The document analyzes mobile metrics data from AdMob for March 2010. It finds that the Android ecosystem is becoming more diverse, with 11 devices now accounting for most Android traffic compared to just two devices previously. It also notes that Android traffic is now split relatively evenly between the three main Android OS versions. Finally, it examines characteristics of popular Android devices like screen resolution and keyboard types.
iSec Forum NYC - Smartphone Backdoors an Analysis of Mobile SpywareTyler Shields
This document discusses smartphone backdoors and mobile device spyware. It begins by defining mobile spyware and how it is often inserted by those with access to source code or distribution binaries. It then covers the motivations of attackers in using mobile spyware such as retrieving private data from targets and maintaining access. The majority of the document analyzes the growing use of smartphones and mobile platforms as targets for spyware, using statistics on unit sales and application availability across platforms. It concludes by examining several case studies of existing mobile spyware programs and incidents.
Richard Firminger discusses marketing in the mobile first era. He outlines the rise of mobile apps and how usage is surpassing web browsing. Tablet usage is more concentrated during primetime and oriented towards media and entertainment compared to smartphones. Mobile ad spending is growing significantly as marketers increase their mobile budgets. Apps are becoming media properties that can attract premium brand advertising, providing publishers with higher eCPMs. To do this, publishers need audience scale and targeting capabilities.
IT Hot Topics 2010 - The Coming Wave of Smartphone AttacksTyler Shields
The document discusses the growing threat of smartphone attacks through mobile spyware, analyzing case studies of existing spyware programs like FlexiSpy and Mobile Spy that can track locations, read messages and calls, and more without the user's knowledge. It also outlines the security mechanisms of BlackBerry devices and how spyware can be installed, along with its potential effects and technical details, and ways to detect spyware and areas for future work.
The Coming Wave of Smartphone Attacks - Texas DIRTyler Shields
The document discusses the growing threat of smartphone attacks through mobile spyware. It outlines several case studies of existing spyware programs, how they are installed and their concerning capabilities such as remote listening, location tracking and logging of calls, texts and emails. The document also examines the security mechanisms of BlackBerry devices and methods for detecting spyware. Overall, it warns that advanced attackers are increasingly targeting smartphones to stealthily steal private data from high-value targets.
Software Developers Forum 2010 - The Monkey Steals the BerriesTyler Shields
Malicious mobile applications can steal private user data, make unauthorized phone calls or SMS messages, and install additional malware. They may access location data, camera, contacts, and other sensitive resources without permission. Users are often unaware an app is malicious as attackers design apps to appear legitimate.
BRUCon 2010 - The Monkey Steals the BerriesTyler Shields
Here are some potential effects and behaviors of malicious mobile applications:
- Steal personal information like contacts, call logs, text messages, photos, location data
- Make fraudulent calls or send text messages to premium numbers without the user's knowledge
- Install additional malware payloads like keyloggers or remote access tools
- Disable security mechanisms like antivirus to allow other malware to infect the device
- Overwrite system applications or settings to persist even if the malware is uninstalled
- Spy on the user through microphone or camera without triggering any indicators
- Encrypt files or lock the device to demand ransom for its release
This document discusses the rapid growth of mobile apps and their impact on various industries. Some key points:
1) Worldwide mobile app usage has grown exponentially from 2009 to 2013 according to data from Flurry Analytics.
2) Time spent on mobile apps now surpasses time spent on the web and television in the U.S. based on data from comScore, Alexa and Flurry.
3) Mobile app revenue, driven by virtual goods and advertising, has grown faster than web revenue and reached $16 billion in 2012 according to eMarketer and Mary Meeker from KPCB.
4) Mobile apps are disrupting industries like social media, shopping, media and entertainment,
This document summarizes key metrics and trends from AdMob's November 2009 Mobile Metrics Report. Some of the key findings include:
- In the US, smartphones accounted for 48% of mobile traffic in November 2009, up from 30% a year prior, driven by increased iPhone and Android adoption.
- WiFi usage on mobile devices in the US tripled from November 2008 to November 2009, with 36% of iPhone traffic over WiFi.
- International growth of iPhone and iPod touch devices outpaced US growth, with the largest markets outside the US being UK, France, Canada, and Germany.
iSec Forum NYC - Smartphone Backdoors an Analysis of Mobile SpywareTyler Shields
This document discusses smartphone backdoors and mobile device spyware. It begins by defining mobile spyware and how it is often inserted by those with access to source code or distribution binaries. It then covers the motivations of attackers in using mobile spyware such as retrieving private data from targets and maintaining access. The majority of the document analyzes the growing use of smartphones and mobile platforms as targets for spyware, using statistics on unit sales and application availability across platforms. It concludes by examining several case studies of existing mobile spyware programs and incidents.
Richard Firminger discusses marketing in the mobile first era. He outlines the rise of mobile apps and how usage is surpassing web browsing. Tablet usage is more concentrated during primetime and oriented towards media and entertainment compared to smartphones. Mobile ad spending is growing significantly as marketers increase their mobile budgets. Apps are becoming media properties that can attract premium brand advertising, providing publishers with higher eCPMs. To do this, publishers need audience scale and targeting capabilities.
IT Hot Topics 2010 - The Coming Wave of Smartphone AttacksTyler Shields
The document discusses the growing threat of smartphone attacks through mobile spyware, analyzing case studies of existing spyware programs like FlexiSpy and Mobile Spy that can track locations, read messages and calls, and more without the user's knowledge. It also outlines the security mechanisms of BlackBerry devices and how spyware can be installed, along with its potential effects and technical details, and ways to detect spyware and areas for future work.
The Coming Wave of Smartphone Attacks - Texas DIRTyler Shields
The document discusses the growing threat of smartphone attacks through mobile spyware. It outlines several case studies of existing spyware programs, how they are installed and their concerning capabilities such as remote listening, location tracking and logging of calls, texts and emails. The document also examines the security mechanisms of BlackBerry devices and methods for detecting spyware. Overall, it warns that advanced attackers are increasingly targeting smartphones to stealthily steal private data from high-value targets.
Software Developers Forum 2010 - The Monkey Steals the BerriesTyler Shields
Malicious mobile applications can steal private user data, make unauthorized phone calls or SMS messages, and install additional malware. They may access location data, camera, contacts, and other sensitive resources without permission. Users are often unaware an app is malicious as attackers design apps to appear legitimate.
BRUCon 2010 - The Monkey Steals the BerriesTyler Shields
Here are some potential effects and behaviors of malicious mobile applications:
- Steal personal information like contacts, call logs, text messages, photos, location data
- Make fraudulent calls or send text messages to premium numbers without the user's knowledge
- Install additional malware payloads like keyloggers or remote access tools
- Disable security mechanisms like antivirus to allow other malware to infect the device
- Overwrite system applications or settings to persist even if the malware is uninstalled
- Spy on the user through microphone or camera without triggering any indicators
- Encrypt files or lock the device to demand ransom for its release
This document discusses the rapid growth of mobile apps and their impact on various industries. Some key points:
1) Worldwide mobile app usage has grown exponentially from 2009 to 2013 according to data from Flurry Analytics.
2) Time spent on mobile apps now surpasses time spent on the web and television in the U.S. based on data from comScore, Alexa and Flurry.
3) Mobile app revenue, driven by virtual goods and advertising, has grown faster than web revenue and reached $16 billion in 2012 according to eMarketer and Mary Meeker from KPCB.
4) Mobile apps are disrupting industries like social media, shopping, media and entertainment,
This document summarizes key metrics and trends from AdMob's November 2009 Mobile Metrics Report. Some of the key findings include:
- In the US, smartphones accounted for 48% of mobile traffic in November 2009, up from 30% a year prior, driven by increased iPhone and Android adoption.
- WiFi usage on mobile devices in the US tripled from November 2008 to November 2009, with 36% of iPhone traffic over WiFi.
- International growth of iPhone and iPod touch devices outpaced US growth, with the largest markets outside the US being UK, France, Canada, and Germany.
Somo - Investing in a Mobile Strategy (UK specific)Ross Sleight
Defining Somo's (the full service mobile marketing agency - http://www.somoagency.com) approach to developing mobile strategies for brands.
UK specific content.
Presented by Ross Sleight, Chief Strategy Officer of Somo, at The Future Digital Strategies conference in London on 16th November 2011
AdMob's monthly report provides insights into mobile app and website usage trends based on data from their network of over 15,000 mobile sites and apps. Some key findings:
- Smartphone traffic increased 193% in the past year and accounted for 48% of traffic in February 2010, up from 35% in February 2009, driven primarily by growth in iPhone and Android devices.
- Feature phone traffic declined from 58% to 35% of total traffic as users switched to smartphones, though feature phone traffic still grew 31% overall.
- Mobile internet device traffic grew the most at 403%, with the iPod touch responsible for 93% of that category's traffic.
- The top smartphone platforms were the
Digital advertising is becoming less effective as click-through rates decline. Only a small portion of internet users, around 8%, account for the majority of clicks on display ads. Additionally, heavy clickers are not representative of the overall online population in terms of their internet usage. However, digital advertising can still be effective for branding when measured by lift in awareness, purchase intent, favorability, and other metrics. It is also comparable to TV advertising in terms of driving sales, when accounting for frequency of exposure. The future of digital advertising effectiveness lies in more relevant metrics beyond clicks and the use of rich media formats with fewer ads to improve the user experience.
Quantacast Mobile Web trends report 2009guestd94b193
The document summarizes Quantcast's analysis of mobile web usage trends from 2007-2009. It finds that the share of web content consumed on mobile devices grew rapidly, with North American mobile web share up 110% in 2009. Apple continues to dominate the mobile market but its share has declined with increased competition from Android and other platforms. Android now accounts for over 12% of North American mobile pageviews, surpassing Blackberry. Motorola's Droid smartphone saw a 10x increase in Motorola's market share. The report provides insights into trends for major mobile platforms including Apple, Android, Blackberry, and others.
Source Boston 2010 - The Monkey Steals the Berries Part DeuxTyler Shields
The document discusses mobile spyware, providing background information and case studies of existing spyware programs like FlexiSpy and Mobile Spy. It notes the increasing popularity of smartphones and mobile applications as a driver for more mobile spyware. Key points covered include motivation for attackers, installation methods, effects and behaviors of spyware, and challenges around detection.
The document discusses the history and features of the HP webOS mobile operating system:
1. webOS was initially developed by Palm, which was later acquired by HP. It is designed to run on various hardware platforms using web technologies.
2. The user interface is built around web technologies like HTML, CSS, and JavaScript, allowing apps to be built quickly. It includes core apps and allows for additional apps.
3. Developers can easily create webOS apps using familiar web languages and tools are designed to be developer friendly. The SDK also allows moving C/C++ code to webOS.
Raleigh ISSA 2010 - The Monkey Steals the BerriesTyler Shields
The document discusses mobile spyware, including case studies of FlexiSpy spyware which allows remote monitoring of SMS, calls, emails, and location on smartphones. It also provides statistics on mobile operating system and application market shares. The presenter's background in security research and consulting is provided.
AdMob stores and analyzes data from each ad request to serve the most relevant ad possible. AdMob Mobile Metrics offers a snapshot of this data to provide insight into trends in the mobile ecosystem.
Our April 2010 report compares unique devices running the Android and iPhone Operating Systems (OS) in our network.
Android developers have opportunities to earn revenue from mobile advertising. AdMob data shows that Android traffic grew significantly from November 2009 to April 2010, though it remains smaller than iPhone traffic. The top Android handset brands are Nokia, HTC, and Samsung. Most Android devices run version 1.5 or 2.1 of the OS. Developers can use AdWhirl to integrate multiple mobile ad networks, maximize fill rates and revenues, and centrally manage monetization across iPhone and Android apps.
BIC5 Ian morgan google uk Making the Web Work for You 2012Wavelength
This document discusses how the internet economy in the UK is worth £100 billion and driven by online consumption. It notes that mobile devices are enabling new kinds of interactions, with 40% of tweets coming from mobile and 50% of map usage on mobile. The document also highlights that 74% of people use mobile in the shopping process and that mobile will soon surpass desktop internet usage. It argues companies need to have mobile-optimized websites to keep up with these trends of an increasingly mobile-focused internet.
The document summarizes findings from a study about smartphone users conducted in 2012. It found that 44% of respondents owned smartphones, up from 31% in 2011. The most popular platforms were Android at 46% and iPhone at 35%. Smartphone users tended to be older, with more balanced gender representation compared to 2011. They also tended to come from higher-income households, with over half of smartphone users having household incomes over $50,000.
Apple continued to be the top mobile device manufacturer and the iPhone was the most popular phone. Android maintained its lead as the top smartphone OS. Tablet usage increased and replaced some computer, TV, and eReader usage for activities like browsing, watching videos, and reading emails. The top mobile app categories were games, music, and social networking.
The document summarizes the Bulgarian EAS (enterprise application software) market outlook. It finds that the EAS market grew 1.7% in 2008 to $18.22 million despite economic slowdown. SAP was the leading vendor with 34.5% market share while Microsoft saw the fastest growth. The ERM (enterprise resource management) segment remained the largest but SCM and OMA saw stronger growth. Most EAS spending came from manufacturing and wholesale industries while the small business segment remained underpenetrated. The document provides recommendations on improving IT alignment with business needs and reducing costs.
7 Tips for Mobile Lead Generation - Oct. 2010Sparkroom
CUnet Mobile Marketing Strategist Akeel Haider updates his previous mobile presentation to reflect the changes in the dynamic mobile lead generation space.
Türkiye’deki akıllı telefon mobil internet kullanıcılarıErol Dizdar
Türkiye’de akıllı telefon üzerinden mobil internet kullanıcıları ile yaptığı ConsumerLab araştırmasını tamamladı. Türkiye’nin 26 şehrinde 1,500 kullanıcıyla yapılan araştırmada, akıllı telefon kullanımında son iki senedeki değişim, kullanıcıların 4.5G hakkındaki düşünceleri ve müşteri memnuniyeti konularını mercek altına alındı.
Somo - Investing in a Mobile Strategy (UK specific)Ross Sleight
Defining Somo's (the full service mobile marketing agency - http://www.somoagency.com) approach to developing mobile strategies for brands.
UK specific content.
Presented by Ross Sleight, Chief Strategy Officer of Somo, at The Future Digital Strategies conference in London on 16th November 2011
AdMob's monthly report provides insights into mobile app and website usage trends based on data from their network of over 15,000 mobile sites and apps. Some key findings:
- Smartphone traffic increased 193% in the past year and accounted for 48% of traffic in February 2010, up from 35% in February 2009, driven primarily by growth in iPhone and Android devices.
- Feature phone traffic declined from 58% to 35% of total traffic as users switched to smartphones, though feature phone traffic still grew 31% overall.
- Mobile internet device traffic grew the most at 403%, with the iPod touch responsible for 93% of that category's traffic.
- The top smartphone platforms were the
Digital advertising is becoming less effective as click-through rates decline. Only a small portion of internet users, around 8%, account for the majority of clicks on display ads. Additionally, heavy clickers are not representative of the overall online population in terms of their internet usage. However, digital advertising can still be effective for branding when measured by lift in awareness, purchase intent, favorability, and other metrics. It is also comparable to TV advertising in terms of driving sales, when accounting for frequency of exposure. The future of digital advertising effectiveness lies in more relevant metrics beyond clicks and the use of rich media formats with fewer ads to improve the user experience.
Quantacast Mobile Web trends report 2009guestd94b193
The document summarizes Quantcast's analysis of mobile web usage trends from 2007-2009. It finds that the share of web content consumed on mobile devices grew rapidly, with North American mobile web share up 110% in 2009. Apple continues to dominate the mobile market but its share has declined with increased competition from Android and other platforms. Android now accounts for over 12% of North American mobile pageviews, surpassing Blackberry. Motorola's Droid smartphone saw a 10x increase in Motorola's market share. The report provides insights into trends for major mobile platforms including Apple, Android, Blackberry, and others.
Source Boston 2010 - The Monkey Steals the Berries Part DeuxTyler Shields
The document discusses mobile spyware, providing background information and case studies of existing spyware programs like FlexiSpy and Mobile Spy. It notes the increasing popularity of smartphones and mobile applications as a driver for more mobile spyware. Key points covered include motivation for attackers, installation methods, effects and behaviors of spyware, and challenges around detection.
The document discusses the history and features of the HP webOS mobile operating system:
1. webOS was initially developed by Palm, which was later acquired by HP. It is designed to run on various hardware platforms using web technologies.
2. The user interface is built around web technologies like HTML, CSS, and JavaScript, allowing apps to be built quickly. It includes core apps and allows for additional apps.
3. Developers can easily create webOS apps using familiar web languages and tools are designed to be developer friendly. The SDK also allows moving C/C++ code to webOS.
Raleigh ISSA 2010 - The Monkey Steals the BerriesTyler Shields
The document discusses mobile spyware, including case studies of FlexiSpy spyware which allows remote monitoring of SMS, calls, emails, and location on smartphones. It also provides statistics on mobile operating system and application market shares. The presenter's background in security research and consulting is provided.
AdMob stores and analyzes data from each ad request to serve the most relevant ad possible. AdMob Mobile Metrics offers a snapshot of this data to provide insight into trends in the mobile ecosystem.
Our April 2010 report compares unique devices running the Android and iPhone Operating Systems (OS) in our network.
Android developers have opportunities to earn revenue from mobile advertising. AdMob data shows that Android traffic grew significantly from November 2009 to April 2010, though it remains smaller than iPhone traffic. The top Android handset brands are Nokia, HTC, and Samsung. Most Android devices run version 1.5 or 2.1 of the OS. Developers can use AdWhirl to integrate multiple mobile ad networks, maximize fill rates and revenues, and centrally manage monetization across iPhone and Android apps.
BIC5 Ian morgan google uk Making the Web Work for You 2012Wavelength
This document discusses how the internet economy in the UK is worth £100 billion and driven by online consumption. It notes that mobile devices are enabling new kinds of interactions, with 40% of tweets coming from mobile and 50% of map usage on mobile. The document also highlights that 74% of people use mobile in the shopping process and that mobile will soon surpass desktop internet usage. It argues companies need to have mobile-optimized websites to keep up with these trends of an increasingly mobile-focused internet.
The document summarizes findings from a study about smartphone users conducted in 2012. It found that 44% of respondents owned smartphones, up from 31% in 2011. The most popular platforms were Android at 46% and iPhone at 35%. Smartphone users tended to be older, with more balanced gender representation compared to 2011. They also tended to come from higher-income households, with over half of smartphone users having household incomes over $50,000.
Apple continued to be the top mobile device manufacturer and the iPhone was the most popular phone. Android maintained its lead as the top smartphone OS. Tablet usage increased and replaced some computer, TV, and eReader usage for activities like browsing, watching videos, and reading emails. The top mobile app categories were games, music, and social networking.
The document summarizes the Bulgarian EAS (enterprise application software) market outlook. It finds that the EAS market grew 1.7% in 2008 to $18.22 million despite economic slowdown. SAP was the leading vendor with 34.5% market share while Microsoft saw the fastest growth. The ERM (enterprise resource management) segment remained the largest but SCM and OMA saw stronger growth. Most EAS spending came from manufacturing and wholesale industries while the small business segment remained underpenetrated. The document provides recommendations on improving IT alignment with business needs and reducing costs.
7 Tips for Mobile Lead Generation - Oct. 2010Sparkroom
CUnet Mobile Marketing Strategist Akeel Haider updates his previous mobile presentation to reflect the changes in the dynamic mobile lead generation space.
Türkiye’deki akıllı telefon mobil internet kullanıcılarıErol Dizdar
Türkiye’de akıllı telefon üzerinden mobil internet kullanıcıları ile yaptığı ConsumerLab araştırmasını tamamladı. Türkiye’nin 26 şehrinde 1,500 kullanıcıyla yapılan araştırmada, akıllı telefon kullanımında son iki senedeki değişim, kullanıcıların 4.5G hakkındaki düşünceleri ve müşteri memnuniyeti konularını mercek altına alındı.
This year, the team at Activate has defined the 9 most important insights for tech and media in 2017. Key points:
*Super-serve the super-users and chase the attention unicorns
*Subscriptions will feed the world (or at least internet and media businesses)
*Learn to live with the discovery oligopoly
*The bot battles are about winning the great messaging war
*eSports is the next tech phenomenon
*You already know the new winners in Pay TV
*Video Streaming: The bundle is the future
*Audio: Smart Speakers, Gray Music
*Post-Household America: A new era of users
AdMob Mobile Metrics Report - February 2010AdMob Inc
AdMob stores and analyzes data from each ad request to serve the most relevant ad possible. AdMob Mobile Metrics offers a snapshot of this data to provide insight into trends in the mobile ecosystem.
Our February 2010 report separates the traffic in our network into three categories – smartphones, feature phones, and mobile Internet devices – to examine the growth rates of each over the past year.
- Smartphones accounted for 48% of AdMob's traffic in February 2010, up from 35% in February 2009, driven mainly by growth in iPhone and Android devices. Smartphone traffic increased 193% over the last year.
- Feature phone traffic declined from 58% to 35% as users switched to smartphones, though feature phone traffic still grew 31% over the last year.
- Mobile Internet device traffic, led by the iPod touch, grew the most at 403% and accounted for 17% of traffic in February 2010.
This document discusses mobile internet experiences, including browsing on mobile devices and mobile applications. It provides statistics on the growth of the mobile internet and smartphones. It details the main operating systems and profiles of mobile internet and smartphone users. The document also summarizes Rossel's mobile internet strategies, including their mobile website and successful iPhone application for Le Soir, which had over 46,000 downloads.
- Andrew Burgert is the GM of Mobile at Globant, a top software product development company in Latin America with over 2,600 employees and $100M in revenue.
- Globant was founded in 2003 and has 20 worldwide offices.
- Mobile devices like smartphones and tablets have seen huge growth, with US smartphone penetration reaching 35% by late 2011 and tablets growing to 12.8% of the US population in 2012.
The document discusses the mobile platform wars at MWC 2013. It summarizes the market share of different mobile operating systems like Android, iOS, Windows Phone, and others. It also discusses emerging platforms like Firefox OS, Ubuntu Touch, and Tizen. Finally, it questions whether these new platforms will succeed given Android and iOS's dominance, and why web-based platforms are emerging as alternatives to traditional platforms controlled by large companies.
GovCert.NL - The Monkey Steals The BerriesTyler Shields
The presentation discusses mobile malware and security. It provides background on mobile malware, including how it can be inadvertently or intentionally created in any programming language or operating system. It then covers attacker motivations like retrieving private data, and includes case studies of existing malware like FlexiSpy, Mobile Spy, and Etisalat that steal information like call logs, locations, and banking credentials. Finally, it discusses mobile security mechanisms and detecting malicious mobile applications.
The document summarizes the opportunity for mobile apps and content management systems. It notes that audiences want relevant mobile content through pull marketing. The MobilityCMS combines a cross-platform mobile app with a content management system to provide dynamic content updates and a consistent experience across devices. It then reviews mobile market trends and the MobilityCMS features, benefits, process and pricing.
The document is AdMob's Mobile Metrics Report for March 2009. Some key findings include:
- Android captured 6% of the US smartphone operating system market in March and requests increased 47% on average each month since its November 2008 launch.
- In March, the iPhone had 8 times more requests than Android in the US, while worldwide the iPhone and iPod touch together had 23 times more requests.
- Worldwide mobile requests handled by AdMob increased 17% month-over-month to 7.7 billion in March 2009.
The document summarizes the current state and trends in the Scandinavian mobile app market. It finds that while Symbian currently dominates the region, Android and iOS downloads are growing rapidly and will likely surpass Symbian by 2015. It recommends targeting iOS, Android and Symbian platforms for app development in Scandinavia and waiting on platforms like Blackberry, Windows Phone 7 and Samsung Bada due to smaller market shares. Revenue and downloads from mobile apps are also forecasted to increase 10-fold by 2015 worldwide.
Mobile apps and social media are growing rapidly. By 2015, two-thirds of mobile data traffic will be from video and there will be over 7 billion mobile connected devices worldwide, nearly equal to the global population. In 2010, over 8 billion mobile apps were downloaded and Android and iPhone users spend around 80 minutes per day on apps on average. More than 250 million users access Facebook on mobile devices.
The document discusses mobile messaging and provides statistics on smartphone usage and mobile activities in the UK. It shows that while smartphones are growing, non-smartphones still dominate the market. Android and iOS are the leading smartphone platforms. Messaging via text and pictures reaches more users than mobile internet or apps. The 18-24 age group uses mobile media like apps the most. Nearly half of UK firms fail to optimize their websites for mobile usage.
The document summarizes mobile market trends and forecasts in the UK based on data from mobileSQUARED. It finds that smartphone subscriptions are growing rapidly and will surpass feature phone subscriptions by the end of 2012. Android is also overtaking the iPhone as the leading smartphone platform. Usage of mobile internet, apps, advertising and commerce is also increasing significantly. The data shows strong growth of the Android platform and app usage over time.
Overcoming challenges of implementing mobile audience measurement studies in ...Merlien Institute
Presented by Beth Uyenco, Senior Vice President, International Research - ComScore
at Market Research in the Mobile World Asia-Pacific
30-31 January 2013, Kuala Lumpur, Malaysia
This event is proudly organised by Merlien Institute
Check out our upcoming events by visiting http://www.mrmw.net
Digital media has been growing exponentially in India. Here are some interesting statistics Snapshot of Digital India in a report compiles by Ethinos Digital Marketing
This document discusses mobile marketing strategies in the UK. It provides an overview of the mobile market, analyzing metrics like device ownership, message volumes, internet usage, and smartphone adoption rates. The key points are:
- There are 76 million mobile devices in the UK, with more phones worldwide than any other electronic good except radios.
- Smartphone ownership is growing rapidly, reaching 23% of the UK market, with Symbian and Apple being the most popular operating systems.
- While texting and multimedia messaging reach more users, mobile internet and app usage is growing fast, driven by younger demographics and falling data costs.
Interactive advertising trends. How it will affect Baltic marketsAll Digital Group
The document summarizes key trends in interactive and mobile advertising. It notes that internet advertising is growing rapidly and is on pace to overtake magazines and radio as a share of global ad spending by 2010. It also discusses the rise of mobile internet and how search giant Google is becoming a dominant player in various areas of online advertising. Social media and user-generated content are driving major changes in how information spreads online through platforms like blogs, social networks, and video sharing.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Building Production Ready Search Pipelines with Spark and Milvus
AdMob 2010 mart istatistikleri
1. AdMob Mobile Metrics Report
AdMob serves ads for more than 18,000 mobile Web sites and applications around the world. AdMob stores and analyzes the data from every
ad request, impression, and click and uses this to optimize ad matching in its network. This monthly report offers a snapshot of its data to
provide insight into trends in the mobile ecosystem.
March 2010
Find archived reports and sign up for future report notifications at metrics.admob.com.
2. AdMob Mobile Metrics Report
March 2010
New and Noteworthy
For this month's report, we examine the increasing diversity in the Android ecosystem, driven by the launch of new devices from different manufacturers with various form factors, capabilities, and OS versions over the past
seven months.
* Two Android devices, the HTC Dream and HTC Magic, collectively represented 96% of Android traffic in September 2009. Seven months later, 11 devices represented 96% of Android traffic in the AdMob network.
* In March 2010, Android traffic share on the AdMob network was divided relatively evenly between the three primary versions of the Android OS: Android 1.5 (38%), Android 2.0 / 2.1 (35%) and Android 1.6 (26%).
* Motorola was the leading Android manufacturer with 44% share of traffic in March 2010 due to the success of the Droid and CLIQ. HTC was a close second with 43% of requests, followed by Samsung with 9%.
* iPhone OS traffic is composed of two device types, iPhone (60%) and iPod touch (40%). The most popular iPhone OS device in the AdMob network is the iPhone 3GS, followed by the 2nd Generation iPod touch. The two
most recent versions of the iPhone OS generate 86% of the traffic. In March 2010, 44% of iPhone OS traffic came from devices running iPhone OS 3.1.3 and 42% from iPhone OS 3.1.2.
* The Android platform has experienced significant growth in monthly traffic over the past year. Android traffic has grown at a compounded monthly growth rate of 32% per month, going from 72 million requests in March
2009 to 2.0 billion in March 2010.
* AdMob overall worldwide traffic for March 2010 is up 18% month over month.
* Visit our metrics blog at metrics.admob.com for more commentary on the Mobile Metrics Report or to sign up for future reports.
AdMob publishes the Mobile Metrics Report to provide a measure of mobile Web and application usage from our network of more than 18,000 mobile Web sites and applications. AdMob share is calculated by the
percentage of requests received from a particular handset; it is a measure of relative mobile Web and application usage and does not represent handset sales. Please visit this blog post for more information on how to
interpret the Metrics report: http://metrics.admob.com/2009/10/placing-admob-metrics-in-context/.
Contents
Feature Section - Android OS Traffic by Handset
Feature Section - Android OS Version Share
Feature Section - Android Device Characteristics
Feature Section - iPhone OS Traffic by Handset and OS Version
Ad Request by Geography
Worldwide: Handset Data
United States: Handset Data
United Kingdom: Handset Data
Indonesia: Handset Data
Philippines: Handset Data
India: Handset Data
South Africa: Handset Data
Methodology
Find previous reports and sign up for future report notifications at metrics.admob.com. 2
3. AdMob Mobile Metrics Report
March 2010
Featured: Android OS Traffic by Handset
This month's feature section looks at the increasing diversity of the Android ecosystem in the AdMob network. In March 2010, there were 34 Android devices from 12 manufacturers
available to consumers.(1)
* Two Android devices, the HTC Dream and HTC Magic, collectively represented 96% of Android traffic in September 2009. Seven months later, 11 devices represented 96% of
Android traffic in the AdMob network.
* The Motorola Droid was the leading Android handset in March 2010 and generated 32% of worldwide Android traffic. The Google Nexus One only generated 2% of Android traffic in
March 2010.
* The top Android devices vary by country. The top three devices in the US were the Motorola Droid, HTC Dream and Motorola CLIQ. In comparison, the top three Android devices in
the UK were the HTC Hero, HTC Dream and HTC Magic.
Android OS Traffic by Handset, AdMob network
Worldwide
80%
70%
60%
Share of Requests
50%
40%
30%
20%
10%
0%
Sep-09 Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10
Motorola Droid HTC Hero HTC Dream HTC Magic Motorola CLIQ Samsung Moment
Samsung Behold 2 Google Nexus One HTC Tattoo Samsung Galaxy Spica Motorola Milestone Other
Notes
(1)
Jeff Huber - Google Q1 2010 Earnings Call
• In March 2010, AdMob received 2.0 billion requests from Android devices.
Find previous reports and sign up for future report notifications at metrics.admob.com. 3
4. AdMob Mobile Metrics Report
March 2010
Featured: Android OS Version Share
In the chart below, we breakdown Android traffic share by version of the OS in the AdMob network over the past seven months. The ability for an Android handset to upgrade its
version of the OS can be limited by the handset manufacturer and the carrier, causing fragmentation as new versions of the Android OS are released.
* In September 2009, the two devices that accounted for 96% of Android traffic were running version 1.5 of the Android OS (Cupcake). In October 2009, Android 1.6 (Donut) was
adopted rapidly and generated 69% of requests in the AdMob network.
* In November 2009, Android 2.0 (Eclair) gained momentum with the launch of the Motorola Droid. The Motorola Droid continues to generate the vast majority of requests of
Android 2.0/2.1.
* In March 2010, Android traffic share on the AdMob network was divided relatively evenly between the three primary versions of the OS: Android 1.5 (38%), Android 2.0 / 2.1 (35%)
and Android 1.6 (26%).(1)
Android OS Version Traffic Share, AdMob Network
Worldwide
100%
90%
80%
70%
60%
Share of Requests
50%
40%
30%
20%
10%
0%
Sep-09 Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10
1.5 (Cupcake) 1.6 (Donut) 2.x (Eclair)
Notes
(1)
Google has published data on the relative number of active devices running a given version of the Android platform: http://developer.android.com/resources/dashboard/platform-versions.html
Find previous reports and sign up for future report notifications at metrics.admob.com. 4
5. AdMob Mobile Metrics Report
March 2010
Featured: Android Device Characteristics
Until the launch of the iPad, iPhone OS developers only had to consider a single form factor when designing their applications. In contrast, the Android platform supports
many devices with different characteristics that must be taken into account when developing for the platform. In the table below, we explore the various characteristics of the
handsets that generate the largest percentage of Android traffic in the AdMob network. (1)
* Motorola was the leading Android manufacturer with 44% share of traffic in March 2010 due to the success of the Droid and CLIQ. HTC was a close second with 43% of
requests, followed by Samsung with 9%.
* Six of the top eight Android handsets have a display resolution of 320 x 480. These devices generated 60% of traffic in March 2010. The Motorola Droid (854 x 480) and
Google Nexus One (800 x 480) are the two devices with different resolutions.
* At least 54% of Android traffic came from devices with a QWERTY keyboard. These include three of the top five Android devices, the Motorola Droid, HTC Dream, and
Motorola CLIQ.
* 92% of traffic came from Android devices with a CPU slower than 600 MHz in March 2010.
% of March 2010
Handset
Android Traffic Operating System(2) Manufacturer Resolution (px) Keyboard CPU ROM; (expandable) RAM
Motorola Droid 32% 2.1 Motorola 854 x 480 Yes 550 MHz 512 MB; (32 GB) 256 MB
HTC Hero 19% 1.5 HTC 320 × 480 No 528 MHz 256 MB; (16 GB) 288 MB
HTC Dream 11% 1.6 HTC 320 x 480 Yes 528 MHz 256 MB; (16 GB) 192 MB
HTC Magic 11% 1.6 HTC 320 x 480 No 528 MHz 512 MB; (16 GB) 192/288 MB
Motorola CLIQ 10% 1.5 Motorola 320 x 480 Yes 528 MHz 512 MB; (32 GB) 256 MB
Samsung Moment 6% 1.5 Samsung 320 x 480 No 800 MHz 512 MB; (16 GB) 256 MB
Samsung Behold 2 2% 1.5 Samsung 320 x 480 No 528 MHz 512 MB; (16 GB) 320 MB
Google Nexus One 2% 2.1 HTC 800 x 480 No 1 GHz 512 MB; (32 GB) 512 MB
Other 6% - - - - - - -
Notes
(1)
Wikipedia and gdgt.com have useful information on Android device characteristics. We used publicly available sources to construct this table.
(2)
Reflects the latest version of Android OS supported by the handset.
Find previous reports and sign up for future report notifications at metrics.admob.com. 5
6. AdMob Mobile Metrics Report
March 2010
Featured: iPhone OS Handset and Operating System Distribution
As of March 2010 and prior to the launch of the iPad, there were six devices running the iPhone OS. While each of the iPhone and iPod touch devices have slightly different
characteristics, they have the same form factor and can run the same versions of the iPhone OS.
* iPhone OS traffic is composed of two device types, iPhone (60%) and iPod touch (40%). The most popular iPhone OS device in the AdMob network is the iPhone 3GS, followed by
the 2nd Generation iPod touch.
* Driven by new buyers and upgrades from existing owners, iPhone 3GS traffic share has increased from 30% in September 2009 to 39% in March 2010. The 1st Generation iPhone
only generated 2% of iPhone OS requests in March 2010.
* The 2nd Generation iPod touch generated over two times more traffic than the 3rd Generation iPod touch, which was released in September 2009.
* The two most recent versions of the iPhone OS generate 86% of the traffic. In March 2010, 44% of iPhone OS traffic came from devices running iPhone OS 3.1.3 and 42% from
iPhone OS 3.1.2.
iPhone OS Handset Distribution, Worldwide iPhone OS Version Distribution, Worldwide
March 2010 March 2010
2%
1% 3%
5% 4%
12% 1%
20%
2.x + 1.x
iPhone 1st Gen 44% 3.0
iPhone 3G
3.0.1
25% iPhone 3GS
3.1
iPod touch 1st Gen
3.1.1
iPod touch 2nd Gen
3.1.2
iPod touch 3rd Gen 42%
3.1.3
39%
2%
Notes
• In March 2010, AdMob received 6.1 billion requests from iPhone OS devices.
• This is the first time the Mobile Metrics Report has broken out traffic by generation of iPhone OS device. In the rest of the report, iPhone OS traffic is split into the iPhone and iPod touch only.
Find previous reports and sign up for future report notifications at metrics.admob.com. 6
7. Ad Requests by Geography - March 2010
Requests: 16,697,266,967
Country Requests % of Requests % Share Change Monthly Growth in Traffic Since Oct 2008 --Regions
Mar 2009 Regions
United States 7,670,208,973 45.9% -4.6% 3.5
5.0
India 1,231,754,039 7.4% 1.5% 4.5
3.0
Traffic Relative to March 2009
Indonesia 727,912,984 4.4% 0.7%
Traffic Relative to Oct 2008
4.0
United Kingdom 620,598,216 3.7% -0.5% North America
Africa
3.5
2.5 AsiaAsia
Canada 554,076,630 3.3% 0.4%
Western Europe
Eastern Europe
3.0
France 350,975,247 2.1% 0.0% Africa
Latin America
2.0
2.5 Latin America
North America
Japan 300,280,468 1.8% 0.1%
Eastern Europe
Australia & Oceania
China 299,797,197 1.8% 0.4% 2.0 Oceania
Western Europe
1.5
Mexico 283,936,786 1.7% 0.0% 1.5
South Africa 231,259,272 1.4% -0.3%
1.0
(1) (2)
Other Countries 4,426,467,155 26.5% Mar Nov Dec Jan Feb Mar April May June June Aug Sept Oct
Oct Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Total 16,697,266,967 100.0%
Region Requests % of Requests % Share Change
North America 8,224,752,143 49.3% -4.2%
Asia 4,197,004,360 25.1% 3.9%
Western Europe 1,830,108,169 11.0% -0.3%
Africa 885,066,330 5.3% 1.0%
Latin America 688,878,785 4.1% 0.5%
Eastern Europe 351,247,294 2.1% 0.3%
Oceania(3) 250,300,196 1.5% 0.0%
(2)
Other 269,909,690 1.6%
Total 16,697,266,967 100.0%
Notes
• Month-over-month share change calculated as % of current month requests less percent of prior month requests.
(1)
Other includes 76 countries having more than 10 million requests.
(2)
Other includes unclassified requests where the country of origin could not be determined. Targeted ads were not shown to these requests.
(3)
Oceania is defined by Australia, New Zealand and several islands in the Pacific Ocean.
Find previous reports and sign up for future report notifications at metrics.admob.com. 7
8. Worldwide Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, Worldwide Brand Model % of Requests Share Chg %(1)
All Devices Apple iPhone 22.2% -1.8%
100%
Apple iPod touch 14.7% -1.5%
15% 15% 15% 15%
90%
3% 4%
Motorola Droid 4.0% 0.2%
80% 4% 4% 4%
6% 5% 6% 6%
70% 8% 8%
Other Samsung SCH R350 1.5% 0.0%
7% 8%
Share of Requests
RIM
60% 11%
10% 11% 10% HTC Hero 1.5% 0.0%
SonyEricsson
50% 16% 15%
HTC HTC Magic 1.4% 0.1%
18% 18%
Motorola
40% HTC Dream 1.4% -0.2%
Samsung
30%
Nokia Motorola CLIQ 1.2% 0.0%
20% 36%
40% 40% 37% Apple
Nokia N70 1.0% 0.1%
10%
Nokia 3110c 1.0% 0.2%
0%
Dec-09 Jan-10 Feb-10
Q1, Q2, Q3, Q4 Mar-10 Total 49.7%
Top Smartphones, March 2010
Operating System Share, Worldwide Brand Model % of Requests Share Chg %(1)
Smartphone Only Apple iPhone 45.5% -4.1%
100%
4% 5%
Motorola Droid 8.2% 0.4%
5% 5%
90%
18%
HTC Hero 3.0% 0.0%
80% 20% 19% 21%
HTC Magic 2.8% 0.2%
70% Other
Share of Requests
60% 19% 21% 24% webOS HTC Dream 2.8% -0.4%
25%
Windows Mobile OS
50% Motorola CLIQ 2.5% -0.1%
RIM OS
40% Symbian OS Nokia N70 2.1% 0.1%
30% Android
50% 51% 50%
HTC Droid Eris 1.9% 0.0%
46% iPhone OS
20%
Nokia 6300 1.7% 0.4%
10%
RIM BlackBerry 8300 1.4% -0.1%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 71.9%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 16.7 billion requests Worldwide in March 2010. In March 2010, smartphone traffic share was 48%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 8
9. United States Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, United States Brand Model % of Requests Share Chg %(1)
All Devices Apple iPhone 19.9% -1.8%
100%
14% 12% 13%
Apple iPod touch 18.3% -2.6%
15%
90%
3% 3% Motorola Droid 8.6% 1.2%
4% 4% 3% 3%
80% 4% 4%
9% 9%
70%
10% 10% Samsung SCH R350 3.1% 0.3%
Other
Share of Requests
15% 15%
60% 17% 15% LG HTC Dream 2.8% -0.1%
RIM
50% 14% 15% Motorola CLIQ 2.5% 0.2%
16% HTC
14%
40% Samsung HTC Magic 2.4% 0.5%
30% Motorola
Apple
HTC Hero 2.4% 0.2%
20% 44% 43%
37% 38%
HTC Droid Eris 2.0% 0.2%
10%
Samsung SCH-R450 1.5% -0.4%
0%
Dec-09 Jan-10 Q1, Q2, Q3, Q4Feb-10 Mar-10 Total 63.5%
Top Smartphones, March 2010
Operating System Share, United States Brand Model % of Requests Share Chg %(1)
Smartphone Only Apple iPhone 39.4% -5.1%
100% 3%
3% 3% 3% 3%
Motorola Droid 17.0% 1.8%
3%
90% 7% 7% 7%
9% HTC Dream 5.5% -0.3%
80%
Motorola CLIQ 5.0% 0.2%
70%
39% Other
Share of Requests
45% HTC Magic 4.8% 0.8%
60% 47%
47% Windows Mobile OS
50% webOS HTC Hero 4.7% 0.3%
RIM OS
40% HTC Droid Eris 4.0% 0.3%
iPhone OS
30% RIM BlackBerry 8300 2.5% -0.1%
Android
46%
20% 39% 42%
36% Palm Pre 2.4% 0.1%
10%
Samsung Moment 2.1% -0.2%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 87.5%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 7.7 billion requests from United States in March 2010. In March 2010, smartphone traffic share was 50%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 9
10. United Kingdom Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, United Kingdom Brand Model % of Requests Share Chg %(1)
All Devices Apple iPhone 40.8% -1.7%
100%
7% 7% 9% 11% Apple iPod touch 24.8% -0.2%
2% 2%
90% 3% 3% 2% 3%
6% 5% 4% HTC Hero 2.7% 0.2%
4% 4%
80% 4% 4%
4% 5% 5%
5%
70%
6%
7% HTC Dream 1.5% 0.1%
7% Other
Share of Requests
60% RIM Sony PSP 1.3% 0.9%
Samsung
50% Nokia N73 1.2% -0.3%
HTC
40% SonyEricsson Samsung GT S5230 0.9% 0.1%
71% 75%
68% 66%
30% Nokia
Apple
Nokia 5800 XpressMusic 0.9% 0.1%
20%
RIM BlackBerry 8520 0.9% 0.3%
10%
Nokia N95 0.7% -0.1%
0%
Dec-09 Jan-10 Feb-10
Q1, Q2, Q3, Q4 Mar-10 Total 75.6%
Top Smartphones, March 2010
Operating System Share, United Kingdom Brand Model % of Requests Share Chg %(1)
Smartphone Only Apple iPhone 70.2% -3.4%
100%
4% 3% 4% 5% HTC Hero 4.7% 0.4%
7% 6%
90% 11% 11%
10% 10% HTC Dream 2.8% 0.3%
80% 11%
13%
Nokia N73 2.1% -0.5%
70%
Share of Requests
60% Other Nokia 5800 XpressMusic 1.5% 0.2%
RIM OS
50% RIM BlackBerry 8520 1.5% 0.5%
Symbian OS
40% 78% 79%
74% Android Nokia N95 1.2% -0.2%
70%
30% iPhone OS
Nokia N97 1.1% 0.5%
20%
HTC Magic 1.0% 0.0%
10%
Motorola CLIQ 1.0% 0.2%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 86.9%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 621 million requests from United Kingdom in March 2010. In March 2010, smartphone traffic share was 58%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 10
11. Indonesia Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, Indonesia Brand Model % of Requests Share Chg %(1)
All Devices Nokia E63 4.2% 1.4%
100%
14% 13% 14%
Nokia 5130 3.4% 0.6%
15%
90%
Nokia N70 3.1% -1.0%
80% 3% 3%
70%
Nokia 6300 2.5% 0.1%
24% 24% 23% 20% Other
Share of Requests
60% RIM Nokia 6600 2.4% -0.1%
Opera
50% Nokia 3110c 2.2% 0.1%
Samsung
40% Nexian Nokia E71 2.1% 0.6%
30% SonyEricsson
57% 57% 56% 57% SonyEricsson W200i 2.0% -0.3%
Nokia
20%
Nexian NX G922 1.9% -0.2%
10%
Nokia 7610 1.8% -0.3%
0%
Dec-09 Jan-10 Feb-10
Q1, Q2, Q3, Q4 Mar-10 Total 25.6%
Top Smartphones, March 2010
Operating System Share, Indonesia Brand Model % of Requests Share Chg %(1)
Smartphone Only Nokia E63 12.7% 4.1%
100%
3%
3% 3%
3%
3% 3% Nokia N70 9.3% -3.3%
90%
Nokia 6300 7.6% 0.1%
80%
Nokia 6600 7.2% -0.5%
70%
Share of Requests
60% Nokia E71 6.4% 1.8%
Other
50% iPhone OS Nokia 7610 5.5% -0.9%
92% 93% 93% 93%
RIM OS
40% Nokia N73 4.6% -0.7%
Symbian OS
30% Nokia 6120c 4.2% -0.3%
20%
Nokia 3230 3.6% -0.4%
10%
Nokia 5320 2.7% 0.4%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 63.7%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 728 million requests from Indonesia in March 2010. In March 2010, smartphone traffic share was 32%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 11
12. Philippines Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, Philippines Brand Model % of Requests Share Chg %(1)
All Devices Nokia N70 8.1% -1.4%
100%
Nokia 6630 4.2% -0.2%
90% 18% 16% 19% 22%
4%
Apple iPod touch 3.7% 0.7%
80% 3% 4%
6% 6% 4%
70%
6% Apple iPhone 2.8% 0.1%
7% 12% 7%
7%
Share of Requests
Other
60%
7% Nokia 3110c 2.5% 0.0%
Sony
50% Samsung Nokia 6680 2.3% -0.3%
Apple
40% Nokia 6120c 2.0% -0.3%
SonyEricsson
65% 62% 63%
30% 59%
Nokia Nokia N73 2.0% -0.4%
20%
Nokia 6300 2.0% -0.1%
10%
Nokia N80 1.7% -0.1%
0%
Dec-09 Jan-10 Feb-10
Q1, Q2, Q3, Q4 Mar-10 Total 31.3%
Top Smartphones, March 2010
Operating System Share, Philippines Brand Model % of Requests Share Chg %(1)
Smartphone Only Nokia N70 20.0% -1.7%
100%
7% 6% 6% 7% Nokia 6630 10.4% 0.3%
90%
Apple iPhone 6.9% 0.8%
80%
Nokia 6680 5.6% -0.3%
70%
Share of Requests
60% Nokia 6120c 4.9% -0.4%
Other
50% Nokia N73 4.9% -0.6%
92% 92% 92% 91% iPhone OS
40% Symbian OS Nokia 6300 4.9% 0.2%
30% Nokia N80 4.1% 0.0%
20%
Nokia 6600 3.7% 0.3%
10%
Nokia 5800 XpressMusic 3.6% 0.1%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 69.1%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 209 million requests from Philippines in March 2010. In March 2010, smartphone traffic share was 39%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 12
13. India Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, India Brand Model % of Requests Share Chg %(1)
All Devices Nokia 3110c 5.6% 0.1%
100%
Nokia 5130 5.4% -0.5%
90% 21% 21% 20% 23%
Nokia 7210 3.5% -0.1%
80%
70% 10% 9% 10%
9%
Nokia N70 3.4% -0.6%
Share of Requests
7% 7% 9% Other
60% 9% Nokia N2700 Classic 3.2% 0.1%
LG
50% Apple Nokia N80 2.4% -0.2%
SonyEricsson
40% Nokia 6300 2.2% -0.1%
Samsung
30% 60% 60% 59% 56% Nokia Nokia N73 2.2% -0.3%
20%
Nokia 6233 1.8% -0.1%
10%
Nokia 2626 1.5% 0.1%
0%
Dec-09 Jan-10 Feb-10
Q1, Q2, Q3, Q4 Mar-10 Total 31.2%
Top Smartphones, March 2010
Operating System Share, India Brand Model % of Requests Share Chg %(1)
Smartphone Only Nokia N70 13.0% -0.8%
100% 4%
5% 5% 4% Nokia N80 9.0% 0.2%
90% 5%
Nokia 6300 8.6% 0.3%
80%
Nokia N73 8.4% -0.3%
70%
Share of Requests
60% Nokia N72 5.4% -0.4%
Other
50% Windows Mobile OS Nokia 5800 XpressMusic 4.3% 0.4%
91% 89% 91% 93%
iPhone OS
40% Apple iPhone 4.0% -0.8%
Symbian OS
30% Nokia 6600 3.9% -0.4%
20%
Nokia 7610 3.3% 0.0%
10%
Nokia N95 3.2% 0.3%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 63.1%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 1.2 billion requests from India in March 2010. In March 2010, smartphone traffic share was 26%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 13
14. South Africa Handset Data - March 2010
Top Devices, March 2010
Device Manufacturer Share, South Africa Brand Model % of Requests Share Chg %(1)
All Devices Samsung SGH E250 5.6% 0.1%
100%
8% 9% 10% 10% Samsung SGH-M620 3.5% -0.3%
90% 5% 5% 4% 4%
8% 8% 8% 7%
LG KS360 3.4% -0.4%
80%
8% 8% 7% 7%
70%
Nokia N70 2.9% -0.2%
Share of Requests
Other
60% Samsung SGH E250i 2.7% 0.3%
Motorola
36% 36% 35% 34%
50% LG Motorola V360 2.7% -0.1%
SonyEricsson
40% Samsung GT S5233A 2.4% 0.1%
Samsung
30%
Nokia Samsung SGH J750 2.1% -0.2%
20% 36% 37%
35% 35%
Samsung SGH-J700 2.0% -0.2%
10%
SonyEricsson W350i 1.8% -0.1%
0%
Dec-09 Jan-10 Feb-10
Q1, Q2, Q3, Q4 Mar-10 Total 28.9%
Top Smartphones, March 2010
Operating System Share, South Africa Brand Model % of Requests Share Chg %(1)
Smartphone Only Nokia N70 12.3% -1.0%
100%
5% 6% 6% 6% Apple iPhone 6.6% 0.6%
90% 6% 6% 6% 7%
8% 7% 8% 7% Nokia 6300 6.4% 0.5%
80%
Nokia E63 5.1% -0.3%
70%
Share of Requests
60% Nokia 5800 XpressMusic 5.0% 0.5%
Other
50% iPhone OS RIM BlackBerry 8520 4.6% 0.2%
RIM OS
40% 81% 81% 81% 80% Nokia N73 4.4% -0.9%
Symbian OS
30% Nokia 6110 3.7% -0.3%
20%
Nokia 6210 3.7% 0.2%
10%
Nokia N97 3.4% 1.8%
0%
Dec-09 Jan-10 Feb-10 Mar-10 Total 55.2%
Notes
• Other includes unclassified impressions and other manufacturers with < 1% share.
• We received 231 million requests from South Africa in March 2010. In March 2010, smartphone traffic share was 23%. Please see page 15 for our definition of a smartphone.
(1)
Share change calculated as percent of March 2010 requests less percent of February 2010 requests.
Find previous reports and sign up for future report notifications at metrics.admob.com. 14
15. AdMob Mobile Metrics Report
March 2010
About AdMob
AdMob is one of the world's largest mobile advertising networks, serving billions of mobile banner and text ads a month across a wide range of leading mobile
Web sites and applications. AdMob helps advertisers connect with a relevant audience of consumers on mobile devices and gives publishers the ability to
effectively monetize their mobile traffic. Incorporated in April 2006, AdMob provides the tools, data, and business models fueling the explosive growth of
mobile media in more than 160 countries and territories worldwide.
About AdMob Mobile Metrics
AdMob serves ads for more than 18,000 mobile Web sites and applications around the world. AdMob stores and analyzes the data from every ad request,
impression, and click and uses this to optimize ad matching in its network. AdMob’s monthly report offers a snapshot of its data to provide insight into trends in
the mobile ecosystem.
Methodology
For every ad request AdMob analyzes information available in the user’s mobile browser. From this, AdMob determines device capabilities and more using
open source tools and a variety of proprietary techniques. The result is a snapshot of the devices viewing the more than 10 billion monthly ad requests and
impressions that flow through AdMob’s network. We believe this data will be valuable in identifying and tracking trends, evaluating market readiness and
more. AdMob also serves mobile ads into iPhone and Android applications. The traffic from these applications is included in the Metrics report.
There is no standard industry definition of a smartphone. AdMob's definition is based on Wikipedia: "A smartphone is a phone that runs complete operating
system software providing a standardized interface and platform for application developers" (http://en.wikipedia.org/wiki/Smartphone). AdMob classifies a
phone as a smartphone when it has an identifiable operating system and we continually update our list as new phones enter the market. Despite running the
iPhone OS, the iPod touch is not a phone, and thus not considered a smartphone based on this definition.
Limits of this Data
Representativeness - AdMob does not claim that this information will be necessarily representative of the mobile Web as a whole or of any particular country-
market. AdMob’s traffic is driven by publisher relationships and may be influenced accordingly. Because the data is pulled across ads served on more than
15,000 sites and applications, we feel the data will be useful and may help inform business decision making.
Ad Request Classification - For some handsets and operator networks, it is difficult to collect full handset data. AdMob categorizes these requests as
"unclassified" and does not serve targeted ads to these requests.
Please visit this blog post for more details on interpreting this report: http://metrics.admob.com/2009/10/placing-admob-metrics-in-context/
Questions
Email metrics@admob.com if you have any questions or feedback for future reports.
Email metrics@admob.com to sign up for future reports. Find previous reports and other resources at metrics.admob.com. 15