Mobile Outlook 2013
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1) Mobile app usage has grown tremendously since 2009, with gaming, social networking, and music being the most used app categories. 2) Time spent on mobile apps now exceeds time spent on the web or watching TV. Games and social media like Facebook are the most popular types of apps. 3) App revenue has also grown significantly since 2008, mainly from virtual goods and advertising. This revenue growth has outpaced the early web. 4) Mobile apps are disrupting many industries like retail, where commerce apps drove 200-300% sales growth, and media/entertainment, where apps are increasingly replacing TV viewing.
Mobile Outlook 2013
- 1. Title case / Helvetica 24. One line only. May 2013 Disruption: There’s an App for That Simon Khalaf, President & CEO
- 2. Title case / Helvetica 24. One line only. Worldwide in-application events measured by Flurry (Trillions) Disruption: There is an App for That Source: Flurry Analytics, January 2009 – January 2013 - 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 Jan 2009 Mar 2009 May 2009 Jul 2009 Sep 2009 Nov 2009 Jan 2010 Mar 2010 May 2010 Jul 2010 Sep 2010 Nov 2010 Jan 2011 Mar 2011 May 2011 Jul 2011 Sep 2011 Nov 2011 Jan 2012 Mar 2012 May 2012 Jul 2012 Sep 2012 Nov 2012 Jan 2013 Trillions Music Gaming M&E Social Networking Logistics & Travel Retail
- 3. Title case / Helvetica 24. One line only. - 20 40 60 80 100 120 140 160 180 Dec 2010 Dec 2011 Dec 2012 Sources: comScore, Alexa, U.S. Bureau of Labor Statistics, Flurry Analytics 70 162 66 72 168 94 70 168 127 Mobile ApplicationsWeb Browsing Television How Mobile Stacks Up Against TV and The Web U.S. Web vs. Mobile App vs. TV Consumption, Minutes per Day
- 4. Title case / Helvetica 24. One line only. It’s an App World, and Browsers Live in It ` BROWSERS APPS Games, 32% Facebook, 18% Safari, 12% Productivity, 2% Social Networking, 6% Utility, 8% News, 2% Entertainment, 8% Android Native, 4% Opera Mini, 2% Source: Flurry Analytics, Comscore Time Spent on Smartphones and Tablets App Other , 6%
- 5. Title case / Helvetica 24. One line only. 0 2 4 6 8 10 12 14 16 18 20 2008 2009 2010 2011 2012 App Revenue Is Scaling Billions($) Source: eMarketer, Mary Meeker (KPCB) Virtual Goods Advertising
- 6. Title case / Helvetica 24. One line only. U.S. display advertising and digital goods revenue Faster Revenue Ramp than The Web 0 2 4 6 8 10 12 14 16 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Billions($) Source: eMarketer, Flurry, Comscore MOBILE APPSWEB (BROWERS)
- 7. Title case / Helvetica 24. One line only. Retail: Revenue Growth Year-Over-Year 0% 50% 100% 150% 200% 250% 300% Retailers with Apps Online Marketplaces 257% 147% Source: Flurry Analytics- Sample Size 48 Apps, 22 million MAUs, sale of physical and digital goods (no IAP) Growth in Sales in Commerce Apps (Year- Over Year 2011- 2012) ~ 4.2 Billion USD in 2012 ~ 22 Billion USD in 2012
- 8. Title case / Helvetica 24. One line only. Disruption Across Multiple Industries 387% 268% 247% 237% 206% 198% 107% Social Media & Entertainment Shopping Productivity Utilities Travel Gaming 132% Source: Flurry Analytics Dec 2011- Dec 2012 WW Session in iOS and Android Apps (Dec 2011 – Dec 2012)
- 9. Title case / Helvetica 24. One line only. Distribution of time spent in media apps A Closer Look at Media & Entertainment Apps Networks 22% Studios 20% 2nd Screen Apps 11% Emerging Media 37% Others 10% Source: Flurry Analytics
- 10. Title case / Helvetica 24. One line only. Sources: Michael Zimbalist; Nielsen National People Meter; comScore Media Metrix Flurry 0% 10% 20% 30% 40% 50% 60% 70% 5:00 AM6:00 AM7:00 AM8:00 AM9:00 AM10:00 AM11:00 AM12:00 PM1:00 PM2:00 PM3:00 PM4:00 PM5:00 PM6:00 PM7:00 PM8:00 PM9:00 PM10:00 PM11:00 PM12:00 AM1:00 AM2:00 AM3:00 AM4:00 AM %ofAudienceShare TELEVISIONMEDIAAPPS Media & Entertainment Apps Behave Like TV Daypart comparison, people 15+ using medium, U.S.
- 11. Title case / Helvetica 24. One line only. Distribution of time spent in commerce apps The Rise of the App & Mortar Economy Source: comScore, Flurry Analytics Dec 2012 Retailers 27% Online Marketplaces 20%Purchase Assistance 17% Price Comparison 14% Daily Deals 13% Others 9%
- 12. Title case / Helvetica 24. One line only. Shopping Apps: Usage by Gender 5% 13% 19% 16% 2% 7% 10% 13% 14% 1% 13-17 18-24 25-34 35-54 55+ Age Group FEMALESMALES Source: Flurry Analytics
- 13. Title case / Helvetica 24. One line only. Shopping App Usage: Gender and Daypart 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% 5:00 AM6:00 AM7:00 AM8:00 AM9:00 AM10:00 AM11:00 AM12:00 PM1:00 PM2:00 PM3:00 PM4:00 PM5:00 PM6:00 PM7:00 PM8:00 PM9:00 PM10:00 PM11:00 PM12:00 AM1:00 AM2:00 AM3:00 AM4:00 AM FEMALESMALES Source: Flurry Analytics
- 14. Title case / Helvetica 24. One line only. up to 5 min 5 min to 20 min over 20 min 24% 62% 14% Shopping App Usage: Time Before Purchase Source: Flurry Analytics
- 15. Title case / Helvetica 24. One line only. Thank you