribution of these 31 cities continues to be well spread across the 4 regions of the country. But more importantly, in terms of coverage of towns by their population size, we dug deeper this year and covered all town classes that have population of 20,000 individuals and above.

Further, to better capture the internet usage across all types of

socio-economic classes (SEC) in urban Indian, we allocated equal sample quota among the 5 broad socio-economic classes A, B, C, D and E across various zones within a town, and then across the town classes and regions. To correct for and put back the real representation of the socio-economic classes (and not equal representation) during the data processing stage, we incorporated the appropriate SEC 'weights' derived from the actual urban population statistics from authentic govt. Sources (National Sample Survey Organization and Census of India).

These two refinements in the sampling methodology ensured that this year we get an even better representation of various types of internet users in urban India. Like last year, this year again we conducted both a land survey and an online survey separately, with the focus of the land survey being on estimating the size of the internet using population in urban India, and that of the online survey on capturing the net usage behavior and preference patterns. The two surveys had some common questions on demographic profiles and net usage behavior to help us link up the two sets of data at the processing stage.

The Land Survey

The objective of the land survey was two fold. First, to help us estimate the internet user-ship in urban India, as with a land survey we could cover both the user and non-user population of the internet in a representative way. The other objective was to derive relevant demographic 'multipliers' from this survey which could then be applied to the internet usage data collected in the online survey. The use of these 'individual' level multipliers helped us make the online survey findings 'representative' of the entire urban online population and not just of those who are more likely to fill up an online surveys (because of factors like convenience of access, regularity of usage,


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attractiveness of the incentive prize offered for filling the survey, etc.). The land survey undertaken this year was again a household level survey across 10,000 households in 31 cities spread across all regions of India. The survey was conducted and completed between mid-April to early-May 2007. Care was taken that all relevant classes of towns with population size of over 20,000 individuals were covered and surveyed across each of the 4 regions of the country. Within a city, 5 geographical locations were chosen, one each in the north, south, east, west and central parts of the city. From each location within a city an equal number of households from the five socio-economic classes A, B, C, D, and E were surveyed. The cities where the land surveys were conducted and the size of the sample data collected from each of these cities are as follows: Table 1: Detailed Sample Base Distribution of the Land Survey

Region City/ Town City Class Sample Size City Class

Delhi 10 lakh + 401 10 lakh +

Kanpur (UP) 10 lakh + 297 10 lakh +

Ludhiana (Pun) 10 lakh + 302 10 lakh +

Patna (Bih) 10 lakh + 303 10 lakh +

Allahabad (UP) 5 lakh – 10 lakh 298 10 lakh +

Ajmer (UP) 1 lakh – 5 lakh 314 10 lakh +

Bhadohi (UP) 50 K – 1 lakh 299 5 lakh - 10 lakh

Muradnagar (UP) 50 K – 1 lakh 300 5 lakh - 10 lakh

North

Sohna (Har) 20 K – 50 K 307 5 lakh - 10 lakh

Mumbai (Mah) 10 lakh + 399 5 lakh - 10 lakh

Ahmedabad (Guj) 10 lakh + 404 5 lakh - 10 lakh

Pune (Mah) 10 lakh + 300 5 lakh - 10 lakh

Rajkot (Guj) 5 lakh - 10 lakh 301 1 lakh – 5 lakh

Dewas (MP) 1 lakh - 5 lakh 303 1 lakh – 5 lakh

Hinganghat (Mah) 50 K - 1 lakh 307 1 lakh – 5 lakh

Mhowgaon (MP) 20 K - 50 K 296 1 lakh – 5 lakh

West

Katol (Mah) 20 K - 50 K 276 1 lakh – 5 lakh

Kolkata (WB) 10 lakh + 398 1 lakh – 5 lakh

Guwahati (Ass) 5 lakh – 10 lakh 299 50 K – 1 lakh

Bhubneshwar (Ori) 5 lakh – 10 lakh 303 50 K – 1 lakh

Raniganj (WB) 1 lakh – 5 lakh 300 50 K – 1 lakh

Bhatapara (Chat) 50 K – 1 lakh 252 50 K – 1 lakh

East

Champa (Chat) 20 K – 50 K 292 50 K – 1 lakh

Chennai (TN) 10 lakh + 407 50 K – 1 lakh

Bangalore (Kar) 10 lakh + 406 20 K - 50 K

Hyderabad (AP) 10 lakh + 410 20 K - 50 K

Mysore (Kar) 5 lakh – 10 lakh 329 20 K - 50 K

Kozhikode (Ker) 1 lakh – 5 lakh 300 20 K - 50 K

Nellore (AP) 1 lakh – 5 lakh 300 20 K - 50 K

Cheruvannur (Ker) 50 K – 1 lakh 294 20 K - 50 K

South

Edapaddi (TN) 20 K – 50 K 305 20 K - 50 K

Total (31) - - 10002 Total (31)

Base: 9,999

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To check for both the 'regular' as well as 'occasional' usage of the Internet, at each of the 10,000 households contacted it was queried:

If any member of the household use the Internet 'at all' from anywhere (home or any location outside)? And

If any member of the household use the Internet ‘at least once a

month’ from anywhere (home or any location outside)?

Some further questions related to the specifics of demographic profile of the head of the household, their knowledge of English, computer usage, and asset ownership of the household were also asked from the respondent. The usage of computer and Internet was separately checked for each member of the household from the respondent. The above information about the head of the household, especially their education and occupation profile (thereby identifying their socio-economic or SEC classification) together with the town size class and region were used to link up to the similar authentic Government of India data to estimate the Internet user-ship as well as to generate the appropriate 'multipliers' that were to be applied to the data collected from the online survey.

The Online Survey

The online survey was used to collect the in-depth information on internet usage patterns and other media usage patterns among the various types of net users. This was done through a 'large-scale' online survey conducted between end-April to mid-May 2007 among the users of three of the biggest and most generic portals in India, namely Yahoo, Rediff and Google. On one end, the email properties of Yahoo, Rediff and Google (Gmail) were used through online survey campaigns to target the widest possible base on internet users in a random manner and collect responses (as these three email portals together cover almost all email users with a personal email id in the country). At the same time, to cover for whatever may have got missed out in these survey campaigns on email portals, a parallel 'contextual search' based survey ad campaign was run using Google AdSense. All the survey campaigns were paid for and officially run by these portals among their users. The overall online survey campaign used a combination of banner ads, e-mailers and contextual search ads through these portals. The online survey was conducted using an e-questionnaire segmented into three sections. The questionnaire was pre-tested and timed to take approximately 15-20 minutes for a respondent to complete depending on the speed of comprehension and answering of the questions. The questionnaire was structured and designed to reduce the level of 'respondent fatigue' to an extent that was practically possible.


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In this year's study, the information area coverage (in the online questionnaire) was also enhanced and fine tuned somewhat to keep abreast with the changing and evolving Indian online space:

The net usage behavior and preferences of new phenomena like blogging, social networking and language content checking were included.

In terms of capturing website preferences, 6 more online activity

categories were included this year to take their coverage to 21. The new categories added were instant messaging, real estate, online info search engine in local languages, astrology, online share trading and online learning/education.

The question about 'blogging' was fine tuned to segregate usage

behavior between only reading blogs, posting comments on blogs and having a blog site of one's own.

In the online questionnaire, a response format of 'clicking' a single or multiple options among the various given options was used for most questions. For each of these questions it was also possible for a respondent to answer 'none' or 'any other'. However, wherever the respondents were asked to give preferences for websites or brand names, only a text box was provided for them to type the name on their own (or type 'none' if not applicable). This was done to ensure that all such recall and actual usage preference responses were solicited 'unprompted'. Further, to enlist complete and sincere responses, an incentive of a significant cash prize was also announced for one selected respondent to be given at the end of the survey. Over 26,000 unduplicated and clean responses were collected from the online survey campaign in about 31/2 weeks time. Of these, all 26,000 responses were complete on user profiles and their net usage behavior information. Around 14,200 responses were complete in all aspects, including various online activities undertaken and website preferences. Thus, the responses from the three sections of the online survey have different valid sample bases and have been reported accordingly. All the usable responses after data cleaning were then collated, crosschecked and processed for tabulation and analysis. While doing the tabulation, any errors and spelling mistakes in typing of the brand names, etc. By the respondents were carefully checked and corrected. Finally, the appropriate weights (multipliers) as derived from the land survey were incorporated into the usable online survey responses to make them more 'representative' of the entire urban online population. Further, for questions that asked for preferred websites names, to remove the possible 'source' bias towards any specific generic portal among the three generic portals used, an 'equalization' correction factor was also incorporated.

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The net result was the compilation of the latest, highly authentic and representative database on the Internet habits and website preferences of online Indians. This database was then used for making 'insightful' analysis and conclusions as contained in the various reports of the India Online 2007 study. Last but not least, in this year's reports we have brought in the presentation of the 'changes' in the usage behavior and preferences vis-à-vis the last year. Wherever relevant, these changes have been presented graphically along with all the current year's data charts, graphs and tables. Note - Because of a deeper and more robust coverage of internet usage among the smaller towns (down to 20,000 population town classes), and among all the socio-economic classes in this year's land survey, there is likely to be an element of 'correction' seen in this year's data (as compared to the previous year's). These corrections are likely to be more visible in some of the demographic, socio-economic and economic profile of online Indians. The correction factor may also apply, though assumedly not to the same degree, to the current year's data on net usage behavior and website preferences.


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Executive Summary There is a huge ‘mismatch’ between potential demand and supply of local language content. Against 60% of all regular online Indians ‘preferring’ to read in local Indian languages, only 12% actually check local language content online. It indicates low overall ‘relevance’ and ‘value’ of the existing local language content on the net. The yawning gap is largely because of the absence of ‘language’ equivalents of popular online content areas like job search, email and IM, info search, online travel booking, shopping, music, e-greetings, social networking / dating / matrimonial search, etc. However, as 1 in 3 local language content user indicates ‘English’ as their most preferred language of reading, it appears that the existing online local language content is satisfying some ‘additional content’ needs of even those who can possibly check all kinds of online content in English anyways. And this need largely appears to be in the area of ‘local news’, as at least 40% of the preferred usage of local language websites fall in the genre of ‘regional news’. The current local language content user base is coming significantly more from South India. South Indians comprise almost 52% of the entire segment user base (against a much lower 40% share among all Internet users). At the language level, Tamil tops in the usage of local language web content (along with Hindi) with 19% usage share. Local language content users do not necessarily come more from smaller towns. Their distribution across town classes follows the overall trend for Internet users. Metros and urban uptowns account for over 52% of this segment, while emerging and smaller towns account for the balance 48%. The demographic profile of the local language content user varies subtly from the regular Internet user. The overall ‘caricature’ that emerges is of a slightly older, better educated, upper/middle class Internet user who is the head of the household more often than not. They are the more ‘seasoned’ internet users. 73% of the local language content users have over 2 years of Internet usage experience (against 63% among all internet users). They are not only the more ‘frequent’ users of the net but also show noticeably higher proportions of ‘heavy’ internet users amongst them (those who are online for over 2 hours per day). They ‘search’ and ‘check’ information on the net significantly more. Compared to all internet users, local language content users search and check ‘personal interest’ information significantly more. Online activities such as checking sports, news, real estate info, social

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networking and instant messaging are relatively more popular among them. However, it is the availability of ‘interactive’ online content (like emailing, messaging/chatting, social networking /communities and blogging) in local languages that is more likely to open the ‘floodgates’ for sizeable usage of online local language content in India. Local language content users are relatively more ‘responsive’ to online marketing stimuli. Over 4-in-5 local language content users (81%) have responded to at least one online marketing stimulus (against 73% of all internet users). Google has a relatively stronger standing in this segment. Google has a strong grip on this online segment with leadership position at not only the overall website salience and usage level, but also for 8 of the popular online activities. In comparison, Yahoo leads only in 5 categories (against 7 categories that it leads among the overall net user level).


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Key Findings There is a huge ‘mismatch’ between potential demand and supply of online local language content While 60% of all regular online Indians say that they ‘prefer’ to read in local Indian languages and not English, only 12% of all regular online Indians actually check local language content online. In number terms it means that on a ‘potential base’ of almost 15 million, only 3 million online Indians check local language content on the net. It clearly indicates that though there is a huge potential that a ‘sitting’ existing online Indians user base offers, the ground level conversion is an abysmal 20% (3 out of 15 million). And as the balance 12 million are already on the net (and most on a daily basis), checking English content despite being relatively less comfortable doing so, the dearth and low ‘relevance’ and ‘value’ of the existing local language content stares point-blank on the online content provider’s face. It appears that the local language preferring online Indians still await the popular (and may be more relevant) online content like job search, email and IM, info search, online travel booking, shopping, music, e-greetings, social networking / dating / matrimonial search, etc. to ‘happen’ in their language some day. Ironically, the lack of ‘interactivity’ of this ‘interactive’ medium in local Indian languages, if not corrected in time, may prove to be its nemesis in the soon-to-be most populous country in the world. Further, a careful look at the popular ‘websites’ that are being used to check local language content currently also reveal this lacuna. Other than the top 3 generic portals which have some multi-lingual content (Google, Yahoo and Rediff), most of the other popular websites come from the genre of online versions of ‘regional news media’. While 40% of local language content users cite these ‘e-news portals’ as their most preferred local language website, only 22% cite the 3 above mentioned generic portals.

_______________________________________ 1 Though the usage of language content on the net was also checked in the 2006 survey, it was done as a single question as one among the various online activities undertaken by the online Indians. In contrast, the possible usage of language content, and the preferred websites to do so, was probed more deeply this year. Due to somewhat different phrasing of the questions in the two years, the responses got also differ noticeably. We have therefore, avoided to compare the language content usage this year vis-à-vis the last year as it would not be appropriate to do so.

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Finally, a look at the wish list of the ‘desired’ online content in local Indian language among both the existing and prospective users also indicates the huge potential (and the opportunity in waiting) for those who may wish to take a lead in this direction: Table 2: Desired online activities in Indian languages

Online activities desired in Local Indian Languages

Existing Local Language

Content Users

All Internet

Users Sample Base 1,388 14,253 Email 71% 61% Chatting 50% 46% Entertainment 58% 45% Search information 45% 33% Online news 51% 31% Online learning / education 37% 31% Astrology 29% 23% Online shopping 22% 18% Travel related information 24% 16% Matrimony 18% 13% Blogs 18% 12% Not Interested in any of these activities

7% 21%

The demand for local language content is ‘stronger’ among the online South Indians Over 1-in-2 local language content users (52%) belong to South India which is significantly higher than the share of this region among all Internet users (40%). On the other hand, North and East zones online Indians have a below average representation in the usage of local language content online. Table 3: Regional distribution of local languages content users

Regions Existing Local Language

Content Users

All Internet Users

Sample Base

1,388 14,253

North 15% 22% East 7% 12% South 52% 40% West 26% 26%

The cities accounting for the bulk of this ‘southern skew’ in the user base of local language content are Chennai, Bangalore, Hyderabad and some mid-level and smaller southern towns such as Coimbatore, Thiruvananthapuram, Kochi, etc.


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The southern skew in demand of local language web content is also reflected in the popularity of the ‘languages’ in which the content is sought. Tamil tops the chart (along with Hindi) with 19% usage share. Table 4: Popularity of ‘languages’ in the usage of local language content (Top 10)

Language % of Local Language

Content Users

% of Preferred Language of

Reading Sample Base

1,388 1,388

Tamil 19% 13% Hindi 19% 13% Malayalam 15% 8% Telugu 13% 9% Marathi 12% 8% Kannada 6% 5% Bengali 6% 4% Gujarati 3% 2% Oriya 1% 1% Konkani 1% 0%

An interesting observation is that 1 in 3 of the local language content users (34%) are those who’s most preferred language of reading is ‘English’. Obviously then, the existing online local language content is satisfying some ‘additional content’ need of those who can check all possible content in English anyways. Local language content users do not necessarily come more from the smaller towns Though one would expect local language content users to come more from the smaller towns, it is not so. In fact, their distribution across various town classes (by market size) follows the overall trend for Internet users. Metros and urban uptowns account for over 52% of this segment, while emerging and smaller towns account for the balance 48%.

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Table 5: Distribution of local languages content users by Town Class

Town Class (by market size)

Local Language

Content Users

All Internet

Users

Sample Base 1,388 14,253 Metro 38% 37% Urban uptowns

14% 14%

Emerging Towns

18% 16%

Others 30% 33%

The demographic and socio-economic profile of local language content users varies in subtle nuances from all Internet users:

They are relatively older. 25-45 yr olds constitute 57% of the segment as against 49% among all Internet users – this also explains the higher employment status among this segment.

Given the ‘older male’ demographic characteristic of the local language content user, the proportion of ‘head’ of households is also notably higher among them at 56% compared to 47% among all Internet users.

A slightly higher proportion of this segment is employed in the IT/ Software sector (27% versus 18% among all Internet users).

The affluence levels appear to be a shade lower among local language content users – proportion with MHI (Monthly Household Income) of Rs 50,000+ is 11% versus 13% among all Internet users. Household Durables ownership is also just marginally lower.

Interestingly, while the SEC distribution reveals a larger SEC ‘C’ base among this segment (29% versus 23% among all) – the share of lower secs (D and E) is below average.

This segment also has a higher share of graduate + users (71% versus 64% among all Internet users).

The overall ‘caricature’ that emerges of local language content users is of a slightly older, better educated, upper/middle class Internet user, with every second such user coming from South India. Local language content users are the relatively more ‘seasoned’ Internet users 73% of the local language content users have over 2 years of Internet experience and nearly half of them (47%) have been using the Internet for 5 years or more. Corresponding figures for all Internet users are much lower at 63% and 37% respectively. Other Internet related specifics such as place of access and type of connection follow the trend for all Internet users:

Over 4-in-5 (83%) access Internet from their place of work, followed by nearly 3-in-5 who do so at home (58%).


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Broadband remains the predominant type of connection at home (71%) and office (65%).

This segment also shows a distinctly higher share of ‘heavy’ Internet users (those who are online for over 2 hour per day). They not only a show a proportionately higher ‘duration’ of net surfing from both home and place of work but also both during the weekdays and the weekends. The proportion of ‘heavier’ net usage is higher from place of work and accordingly during weekdays. Table 6: Duration of internet surfing per usage day

Heavy Internet Users (2 hrs +)

Proportion of Local

Language Content Users

Proportion of Preferred

Language of Reading

Sample Base 1,388 14,253 From Home 27% 22% From Place of Work

34% 29%

During Weekday 49% 39% During Weekend 45% 41%

Other salient aspects of this segment’s Internet usage are:

At 60%, a higher proportion of local language content users who access the net from home do so more than once a day (against 51% of all net users). While the proportion of daily users (87%). On the other hand, 68% of local language content users access the net more than once a day from office (against 63% of all net users).

The proportion of users who claim to access internet ‘throughout the day’ from both home and place of work is also noticeably higher among local language content users.

Local language content users undertake information ‘searching’ and ‘checking’ activities significantly more Compared to all internet users, local language content users undertake info search and check personal interest information significantly more. Personal interest activities like checking sports, news, real estate info, social networking and instant messaging are relatively more popular among them.

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Table 7: Online activities undertaken ‘relatively’ more by local language content users (Top 10)

Online Activities % of Local Language

Content Users

Undertaking

% of All Internet

Users Undertaking

Sample Base 1,388 14,253 Check sports 76% 57% Check news 79% 61% Matrimonial search 64% 48% Check financial info 61% 45% Educational / Learning material

63% 48%

Check real estate info 51% 37% Astrology 60% 46% Social networking / communities

58% 44%

Instant messaging 76% 62% Music 74% 60%

However, in absolute terms it is still the ‘usually’ more popular online activities like emailing and job search that are also the most undertaken online activities by local language content users. Table 8: Most popular online activities among the local language content users (Top 10)

Online Activities % of Local Language

Content Users Undertaking

% of All Internet Users

Undertaking

Sample Base 1,388 14,253 Emailing 96% 95% Job Search 81% 73% Check news 79% 61% Instant messaging 76% 62% Check Sports 76% 57% Music 74% 60% Online games 68% 54% E-greetings 64% 57% Mobile content (ring tones/ games)

64% 50%

Matrimonial search 64% 48% Local language content users are relatively more ‘responsive’ to online marketing stimuli than other Internet users Over 4-in-5 local language content users (81%) have responded to at least one online marketing stimulus, against a much lower 73% of all internet users having done so.


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Among the various stimuli, local language content users seem to be ‘relatively’ more responsive to sponsored search ad. 48% of them have clicked such an ad in the past as compared to only 37% of all internet users. This is in line with the fact that local language content users ‘search’ for information relatively more. However, at an absolute level, like the overall internet users, the local language content users also respond the most to ‘banner ads’ (at 52%).

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Table 9: Response to online marketing stimuli

Online Marketing Stimulus

% of Local Language

Content Users who

Clicked

% of All Internet Users who

Clicked

Sample Base 1,388 14,253 Banner ad 52% 47% Online contest 50% 43% Sponsored search ad 48% 37% Product/service e-mailer

18% 14%

None of the above 19% 27%

Google stands out as the most popular local language content website Though the language ‘e-news’ websites put together account for the ‘bulk’ of the local language website preferences, the 2 big ‘generic portals’ Google and Yahoo stand out as the most used local language content websites. Table 10: Preferred websites for checking local language content

Website % of Local Language Content Users Using the

Website Sample Base 1,388 Google 11.70% Yahoo 8.20% Malayalamanorama 7.0% Eenadu 6.80% Thinamalar 5.30% Webduniya 3.90% Marathiworld 3.70% Webulagam 3.60% Tamilcinema 3.50% Esakal 3.40% Keralakaumudi 2.80% Jagran 2.70% Rediff 2.50% Kannadaaudio 1.70% Anandabazaar 1.60% Dainikjagran 1.60% Banglalive 1.50% Mathrubhumi 1.40% Kumudam 1.30% Gujratsamachar 1.20% Amarujala 0.90% BBCHindi 0.70% Deepika 0.70%


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Vaartha 0.70% Dailythanthi 0.60% Dinakaran 0.60% Thatskannada 0.60% Epatra 0.50% Bhaskar 0.50% Maharashtratimes 0.30% Others 18.50%

In fact, Google is the most salient and most used website among the local language content users for English language content also.

Table 11: Preferred websites for checking English content

Website % of Local Language Content

Users Using the Website

% of All Internet Users Using the

Website

Sample Base 1,388 14,253 Google 33.10% 29.30% Yahoo 25.30% 26.60% Rediff 11.20% 10.90% Orkut 5.0% 7.90% Gmail 4.30% 3.90% Hotmail 1.30% 1.50% Indiatimes 0.90% 0.90% Moneycontrol 0.70% 0.50% Contest2win 0.70% 0.30% Naukri 0.60% 0.50%

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Table 12: Most popular websites for specific online activities

Online Activity Top Website % Local Language

Content Users Prefer

to Use

% All Internet Users Prefer

to Use

Sample Base 1,388 14,253 Emailing Yahoo 49% 53% Instant Messaging Yahoo 59% 63% Info Search – English Google 74% 75% Info Search – Languages

Google 58% 74%

Job Search Naukri 38% 37% Online Travel IRCTC 17% 15% Online Shopping Rediff 28% 25% Online News Yahoo 13% 14% Financial News & Info Google 18% 13% Online Share Trading ICICI Direct 34% 36% Real Estate Info Google 22% 17% Matrimonial Search* Shaadi 27% 28% Dating / Friendship Orkut 30% 36% Social Networking Orkut 60% 64% Online Games Yahoo 21% 18% Mobile Content Google 17% 10% Online Music Raaga 22% 22% Sports Content Espnstarsports 23% 29% Cinema Content Google 12% 9% Astrology Yahoo 18% 22% Online Education Google 30% 34% Blog Site Google 27% 21%

* However Bharatmatrimony leads the pack when all the sub-brands viz. Tamilmatrimony, Keralamatrimony, Hindimatrimony etc. clubbed together with 32% among the Local language content users. The key observations that emerge from the popularity ratings of websites across specific categories are as follows:

Except for 5 categories – online shopping, matrimony, online travel, cinema and mobile content – in all other activity categories the most popularly used website by the local language content users is the same as the overall net users. In the 5 mentioned categories, at the overall net user level, Ebay, Bharatmatrimony, Makemytrip, Yahoo and Yahoo respectively are more popular.

Among the local language content users, Google strengthens its

stronghold with leadership position in 8 online categories. In comparison, Yahoo leads only in 5 categories (against 7 categories that it leads among the overall net user level).

The fall in proportionate usage of Google as the ‘most preferred

engine’ for searching local language content among this segment is largely a result of better awareness of ‘specific’ language search engines among them.


22

Detailed Findings

India Online 2007

23

Popularity of the Activity Table 13: Popularity of various internet activities

Website All Users All Users (In Millions) Emailing 95% 24.0 Job Search 73% 18.4 Instant messaging 62% 15.6 Check news 61% 15.4 Music 60% 15.1 Chatting 59% 14.9 Check Sports 57% 14.4 E-greetings 57% 14.4 Online games 54% 13.7 Dating/Friendship 51% 12.9 Mobile contents (ring tones / games, etc.)

50% 12.5

Search work related info 49% 12.3 Matrimonial search 48% 12.0 Educational / Learning material 48% 12.0 Screensavers/wallpapers 46% 11.5 Astrology 46% 11.5 Check financial info 45% 11.4 Search for product information 45% 11.2 Social networking / Communities 44% 11.0 Buy travel products 43% 10.9 Share pictures 40% 10.0 Check real estate info 37% 9.2 Check hobby related info 32% 7.9 Check business/Financial news 30% 7.6 Net banking 30% 7.6 Check health & lifestyle info 30% 7.6 Movies 29% 7.4 Check cinema content 28% 7.0 Check / read blogs 27% 6.7 Business/professional networking 26% 6.6 Check personal travel related info 26% 6.5 Buy other than travel products 24% 6.1 Look for Seminar/workshops 24% 6.0 Online bill payment 22% 5.6 Check business travel related info 19% 4.7 Adult content 18% 4.6 Online stock trading 13% 3.3 Net telephony 13% 3.2 Comment on blog post 12% 3.0 Local language website usage 12% 2.9 Have a blog site of own 7% 1.7

Base: 25,060


24

Local Language Content Specific Usage Chart 1: Vernacular language usage

Base: 14,253

Current Year

12%

88%

Use other language websitesUse only English websites

India Online 2007

25

Table 14: Most used local language (other than English)

Website Language Users All Users

Tamil 19% 19%

Hindi 19% 19%

Malayalam 15% 15%

Telugu 13% 13%

Marathi 12% 12%

Kannada 6% 6%

Bengali 6% 6%

Gujarati 3% 3%

Oriya 1% 1%

Konkani 0.8% 0.8%

Base: 1,388


26

Table 15: Most used website for checking content in other language

Activity Language Users

Google 12%

Yahoo 8%

Malayalamanorama 7%

Eeandu 7%

Thinamalar 5%

Webduniya 4%

Marathiworld 4%

Webulagam 4%

Tamilcinema 4%

Keralakaumudi 3%

Jagran 3%

Esakal 3%

Base: 1,388

India Online 2007

27

Table 16: Online activities desired in other languages

Activity Language Users All Users

Email 71% 61%

Entertainment 58% 45%

Online news 51% 31%

Chatting 50% 46%

Search information 45% 33%

Online learning / education 37% 31%

Astrology 29% 23%

Travel related information 24% 16%

Online shopping 22% 18%

Matrimony 18% 13%

Blog 18% 12%

Not Interested 7% 21%

Base: 1,388


28

Demographic Profile of Local Language Content Users Chart 2: Gender breakup

Base: 1,388

Current Year

84% 82%

16% 18%

0%

20%

40%

60%

80%

100%

Language Users All Users

Male Female

India Online 2007

29

Chart 3: Age group distribution

Base: 1,388

Current Year

7%11%

31%36%

17%13%

28%

41%

0%

15%

30%

45%


Age 13-18 years Age 19-24 yearsAge 25-35 years Age 36-45 years


30

Chart 4: City class - by population size

Base: 1,388

Current Year

12% 12%14% 15%

30% 29%

44% 45%

0%

10%

20%

30%

40%

50%


Upto 1 Lakh 1-5 Lakhs 5-10 Lakhs Above 10 Lakhs

India Online 2007

31

Chart 5: City class - by market size

Base: 1,388

Current Year38% 37%

14% 14%18%

16%

30%33%

0%

20%

40%


Metro Urban uptowns Emerging Towns Others


32

Table 17: Top 10 cities

Cities Language Users All Users

Delhi 10% 12%

Mumbai 9% 10%

Chennai 6% 4%

Bangalore 6% 6%

Hyderabad 6% 5%

Pune 3% 3%

Kolkata 3% 3%

Coimbatore 2% 0.9%

Ahmadabad 1% 2%

Thiruvanathapuram 1% 0.6%

Base: 1,388

India Online 2007

33

Chart 6: Region-wise break-ups

Base: 1,388

Current Year

52%

40%

26% 26%

15%22%

7%12%

0%

20%

40%

60%


South West North East


34

Table 18: Preferred language of reading


English 34% 41%

Hindi 13% 19%

Tamil 13% 6%

Telugu 9% 6%

Malayalam 8% 4%

Marathi 8% 5%

Kannada 5% 4%

Bengali 4% 3%

Gujarati 2% 4%

Oriya 0.7% 3%

Base: 1,388

India Online 2007

35

Socio-Economic Profile Chart 7: Socio economic classification

Base: 1,388

Current Year

25% 24%

30%32%

29%

23%

12%14%

5%7%

0%

20%

40%


SEC A SEC B SEC C SEC D SEC E


36

Chart 8: Highest educational qualification

Base: 1,388

Current Year

8%13%

21% 23%

39%

28%25%

43%

0%

10%

20%

30%

40%

50%


Up to SSC/HSCCollege but not GraduateGraduate & above - general streamGraduate & above - professional stream

India Online 2007

37

Chart 9: Occupational break up

Base: 1,388

Current Year

33%38%

67%62%

0%

20%

40%

60%

80%


Unemployed Employed


38

Chart 10: Function / field of occupation

Base: 930

Current Year

27%

18%15%19%

10% 10%

48%54%

0%

20%

40%

60%


IT/SW MARCOM Finance Others

India Online 2007

39

Chart 11: Head of the household

Base: 1,388

Current Year

56%

47%44%

53%

0%

20%

40%

60%


Head of the household Not head of the household


40

Economic Profile Chart 12: Monthly family income

Base: 1,240

Current Year

38% 38%40% 39%

10% 10%11% 13%

0%

15%

30%

45%


Upto Rs. 10K 10-30K 30-50K Above 50K

India Online 2007

41

Chart 13: Most expensive vehicle owned by the household

Base: 1,388

Current Year

46% 44%

24%28%

8% 9%

22%19%

0%

20%

40%

60%


2 Wheeler 4 Wheeler

Others Don't own a vehicle


42

Chart 14: Ownership of credit cards (individually)

Base: 1,388

Current Year

62%67%

38%34%

0%

20%

40%

60%

80%


Don't own a credit card Own a Credit Card

India Online 2007

43

Table 19: Household asset ownership

Assets Language Users All Users

Color TV 92% 92%

Mobile Phone 88% 90%

Bank Account 84% 82%

Cable TV connection/DTH 73% 72%

Fridge 73% 75%

Computer/Laptop 67% 67%

Camera 64% 64%

Life Insurance 63% 61%

Landline Phone 61% 62%

Home 56% 58%

Debit Card 55% 52%

Music System/DVD/MP3 54% 55%

Washing Machine 50% 57%

Credit Card 37% 35%

Medical Insurance/CGHS 34% 33%

Fixed Deposits 33% 34%

Mutual Funds 22% 22%

Demat Account 21% 21%

Air Conditioner 20% 25%

Microwave 20% 24%

Share of Companies 19% 20%

Video Camera 16% 20%

Chit Fund Deposits 10% 7%

IPod 8% 10%

Base: 1,388


44

Chart 15: Current loan liabilities

Base: 1,388

Current Year

42%45%

25%20%

15% 13%12% 12%11%9%

6%3%4% 4%

0%

10%

20%

30%

40%

50%


Home Loan Personal LoanTwo - wheeler Loan Car LoanEducation Loan Consumer DurablesBusiness Loan

India Online 2007

45

Net Usage Status Chart 16: Years of experience in using internet

Base: 1,388

Current Year

13%20%

14% 16%

73%

63%

0%

20%

40%

60%

80%


Up to 1 year 1-2 years More than 2 years


46

Current Year

58% 59%

83% 78%

49% 47%

6% 6%

0%

20%

40%

60%

80%

100%


HomePlace of work (office / school / college)Cyber cafeIn transit (while traveling)

Chart 17: Place of accessing internet

Base: 1,388

India Online 2007

47

Current Year

16% 16%

68%

9% 10%4% 7%

71%

0%

10%

20%

30%

40%

50%

60%

70%

80%


Regular Dial Up Broadband Others Don't Know

Chart 18: Type of internet connection at home

Base: 786


48

Current Year

7% 7%

65% 61%

14% 13%15%19%

0%

10%20%

30%

40%

50%60%

70%

80%


Regular Dial Up Broadband Others Don't Know

Chart 19: Type of internet connection at office

Base: 1,158

India Online 2007

49

Current Year

37% 35%

17% 17%

11% 10%9% 8%5% 5%5% 6%5% 6%

0%

20%

40%


BSNL/Sancharnet Airtel/BhartiVSNL / Tata Local Cable OperatorMTNL RelianceSify

Chart 20: Service provider subscribed to at home

Base: 786


50

Chart 21: Service provider subscribed to at office

Base: 1,158

Current Year

28% 28%

18%15%

13%11%

4% 5%4%6%

4% 4%3%5%

0%

10%

20%

30%


BSNL/Sancharnet Airtel/BhartiVSNL / Tata MTNLReliance Local Cable OperatorSify

India Online 2007

51

Net Usage Dynamics Chart 22: Frequency of accessing internet from home

Base: 759

Current Year87% 84%

12% 14%

2% 2%

0%

15%

30%

45%

60%

75%

90%


At least once daily Weekly, but not dailyLess than once a week


52

Current Year87% 86%

11% 11%2% 3%

0%

15%

30%

45%

60%

75%

90%


At least once daily Weekly, but not dailyLess than once a week

Chart 23: Frequency of accessing internet from office

Base: 1,060

India Online 2007

53

Current Year

9% 9%15%

20%

53% 54%

23%18%

0%

20%

40%

60%


Midnight to 9.00 AM 9.00 AM-6.00 PM6.00 PM - 12.00 Midnight Throughout the Day

Chart 24: Time of the day accessing internet from home

Base: 746


54

Chart 25: Time of the day accessing internet from office

Base: 1,062

Current Year

4% 4%

52%55%

9%12%

35%29%

0%

15%

30%

45%

60%


Midnight to 9.00 AM 9.00 AM-6.00 PM6.00 PM - 12.00 Midnight Throughout the Day

India Online 2007

55

Chart 26: Duration of PC usage from home

Base: 840

Current Year

58%67%

26%22%

16%12%

0%

10%

20%

30%

40%

50%

60%

70%

80%


Light users Medium users Heavy users


56

Current Year

36%

43%38%

35%

27%22%

0%

10%

20%

30%

40%

50%



Chart 27: Duration of internet usage from home

Base: 752

India Online 2007

57

Chart 28: Duration of PC usage vis-à-vis internet usage from home

Base: 840(PC), 752(Int.)

Current Year

26%

38%

27%

58%

16%

36%

0%

20%

40%

60%


PC Use Internet Use


58

Chart 29: Duration of PC usage from office

Base: 1,086

Current Year

25%31%

20% 22%

56%

47%

0%

20%

40%

60%



India Online 2007

59

Chart 30: Duration of internet usage from office

Base: 1,048

Current Year

39%45%

26% 26%

34%29%

0%

10%

20%

30%

40%

50%




60

Chart 31: Duration of PC vis-à-vis internet usage from office

Base: 1,086(PC), 1,048(Int.)

Current Year

25%20%

39%

26%

56%

34%

0%

20%

40%

60%


PC Use Internet Use

India Online 2007

61

Chart 32: Duration of internet usage during weekdays vis-à-vis weekends

Base: 1,234(Weekdays), 1,234(Weekends)

Current Year

16%

28%25%

17%

28%

23%

11%13%

7%

11%11%10%

0%

10%

20%

30%

Less than 30

Minutes

30 to 60

Minutes

1-2 Hours 2-5 Hours 5-8 Hours More than 8

Hours

Weekdays Weekends


62

Chart 33: Time spent by internet users on watching TV

Base: 1,209

Current Year

44% 44%42% 43%

13% 13%

0%

10%

20%

30%

40%

50%



India Online 2007

63

Chart 34: Time spent by internet users on reading newspaper

Base: 1,242

Current Year

43%46%44%

41%

14% 14%

0%

10%

20%

30%

40%

50%




64

Chart 35: Time spent by internet users on listening to radio

Base: 863

Current Year

72% 72%

20% 19%

8% 10%

0%

20%

40%

60%

80%



India Online 2007

65

Preferred Net Activities Table 20: Popularity of various internet activities

Website Language Users All Users Local language website usage 100% 12% Emailing 96% 95% Job Search 81% 73% Check news 79% 61% Instant messaging 76% 62% Check Sports 76% 57% Music 74% 60% Online games 68% 54% E-greetings 64% 57% Mobile contents (ring tones / games, etc.) 64% 50% Matrimonial search 64% 48% Educational / Learning material 63% 48% Dating/Friendship 63% 51% Chatting 62% 59% Check financial info 61% 45% Astrology 60% 46% Social networking / Communities 58% 44% Search work related info 56% 49% Check real estate info 51% 37% Search for product information 51% 45% Screensavers/wallpapers 49% 46% Buy travel products 48% 43% Share pictures 44% 40% Check / read blogs 38% 27% Check business/Financial news 37% 30% Net banking 37% 30% Check hobby related info 35% 32% Movies 34% 29% Check health & lifestyle info 33% 30% Check personal travel related info 32% 26% Check cinema content 32% 28% Business/professional networking 32% 26% Buy other than travel products 31% 24% Look for Seminar/workshops 30% 24% Online bill payment 28% 22% Adult content 21% 18% Check business travel related info 21% 19% Comment on blog post 17% 12% Online stock trading 16% 13% Net telephony 16% 13% Have a blog site of own 10% 7%

Base: 1,388


66

Chart 36: Professional activities

Base: 1,388

Current Year

83%73%

62%56%49%

37%30% 26%30% 24%21% 19%

89%81% 76%

26%*

0%

20%

40%

60%

80%

100%


Emailing - work related Job SearchInstant messaging Search work related infoCheck business/Financial news Business/prof. networkingLook for Seminar/workshops Check business travel info.

`

India Online 2007

67

Chart 37: Personal activities

Base: 1,388

Current Year

89%79%

61%

76%

57%64%

48%

63%51%

62% 59%60%

46%58%

44%51%

45%

92%

0%

20%

40%

60%

80%

100%


Emailing - personal Check newsCheck Sports Matrimonial searchDating/Friendship ChattingAstrology Social networking/communitiesSearch for product information


68

Chart 38: Downloading activities

Base: 1,388

Current Year

60%54%

50% 48% 46%

34%29%

18%

74%68% 64% 63%

49%

21%

0%

20%

40%

60%

80%


Music Online gamesMobile contents (ring tones/games) Educational / Learning materialScreensavers/wallpapers MoviesAdult content

India Online 2007

69

Chart 39: E-commerce related activities

Base: 1,378

Current Year

58%

46%37%

31%25%

30% 29%23% 23%

65%62%

52%

37%31% 28%

24%

0%

10%

20%

30%

40%

50%

60%

70%


E-greetings Check financial infoCheck real estate info Net bankingBuy non-travel products Book train ticketsOnline bill payment Book air tickets


70

Chart 40: Online shopping

Base: 1,388

Current Year

57%

43%49%51%

0%

20%

40%

60%


Non-Buyers Buyers

India Online 2007

71

Chart 41: Blogging activities

Base: 1,388

Current Year

38%

27%

17%12%10% 7%

59%

70%

0%

20%

40%

60%

80%


Check / read blogs Comment on blog postHave a blog site of own None of the above


72

Chart 42: Member of an online community

Base: 1,388

Current Year

49% 51%

41%

59%

0%

20%

40%

60%


Not a member of any online communityMember of an online community

India Online 2007

73

Table 21: Membership by type of online community

Type Of Community Language Users All Users

Not a member of any online community 49% 59%

Computers & Internet 10% 5%

Alumni & Schools 6% 7%

Romance & Relationships 5% 5%

Business / Professional community 4% 3%

Games 3% 2%

Music 3% 3%

Arts & Entertainment 2% 2%

Individuals 2% 2%

Schools & Education 2% 3%

Cultures & Community 2% 2%

Company 2% 1%

Travel 2% 0.9%

Science & History 1% 0.8%

Family & Home 0.9% 0.5%

Recreation & Sports 0.8% 0.3%

Automotive 0.7% 0.5%

Countries & Regional 0.7% 0.4%

Health, Wellness & Fitness 0.7% 0.7%

Religion & Beliefs 0.7% 0.8%

Hobbies & Crafts 0.5% 0.4%

Fashion & Beauty 0.4% 0.4%

Pets & Animals 0.3% 0.2%

Cities & Neighborhoods 0.2% 0.2%

Gay, Lesbian & Bi 0.2% 0.2%

Food, Drink & Wine 0.1% 0.1%

Government & Politics 0.1% 0.2%

Base: 1,388


74

Chart 43: Problems faced while surfing the internet

Base: 1,388

Current Year

62%

49% 49%48% 45%

29%35%

26% 27%

12% 12%

58%52% 52%

0%

10%

20%

30%

40%

50%

60%

70%


Slow website opening Virus / spywareSpam / junk mails Unsolicited ads/pop-upsDifficult to connect Lack of response to queriesCumbersome navigation

India Online 2007

75

Table 22: Preferred websites - emailing


Yahoo 49% 53%

Gmail 25% 20%

Rediff 16% 18%

Hotmail 6% 6%

Sancharnet/BSNL 2% 0.7%

Indiatimes 0.7% 0.9%

VSNL 0.6% 0.5%

Lycos 0.5% 0.2%

Sify 0.5% 1%

AOL 0.2% 0.1%

Base: 1,388


76

Chart 44: Multiple user shares of email websites

Base: 1,388

Current Year

89%

65%59%61% 57%

43%36%

21% 17%17% 13%

89%

0%

20%

40%

60%

80%

100%


Yahoo Gmail Rediff Hotmail Indiatimes Sify

India Online 2007

77

Chart 45: Number of email accounts and average per capita email ids

Base: 1,388

Current Year

11%15%

23%

28%24%

27%

21%17%

22%

14%

0%

10%

20%

30%

40%


1 email id 2 email ids3 email ids 4 email ids5 or more email ids


78

Most Used Websites Table 23: Top of mind unaided recall - all websites


Google 30% 27%

Yahoo 29% 30%

Rediff 12% 12%

Gmail 5% 3%

Orkut 3% 5%

Indiatimes 1% 1%

Hotmail 0.9% 2%

Ebay 0.6% 0.3%

Manoramaonline 0.6% 0.1%

Contest2win 0.6% 0.6%

Base: 1,364

India Online 2007

79

Table 24: Most used website - all websites


Google 33% 29%

Yahoo 25% 27%

Rediff 11% 11%

Orkut 5% 8%

Gmail 4% 4%

Hotmail 1% 2%


Moneycontrol 0.7% 0.5%


Naukri 0.6% 0.5%

Base: 1,373


80

Table 25: Info search (English)


Google 74% 75%

Yahoo 10% 10%

Rediff 3% 2%

Dictionary 2% 1%

BBC 2% 0.5%

Wikipedia 2% 1%

English 2% 3%

MSN 1% 1%

Altavista 0.8% 0.3%

Sify 0.5% 0.4%

Base: 1,012

India Online 2007

81

Table 26: Info search (local language)


Google 58% 74%

Guruji 6% 2%

Manoramaonline 4% 2%

Kerala 4% 1%

Webduniya 3% 1%

Webulagam 2% 0.8%

Eenadu 2% 1%

Khoj 2% 1%

Jagran 1% 0.5%

Chennaionline 0.3% 0.6%

Base: 633


82

Table 27: Job search


Naukri 38% 37%

Monster 24% 27%

Timesjobs 12% 14%

Google 10% 5%

Yahoo 4% 3%

Rediff 2% 2%

Jobs 1% 1%

Indiatimes 1% 1%

Jobstreet 0.9% 0.7%

Jobsahead 0.7% 1%

Base: 1,119

India Online 2007

83

Table 28: Online shopping (other than travel tickets)


Rediff 28% 25%

Ebay 28% 34%

Google 11% 8%

Yahoo 8% 7%

Indiatimes 5% 7%

Futurebazaar 4% 6%

Amazon 3% 0.9%

Sify 2% 2%

Indiaplaza 1% 1%

Shopping 0.8% 2%

Base: 889


84

Table 29: Online news


Yahoo 13% 14%

Google 11% 9%

NDTV 8% 12%

Rediff 8% 10%

Indiatimes 6% 7%


Eenadu 5% 2%

BBC 4% 5%

Jagran 3% 1%

Sify 3% 2%

Base: 1,095

India Online 2007

85

Table 30: Financial news & info (rates, quotes, etc.)


Google 18% 13%

Moneycontrol/CNBC 14% 13%

Yahoo 13% 12%

ICICI Direct/ICICI Bank 7% 7%

Rediff 6% 6%

NDTV/NDTVprofit 4% 4%

Economictimes 3% 3%

Sharekhan 3% 4%

Indiatimes 3% 4%

HDFC 2% 0.8%

Base: 823


86

Table 31: Online share trading


ICICI Direct 34% 36%

Sherkhan 21% 22%

Religare 9% 4%

Geojit 4% 2%

Kotaksecurities 3% 4%

Indiabulls 3% 7%

hdfcsec 3% 2%

5Paisa 3% 3%

NSE 2% 3%

BSE 2% 3%

Base: 185

India Online 2007

87

Table 32: Real estate info


Google 22% 17%

Yahoo 16% 14%

Realestates 9% 10%

99acres 8% 10%

Magicbricks 8% 14%

Rediff 6% 7%

Indiaproperty 5% 5%

Indiatimes 3% 2%

Property 2% 3%

Sulekha 2% 1%

Base: 693


88

Table 33: Matrimonial search


Shaadi 27% 28%

Bharatmatrimony 23% 29%

Jeevansaathi 9% 6%

Google 8% 6%

Yahoo 5% 5%

Tamilmatrimony 5% 3%

Matrimony 5% 5%

Rediff 3% 3%

Keralamatrimony 3% 0.9%

Indianmatrimony 2% 0.6%

Base: 865

India Online 2007

89

Table 34: Dating/friendship search

Website Current Year All Users

Orkut 30% 36%

Yahoo 23% 23%

Google 13% 8%

Rediff 7% 7%

Fropper 3% 3%

Adultfriendfinder 2% 2%

Indiatimes 2% 2%

Tagged 2% 1%

MSN 2% 1%

Friendfinder 1% 2%

Base: 850


90

Table 35: Social networking/communities


Orkut 60% 64%

Yahoo 23% 16%

MSN 1% 1%

Tagged 0.8% 0.4%

Communities 0.7% 1%

Myspace 0.6% 0.6%

Ryze 0.4% 0.3%

Fropper 0.4% 0.4%

Bharatstudent 0.4% 0.4%

Linkedin 0.3% 0.3%

Base: 642

India Online 2007

91

Table 36: Online gaming


Yahoo 21% 18%

Zapak 18% 17%

Google 12% 9%

Games 7% 7%

Indiagames 4% 3%

Rediff 4% 3%

Contest2Win 3% 3%

Easports 2% 1%

Miniclip 2% 4%

Onlinegames 1% 2%

Base: 895


92

Table 37: Download mobile content


Google 17% 10%

Rediff 16% 12%

Yahoo 13% 14%

Nokia 11% 9%

Indiatimes 7% 7%

Sify 4% 2%

Airtel 3% 3%

Mobile9 3% 4%

Zedge 3% 2%

Funmaza 2% 3%

Base: 859

India Online 2007

93

Table 38: Download music


Raaga 22% 22%

Google 10% 7%

Yahoo 10% 10%

Cooltoad 5% 5%

Musicindiaonline 4% 4%

Rediff 3% 3%

Youtube 3% 2%

Tamilsongs 3% 2%

Mp3 3% 3%

Music 2% 4%

Base: 980


94

Table 39: Sports content


Espnstarsports 23% 29%

Cricinfo 16% 14%

Yahoo 13% 12%

Google 11% 8%

Rediff 10% 8%

Sports 4% 4%

Indiatimes 2% 3%

NDTV 2% 2%

Sify 1% 2%

MSN 1% 1%

Base: 958

India Online 2007

95

Table 40: Cinema content


Google 12% 9%

Yahoo 9% 11%

Bollywood 6% 5%

Tamilcinemas 5% 3%

Cinema 4% 4%

Indiafm 4% 5%

Rediff 4% 5%

Santabanta 3% 3%

Indiaglitz 3% 2%

Indiatimes 3% 3%

Base: 904


96

Table 41: Preferred blog sites


Google 27% 21%

Yahoo 18% 18%

Rediff 12% 10%

Blogger 9% 11%

Ibibo 9% 10%

Youtube 7% 2%

Blogspot 7% 11%

Hi5 4% 2%

Indiatimes 2% 2%

Mylot 2% 1%

Base: 271

India Online 2007

97

Most Used Offline Media Brands Table 42: Favorite TV channels


Star Plus 9% 13%

Sun TV 8% 5%

Discovery 6% 7%

NDTV 5% 5%

Aajtak 5% 5%

Asianet 5% 1%

HBO 4% 4%

E TV 4% 1%

CNBC 4% 2%

Star Movies 3% 3%

Base: 1,263


98

Table 43: Favorite newspapers


The Times of India 23% 35%

The Hindu 22% 18%

Eenadu 4% 3%

Dinamalar 4% 1%

The Hindustan Times 4% 6%

Indian Express 3% 3%

Malyalam Manorama 3% 2%

Deccan Chronicle 2% 4%

Dainik Jagran 2% 2%

Deccan Herald 2% 1%

Base: 1,258

India Online 2007

99

Table 44: Favorite magazines


India Today 26% 23%

Reader's Digest 6% 7%

The Week 6% 5%

Ananda Vikatan 3% 1%

Outlook 3% 4%

Kumudham 3% 1%

Sports Star 3% 4%

Digit 2% 3%

Competition Success Review 2% 1%

Film Fare 2% 3%

Base: 1,113


100

Table 45: Favorite radio channels


Radio Mirchi 38% 38%

AIR 14% 11%

Red FM 11% 12%

Suryan FM 10% 6%

Radio City 7% 11%

Big FM 6% 5%

AIR FM RAINBOW 5% 4%

AIR FM GOLD 5% 5%

BBC 2% 1%

World Space 1% 2%

Base: 845

India Online 2007

101

Response to Online Marketing Stimuli Chart 46: Response to online marketing stimulus

Base: 1,134

Current Year

47%43%

48%

37%

28%23%

27%21%18%

14%19%

27%

52% 50%

0%

20%

40%

60%


Clicked a banner ad Participated in an online contestClicked a sponsored search ad Bid/Bought in an Online auctionBought in a special promotion / deal Clicked a product/service e-mailerNone of the above


102

Offline Brands Recalled Table 46: Tom recall for brands


Nokia 8% 7%

Sony 8% 8%

Tata 6% 5%

LG 5% 4%

Colgate 4% 3%

Reliance 3% 3%

Intel 3% 0.9%

HLL 3% 3%

Adidas 3% 2%

Samsung 2% 2%

Base: 1,343

India Online 2007

103

Segment Wise Detailed Tables

104

Table 1: Gender breakup

Gender Language Users All Users

Sample Base 1,388 25,060

Male 84% 82%

Female 16% 18%

Table 2: Age group distribution

Age Group Language Users All Users


Age 13-18 years 7% 11%

Age 19-24 years 28% 31%

Age 25-35 years 41% 36%

Age 36-45 years 17% 13%

Age 46-55 years 6% 6%

Above Age 55 years 2% 2%

105

Table 3: City class - by population size

City Class Language Users All Users


Upto 1 Lakh 12% 12%

1-5 Lakhs 14% 15%

5-10 Lakhs 30% 29%

Above 10 Lakhs 44% 45%

Table 4: City class - by market size

City Class Language Users All Users


Metro 38% 37%

Urban uptowns 14% 14%

Emerging Towns 18% 16%

Others 30% 33%

106

Table 5: Cities



Delhi 10% 12%

Mumbai 9% 10%

Chennai 6% 4%

Bangalore 6% 6%

Hyderabad 6% 5%

Pune 3% 3%

Kolkata 3% 3%

Coimbatore 2% 0.9%

Ahmadabad 1% 2%

Thiruvanathapuram 1% 0.6%

Kochi 0.9% 0.5%

Nagpur 0.9% 0.8%

Indore 0.8% 0.7%

Lucknow 0.8% 1%

Vijayavada 0.8% 0.5%

Bhopal 0.7% 0.6%

Nashik 0.6% 0.4%

Patna 0.6% 0.6%

Surat 0.6% 0.7%

Visakhapatanam 0.6% 0.9%

Mysore 0.6% 0.4%

Chandigarh 0.5% 0.8%

Jaipur 0.5% 0.8%

Madurai 0.5% 0.4%

Vadodara 0.5% 0.7%

Aurangabad 0.4% 0.3%

Dehradun 0.4% 0.3%

kanpur 0.4% 0.5%

Ludhiana 0.4% 0.6%

Tiruchirapalli 0.4% 0.3%

Jabalpur 0.3% 0.2%

Ranchi 0.3% 0.3%

Varanasi 0.3% 0.2%

Agra 0.1% 0.3%

Amritsar 0.1% 0.3%

Bhubaneswar 0.1% 0.5%

Cuttack 0.1% 0.4%

Faridabad 0.1% 0.6%

Goa 0.1% 0.3%

Mangalore 0.1% 0.2%

Meerut 0.1% 0.3%

Rajkot 0.1% 0.3%

Solapur 0.1% 0.1%

Allahabad 0.0% 0.4%

Assansol 0.0% 0.1%

Dhanbad 0.0% 0.1%

Guwahati 0.0% 0.3%

107

Jodhpur 0.0% 0.2%

Raipur 0.0% 0.2%

Others from North India 7% 9%

Others from South India 20% 14%

Others from East India 5% 6%

Others from West India 8% 7%

Table 6: Region-wise break-ups

Region Language Users All Users


South 52% 40%

West 26% 26%

North 15% 22%

East 7% 12%

108

Table 7: Preferred language of reading

Language Language Users All Users


English 34% 41%

Hindi 13% 19%

Tamil 13% 6%

Telugu 9% 6%

Malayalam 8% 4%

Marathi 8% 5%

Kannada 5% 4%

Bengali 4% 3%

Gujarati 2% 4%

Oriya 0.7% 3%

Urdu 0.7% 1%

Punjabi 0.5% 1%

Awadhi 0.4% 1%

Bhojpuri 0.3% 0.2%

Konkani 0.3% 0.5%

Haryanvi 0.2% 0.1%

Sanskrit 0.2% 0.1%

Assamese 0.1% 0.5%

Maithili 0.1% 0.1%

Marwari 0.1% 0.4%

Sindhi 0.1% 0.2%

Bodo 0.0% 0.0%

Bundeli 0.0% 0.0%

Chhattisgarhi 0.0% 0.1%

Dogri 0.0% 0.0%

Kanauji 0.0% 0.0%

Kashmiri 0.0% 0.1%

Kurchi 0.0% 0.0%

Manipuri 0.0% 0.0%

Magahi 0.0% 0.0%

Nepali 0.0% 0.0%

Santhali 0.0% 0.0%

Tulu 0.0% 0.1%

Others 0.3% 0.3%

109

Table 8: Socio economic classification

Sec Language Users All Users


SEC A 25% 24%

SEC B 30% 32%

SEC C 29% 23%

SEC D 12% 14%

SEC E 5% 7%

Table 9: Highest educational qualification

Highest Educational Qualification Language Users All Users


Up to SSC/HSC 8% 13%

College but not Graduate 21% 23%

Graduate & above - general stream 43% 39%

Graduate & above - professional stream 28% 25%

Table 10: Occupational break up

Occupational Break Up Language Users All Users


Unemployed 33% 38%

Employed 67% 62%

110

Table 11: Function / field of occupation

Function / Field Of Occupation Language Users All Users

Sample Base 930 15,219

IT/Software 27% 18%

Marketing/Sales 12% 16%

Administration 12% 11%

Finance 10% 10%

Manufacturing 10% 11%

Academics 5% 4%

Consultancy 5% 6%

Advertising/PR/Media 3% 3%

HR 2% 3%

Others 15% 19%

Table 12: Head of the household

Head Of The Household Language Users All Users


Head of the household 56% 47%

Not head of the household 44% 53%

Table 13: Monthly family income

Monthly Family Income Language Users All Users


Upto 5K 13% 13%

5-10K 25% 25%

10-20K 25% 25%

20-30K 15% 14%

30-50K 10% 10%

50-75K 5% 4%

75-100K 3% 3%

Above 100K 4% 6%

111

Table 14: Most expensive vehicle owned by the household

Most Expensive Vehicle Owned By The Household Language Users All Users


Bi-Cycle 7% 7%

Motor-Cycle/Scooter 46% 44%

Small Car (Up to Rs.4 lakhs) 17% 18%

Mid-Size Car (Rs.4 to 8 lakhs) 6% 8%

Premium/Luxury Car (Above Rs.8 lakhs) 0.6% 2%

Others 0.8% 1%

Don't own a vehicle 22% 19%

Table 15: Ownership of credit cards (individually)

Ownership Of Credit Cards (Individually) Language Users All Users


Single Card 21% 18%

Multiple Cards 17% 16%

No Credit Card 62% 67%

112

Table 16: Household asset ownership

Household Asset Ownership Language Users All Users


Color TV 92% 92%

Mobile Phone 88% 90%

Bank Account 84% 82%

Cable TV connection/DTH 73% 72%

Fridge 73% 75%

Computer/Laptop 67% 67%

Camera 64% 64%

Life Insurance 63% 61%

Landline Phone 61% 62%

Home 56% 58%

Debit Card 55% 52%

Music System/DVD/MP3 54% 55%

Washing Machine 50% 57%

Credit Card 37% 35%

Medical Insurance/CGHS 34% 33%

Fixed Deposits 33% 34%

Mutual Funds 22% 22%

Demat Account 21% 21%

Air Conditioner 20% 25%

Microwave 20% 24%

Share of Companies 19% 20%

Video Camera 16% 20%

Chit Fund Deposits 10% 7%

IPod 8% 10%

Table 17: Current loan liabilities

Current Loan Liabilities Language Users All Users


Home Loan 42% 45%

Personal Loan 25% 20%

Two - wheeler Loan 15% 13%

Car Loan 12% 12%

Education Loan 11% 9%

Consumer Durables 6% 3%

Business Loan 4% 4%

Other 0.5% 0.1%

None of Above 7% 9%

113

Table 18: Years of experience in using internet

Years Of Experience Language Users All Users


Less Than 6 Months 7% 10%

6 Months-1 year 6% 10%

1-2 years 14% 16%

2-5 years 26% 26%

5-6 years 16% 12%

6 years and above 32% 25%

Table 19: Place of accessing internet

Place Of Access Language Users All Users


Home 58% 59%

Place of work (office / school / college) 83% 78%

Cyber cafe 49% 47%

In transit (while traveling) 6% 6%

Table 20: Type of internet connection at home

Type Of Internet Connection Language Users All Users


24 Hrs Broadband 34% 31%

Broadband Dial Up 28% 28%

Regular Dial Up 16% 16%

Cable 10% 9%

Mobile Connection 6% 6%

Wi Fi Connection 0.9% 2%

Lease/Dedicated line 0.5% 0.5%

Others 2% 2%

Don't Know 4% 7%

114

Table 21: Type of internet connection at office

Type Of Internet Connection Language Users All Users


24 Hrs Broadband 36% 31%

Broadband Dial Up 23% 25%

Lease/Dedicated line 9% 6%

Regular Dial Up 7% 7%

Cable 5% 6%

Wi Fi Connection 2% 3%

Mobile Connection 2% 2%

Others 1% 2%

Don't Know 15% 19%

Table 22: Service provider subscribed to at home

Service Provider Language Users All Users


BSNL/Sancharnet 37% 35%

Airtel/Bharti 17% 17%

VSNL / Tata 11% 10%

Local Cable Operator 9% 8%

MTNL 5% 5%

Reliance 5% 6%

Sify 5% 6%

Spectranet 0.0% 0.1%

Others 9% 7%

Don't Know 3% 5%

115

Table 23: Service provider subscribed to at office

Service Provider Language Users All Users


BSNL/Sancharnet 28% 28%

Airtel/Bharti 18% 15%

VSNL / Tata 13% 11%

MTNL 4% 5%

Reliance 4% 6%

Local Cable Operator 4% 4%

Sify 3% 5%

Spectranet 0.1% 0.3%

Others 8% 8%

Don't Know 17% 19%

Table 24: Frequency of accessing internet from home

Frequency Language Users All Users


Over 5 times a Day 31% 24%

2-5 times a Day 29% 27%

Once Daily 27% 33%

Once In 2-3 Days 8% 10%

Once a Week 3% 5%

1-3 times a Month 0.8% 1%

Once in More than a Month 0.9% 0.9%

116

Table 25: Frequency of accessing internet from office

Frequency Language Users All Users


Over 5 times a Day 46% 38%

2-5 times a Day 23% 25%

Once Daily 19% 24%

Once In 2-3 Days 8% 7%

Once a Week 3% 4%

1-3 times a Month 0.6% 1%

Once in More than a Month 2% 1%

Table 26: Time of the day accessing internet from home

Time Of The Day Accessing Internet From Home Language Users All Users


Before 9.00 AM 6% 5%

9.00 AM-12.00 Noon 9% 8%

12.00 Noon - 3.00 PM 4% 6%

3.00 PM-6.00 PM 3% 6%

6.00 PM - 9.00 PM 17% 18%

9.00 PM - 12.00 Midnight 36% 35%

After 12.00 Midnight 3% 3%

Throughout the Day 23% 18%

117

Table 27: Time of the day accessing internet from office

Time Of The Day Accessing Internet From Office Language Users All Users


Before 9.00 AM 3% 2%

9.00 AM-12.00 Noon 21% 22%

12.00 Noon - 3.00 PM 18% 21%

3.00 PM-6.00 PM 14% 13%

6.00 PM - 9.00 PM 6% 8%

9.00 PM - 12.00 Midnight 3% 4%

After 12.00 Midnight 1% 2%

Throughout the Day 35% 29%

Table 28: Duration of internet usage from home

Duration Language Users All Users


Less than 30 Minutes 13% 15%

30 to 60 Minutes 23% 28%

1-2 Hours 38% 35%

2-5 Hours 19% 17%

5-8 Hours 3% 3%

More than 8 Hours 5% 3%

Table 29: Duration of internet usage from office




30 to 60 Minutes 23% 25%

1-2 Hours 26% 26%

2-5 Hours 17% 15%

5-8 Hours 10% 7%


118

Table 30: Duration of internet usage during weekdays




30 to 60 Minutes 16% 20%

1-2 Hours 28% 34%

2-5 Hours 25% 24%

5-8 Hours 13% 7%


Table 31: Duration of internet usage during weekends




30 to 60 Minutes 17% 17%

1-2 Hours 28% 31%

2-5 Hours 23% 24%

5-8 Hours 11% 9%


Table 32: Duration of PC usage from home




30 to 60 Minutes 21% 20%

1-2 Hours 31% 37%

2-5 Hours 26% 22%

5-8 Hours 8% 7%


119

Table 33: Duration of PC usage from office




30 to 60 Minutes 7% 9%

1-2 Hours 14% 17%

2-5 Hours 20% 22%

5-8 Hours 30% 26%


Table 34: Time spent by internet users on watching TV

Time Spent On Watching TV Language Users All Users



30 to 60 Minutes 28% 28%

1-2 Hours 42% 43%

2-5 Hours 12% 11%

5-8 Hours 0.6% 1%

More than 8 Hours 0.5% 0.5%

Table 35: Time spent by internet users on reading newspaper

Time Spent On Reading Newspaper Language Users All Users



30 to 60 Minutes 44% 41%

1-2 Hours 12% 12%

2-5 Hours 1% 1%

5-8 Hours 0.1% 0.2%

More than 8 Hours 0.3% 0.2%

120

Table 36: Time spent by internet users on listening to radio

Time Spent On Listening To Radio Language Users All Users



30 to 60 Minutes 26% 26%

1-2 Hours 20% 19%

2-5 Hours 5% 6%

5-8 Hours 0.9% 2%


Table 37: Professional activities

Professional Activities Language Users All Users


Emailing - work related 89% 83%

Job Search 81% 73%

Instant messaging 76% 62%

Search work related info 56% 49%

Check business/Financial news 37% 30%

Business/prof. networking 32% 26%

Look for Seminar/workshops 30% 24%

Check business travel info. 21% 19%

None of the Above 1% 3%

121

Table 38: Personal activities

Personal Activities Language Users All Users


Emailing - personal 92% 89%

Check news 79% 61%

Check Sports 76% 57%

Matrimonial search 64% 48%

Dating/Friendship 63% 51%

Chatting 62% 59%

Astrology 60% 46%

Social networking/communities 58% 44%

Search for product information 51% 45%

Share pictures 44% 40%

Check hobby related info 35% 32%

Check health & lifestyle info 33% 30%

Check personal travel info. 32% 26%

Check cinema content 32% 28%

None of the above 0.5% 0.7%

Table 39: Downloading activities

Downloading Activities Language Users All Users


Music 74% 60%

Online games 68% 54%

Mobile contents (ring tones/games) 64% 50%

Educational / Learning material 63% 48%

Screensavers/wallpapers 49% 46%

Movies 34% 29%

Adult content 21% 18%


122

Table 40: E-commerce related activities

E-Commerce Related Activities Language Users All Users


E-greetings 65% 58%

Check financial info 62% 46%

Check real estate info 52% 37%

Net banking 37% 31%

Buy non-travel products 31% 25%

Book train tickets 30% 29%

Online bill payment 28% 23%

Book air tickets 24% 23%

Online stock trading 16% 13%

Net telephony 16% 13%

Book hotels 8% 8%

None of these 7% 13%

Table 41: Online shopping

Online Shopping Language Users All Users


Searched only 30% 33%

Both searched and bought 51% 43%

Neither searched nor bought 19% 24%

Table 42: Blogging activities

Blogging Activities Language Users All Users


Check / read blogs at least once a week 34% 23%

Check / read blogs less than once a week 11% 8%

Comment on blog post at least once a week 14% 9%

Comment on blog post less than once a week 8% 5%

Have a blog site of my own 10% 7%


123

Table 43: Member of an online community

Member Of An Online Community Language Users All Users



Member of an online community 51% 41%

Table 44: Membership by type of online community

Membership By Type Of Online Community Language Users All Users



Computers & Internet 10% 5%

Alumni & Schools 6% 7%

Romance & Relationships 5% 5%

Business / Professional community 4% 3%

Games 3% 2%

Music 3% 3%

Arts & Entertainment 2% 2%

Individuals 2% 2%

Schools & Education 2% 3%

Cultures & Community 2% 2%

Company 2% 1%

Travel 2% 0.9%

Science & History 1% 0.8%

Family & Home 0.9% 0.5%

Recreation & Sports 0.8% 0.3%

Automotive 0.7% 0.5%

Countries & Regional 0.7% 0.4%

Health, Wellness & Fitness 0.7% 0.7%

Religion & Beliefs 0.7% 0.8%

Hobbies & Crafts 0.5% 0.4%

Fashion & Beauty 0.4% 0.4%

Pets & Animals 0.3% 0.2%

Cities & Neighborhoods 0.2% 0.2%

Gay, Lesbian & Bi 0.2% 0.2%

Food, Drink & Wine 0.1% 0.1%

Government & Politics 0.1% 0.2%

124

Table 45: Usage of other language websites

Usage Of Other Language Websites Language Users All Users


Use other language websites 1 12%

Use only English websites 0.0% 88%

Table 46: Online activities desired in other languages

Online Activities Language Users All Users


Email 71% 61%

Entertainment 58% 45%

Online news 51% 31%

Chatting 50% 46%

Search information 45% 33%

Online learning / education 37% 31%

Astrology 29% 23%

Travel related information 24% 16%

Online shopping 22% 18%

Matrimony 18% 13%

Blog 18% 12%

Not Interested 7% 21%

Table 47: Problems faced while surfing the internet

Problems Language Users All Users


Slow website opening 58% 62%

Virus / spyware 52% 49%

Spam / junk mails 52% 49%

Unsolicited ads/pop-ups 48% 45%

Difficult to connect 29% 35%

Lack of response to queries 26% 27%

Cumbersome navigation 12% 12%

Lack of local language content 12% 9%

Never faced any problem 8% 8%

Others 2% 2%

125

Table 48: Top of mind unaided recall - all websites

Websites Language Users All Users


Google 30% 27%

Yahoo 29% 30%

Rediff 12% 12%

Gmail 5% 3%

Orkut 3% 5%

Indiatimes 1% 1%

Hotmail 0.9% 2%

Ebay 0.6% 0.3%



BSNL 0.5% 0.1%

WWE 0.5% 0.3%

Howstuffworks 0.3% 0.2%

ICICIDirect 0.3% 0.1%

NDTV 0.3% 0.2%

Nokia 0.3% 0.3%

Microsoft 0.3% 0.4%

India 0.3% 0.3%


MSN 0.2% 0.5%

Naukri 0.2% 0.5%

Sify 0.2% 0.5%

Timesofindia 0.2% 0.1%

Makemytrip 0.2% 0.1%

Zapak 0.2% 0.1%

123Greetings 0.1% 0.0%

Reliance 0.1% 0.2%

Santabanta 0.1% 0.3%

Wikipedia 0.1% 0.3%

You tube 0.1% 0.2%

Amazon 0.0% 0.0%

BBC 0.0% 0.1%

Bharatmatrimony 0.0% 0.0%

CBSE 0.0% 0.1%

Cricinfo 0.0% 0.1%

Download 0.0% 0.1%

Economictimes 0.0% 0.0%

Espnstar 0.0% 0.2%

Freshersworld 0.0% 0.2%

HDFC 0.0% 0.0%

Hi5 0.0% 0.1%

Hpindia 0.0% 0.1%

ICICIbank 0.0% 0.2%

Indiabulls 0.0% 0.0%

Indiafm 0.0% 0.1%

Indiainfoline 0.0% 0.0%

Indiamart 0.0% 0.0%

126

Indianexpress 0.0% 0.0%

Indianrailways 0.0% 0.0%

Indya 0.0% 0.0%

IRCTC 0.0% 0.2%

Monster 0.0% 0.3%

NSEindia 0.0% 0.1%

Raaga 0.0% 0.1%

Samachar 0.0% 0.0%

Shaadi 0.0% 0.0%

Sharekhan 0.0% 0.1%

Sony 0.0% 0.1%

Timesjob 0.0% 0.1%

VSNL 0.0% 0.0%

Ebizel 0.0% 0.1%

Funmaza 0.0% 0.2%

India games 0.0% 0.2%

Rcm business 0.0% 0.0%

Yatra 0.0% 0.1%

Mail2 web 0.0% 0.0%

Airtel 0.0% 0.0%

Others 12% 12%

127

Table 49: Most used website - all websites

Websites Language Users All Users


Google 33% 29%

Yahoo 25% 27%

Rediff 11% 11%

Orkut 5% 8%

Gmail 4% 4%

Hotmail 1% 2%




Naukri 0.6% 0.5%

Ebay 0.4% 0.4%

MSN 0.4% 0.4%

WWE 0.4% 0.2%

Icicidirect 0.3% 0.3%

Wikipedia 0.3% 0.6%

Download 0.2% 0.2%

Icicibank 0.2% 0.3%

Sharekhan 0.2% 0.1%

Sify 0.2% 0.5%

Monster 0.1% 0.2%

Raaga 0.1% 0.2%

Timesjob 0.1% 0.1%

Youtube 0.1% 0.2%

Espnstar 0.0% 0.1%

Nseindia 0.0% 0.2%


Bseindia 0.0% 0.2%

Others 14% 13%

128

Table 50: Preferred website for emailing



Yahoo 49% 53%

Gmail 25% 20%

Rediff 16% 18%

Hotmail 6% 6%

Sancharnet/BSNL 2% 0.7%


VSNL 0.6% 0.5%

Lycos 0.5% 0.2%

Sify 0.5% 1%

AOL 0.2% 0.1%

Table 51: Multiple user shares of email websites

Multiple User Shares Of Email Websites Language Users All Users


Yahoo 89% 89%

Gmail 65% 59%

Rediff 61% 57%

Hotmail 43% 36%

Indiatimes 21% 17%

Sify 17% 13%

VSNL 8% 4%

Sancharnet/BSNL 8% 7%

AOL 4% 3%

Lycos 3% 2%

Others 6% 4%

129

Table 52: Preferred website for job search



Naukri 38% 37%

Monster 24% 27%

Timesjobs 12% 14%

Google 10% 5%

Yahoo 4% 3%

Rediff 2% 2%

Jobs 1% 1%

Indiatimes 1% 1%

Jobstreet 0.9% 0.7%

Jobsahead 0.7% 1%

Clickjobs 0.6% 0.5%

Freshersworld 0.3% 2%

Jobsearch 0.1% 0.6%

Jobsindia 0.1% 0.1%

Devnetjobs 0.0% 0.2%

Others 6% 5%

130

Table 53: Preferred website for mobile content



Google 17% 10%

Rediff 16% 12%

Yahoo 13% 14%

Nokia 11% 9%

Indiatimes 7% 7%

Sify 4% 2%

Airtel 3% 3%

Mobile9 3% 4%

Zedge 3% 2%

Funmaza 2% 3%

Hutch 2% 3%

Mobango 2% 2%

Mobileringtones 1% 0.7%

Ringtones 1% 3%

Sonyericsson 1% 1%

Freeringtones 0.9% 0.6%

Idea 0.8% 0.3%

Games 0.5% 0.8%

Download 0.4% 0.6%

R World 0.4% 0.6%

Mauj 0.3% 0.5%

MSN 0.3% 0.3%

Samsungmobile 0.3% 0.4%


Motozone 0.3% 0.6%

Apniisp 0.3% 0.2%

Papuyaar 0.2% 0.4%

Tagtag 0.2% 0.6%

Getjar 0.2% 0.6%

Dotsis 0.2% 0.2%

Cellebrum 0.1% 0.3%

Cooltoad 0.1% 0.7%

Hungama 0.1% 0.2%

Masti4India 0.1% 0.7%

Raaga 0.1% 0.2%

Zapak 0.1% 0.4%

Indiafm 0.0% 0.2%

BSNL 0.0% 0.2%

Others 11% 14%

131

Table 54: Preferred website for sports



Espnstarsports 23% 29%

Cricinfo 16% 14%

Yahoo 13% 12%

Google 11% 8%

Rediff 10% 8%

Sports 4% 4%

Indiatimes 2% 3%

NDTV 2% 2%

Sify 1% 2%

MSN 1% 1%

WWE 1% 2%

Tensports 1% 2%

Cricketnext 1% 2%

DD Sports 1% 0.4%

BBC Sports 0.9% 0.8%

Khel 0.7% 0.5%

Cricbuzz 0.5% 0.3%

Iccworldcup 0.5% 0.5%


Zeesports 0.1% 0.2%

CNN 0.1% 0.4%

Others 10% 8%

132

Table 55: Preferred website for travel products



IRCTC 17% 15%

Yatra 16% 16%

Google 15% 11%

Makemytrip 10% 17%

Yahoo 9% 8%

Rediff 6% 5%

Indiatimes 3% 3%

Travel 3% 3%

Cleartrip 3% 2%

Airdeccan 2% 2%

Travelguru 2% 2%

Travel India 1% 0.8%

Sify 1% 0.7%

Incredibleindia 0.8% 0.3%

Goair 0.7% 0.4%

Jetairways 0.7% 0.7%

Airindia 0.5% 0.9%

Indiatravels 0.5% 0.3%

MSN 0.4% 0.6%

Flykingfisher 0.3% 0.2%

Spicejet 0.3% 0.4%

Tours 0.3% 0.6%

Rajtravels 0.3% 0.7%

Indianairlines 0.2% 0.4%

KSRTC 0.1% 0.1%

Travelocity 0.1% 0.2%

Hotels 0.1% 0.3%

Airsahara 0.0% 0.0%

Sitatours 0.0% 0.0%

Thomascook 0.0% 0.1%

Others 7% 9%

133

Table 56: Preferred website for matrimony



Shaadi 27% 28%

Bharatmatrimony 23% 29%

Jeevansaathi 9% 6%

Google 8% 6%

Yahoo 5% 5%

Tamilmatrimony 5% 3%

Matrimony 5% 5%

Rediff 3% 3%

Keralamatrimony 3% 0.9%

Indianmatrimony 2% 0.6%

Telugumatrimony 2% 1%

Matrimonial 1% 2%

Simplymarry 1% 3%

Sify 0.9% 0.4%


MSN 0.3% 0.5%

Bengalimatrimony 0.3% 0.2%

Indiamatrimony 0.3% 0.9%

Oriyamatrimony 0.1% 0.2%

Marathimatrimony 0.1% 0.1%

Agarwal2Agarwal 0.0% 0.0%

Matchmaker 0.0% 0.2%

Punjabmatrimony 0.0% 0.3%

Hindimatrimony 0.0% 0.1%

Gujuratimatrimony 0.0% 0.1%

Sindhimatrimony 0.0% 0.0%

Urdumatrimony 0.0% 0.1%

Others 5% 4%

134

Table 57: Preferred website for financial news/info



Google 18% 13%

Moneycontrol/CNBC 14% 13%

Yahoo 13% 12%

ICICI Direct/ICICI Bank 7% 7%

Rediff 6% 6%

NDTV/NDTVprofit 4% 4%

Economictimes 3% 3%

Sharekhan 3% 4%

Indiatimes 3% 4%

HDFC 2% 0.8%

Sify 2% 2%

Efinancialnews 1% 0.5%

Business 1% 1%

Financialexpress 1% 0.9%

Timesofindia 1% 1%

Indiabulls 1% 1%

Stockmarket 0.9% 2%

Indiainfoline 0.8% 0.5%

Zeebusiness 0.8% 0.6%


MSN 0.6% 1%

NSE 0.5% 2%

Valueresearch 0.5% 0.4%

CNN 0.4% 1%

Ibnlive 0.4% 0.5%

Financialnews 0.3% 1%

Kotaksecurities 0.2% 0.6%

5Paisa 0.1% 0.1%

Capitalmarket 0.1% 0.2%

Reliancemoney 0.1% 0.3%

Karvey 0.1% 0.2%

BBC 0.1% 0.8%

Equitymaster 0.0% 0.4%

Others 13% 14%

135

Table 58: Preferred website for cinema



Google 12% 9%

Yahoo 9% 11%

Bollywood 6% 5%

Tamilcinemas 5% 3%

Cinema 4% 4%

Indiafm 4% 5%

Rediff 4% 5%

Santabanta 3% 3%

Indiaglitz 3% 2%

Indiatimes 3% 3%

Imdb 3% 2%

Sify 2% 2%

Movies 2% 3%

Thecinema 2% 1%

PVR Cinemas 1% 5%

Filmfare 1% 0.6%

Idlebrain 1% 2%

Starmovies 1% 0.4%

Chitraloka 1% 0.4%

Andhravilas 1% 0.7%

Funcinemas 1% 2%

Hollywood 1% 0.5%

Galatta 0.9% 0.8%

Youtube 0.9% 1%

Inox 0.8% 1%

Smashits 0.8% 0.4%


Malayalamcinema 0.7% 0.4%

Cinemax 0.6% 0.7%

Indya 0.6% 0.8%

Raaga 0.6% 1%

Zeecinemas 0.6% 1%

NDTV 0.5% 0.4%

Indiancinema 0.4% 1%

MSN 0.4% 0.9%

Satyamcinema 0.4% 0.9%

Adlabs 0.3% 0.9%

Sonypictures 0.3% 0.2%

Prasad2 0.3% 0.3%

Cinesouth 0.2% 0.5%

Teluguone 0.1% 0.7%

Yashrajfilms 0.0% 0.3%

Musicindiaonline 0.0% 0.5%

Glamsham 0.0% 0.2%

Funmala 0.0% 0.3%

Others 19% 16%

136

Table 59: Preferred website for online share/stock trading



ICICI Direct 34% 36%

Sherkhan 21% 22%

Religare 9% 4%

Geojit 4% 2%

Kotaksecurities 3% 4%

Indiabulls 3% 7%

hdfcsec 3% 2%

5Paisa 3% 3%

NSE 2% 3%

BSE 2% 3%

Reliancemoney 1% 1%

Angeltrade 0.7% 0.5%

Karvy 0.0% 0.5%

Others 14% 13%

137

Table 60: Preferred website for games



Yahoo 21% 18%

Zapak 18% 17%

Google 12% 9%

Games 7% 7%

Indiagames 4% 3%

Rediff 4% 3%

Contest2Win 3% 3%

Easports 2% 1%

Miniclip 2% 4%

Onlinegames 1% 2%

Hungama 1% 0.6%

Download 0.8% 1%

Indiatimes 0.8% 2%

MSN 0.7% 2%

Cricinfo 0.5% 1%

Funmaza 0.5% 0.5%

Sports 0.5% 0.4%

Playgames 0.5% 0.3%

Cartoonnetwork 0.4% 0.6%

Freeonlinegames 0.4% 0.7%

Stickcricket 0.4% 0.4%

Gamesworld 0.4% 0.3%

Bigfishgames 0.4% 0.8%

Funtoosh 0.3% 0.4%

Gamehouse 0.3% 0.4%

Sify 0.3% 0.7%


Games2win 0.3% 1%

Freegames 0.1% 0.6%

Gamezone 0.1% 0.2%

Realarcade 0.1% 0.5%

Toondisneyindia 0.1% 0.2%

Gamespot 0.0% 0.4%

Gamesonline 0.0% 0.4%

Arcade 0.0% 0.2%

Others 17% 17%

138

Table 61: Preferred website for online shopping



Rediff 28% 25%

Ebay 28% 34%

Google 11% 8%

Yahoo 8% 7%

Indiatimes 5% 7%

Futurebazaar 4% 6%

Amazon 3% 0.9%

Sify 2% 2%

Indiaplaza 1% 1%

Shopping 0.8% 2%

Onlineshopping 0.7% 1%

MSN 0.5% 0.7%


Others 7% 6%

139

Table 62: Preferred website for online news



Yahoo 13% 14%

Google 11% 9%

NDTV 8% 12%

Rediff 8% 10%

Indiatimes 6% 7%


Eenadu 5% 2%

BBC 4% 5%

Jagran 3% 1%

Sify 3% 2%

Thehindu 3% 2%

Aajtak 3% 5%

Timesofindia 2% 3%

Dinamalar 2% 0.9%

Ibnlive 2% 3%

MSN 2% 3%

CNN 2% 3%

Esakal 0.9% 0.3%

Hindustantimes 0.7% 0.7%

Zeenews 0.6% 2%

Economictimes 0.5% 0.4%

Times 0.5% 0.6%

Starnews 0.4% 0.7%


Midday 0.3% 0.2%

Hinduonnet 0.2% 0.3%

Webduniya 0.2% 0.1%

CNBC 0.1% 1%

DD News 0.1% 0.6%

TV9 0.0% 0.9%

Others 12% 9%

140

Table 63: Preferred website for friendship/dating



Orkut 30% 36%

Yahoo 23% 23%

Google 13% 8%

Rediff 7% 7%

Fropper 3% 3%

Adultfriendfinder 2% 2%

Indiatimes 2% 2%

Tagged 2% 1%

MSN 2% 1%

Friendfinder 1% 2%

Date 1% 2%

Desimartini 1% 0.5%

Friends 0.8% 1%

Hi5 0.7% 2%

Sify 0.7% 0.5%

Friendship 0.6% 0.9%

Match 0.5% 0.2%

Batchmates 0.3% 0.4%

Friendster 0.0% 0.3%

Others 11% 9%

141

Table 64: Preferred website for music



Raaga 22% 22%

Google 10% 7%

Yahoo 10% 10%

Cooltoad 5% 5%

Musicindiaonline 4% 4%

Rediff 3% 3%

Youtube 3% 2%

Tamilsongs 3% 2%

Mp3 3% 3%

Music 2% 4%

123music 2% 0.8%

Smashits 2% 2%

Songs 2% 1%

Andhravilas 2% 0.9%

Musiconline 1% 0.7%

Mtv 1% 1%

Sify 1% 0.9%

Realplayer 1% 0.5%

Indiatimes 0.9% 1%

MSN 0.9% 0.5%

Tamilmp3world 0.9% 0.3%

Dishant 0.7% 1%

Papuyaar 0.7% 2%

Indiafm 0.6% 0.9%

Indianmusic 0.6% 0.5%

Okesite 0.6% 0.7%

Itunes 0.6% 0.4%

Downloads 0.5% 0.5%

Bollyexpress 0.5% 0.8%

Musicworld 0.4% 0.3%

Apniisp 0.3% 1%

Bollywoodmusic 0.3% 0.9%

Livewire 0.3% 1%

Mag4U 0.3% 0.4%

Pz10 0.3% 1%

Musicmazaa 0.3% 0.3%

Emusic 0.3% 0.9%

Bollyfm 0.2% 0.7%

Timesmusic 0.1% 0.4%

Telgusongs 0.1% 0.3%

Sonymusic 0.1% 0.2%

Radiomirchi 0.1% 0.3%

Funmaza 0.1% 0.7%

Desiweb 0.0% 0.1%

Desimusic 0.0% 0.3%

Others 13% 13%

142

Table 65: Preferred info search engine - local language



Google 58% 74%

Guruji 6% 2%


Kerala 4% 1%

Webduniya 3% 1%

Webulagam 2% 0.8%

Eenadu 2% 1%

Khoj 2% 1%

Jagran 1% 0.5%


MSN 0.0% 0.8%

Others 17% 15%

Table 66: Preferred website for real estate



Google 22% 17%

Yahoo 16% 14%

Realestates 9% 10%

99acres 8% 10%

Magicbricks 8% 14%

Rediff 6% 7%

Indiaproperty 5% 5%

Indiatimes 3% 2%

Property 2% 3%

Sulekha 2% 1%

Sify 2% 1%



Realtor 0.4% 0.4%

MSN 0.4% 0.5%

NDTV 0.3% 0.3%

Keralarealestate 0.0% 0.3%

Indiabulls 0.0% 0.4%

Others 13% 12%

143

Table 67: Preferred info search engine - English



Google 74% 75%

Yahoo 10% 10%

Rediff 3% 2%

Dictionary 2% 1%

BBC 2% 0.5%

Wikipedia 2% 1%

English 2% 3%

MSN 1% 1%

Altavista 0.8% 0.3%

Sify 0.5% 0.4%



Others 4% 5%

Table 68: Preferred website for instant messaging



Yahoo 59% 63%

Google Talk 21% 14%

Rediffbol 10% 10%

Meebo 4% 1%

MSN 4% 5%

Orkut 0.8% 3%

Skype 0.6% 0.6%

AIM 0.4% 0.3%


Others 1% 3%

144

Table 69: Preferred website for social networking/communities



Orkut 60% 64%

Yahoo 23% 16%

MSN 1% 1%

Tagged 0.8% 0.4%

Communities 0.7% 1%

Myspace 0.6% 0.6%

Ryze 0.4% 0.3%

Fropper 0.4% 0.4%

Bharatstudent 0.4% 0.4%

Linkedin 0.3% 0.3%

Hi5 0.2% 0.9%

Friends 0.1% 1%

Others 11% 14%

145

Table 70: Preferred website for astrology



Yahoo 18% 22%

Google 18% 11%

Astrology 15% 19%

Rediff 11% 9%

Indiatimes astrospeak 7% 8%

Astrogyan 3% 0.8%

Sify 2% 3%

Sarafreder 2% 3%

Astroindia 2% 0.5%

Indianastrology 2% 0.8%

Astrolife 2% 2%

MSN 1% 3%

Astroyogi 1% 0.8%

Webulagam 1% 0.4%

Webduniya 0.8% 0.6%



Astrologyzone 0.7% 0.4%

Astrocenter 0.7% 0.6%

Jagran 0.5% 0.2%


Ganeshaspeaks 0.2% 0.3%

Bejandaruwalla 0.2% 0.6%

Ivillage 0.1% 0.8%

Indya 0.1% 0.5%

Cyberastro 0.1% 0.3%

Tarot 0.0% 0.3%

Paramdhaam 0.0% 0.5%

Kundli 0.0% 0.2%

Horoscope 0.0% 2%

Astroworld 0.0% 0.3%

Others 11% 9%

146

Table 71: Preferred website for online learning/education



Google 30% 34%

Yahoo 12% 10%

Wikipedia 7% 6%

W3schools 5% 2%

Rediff 4% 4%

Onlinelearning 2% 1%

Education 2% 3%

MSN 1% 1%

Pubmed 1% 0.5%

Microsoft 1% 0.9%

Dewsoftoverseas 1% 0.5%

Annauniversity 0.9% 0.8%

IGNOU 0.8% 1%

Howstuffworks 0.8% 0.6%

ICFAI 0.7% 1%

Britishcouncil 0.7% 0.4%

BBC 0.7% 0.5%

Learning 0.6% 0.5%

Ebizel 0.5% 1%

ICAI 0.4% 0.5%

Mit.edu 0.3% 0.2%

Indiatimes 0.3% 1%

CBSE 0.3% 1%

Symbiosis 0.2% 0.4%

Onlineeducation 0.2% 0.8%

Gurukul 0.2% 0.4%

Freshersworld 0.2% 0.5%

English 0.2% 0.2%

Worldwidelearn 0.1% 0.3%

NCERT 0.1% 0.3%

Goiit 0.1% 0.5%

Answers 0.1% 0.4%

Others 26% 24%

147

Table 72: Other language preferred for local content

Language Language Users All Users


Tamil 19% 19%

Hindi 19% 19%

Malayalam 15% 15%

Telugu 13% 13%

Marathi 12% 12%

Kannada 6% 6%

Bengali 6% 6%

Gujarati 3% 3%

Oriya 1% 1%

Konkani 0.8% 0.8%

Urdu 0.7% 0.7%

Punjabi 0.5% 0.5%

Assamese 0.1% 0.1%

Awadhi 0.1% 0.1%

Bhojpuri 0.1% 0.1%

Bodo 0.1% 0.1%

Kanauji 0.1% 0.1%

Maithili 0.1% 0.1%

Manipuri 0.1% 0.1%

Sanskrit 0.1% 0.1%

Tulu 0.1% 0.1%

Bundeli 0.0% 0.0%

Haryanvi 0.0% 0.0%

Kashmiri 0.0% 0.0%

Marwari 0.0% 0.0%

Santhali 0.0% 0.0%

Others 2% 2%

148

Table 73: Preferred blog sites

Blog Sites Language Users All Users


Google 27% 21%

Yahoo 18% 18%

Rediff 12% 10%

Blogger 9% 11%

Ibibo 9% 10%

Youtube 7% 2%

Blogspot 7% 11%

Hi5 4% 2%

Indiatimes 2% 2%

Mylot 2% 1%

Sulekha 1% 0.7%

MSN 0.8% 1%

Debonairblog 0.8% 2%

Myspace 0.7% 0.7%

Mouthshut 0.5% 1%

Tagged 0.4% 2%

TimesofIndia 0.2% 0.4%

Fropper 0.0% 0.3%

Monster 0.0% 0.2%

Others 1% 2%

149

Table 74: Most preferred TV channel

TV Channel Language Users All Users


Star Plus 9% 13%

Sun TV 8% 5%

Discovery 6% 7%

NDTV 5% 5%

Aajtak 5% 5%

Asianet 5% 1%

HBO 4% 4%

E TV 4% 1%

CNBC 4% 2%

Star Movies 3% 3%

Sony 3% 4%

CNN IBN 2% 2%

DD 1 2% 2%

Zee TV 2% 3%

Kairali TV 2% 0.3%

ESPN 2% 3%

Vijaya TV 2% 0.7%

Star One 2% 3%

Ten Sports 2% 3%

Zoom 2% 0.9%

Etv Kannada 1% 0.4%

National Geographic 1% 2%

Pogo 1% 0.9%

TV 9 1% 2%

Star News 1% 1%

Gemini 1% 0.9%

M TV 1% 3%

Sun Music 1% 0.8%

AXN 0.8% 1%

Cartoon Network 0.8% 1%

Sab TV 0.8% 1%

Travel & Living 0.8% 0.9%

Zee Marathi 0.8% 0.3%

Disney Channel 0.7% 0.6%

History Channel 0.7% 0.5%

Etv Marathi 0.6% 0.1%

Zee Music 0.6% 0.3%

Dd News 0.5% 0.3%

Raj TV 0.5% 0.0%

Set Max 0.5% 0.5%

SS Music 0.5% 0.4%

Star Sports 0.5% 0.8%

Animal Planet 0.4% 0.7%

Headlines Today 0.4% 0.2%

Star Gold 0.4% 0.2%

F TV 0.3% 0.5%

Star Anand 0.3% 0.1%

Teja TV 0.3% 0.1%

Udaya TV 0.3% 0.3%

Zee Business 0.3% 0.1%

Zee Cinema 0.3% 0.5%

Aawaz 0.2% 0.2%

Alfa Marathi 0.2% 0.1%

150

Any Music Channel 0.2% 0.4%

Any News Channel 0.2% 0.4%

Any Sports Channel 0.2% 0.4%

BBC 0.2% 0.8%

Maa TV 0.2% 0.3%

Surya TV 0.2% 0.6%

Zee News 0.2% 0.4%

B4U 0.1% 0.1%

Sahara One 0.1% 0.4%

Star World 0.1% 2%

NDTV24*7 0.1% 0.3%

All Telugu 0.1% 0.0%

Times Now 0.1% 0.3%

India Vision 0.1% 0.1%

Ibnlive 0.1% 0.2%

Aditya 0.0% 0.0%

Animax 0.0% 0.2%

Any Movie Channel 0.0% 0.1%

Astha 0.0% 0.0%

ETC 0.0% 0.2%

Etv Bangla 0.0% 0.1%

God 0.0% 0.1%

India TV 0.0% 0.4%

Jaya TV 0.0% 0.1%

K TV 0.0% 0.0%

Sahara TV 0.0% 0.0%

Sanskar 0.0% 0.0%

V Channel 0.0% 0.3%

Vh1 0.0% 0.4%

Zee Café 0.0% 0.1%

Zee English 0.0% 0.0%

Zee Studio 0.0% 0.0%

NDTV Profit 0.0% 0.5%

Star Utsav 0.0% 0.1%

MH1 0.0% 0.2%

Hungama TV 0.0% 0.1%

Jetix 0.0% 0.2%

Nick 0.0% 0.0%

Sahara Samay 0.0% 0.0%

Smile TV 0.0% 0.0%

Zee Bangla 0.0% 0.0%

Akasha Bangla 0.0% 0.0%

Peace TV 0.0% 0.0%

Hall Mark 0.0% 0.1%

Local 0.0% 0.1%

Kiran TV 0.0% 0.1%

Zee Primier 0.0% 0.0%

Set Pix 0.0% 0.0%

Win Cable 0.0% 0.0%

Others 2% 1%

151

Table 75: Most preferred newspaper

Newspaper Language Users All Users


The Times of India 23% 35%

The Hindu 22% 18%

Eenadu 4% 3%

Dinamalar 4% 1%

The Hindustan Times 4% 6%

Indian Express 3% 3%

Malyalam Manorama 3% 2%

Deccan Chronicle 2% 4%

Dainik Jagran 2% 2%

Deccan Herald 2% 1%

Dainik Bhaskar 2% 2%

Mathrubhumi 2% 0.6%

Kerala Kaumudi 2% 0.2%

Vijay Karnataka 2% 1%

The Telegraph 2% 3%

Gujrat Samachar 2% 1%

The Economic Times 2% 2%

Dinakaran 1% 0.4%

Sakal 1% 0.6%

Loksatta 1% 0.4%

The Tribune 1% 2%

Mumbai Mirror 1% 0.9%

Daily Thanthi 1% 0.6%

Gulf News 0.9% 0.1%

Mid Day 0.9% 1%

Lokmat 0.8% 0.6%

Punjab Kesari 0.8% 0.3%

Nai Dunia 0.8% 0.2%

Anand Bazar Patrika 0.7% 0.8%

Maharashtra Times 0.7% 0.2%

DNA 0.6% 1%

Prajavani 0.6% 0.3%

Amar Ujala 0.4% 0.5%

Kannada praba 0.4% 0.1%

Nav Hindi Times 0.4% 0.4%

Andhra Jyoti 0.3% 0.1%

Nav Bharat Times 0.3% 0.3%

Rajasthan Patrika 0.3% 0.5%

Vartha 0.3% 0.1%

Janshakti 0.3% 0.0%

Business Line 0.2% 0.3%

Business Standard 0.2% 0.1%

Pudhari 0.2% 0.0%

Sandesh 0.2% 0.4%

The Statesman 0.2% 0.2%

Udayavani 0.2% 0.1%

Dinamani 0.1% 0.1%

152

Divya Bhaskar 0.1% 0.5%

Free Press Journal 0.1% 0.0%

Hitvada 0.1% 0.2%

Mumbai Samachar 0.1% 0.1%

Samaj 0.1% 0.1%

Vartaman 0.1% 0.0%

Asian Age 0.0% 0.0%

Dharitri 0.0% 0.1%

Employment News 0.0% 0.0%

Financial Express 0.0% 0.0%

Jansatta 0.0% 0.0%

Madhyamum 0.0% 0.0%

Prabhat Khabar 0.0% 0.1%

Rashtriya Sahara 0.0% 0.0%

Saamna 0.0% 0.1%

Sambad 0.0% 0.1%

Sanmarg 0.0% 0.0%

Siasat 0.0% 0.0%

The Pioneer 0.0% 0.0%

Tarun Bharat (Marathi) 0.0% 0.0%

india Today 0.0% 0.0%

Pratidin (Local) 0.0% 0.1%

Bangalore Times 0.0% 0.1%

Aaj Kal 0.0% 0.0%

Vijaya Times 0.0% 0.3%

Inquilab 0.0% 0.0%

Greater Kashmir 0.0% 0.0%

Sambad 0.0% 0.0%

Mint 0.0% 0.0%

Others 0.7% 0.8%

153

Table 76: Most preferred magazine

Magazine Language Users All Users


India Today 26% 23%

Reader's Digest 6% 7%

The Week 6% 5%

Ananda Vikatan 3% 1%

Outlook 3% 4%

Kumudham 3% 1%

Sports Star 3% 4%

Digit 2% 3%

Competition Success Review 2% 1%

Film Fare 2% 3%

Business Today 2% 2%

Business World 2% 2%

Autocar India 2% 2%

Swathi 2% 2%

Chip 2% 2%

Sudha 2% 0.3%

Electronics For You 1% 1%

Grihshobha 1% 0.9%

PC Quest 1% 0.6%

Femina 1% 4%

Women's Era 1% 2%

Star Dust 1% 2%

Vanita 1% 1%

National Geographic 1% 0.6%

Science Reporter 1% 0.6%

Today 0.9% 0.5%

India Times 0.8% 0.8%

Business India 0.7% 0.7%

Manorama 0.7% 0.2%

Aha Zindagi 0.6% 0.2%

Business & Economy 0.6% 0.5%

Fortune India 0.6% 0.7%

Time 0.6% 0.6%

Chitralekha 0.5% 0.7%

Junior Vikatan 0.5% 0.2%

Computers Today 0.4% 0.7%

Desh 0.4% 0.2%

Developer IQ 0.4% 0.0%

Sarita 0.4% 0.2%

Nirogadhaam 0.4% 0.1%

Aval Vikatan 0.3% 0.2%

Chronicle 0.3% 0.2%

Cosmopolitan 0.3% 0.8%

Cricket Samrat 0.3% 0.6%

Grihlakshmi 0.3% 0.0%

Playboy 0.3% 0.3%

Safari 0.3% 0.3%

154

Sananda 0.3% 0.3%

Animation Reporter 0.3% 0.1%

Brunch 0.2% 0.3%

Business Week 0.2% 0.3%

Champak 0.2% 0.1%

Cineblitz 0.2% 0.2%

Dalal Street 0.2% 0.3%

Data Quest 0.2% 0.2%

Outlook Money 0.2% 0.4%

Saptahik Sakal 0.2% 0.1%

Money life 0.2% 0.1%

Business Standard 0.2% 0.1%

Abhiyan 0.1% 0.2%

Anandamela 0.1% 0.2%

Debonair 0.1% 0.2%

Meri Saheli 0.1% 0.5%

Taranga 0.1% 0.2%

The Economist 0.1% 0.2%

Graphiti 0.1% 0.2%

Saptahik Bartaman 0.1% 0.1%

Wisdom 0.1% 0.7%

Andra Jyoti 0.1% 0.1%

Anandalok 0.0% 0.0%

Auto India 0.0% 0.1%

Better Photography 0.0% 0.1%

Business Times 0.0% 0.0%

Buzz 0.0% 0.1%

Capital Market 0.0% 0.2%

Deccan Chronicle 0.0% 0.1%

Elle 0.0% 0.1%

Frontline 0.0% 0.1%

Gladrags 0.0% 0.3%

Good House Keeping 0.0% 0.3%

Health 0.0% 0.5%

Inside Outside 0.0% 0.3%

Kadambini 0.0% 0.0%

Linux For You 0.0% 0.2%

Lokprabha 0.0% 0.1%

Mathrubhumi 0.0% 0.0%

Maxim 0.0% 0.2%

Outlook Traveller 0.0% 0.0%

Overdrive 0.0% 0.6%

Pratiyogita Darpan 0.0% 0.0%

Saras Salil 0.0% 0.1%

Savvy 0.0% 0.1%

Society 0.0% 0.1%

Top Gear 0.0% 0.1%

Living Digital 0.0% 0.1%

Saheli 0.0% 0.0%

PC World 0.0% 0.3%

Sakhi 0.0% 0.0%

155

Mans World 0.0% 0.0%

Chandamama 0.0% 0.1%

Kurukshetra 0.0% 0.0%

Automobiles 0.0% 0.1%

Auto World 0.0% 0.0%

Bikes 0.0% 0.1%

Economical Times 0.0% 0.0%

Others 9% 7%

Table 77: Most preferred radio channel

Radio Channel Language Users All Users


Radio Mirchi 38% 38%

AIR 14% 11%

Red FM 11% 12%

Suryan FM 10% 6%

Radio City 7% 11%

Big FM 6% 5%

AIR FM RAINBOW 5% 4%

AIR FM GOLD 5% 5%

BBC 2% 1%

World Space 1% 2%

Fever FM 0.6% 3%

Power FM 0.3% 0.8%

Amar FM 0.3% 0.3%

Go FM 0.2% 0.8%

Hum FM 0.0% 0.0%

Others 0.9% 1%

156

Table 78: Preferred website for checking local language content



Google 12% 12%

Yahoo 8% 8%

Malayalamanorama 7% 7%

Eeandu 7% 7%

Thinamalar 5% 5%

Webduniya 4% 4%

Marathiworld 4% 4%

Webulagam 4% 4%

Tamilcinema 4% 4%

Keralakaumudi 3% 3%

Jagran 3% 3%

Esakal 3% 3%

Rediff 3% 3%

Kannadaaudio 2% 2%

Anandabazaar 2% 2%

Dainikjagran 2% 2%

Banglalive 2% 2%

Matrubhumi 1% 1%

Kumudam 1% 1%

Gujratsamachar 1% 1%

Amarujala 0.9% 0.9%

bbchindi 0.7% 0.7%

Deepika 0.7% 0.7%

Sakal 0.7% 0.7%

Vaartha 0.7% 0.7%

Dailythanthi 0.6% 0.6%

Dinakaran 0.6% 0.6%

Thatskannada 0.6% 0.6%

Epatra 0.5% 0.5%

Bhaskar 0.5% 0.5%

Maharashtratimes 0.3% 0.3%

Others 19% 19%

157

Table 79: Response to online marketing stimulus

Response Language Users All Users


Clicked a banner ad 52% 47%

Participated in an online contest 50% 43%

Clicked a sponsored search ad 48% 37%

Bid/Bought in an Online auction 28% 23%

Bought in a special promotion / deal 27% 21%

Clicked a product/service e-mailer 18% 14%


158

Table 80: Top of mind recall for brands

Tom Recall For Brands Language Users All Users


Nokia 8% 7%

Sony 8% 8%

Tata 6% 5%

LG 5% 4%

Colgate 4% 3%

Reliance 3% 3%

Intel 3% 0.9%

HLL 3% 3%

Adidas 3% 2%

Samsung 2% 2%

HP 2% 1%

Microsoft 2% 2%

Airtel 2% 0.9%

Coca Cola 1% 1%

Godrej 1% 2%

Bajaj 1% 1%

Google 1% 1%

Hero Honda 1% 1%

Pepsi 1% 2%

Philips 1% 1%

Maruti 1% 2%

Videocon 1% 0.7%

IBM 1% 1%

Nike 1% 3%

Sony Ericsson 1% 0.5%

Canon 0.8% 0.2%

Motorola 0.8% 0.4%

Nestle 0.8% 0.4%

Raymonds 0.8% 1%

Yahoo 0.8% 0.1%

BPL 0.7% 0.6%

Louis Phillip 0.7% 0.1%

Mercedes 0.7% 0.5%

Onida 0.7% 0.7%

Wipro 0.7% 0.6%

Britannia 0.6% 0.6%

Hutch 0.6% 0.2%

Reebok 0.6% 1%

BMW 0.5% 0.2%

Lifebuoy 0.5% 0.2%

Amul 0.4% 0.7%

Dabur 0.4% 0.4%

HCL 0.4% 0.5%

Lee 0.4% 0.5%

Pepsodent 0.4% 0.2%

BSNL 0.3% 0.4%

Cadbury 0.3% 0.6%

159

Compaq 0.3% 0.5%

Honda 0.3% 0.8%

Horlicks 0.3% 0.2%

Lakme 0.3% 0.7%

Levis 0.3% 0.9%

Lux 0.3% 0.2%

Nescafe 0.3% 0.1%

Nirma 0.3% 0.1%

Peter England 0.3% 0.4%

Rediff 0.3% 0.1%

Skoda 0.3% 0.1%

Toyota 0.3% 0.3%

Whirlpool 0.3% 0.4%

Amway 0.2% 0.3%

Arrow 0.2% 0.1%

Close Up 0.2% 0.2%

Dettol 0.2% 0.1%

Garnier 0.2% 0.3%

Hyundai 0.2% 0.3%

Infosys 0.2% 0.2%

ISI 0.2% 0.2%

Johnson & Johnson 0.2% 0.3%

Kingfisher 0.2% 0.3%

Maggi 0.2% 0.1%

Suzuki 0.2% 0.2%

P & G 0.2% 0.1%

Pantaloon 0.2% 0.3%

Parle 0.2% 0.4%

Surf 0.2% 0.4%

Tata Indicom 0.2% 0.1%

TVS 0.2% 0.2%

Voltas 0.2% 0.0%

Woodland 0.2% 0.2%

Yamaha 0.2% 0.3%

Apple 0.2% 0.4%

Sansui 0.2% 0.1%

Allen Solly 0.1% 0.1%

Bata 0.1% 0.4%

Denim 0.1% 0.2%

Fair & Lovely 0.1% 0.1%

Ford 0.1% 0.1%

GE 0.1% 0.0%

Hamam 0.1% 0.1%

Honda City 0.1% 0.1%

ICICI 0.1% 0.4%

IFB 0.1% 0.1%

ITC 0.1% 0.3%

John Players 0.1% 0.2%

Koutons 0.1% 0.1%

Lenovo 0.1% 0.3%

LIC 0.1% 0.1%

160

Mark & Spencer 0.1% 0.0%

MRF 0.1% 0.1%

Panasonic 0.1% 0.1%

Ponds 0.1% 0.3%

Provogue 0.1% 0.2%

Ray Ban 0.1% 0.1%

Red Label 0.1% 0.0%

Reid & Taylor 0.1% 0.0%

Rin 0.1% 0.1%

SBI 0.1% 0.0%

Siemens 0.1% 0.0%

Sify 0.1% 0.1%

Thums Up 0.1% 0.2%

Times of India 0.1% 0.1%

Titan 0.1% 0.4%

Axe 0.1% 0.1%

Lays 0.1% 0.1%

TCS 0.1% 0.1%

Glaxo 0.1% 0.0%

Liberty 0.1% 0.0%

Armani 0.0% 0.0%

Brooke Bond 0.0% 0.2%

Chevrolet 0.0% 0.0%

Citi Bank 0.0% 0.0%

Dell 0.0% 0.3%

Ferrari 0.0% 0.1%

Fevicol 0.0% 0.1%

Gillette 0.0% 0.1%

Gold Flake 0.0% 0.1%

Gucci 0.0% 0.1%

HDFC 0.0% 0.0%

Killer 0.0% 0.2%

Kodak 0.0% 0.1%

L`Oreal 0.0% 0.2%

Mahindra & Mahindra 0.0% 0.1%

Mcdonald 0.0% 0.1%

NIIT 0.0% 0.0%

Park Avenue 0.0% 0.1%

Parker 0.0% 0.1%

Pears 0.0% 0.0%

Pepe 0.0% 0.2%

Revlon 0.0% 0.1%

Rolex 0.0% 0.1%

Santro 0.0% 0.1%

Scorpio 0.0% 0.0%

Spykar 0.0% 0.2%

Taj 0.0% 0.1%

Tanishq 0.0% 0.0%

Tata Indica 0.0% 0.0%

Tata Motors 0.0% 0.0%

Tata Tea 0.0% 0.1%

161

Van Huesen 0.0% 0.1%

Versace 0.0% 0.1%

VIP 0.0% 0.1%

VSNL 0.0% 0.0%

Wills 0.0% 0.2%

Zodiac 0.0% 0.1%

Acer 0.0% 0.1%

Idea 0.0% 0.1%

L&T 0.0% 0.1%

Ranbaxy 0.0% 0.1%

Sahara 0.0% 0.1%

HSBC 0.0% 0.0%

MTNL 0.0% 0.0%

Satyam 0.0% 0.0%

Others 11% 14%

162

Appendix

163

Table 81: City type classification by market size

REGIONS

North South East West

Metros

Delhi Bangalore Chennai

Coimbatore Hyderabad

Kolkata Ahmadabad Mumbai

Pune Surat

Urban Uptowns

Faridabad Jaipur

Kanpur Lucknow Ludhiana

Patna

Kochi Madurai

Asansol Bhopal Thane Indore

Nagpur Vadodara

Emerging Towns

Amritsar Chandigarh

Dhanbad Ghaziabad

Thiruvanathapuram Tiruchirapalli

Vijayavada Visakhapatanam

Guwahati Aurangabad Goa

Jabalpur Nashik Rajkot

CIT

Y TY

PE B

Y M

AR

KET

SIZ

E1

Others

Agra Allahabad Dehradun Gurgaon Jodhpur Meerut Noida

Ranchi Varanasi

Others from North India

Mangalore Mysore

Secunderabad Others from South

India

Bhubaneswar Cuttack Raipur

Others from East India

Solapur Others from

West India

1 Above segmentation of Indian cities are basis their market size and not by the population size. Market size of a city is calculated basis the total annual household consumption expenditure of all household in that city/district. Total household consumption includes all possible household goods and services that a household usually spends on. For more details refer to ‘Market Skyline of India 2006’ Reports published by Indicus Analytics.

164

Table 82: Socio Economic Classification (SEC) Grid

Chief Wage Earner's Highest Education

Illiterate School

(Up to 4 yrs)

School (5-9 yrs)

Secondary/ High School

Not Grad.

Grad./ PG

(Gen.)

Grad./ PG

(Prof.)

Unskilled worker E E E D D D D

Skilled worker E E D C C B B

Petty traders E D D C C B B

Shop owners D D C B B A A

Businessmen/ industrialists – with no employee

D C B B A A A

Businessmen/ industrialists – with 1 to 9 employee

C B B B A A A

Businessmen/ industrialists – with 10+ employee

B B A A A A A

Self-employed professionals D D D B B A A

Clerical/ salesmen D D D C B B B

Supervisor level D D C C B B A

Officers/ executives (junior) C C C B B A A

Chie

f W

age

Earn

er's

2 Occ

upat

ion

Officers/ executives (middle/ senior)

B B B B A A A

2 Chief Wage Earner is the head of the household who contributes maximum to the monthly household income. It is assumed in Indian marketing and media space that the life style of a household is largely determined by the combination of head of household’s highest level of education and current occupation.

165

Index: Charts Chart 1: Vernacular language usage ......................................... 24 Chart 2: Gender breakup ...................................................... 28 Chart 3: Age group distribution .............................................. 29 Chart 4: City class - by population size ..................................... 30 Chart 5: City class - by market size.......................................... 31 Chart 6: Region-wise break-ups .............................................. 33 Chart 7: Socio economic classification ...................................... 35 Chart 8: Highest educational qualification ................................. 36 Chart 9: Occupational break up .............................................. 37 Chart 10: Function / field of occupation ................................... 38 Chart 11: Head of the household............................................. 39 Chart 12: Monthly family income ............................................ 40 Chart 13: Most expensive vehicle owned by the household.............. 41 Chart 14: Ownership of credit cards (individually)........................ 42 Chart 15: Current loan liabilities............................................. 44 Chart 16: Years of experience in using internet ........................... 45 Chart 17: Place of accessing internet ....................................... 46 Chart 18: Type of internet connection at home ........................... 47 Chart 19: Type of internet connection at office........................... 48 Chart 20: Service provider subscribed to at home ........................ 49 Chart 21: Service provider subscribed to at office........................ 50 Chart 22: Frequency of accessing internet from home ................... 51 Chart 23: Frequency of accessing internet from office................... 52 Chart 24: Time of the day accessing internet from home ............... 53 Chart 25: Time of the day accessing internet from office ............... 54 Chart 26: Duration of PC usage from home................................. 55 Chart 27: Duration of internet usage from home.......................... 56 Chart 28: Duration of PC usage vis-à-vis internet usage from home ... 57 Chart 29: Duration of PC usage from office ................................ 58 Chart 30: Duration of internet usage from office ......................... 59 Chart 31: Duration of PC vis-à-vis internet usage from office........... 60 Chart 32: Duration of internet usage during weekdays vis-à-vis weekends ........................................................................ 61 Chart 33: Time spent by internet users on watching TV ................. 62 Chart 34: Time spent by internet users on reading newspaper ......... 63 Chart 35: Time spent by internet users on listening to radio ........... 64 Chart 36: Professional activities ............................................. 66 Chart 37: Personal activities.................................................. 67 Chart 38: Downloading activities............................................. 68 Chart 39: E-commerce related activities ................................... 69 Chart 40: Online shopping..................................................... 70 Chart 41: Blogging activities .................................................. 71 Chart 42: Member of an online community................................. 72 Chart 43: Problems faced while surfing the internet ..................... 74 Chart 44: Multiple user shares of email websites ......................... 76 Chart 45: Number of email accounts and average per capita email ids 77 Chart 46: Response to online marketing stimulus ........................ 101

166

Index: Tables Table 1: Detailed Sample Base Distribution of the Land Survey .......... 6 Table 2: Desired online activities in Indian languages.................... 13 Table 3: Regional distribution of local languages content users ........ 13 Table 4: Popularity of ‘languages’ in the usage of local language content (Top 10)................................................................ 14 Table 5: Distribution of local languages content users by Town Class . 15 Table 6: Duration of internet surfing per usage day ...................... 16 Table 7: Online activities undertaken ‘relatively’ more by local language content users (Top 10) ............................................. 17 Table 8: Most popular online activities among the local language content users (Top 10)......................................................... 17 Table 9: Response to online marketing stimuli ............................ 19 Table 10: Preferred websites for checking local language content .... 19 Table 11: Preferred websites for checking English content ............. 20 Table 12: Most popular websites for specific online activities .......... 21 Table 13: Popularity of various internet activities ........................ 23 Table 14: Most used local language (other than English)................. 25 Table 15: Most used website for checking content in other language . 26 Table 16: Online activities desired in other languages ................... 27 Table 17: Top 10 cities ........................................................ 32 Table 18: Preferred language of reading ................................... 34 Table 19: Household asset ownership ....................................... 43 Table 20: Popularity of various internet activities ........................ 65 Table 21: Membership by type of online community ..................... 73 Table 22: Preferred websites - emailing.................................... 75 Table 23: Top of mind unaided recall - all websites ...................... 78 Table 24: Most used website - all websites................................. 79 Table 25: Info search (English) ............................................... 80 Table 26: Info search (local language) ...................................... 81 Table 27: Job search ........................................................... 82 Table 28: Online shopping (other than travel tickets).................... 83 Table 29: Online news ......................................................... 84 Table 30: Financial news & info (rates, quotes, etc.) .................... 85 Table 31: Online share trading ............................................... 86 Table 32: Real estate info..................................................... 87 Table 33: Matrimonial search................................................. 88 Table 34: Dating/friendship search.......................................... 89 Table 35: Social networking/communities ................................. 90 Table 36: Online gaming....................................................... 91 Table 37: Download mobile content......................................... 92 Table 38: Download music .................................................... 93 Table 39: Sports content ...................................................... 94 Table 40: Cinema content..................................................... 95 Table 41: Preferred blog sites ................................................ 96 Table 42: Favorite TV channels .............................................. 97 Table 43: Favorite newspapers ............................................... 98 Table 44: Favorite magazines ................................................ 99 Table 45: Favorite radio channels .......................................... 100 Table 46: Tom recall for brands............................................. 102

167

Index: Segment wise Detailed Tables

Table 1: Gender breakup..................................................... 104 Table 2: Age group distribution ............................................. 104 Table 3: City class - by population size .................................... 105 Table 4: City class - by market size ........................................ 105 Table 5: Cities.................................................................. 106 Table 6: Region-wise break-ups ............................................. 107 Table 7: Preferred language of reading.................................... 108 Table 8: Socio economic classification..................................... 109 Table 9: Highest educational qualification ................................ 109 Table 10: Occupational break up ........................................... 109 Table 11: Function / field of occupation .................................. 110 Table 12: Head of the household ........................................... 110 Table 13: Monthly family income ........................................... 110 Table 14: Most expensive vehicle owned by the household ............ 111 Table 15: Ownership of credit cards (individually)....................... 111 Table 16: Household asset ownership ...................................... 112 Table 17: Current loan liabilities............................................ 112 Table 18: Years of experience in using internet.......................... 113 Table 19: Place of accessing internet ...................................... 113 Table 20: Type of internet connection at home.......................... 113 Table 21: Type of internet connection at office ......................... 114 Table 22: Service provider subscribed to at home ....................... 114 Table 23: Service provider subscribed to at office....................... 115 Table 24: Frequency of accessing internet from home.................. 115 Table 25: Frequency of accessing internet from office ................. 116 Table 26: Time of the day accessing internet from home .............. 116 Table 27: Time of the day accessing internet from office .............. 117 Table 28: Duration of internet usage from home......................... 117 Table 29: Duration of internet usage from office ........................ 117 Table 30: Duration of internet usage during weekdays.................. 118 Table 31: Duration of internet usage during weekends ................. 118 Table 32: Duration of PC usage from home ............................... 118 Table 33: Duration of PC usage from office ............................... 119 Table 34: Time spent by internet users on watching TV ................ 119 Table 35: Time spent by internet users on reading newspaper ........ 119 Table 36: Time spent by internet users on listening to radio .......... 120 Table 37: Professional activities ............................................ 120 Table 38: Personal activities................................................. 121 Table 39: Downloading activities ........................................... 121 Table 40: E-commerce related activities .................................. 122 Table 41: Online shopping.................................................... 122 Table 42: Blogging activities................................................. 122 Table 43: Member of an online community ............................... 123 Table 44: Membership by type of online community .................... 123 Table 45: Usage of other language websites .............................. 124 Table 46: Online activities desired in other languages .................. 124 Table 47: Problems faced while surfing the internet .................... 124 Table 48: Top of mind unaided recall - all websites ..................... 125 Table 49: Most used website - all websites................................ 127 Table 50: Preferred website for emailing ................................. 128 Table 51: Multiple user shares of email websites ........................ 128 Table 52: Preferred website for job search ............................... 129

168

Table 53: Preferred website for mobile content ......................... 130 Table 54: Preferred website for sports .................................... 131 Table 55: Preferred website for travel products ......................... 132 Table 56: Preferred website for matrimony............................... 133 Table 57: Preferred website for financial news/info .................... 134 Table 58: Preferred website for cinema ................................... 135 Table 59: Preferred website for online share/stock trading............ 136 Table 60: Preferred website for games .................................... 137 Table 61: Preferred website for online shopping......................... 138 Table 62: Preferred website for online news ............................. 139 Table 63: Preferred website for friendship/dating ...................... 140 Table 64: Preferred website for music..................................... 141 Table 65: Preferred info search engine - local language................ 142 Table 66: Preferred website for real estate............................... 142 Table 67: Preferred info search engine - English ......................... 143 Table 68: Preferred website for instant messaging ...................... 143 Table 69: Preferred website for social networking/communities ..... 144 Table 70: Preferred website for astrology................................. 145 Table 71: Preferred website for online learning/education ............ 146 Table 72: Other language preferred for local content .................. 147 Table 73: Preferred blog sites ............................................... 148 Table 74: Most preferred TV channel....................................... 149 Table 75: Most preferred newspaper ....................................... 151 Table 76: Most preferred magazine......................................... 153 Table 77: Most preferred radio channel ................................... 155 Table 78: Preferred website for checking local language content .... 156 Table 79: Response to online marketing stimulus ........................ 157 Table 80: Top of mind recall for brands ................................... 158 Table 81: City type classification by market size ........................ 163 Table 82: Socio Economic Classification (SEC) Grid ...................... 164

JuxtConsult India Online 2007 Local Language Content Users Report

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