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    Sample internet-statistics-compendium Sample internet-statistics-compendium Document Transcript

    • Market Data / Supplier Selection / Event Presentations / User Experience Benchmarking / Best Practice / Template Files / Trends & InnovationInternet StatisticsCompendium Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendiumSample documentImportant This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.
    • Internet StatisticsCompendiumSample documentPublished 2011 Econsultancy London Econsultancy New York 4th Floor, The Corner 41 East 11th St., 11th Floor 91-93 Farringdon Road New York, NY 10003 London United States EC1M 3LNAll rights reserved. No part of this publication may be United Kingdom Telephone:reproduced or transmitted in any form or by any means, +1 212 699 3626electronic or mechanical, including photocopy, recording Telephone:or any information storage and retrieval system, without +44 (0)20 7269 1450prior permission in writing from the publisher. http://econsultancy.comCopyright © Econsultancy.com Ltd 2010 help@econsultancy.com
    • Contents 1. About this report .............................................................. 7 1.1. About Econsultancy .................................................................... 8 2. Usage and Demographics ................................................ 9 2.1. Global reach / penetration of interactive services ..................... 9 2.2. Media consumption figures: internet and other media ............ 13 2.2.1. Internet security..................................................................... 14 2.3. Connection speeds...................................................................... 15 2.4. Broadband adoption ..................................................................16 2.4.1. Levels of connectivity and broadband penetration ............... 16 2.5. Age and gender usage variations ...............................................18 2.6. What users are doing and looking at online ..............................18 2.6.1. What users are going online for............................................. 18 2.7. Instant messaging (IM) .............................................................. 21 2.7.1. Voice over internet Protocol (VoIP) ...................................... 21 2.8. Gaming ...................................................................................... 22 2.9. Podcasts ..................................................................................... 22 3. Video .............................................................................. 23 3.1. Market size and growth trends ................................................. 23 3.2. User generated video and video sharing .................................. 24 4. Audio .............................................................................. 25 4.1. Downloading music ................................................................... 25 4.2. Online radio ............................................................................... 25 5. Social Media ................................................................... 26 5.1. Social networking ...................................................................... 26 5.1.1. Market growth and trends ..................................................... 26 5.1.2. Twitter .................................................................................... 32 5.1.3. Facebook ................................................................................ 38 5.1.4. YouTube .................................................................................40 5.1.5. LinkedIn ................................................................................. 41 5.2. Blogging ..................................................................................... 42 5.3. Ratings and reviews .................................................................. 46 5.4. User generated content ............................................................. 50 5.5. Widgets ....................................................................................... 51 5.6. Online PR and reputation monitoring ...................................... 52 5.7. Viral marketing.......................................................................... 52 Internet Statistcs Compendium Sample Page 3 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • 5.8. Social gaming ............................................................................ 53 5.9. Social media and mobile ........................................................... 546. E-commerce ................................................................... 55 6.1. Market size and growth trends ................................................. 55 6.1.1. Online banking ....................................................................... 56 6.2. Conversion rates ........................................................................ 56 6.2.1. Shopping carts / dropout rates .............................................. 57 6.2.2. Site content optimisation....................................................... 57 6.3. Christmas ................................................................................... 58 6.3.1. 2009 ....................................................................................... 58 6.3.2. 2008 ....................................................................................... 58 6.4. B2B e-commerce ....................................................................... 58 6.5. Security and fraud ..................................................................... 59 6.6. Fulfilment and delivery ............................................................. 59 6.7. Online customer service ............................................................ 59 6.8. Mobile e-commerce ................................................................... 60 6.9. Social e-commerce .....................................................................617. Multichannel Marketing / Commerce ........................... 63 7.1. The business case for multichannel .......................................... 63 7.2. How online drives offline sales ................................................. 64 7.3. Use of offline channels to drive online sales ............................ 658. Customer Experience and Customer Engagement ....... 669. Usability ......................................................................... 6810. Search Engine Marketing .............................................. 69 10.1. Overall market figures ............................................................... 69 10.2. Local search ............................................................................... 70 10.3. Natural search / SEO / organic search ...................................... 71 10.4. Paid search / pay per click (PPC) .............................................. 74 10.5. Search conversion rates ............................................................ 76 10.6. Click fraud ..................................................................................77 10.7. Mobile search ............................................................................ 7811. Email Marketing ............................................................ 79 11.1. Market size and growth trends ................................................. 79 11.2. Plain vs. HTML .......................................................................... 84 11.3. Deliverability/delivery rates ..................................................... 85Internet Statistcs Compendium Sample Page 4All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storageand retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • 11.4. Open rates.................................................................................. 87 11.5. Click-through rates (CTR) / response rates ............................. 89 11.6. Use and effect of relevance and targeting ................................. 90 11.7. Opt-in/opt-out (permission marketing) ................................... 92 11.8. Unsubscribe ............................................................................... 92 11.9. Spam, virus email, spyware, phishing ...................................... 92 11.10. Transactional emails ................................................................. 9412. Internet Advertising....................................................... 95 12.1. Market size and growth trends ................................................. 95 12.2. Advertising formats ................................................................... 97 12.3. Online advertising response rates ............................................ 98 12.4. View-through rates .................................................................. 100 12.5. Brand and brand metrics ........................................................ 100 12.6. Targeting ................................................................................... 101 12.7. Online advertising rates ........................................................... 101 12.8. Online advertising networks .................................................... 101 12.9. Video advertising ...................................................................... 10113. Affiliate Marketing ....................................................... 103 13.1. Market size and trends ............................................................ 103 13.2. Affiliate revenue ...................................................................... 104 13.3. Linking methods and tracking ................................................ 104 13.4. Merchant and product selection ............................................. 10514. Web Analytics .............................................................. 106 14.1. Market size and trends ............................................................ 106 14.2. The business case for web analytics ........................................ 106 14.3. Web analytics tools ...................................................................10715. Site Performance and User Technology ...................... 108 15.1. Site speed and availability ....................................................... 108 15.2. Domain names......................................................................... 108 15.3. User technology (browsers) .................................................... 109 15.4. Mobile browsers ........................................................................111 15.5. Operating systems .................................................................... 113 15.6. JavaScript ................................................................................. 114 15.7. Display / screen resolution ...................................................... 115 15.8. Flash / Java / QuickTime penetration..................................... 116Internet Statistcs Compendium Sample Page 5All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storageand retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • 16. Mobile ........................................................................... 117 16.1. Mobile growth trends ............................................................... 117 16.1.1. Market size and demographics ............................................. 117 16.1.2. SMS ...................................................................................... 126 16.1.3. MMS and camera phones .................................................... 126 16.1.4. Mobile video ......................................................................... 126 16.1.5. Mobile audio ........................................................................ 127 16.1.6. Mobile applications.............................................................. 128 16.2. Mobile advertising .................................................................... 131 16.2.1. Advertising spend ................................................................. 131 16.2.2. Advertising impressions ...................................................... 132 16.2.3. Advertising recall ................................................................. 132 16.2.4. Advertising response ........................................................... 133 16.3. Mobile internet .........................................................................134 16.3.1. The iPad ............................................................................... 13717. Acknowledgements ...................................................... 139Internet Statistcs Compendium Sample Page 6All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storageand retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • 1. About this report Econsultancy‟s Internet Statistics Compendium is a collection of the most recent statistics and market data publicly available on online marketing, e-commerce, the internet and related digital media. The report is a one-stop shop for internet stats to help you quickly track down the latest data. The compendium is available as seven main reports, split across different geographical regions:  Asia-Pacific  Europe  Global / International  Latin America  Middle East and North Africa  North America  United Kingdom Statistics and data about the following topics are also included as separate reports:  Affiliate Marketing  Mobile  Customer Experience  Search Marketing  Demographics  Social Media  E-commerce  Technology Adoption  Email Marketing  Web Analytics  Internet Advertising The information contained – including charts and graphs – is taken both from proprietary Econsultancy data and from third party sources, credited throughout the document and in the acknowledgements at the end of each report. If there is data that you feel is inaccurate, missing, or incorrectly credited then please get in touch with Econsultancy‟s Research Director Linus Gregoriadis: linus@econsultancy.com or phone +44 (0)20 7269 1450. Likewise, if you would like to contribute data or research then contact us. Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 4 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • 1.1. About Econsultancy Econsultancy is a digital publishing and training group that is used by more than 200,000 internet professionals every month. The company publishes practical and timesaving research to help marketers make better decisions about the digital environment, build business cases, find the best suppliers, look smart in meetings and accelerate their careers. Econsultancy has offices in New York and London, and hosts more than 100 events every year in the US and UK. Many of the worlds most famous brands use Econsultancy to educate and train their staff. Some of Econsultancy‟s members include: Google, Yahoo, Dell, BBC, BT, Shell, Vodafone, Virgin Atlantic, Barclays, Deloitte, T-Mobile and Estée Lauder. Join Econsultancy today to learn what‟s happening in digital marketing – and what works. Call us to find out more on +44 (0)20 7269 1450 (London) or +1 212 699 3626 (New York). You can also contact us online. Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 5 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.2. Usage and Demographics2.1. Global reach / penetration of interactive services  Global online population forecast by region for 2014. [Source: Forrester, November 2010]  Share of global audience by region. [Source: comScore, September 2010] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 6 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.2.2. Media consumption figures: internet and other media  Over 40% of internet users already listen to or watch conventional TV while surfing the net. [Source: TGI, via MediaTel, July 2010]  Although men are in the majority across the global internet, women spend about 8% more time online, averaging 25 hours per month on the Web. [Source: ComScore, July 2010]  Television is “a universally important platform for video consumption”, with connected consumers in many markets spending 4+ hours per day watching television. [Source: How we watch: the global state of video consumption, Nielsen, July 2010]  Average daily media consumption [Source: Council For Research Excellence via Mediabrands Worldwide, July 2009] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 7 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.2.3. What users are doing and looking at online2.3.1. What users are going online for  Top 10 Countries for entertainment news. [Source: comScore, November 2010]  Worldwide internet users spend 4.6 hours using social media a week, compared to 4.4 hours using email. [Source: TNS, October 2010]  48% of online users are reading content (articles, blogs, websites). [Source: CMB Consumer Pulse, September 2010]  49% of online users are reading and writing emails. [Source: CMB Consumer Pulse, September 2010] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 8 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.  Consumers willing to pay for content [Source: Changing Models: A Global Perspective on Paying for Content Online, Nielsen, February 2010]Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 9 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.  Sharing paid content online [Source: Changing Models: A Global Perspective on Paying for Content Online, Nielsen, February 2010]3. Video2.4. Market size and growth trends  Online video: approximately 70% of global online consumers watch online video; but North Americans and Europeans lag in adoption. [Source: How People Watch: The Global State of Video Consumption, NielsenWire, August 2010] – More than half of global online consumers watch online video in the workplace.  Online video: approximately 70% of global online consumers watch online video; but North Americans and Europeans lag in adoption. [Source: How we watch: the global state of video consumption, Nielsen, July 2010] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 10 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.  Online video ads have a 65% general recall compared to 46% for TV ads. Brand recall online is also higher at 50%, compared to TV‟s 28%. Message online recall is 39%, compared to TVs 21%. Likability is at 26% online, compared to TVs 14%. Consistently, online ads had more impact on consumers. [Source: Nielsen video study, via Econsultancy blog, April 2010]6. Social Media6.1 Social networking2.4.1. Market growth and trends  Globally, women spend 30% more time on social networking sites than men. Women average 5.5 hours per month compared to men‟s 4 hours. [Source: ComScore, July 2010]  37% of UK smartphone users have a social networking app on their phones which they use at least once a week. [Source: Initiative, June 2010] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 11 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.2.4.2. Twitter  Twitter‟s global reach [Source: Business Insider, October 2010]  Twitter claim to have 190 million users and that there are some 65 million tweets a day. [Source: Econsultancy blog, July 2010]  75% of Twitter traffic is generated from outside of twitter.com. [Source: Econsultancy blog, July 2010]2.4.3. Facebook  40% of respondents clicked the „like‟ button for, or „liked‟, a company, brand or association on Facebook to receive discounts and promotions. [Source: ExactTarget, September 2010]  There are more than 60 million status updates on Facebook everyday. [Source: Facebook, August 2010]  30 billion pieces of content (web links, news blogs etc) are shared each month on Facebook. Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 12 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.7. E-commerce2.5. 7.1 Market size and growth trends  Retail site penetration across markets. [Source: comScore, October 2010]2.6. Conversion rates  Photos of people on a website can help double conversion rates. [Source: Think Vitamin, via GetElastic, October 2010]  70% of companies surveyed by Econsultancy said that their conversion rates had improved during 2009. [Source: Econsultancy RedEye Conversion Report, October 2009]2.6.1. Shopping carts / dropout rates  Only 34% of companies surveyed by Econsultancy perform shopping cart abandonment analysis. [Source: Econsultancy RedEye Conversion Report, October 2009]  46% of companies found shopping cart abandonment analysis to be highly valuable, while another 47% found it to be quite valuable. [Source: Econsultancy RedEye Conversion Report, October 2009] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 13 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.11. Search Engine Marketing11.1 Overall market figures  35% of online shoppers visited a particular etailer thanks to their visibility on search engines. [Source: eCommera, via Econsultancy blog, August 2010]  Google‟s image search is now receiving over 1bn page views each day. [Source: NetImperative, July 2010] – The search engine now has over 10bn pictures in its archive, which first launched in 2001 with only 250m.  The global market for SEM market is projected to reach US$50.68 billion by 2015. [Source: SEM Global Business Strategy Report, Global Industry Analysts, June 2010]2.7. 12. Email Marketing2.8. 12.1 Market size and growth trends  How marketers send emails [Source: Emailing in the Dark, ReturnPath, April 2010] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 14 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.  Budget changes 2010: Email Acquisition [Source: ExactTarget/Econsultancy supplemental survey data: Marketing Budgets 2010: Effectiveness, Measurement and Allocation, February 2010]  54% of organisations are planning to increase their email marketing budgets during 2010. [Source: Econsultancy/ExactTarget Marketing Budgets 2010, February 2010]  Around 90 trillion emails were sent through the internet in 2009. [Source: Pingdom, January 2010]  The average number of email messages per day is about 247 billion. [Source: Pingdom, January 2010]Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 15 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.14. Internet Advertising2.9. Market size and growth trends  Global internet advertising revenue was around $54 billion dollars in 2009. [Source: Morgan Stanley, via Business Insider, November 2010]  Facebook took 16% of the display ad market in the first quarter of 2010, up from 11% in the fourth quarter of 2009. [Source: comScore, via Econsultancy blog, July 2010]2.10. Online advertising response rates  Impact of various calls to action [Source: Dynamic Logic, September 2009] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 16 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.14. Mobile14.1 Mobile growth trends14.1.1 Market size and demographics  The number of smartphones in use globally is expected to hit 1.7 billion by 2013. [Source: Analysys Mason, July 2010]  Android 2.1 is now on 59.7% of Android phones. [Source: theNextWeb, August, 2010] – Android 2.2 is now installed on 4.5% of Android handsets – 1.5 and 1.6 still account for 35.6% of all Android devices  Top mobile devices, year on year [Source: Mobile metrics, Admob, May 2010]14.1.2 SMS  Approximately 58% of mobile operators believe SMS and MMS-based messaging will be one of the top 3 forms of marketing/advertising by 2015. [Source: Airwide Solutions, November 2010]  Forrester Research says that SMS campaigns regularly get response rates of 5% to 25%. [Source: Forrester Research, May 2009] Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 17 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.14.2 Mobile advertising14.2.1 Advertising impressions  Worldwide requests from Android devices increased 97% from October to December. [Source: Experian Hitwise, January 2010]  In June 2009, AdMob served ads on more than 16m unique iPhone and iPod Touch devices worldwide. [Source: AdMob, June 2009]14.2.2 Advertising response  61% of mobile operators predict coupons and vouchers to be the most widely accepted form of mobile marketing/advertising by 2015. [Source: Airwide Solutions, November 2010]  Women are 85% more likely to respond to mobile advertising than men. [Source: GfK / Limbo via ReadWriteWeb, February 2009]14.3 Mobile internet  Web-enabled smartphones now make up 20% of the 3 billion mobile devices worldwide, with market share heading towards 50% over the next 3-5 years. [Source: comScore, September 2010]15. Acknowledgements Econsultancy would like to thank the following organisations and individuals for information:Thomson Intermedia Blendtec NetExtract TalismaChannel Advisor eGain Royal Mail IngenioDatran Media Essential Research Nielsen Monitor-Plus Tapp, A.BSA Henley Centre PQ Media De Vos& JanseneGovernment News Logan Tod & Co. Postini Enquisite Princeton Survey Research M-MetricseCircle Kontraband Associates International Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 18 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.EIAA London Business School Thomson Intermedia Mobile Data Association360i eDigital Lyris Technologies ProspectivAccessibility Forum Elogisitcs Magazine M:Metrics PwC Quaestor Research andACNielsen Email Systems Macromedia Marketing StrategistsActinic EmailLabs Makovsky & Co QuestusAdmap EmailMonitor Marketing magazine Rax.ruAdTech AG eMarketer Marketing Week RCT AnalyticsAlchemyWorx Empirix MarketingProfs Receptional Employers’ Forum on ResponsysAmazon MarketingSherpa DisabilityAnalysys International Enpocket MarketingVox Return PathAnti-Phishing Group Enquiro McKinsey Revenue Science Entertainment Media RevolutionAOL MediaBuyerPlanner ResearchAOP Epsilon Interactive Media Contacts RightNow TechnologiesAP Equi-Media MediaPost RNIBAPACS eROI Merchant Risk Council Royal MailAtlas eTForecasts Merrill Lynch Russell ResearchAxon Publishing Eyeblaster MetaPack Scarborough ResearchBango Financial Times Millward Brown SciVisumBARB Forrester Mintel Search Engine GuideB2B Marketing Foviance Microsoft bCentral SearchEngineWatchBBC Fireclick Index MMXI SearchIgniteBCG Gallup Mobile Data Association SEMPOBCS Gartner Motorola Sento Corp Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 19 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010
    • Important This sample document is intended to give an indication of the type of data covered in the Internet Statistics Compendium and how information is presented. The content within each individual statistics document varies, depending on the availability of data.Ben Edelman GetSafeOnline MSN SEO-PRBenchmark Research GfK market research Mutual Points Silicon.comBernstein Research GMI silverPOPBigfoot Interactive Goldman Sachs Nakamura CommunicationsBIGResearch Gomez Net.Applications.com Site ConfidenceBizRate/Shopzilla Google National Sales Association SiteIntelligenceBloglines Group M National Statistics SkyClickZ IMRG Oneupweb Thomas, Townsend & Kent Online Publishers TNScomScore IMS Research AssociationCommtouch Informa Telecoms & Media ONS Touch ClarityCoremetrics InsightExpress Overture UnicaCornell University Intel Panlogic Universal McCannCranfield School of Interpublic Paypal University of OxfordManagementCyberSource IPA PCPRO Useit.com (Jakob Nielsen)Dave Chaffey iProspect Pew WebrootDeloitte Ipwalk Pheedo WebSideStoryDeutsche Bank iResearch PhoCusWright Wireless World ForumDigital Strategy Consulting iMedia Connection Point Topic Workplace Print MediaDoubleClick IRN Research Piper Jaffray & Co Yahoo!DirectGov ITFacts Pingdom Yankee Group If you feel any individual statistics have been inappropriately or inaccurately reproduced, or if you would like your organisation and data added / removed from the compendium, please contact Linus Gregoriadis, email: linus@econsultancy.com Sample only, please download the full report from: http://econsultancy.com/reports/internet-statistics-compendium Internet Statistcs Compendium Sample Page 20 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Econsultancy.com Ltd 2010