Flurry now measures apps used on more than 1 billion smartphones and tablets each month. As connected devices reach critical mass, marketers are more seriously incorporating mobile into the marketing mix. But there are pros and cons. While the collective size of the mobile audience is rivaling that of TV and other media, it still requires aggregating the audiences of many apps to reach what can be reached through a few TV programs. That said, the numbers are likely closer than you think. Additionally, mobile offers unique ways to engage consumers given its “always on, always present” characteristics.
In this report, we look into what it takes to reach comparably sized audiences across different media like television, print, online and mobile apps. We also drill down into how the size and engagement of the mobile app audience varies across days of the week and hours of the day, and how it presents unique opportunities.
Let’s start by considering when people use apps.
The chart above shows how app usage varies over the course of a day, cut by weekend versus weekday. Data used for this chart comes from the top 250 iOS and top 250 Android apps measured by Flurry Analytics during February 2013. Through the top apps Flurry sees, app usage spikes during primetime to a peak of 52 million consumers. Make a mental note of that number, because we’ll revisit it a little later.
Comparing weekday to weekend curves, the general shape is similar. App usage ebbs overnight and then grows throughout the day, peaking in the early evening. While weekends also have a distinct primetime window, they see higher daytime usage across the day between 9:00 AM – 5:00 PM, ostensibly when someone would normally be working. However, the overall difference in audience size during the day between weekdays and weekends is not substantially different. Let’s look at 11:00 AM, for example, when the number of people using apps varies the most between weekdays and weekends. The size of the audience during this time is only 25% greater on weekends. Looking at it another way, this means that during the normal workday, people use apps at least 75% as much as they do on weekends. This creates a unique opportunity for advertisers to reach desired audiences over the course of the day via mobile.
The App Audience: Big But Fragmented
Now, let’s return to that 52 million primetime app user number. To get to an audience of that size, you’d need to combine the circulation of the largest 200 weekend newspapers in the U.S. or combine the audiences for the 3 most highly rated primetime TV shows during a good TV week (e.g., The Big Bang Theory).
We believe this comparison says a couple of important things about the app audience: first that it has reached critical mass, and second that it is still highly fragmented relative to more traditional forms of media. Additionally, while we don’t compare costs in this study, it is far more affordable to reach an audience on mobile versus Print or TV.
Now let’s consider how the app audience compares to the audience that is reachable through larger digital devices like laptops and computers. Flurry measured 224 million monthly active users of mobile apps in the United States in February of this year. During the same month, comScore counted 221 million desktop and laptop users of the top 50 digital properties in the United States. From this, we conclude that the U.S. audience that is reachable through apps, albeit more fragmented, is now roughly equal to that which can be reached on laptops and desktops.
There’s An Audience for That, on Mobile.
Earlier this year, Morgan Stanley analyst Benjamin Swinburne showed that “There has been a 50 percent collapse in broadcast TV audience ratings since 2002.” As the prized 18 – 49 year old demo is further lured to digital media, marketers need to adjust. But the mobile industry also needs to do more to make media planning and buying more efficient for advertisers and agencies.
The more mobile ad networks increase their ability to deliver the right combination of reach and targeting, the easier it will be for advertisers to invest in mobile and leverage the unique value it offers. Mobile, in particular, can deliver different ads to different users within the same app or the same ad to similar types of people across different apps, based on the varying interests of those individuals. Dynamic segmentation is much more possible on mobile compared to earlier forms of broadcast media. Now, fast forward one year from now, by which time Flurry estimates the installed base of smartphones and tablets will have doubled to 2 billion active devices per month. That should leave marketers of nearly every product thinking: on mobile, there’s an audience for that.
Five years ago, the iPhone ushered in the era of mobile computing. Today, more than a billion consumers are “glued” to these devices and their applications, impacting nearly every aspect of their lives. For businesses, opportunities seem endless and disruption is everywhere. The list of disrupted industries is long, including communications, media and entertainment, logistics, education and healthcare, just to name a few.
The past five years at Flurry have been wildly exciting. We joined an industry just as gas was forming to ignite a Big Bang, and we’re still orienting ourselves within its rapidly expanding universe. Since early 2008, we’ve worked with tens of thousands of developers to integrate our analytics and ad platforms into their apps. Today our services have been added to more than 300,000 applications and we measure usage on more than 1 billion monthly active smart devices.
On the five-year anniversary of launching Flurry Analytics, we took some time to reflect on the industry and share some insights. First, we studied the time U.S. consumers spend between mobile apps and mobile browsers, as well as within mobile app categories. Let’s take a look.
Today, the U.S. consumer spends an average of 2 hours and 38 minutes per day on smartphones and tablets. 80% of that time (2 hours and 7 minutes) is spent inside apps and 20% (31 minutes) is spent on the mobile web. Studying the chart shows that apps (and Facebook) are commanding a meaningful amount of consumers' time. All mobile browsers combined, which we now consider apps, control 20% of consumers' time. Gaming apps remain the largest category of all apps with 32% of time spent. Facebook is second with 18%, and Safari is 3rd with 12% Worth noting is that a lot of people are consuming web content from inside the Facebook app. For example, when a Facebook user clicks on a friend’s link or article, that content is shown inside its web view without launching a native web browser (e.g., Safari, Android or Chrome), which keeps the user in the app. So if we return to the chart and consider the proportion of Facebook app usage that is within their web view (aka browser), then we can assert that Facebook has become the most adopted browser in terms of consumer time spent.
The App World
Five years into its existence, the app economy is thriving, with The Wall Street Journal recently estimating annual revenue of $25 billion. Once again, we have to appreciate that this economy did not exist until 2008. As we looked for possible signs of slowing, we could not find any, largely due to the fast adoption of tablets just after smartphones.
In fact, not only is the installed base of devices growing, but also the number of apps consumers use. Our next insight comes from studying how many apps the average consumer launches each day. For this snapshot, we compared three years of worldwide data, taking the 4th quarters of 2010, 2011 and 2012.
From left to right, we see that the average number of apps launched per day by consumers climbs from 7.2 in 2010 to 7.5 in 2011 and finally to 7.9 in 2012. This is not a material change, which is a good thing. To us, the steady growth rate indicates that the app economy is not yet experiencing saturation, as consumers steadily use more apps over time. And while there are more apps in the store, large numbers of them have short lifespans, such as books, shows and games. Assertions that people are using fewer apps in 2012 than they did in 2010 appear to be incorrect. While one could observe that consumers use only 8 apps per day among the million+ available between the AppStore and Google Play, one also needs to remember that the 8 apps each consumer uses varies widely. This creates a marketplace that can support diversified apps.
Finally, we studied a sample of more than 2.2 million devices that have been active for more than 2 years to understand the mix of new versus existing apps people use over time. To do so, we compared Q4 2012 to Q4 2010.
The chart above shows that, on average, only 17% of the apps used in Q4 2010 were in use earlier in the year on a device compared to 37% in Q4 2012. That means that 63% of the apps used in Q4 2012 were new, and most likely not even developed in 2011 (or possibly poorly adopted). We believe that with consumers continuing to try so many new apps, the app market is still in early stages and there remains room for innovation as well as breakthrough new applications.
The Web World
Looking again at the first chart in this study, while also considering the latest numbers from IDC, which projects that tablets will outsell desktops this year and notebooks next year, we draw the conclusion that the web, as we know it, is already facing a serious challenge. Does this mean the web is dead? We don’t believe so. On the contrary, we believe that the web will change and adapt to the reality of smartphones and tablets. Websites will look and behave more like apps. Websites will be optimized for user experience first and search engine optimization second. This supports the trend of mobile first and web second, which brings both mobile app and user experience design to the mobile web. Simply compare Target’s app on iPhone to its mobile web site (target.com) accessed from the iPhone. The mobile web site looks and behaves similarly to the Target app, albeit a little bit slower.
… and Facebook
Continuing to think about the first chart, it appears that mobile, once perceived as Facebook’s Achilles' heel, has become Facebook’s biggest opportunity. Consumers are spending an average of nearly 30 minutes per day on Facebook. Add to that Facebook's massive reach, as well as their roughly billion mobile users per month and you have a sizable mobile black hole sucking up peoples' time. The 30 minutes a day is a worldwide average which means a large group spends even more time on Facebook (possibly hours) watching and participating in what has become the ultimate reality show in which the actors are you and your friends.
The disruptive force of the mobile app economy has created opportunities, rising stars, instant millionaires, dinosaurs and plenty of confusion. However, one undeniable truth is that tablets and smartphones are eating up desktops, and notebooks and apps (including the Facebook app) are eating up the web and peoples’ time.
Flurry now detects about 1 billion smartphones and tablets in use around the world every month. In the last 30 days, we saw activity on more than 2,000 unique device models. As the device base grows, we’re seeing an increasing variety of screen sizes, from sub-smartphones to full-size tablets and beyond. This poses both challenges and opportunities for developers who must consider how audiences, usage behavior and app category affinities vary by form factor.
This report reveals which form factors and screen sizes consumers use most, and for what categories. For this study, we focused on the top 200 device models, as measured by active users in Flurry’s system, which represent more than 80% of all usage. Doing so, five groups emerged based on screen size:
1. Small phones (e.g., most Blackberries), 3.5” or under screens
2. Medium phones (e.g., iPhone), between 3.5” - 4.9” screens
3. Phablets (e.g., Galaxy Note), 5.0” - 6.9” screens
4. Small Tablets (e.g., Kindle Fire), 7.0” - 8.4” screens
5. Full-size tablets (e.g., the iPad), 8.5” or greater screens
Mid-Sized Smartphones Dominate. Phablets are a Fad.
The top bar in the chart below shows how the top 200 device models break down by form factor in the market. Starting from the left, 16% of devices have screen sizes that are 3.5 inches or fewer in diagonal length. 69% of devices are between 3.5 inches and 4.9 inches, which includes iPhone. The light gray are made up of “phablets” such as the Galaxy Note. The orange are small tablets such as the Kindle Fire and iPad Mini. Finally, the far right shows that 7% of the device models in use are full sized tablets such as the iPad. The two bars below show distributions by active devices (taking into account that some device models have more users than others) and the number of app sessions (taking into account that some device models get used for more app sessions per user than others), respectively.
Notice that while 16% of the device models in the market are small phones, they account for only 7% of active devices once users per device are taken into account and 4% of overall app sessions. The opposite is true for tablets, which account for 7% of the top 200 device models yet 15% of all active users and 13% of all app sessions. On the small end, we believe this is because smaller device models, including most BlackBerry devices, are older and therefore have fewer active users per model. They are also not as well-suited to apps because of their small screen sizes. Full-size tablets, however, are ideal for using applications and therefore see a disproportionately higher percent of sessions. They also tend to have more users per device model since this class of devices has been dominated by iPad.
The ‘Is it a phone or is it a tablet’ devices otherwise known as phablets have attracted interest, but currently command a relatively small share (2%) of the device installed base, and their share of active users and sessions is also relatively small.
Form Factor Varies by OS
Not surprisingly, the form factor share of device models and active device users varies by operating system. The chart below shows share of active users by form factor for the different OSs. Inspecting the chart, medium phones are the dominant form factor on all operating systems, except Blackberry, which still has more active users on small phones. Android owns the phablet market and also has the greatest proportion of devices using small tablets. iOS has the greatest share of active devices using large tablets. The only Windows device models that are in the top 200 device models in terms of active users are medium-sized phones.
Tablets Are Gaming Machines
The chart below shows how total time spent in select popular categories is distributed across form factors.
Starting at the top, notice that nearly a third of time spent playing games take places on larger devices, namely full-sized tablet, small tablets and phablets. And while they command consumer time spent, they represented only 15% of device models in use in February and 21% of individual connected devices. These differences are statistically significant.
Studying books and videos, it’s somewhat surprising that tablets, which possess larger screens, do not see a larger proportion of time spent. An explanation for the high concentration in time spent in smartphones could be that consumers watch videos from their smartphones on-the-go (e.g., commuting to work on public transit), whereas they opt for a bigger screen to watch video (e.g., computer or TV) when at work or home. We expect that tablets may represent a greater share of time spent in book and video apps in the future as tablet ownership expands and tablet owners branch out into more types of apps.
Consumers Signal Preference for Smartphones & Tablets
As OEMs experiment with an ever-expanding array of form factors, developers need to remain focused on devices most accepted and used by consumers. From our study, consumers most prefer and use apps on medium-sized smartphones such as the Samsung Galaxy smartphones and full-sized tablets like the iPad. In particular, smaller smartphones under-index in terms of app usage compared to the proportion of the installed base they represent, and would suggest they are not worth developers’ support. Phablets appear to make up an insignificant part of the device installed base, and do not show disproportionately high enough app usage to justify support. Tablets, on the other hand show the most over-indexing of usage, especially in games. The success some game developers are having with a tablet-first strategy, like dominant game maker Supercell, may also inspire developers of other types of apps to consider focusing on tablets.
Suppose you’re an app developer who wants to ensure that your app is optimized to function well on 80% of the individual connected devices currently in use (e.g., my iPad, your Windows phone). How many different device models (e.g., Kindle Fire HD 8.9" Wi-Fi, Galaxy S III) do you think you need to support? 156. Maybe you’re okay with having your app optimized for only 60% of active devices. That still means that you need to support 37 different devices. Even getting to 50% means supporting 18 devices, as shown below. If you’re a large or particularly thorough app developer, reaching 90% of active devices will require supporting 331 different models.
The dominance of iOS and Android platforms has obscured the proliferation of connected device models. During January, Flurry detected 2,130 different device models with active users (defined as having app sessions during January), including 500 different device models with at least 175,000 active users.
20% of Device Models Is Still a Big Number
Using the 80/20 rule, the market for devices might even seem concentrated: just over 7% of device models account for 80% of active users. Still, the large total number of device models in use poses challenges for developers.
It’s obvious that different apps are required for different platforms. Developers can choose to serve only a portion of the app market by developing apps for only a subset of operating systems (and consequently a subset of device models). Even having made that choice, though, adaptations may be required to accommodate different versions of the same platform (e.g., iOS 6.x versus iOS 5.x, forked versions of Android, etc.), smartphones versus tablets and the increasingly wide variety of screen sizes and aspect ratios in which those devices are now available.
Developing apps on the device models that represent the majority of devices currently in active use has become an expensive and time-consuming process. Not optimizing or testing apps on devices being used by even a minority of people exposes developers to negative user experiences and potentially to buying expensive devices to troubleshoot problems as they arise.
Is the Market for App Development Ripe for Consolidation?
This fragmentation has the potential to change the app ecosystem by making it harder for small developers to compete since they are unlikely to have the resources to support the growing list of device models currently in use. They may also be disadvantaged in economies of scale in promotion (including word of mouth) if their apps are not available or do not work well on most device models. Scale is likely to be increasingly important when it comes to app development and that may lead to consolidation within the app development industry.
Developer surveys, such as Vision Mobile’s, consistently show that the revenue distribution for app developers is highly skewed: only a minority of developers make more than $500 per app per month. The increasing need for scale to ensure full functionality on the full range of connected device models in use may help explain why. The growing challenge of discoverability in an increasingly crowded app market is also likely to be part of the explanation.
So what is a small developer to do? One strategy is to focus on the device models used by the greatest number of people. Surveys consistently show that developer commitment to iOS is disproportionately strong relative to the market share for iOS devices. Our results suggest this trend is probably a consequence of developers seeking efficiency (the most users for the least work) because device models running on the iOS platform average 14 times the number of active users than device models running on other platforms. This is shown in the chart below in which the average number of active users for device models running on different operating systems are indexed to Android (where Android = 1).
It’s difficult to fully disentangle platform from manufacturer and comparing devices made by Apple to devices made by the three other device manufacturers with the greatest average number of active users per device model tells a similar story. This is shown in the chart below – this time indexed so the average number of active devices per Samsung device model = 1. As shown in the chart, on average Apple device models have more than seven times as many active users as Samsung device models and more than four times as many as Amazon device models.
App Sessions Are More Concentrated than Active Devices
Of course, some people use their devices more than others and many developers prefer to target heavier app users. So what about app sessions? They are somewhat more concentrated than active devices. As shown below, for developers to ensure they were optimized on the devices responsible for 50% of app sessions conducted during January, they would have needed to support only eight different device models and to cover 80% of sessions they would have needed to support 72 different device models. That’s still a lot of device models, but it’s less than half the device models required to reach 80% of active devices.
In addition to having more active devices per device model than other platforms, iOS device models average more app sessions per active device than device models running on other platforms. This is shown below, again using an index for which app sessions per active Android device are set to one. This further clarifies why developer support for iOS is disproportionate to iOS’ share of the installed device base. Developers can reach more active devices by developing for a smaller number of device models on iOS and they can also capture the attention of very active users. People who have iOS devices tend to have more app sessions, creating more opportunities for in app purchases, advertising revenue and paid app purchases.
Viewed at the manufacturer level, Apple device models average more sessions per device than device models made by the other manufacturers previously shown. This is shown below, again indexed so that average sessions per Samsung device = 1.
The App Development Company
With competition in the device market heating up, manufacturers seem likely to fill and expand product lines with an increasing number of devices intended to differentiate themselves and address the preferences of specific types of users. That implies that it will only become more difficult for developers to optimize, test and support their apps for use on all device models. And yet doing exactly that is likely to be increasingly important for app developers given the market for apps is also becoming more crowded and more competitive, making negative user experiences more damaging. Promoting apps and leveraging that investment in promotion across as many potential users as possible will also become all the more critical. Putting all of this together, we expect a future in which app developers are less frequently individuals with a creative idea and a laptop and more frequently, companies designed to develop, produce and distribute apps at scale.
Flurry recently revealed that China’s installed base of smartphones and tablets surpassed that of the United States. Further, two thirds of all app sessions now occur outside the United States. With the app market becoming increasingly international, developers need to better understand how app consumer behavior varies across different countries to remain competitive.
This report focuses on how the top 30 heaviest app using countries vary in terms of app usage. As developers build apps for the largest international markets, they need to consider deviating from what has worked in the United States, the former number one market. Can developers simply localize for different markets, or are there meaningful cultural differences in app usage to consider? How different is behavior in China and India, the world’s two most populous countries?
For this study, Flurry grouped countries according to their similarity in app category usage using cluster analysis. Cluster analysis is a statistical technique that creates groupings based on associations; in this case, among the proportions of app users who use different categories of apps. This technique controlled for differences in populations, device penetration rates and app store taxonomies. We ran this analysis for the top 20,000 apps in the 30 heaviest app using countries as of January 2013. For purposes of this report, we focus on app categories used by at least 5% of app users in at least one country cluster. We also excluded social networking, since use of those apps tends to be more country-specific.
Membership in the resulting country clusters are discussed next, followed by a description of some of the differences in app engagement across country clusters.
App Usage Around the Globe
The cluster analysis process produced six country groupings shown in the map below and the country list that follows.
As shown in the map above, the first group of countries in blue is made up of countries that tended to be early adopters of mobile technologies.
The second category, in purple, is comprised of the most hyper-connected parts of Asia: South Korea, Hong Kong and Taiwan.
China and Japan had app usage patterns that were unique to them, making each country its own cluster.
Most of the countries in green are neighbors in South East Asia; however, app usage patterns across the Pacific in Mexico also put it in that same category.
The final category, in yellow, includes many large countries, such as Brazil, Russia and India as well as smaller but influential countries such as Switzerland and Israel. Besides sharing similarities in app usage, these countries tend to have lagged behind the Mobile Pioneer and Connected Asia countries in adopting mobile technologies.
Countries shown in gray were not included in the analysis because they are not among the 30 heaviest app using countries.
Interest In Gaming Is Global. Genre Preferences Are Local
The chart below shows the proportion of app users who used apps within each of the gaming categories shown, as defined in Google Play, during January 2013.
Overall, games are the most-used types of apps in each country cluster, with the biggest Android game category being Arcade and Action games for all country clusters. While Android game categories follow a similar rank ordering across country clusters, there is clear variation between clusters. For example, compared to app users in Japan, almost twice the proportion of app users in the Equatorial Pacific country cluster use Android Arcade and Action games. And while countries in the Mobile Pioneers’ cluster are among the most enthusiastic users of Casual Games and Brain and Puzzle Games, they are less enthusiastic users of Arcade and Action games compared to those in most other country clusters.
The chart below shows similar data for iOS apps within each of the gaming categories as defined by the Apple App Store. Please note that these classifications have changed over time and that games are assigned to categories by developers; however those things are common to all countries and therefore should not, on their own, result in differences between countries.
Once again, note that the main Games category attracts a large proportion of people who use any iOS apps, and that the Equatorial Pacific has the greatest proportion of users and Japan has the least though the differences are not as great for iOS as they are for Android. It’s interesting to note that while Japan tends to lag the other country clusters in the proportion of device users engaging with most game app categories, the country that gave us karaoke leads in the proportion of app users who use iOS Music Games.
Interest In Productivity and Utility Apps Varies
While Japanese app users are disproportionately unlikely to play most types of games (with the exception of music, as noted above), they are disproportionately likely to use productivity and utility apps. Chinese app users are also disproportionately heavy users of these more functional types of apps.
Use of More Lifestyle-Oriented Apps Maps To Offline Behavior
Hobbies often associated with Japan came through in app usage for music games, and also in use of lifestyle-oriented apps in terms of Japanese enthusiasm for photography. Japanese device owners are more likely than device owners in other country clusters to engage with photography apps on both iOS and Android devices. Entertainment categories within both app stores are fairly broad so it’s not entirely clear why, but those from China and the Lumbering Giant country clusters are disproportionately heavy users of Entertainment apps on both of the major mobile operating systems.
Mapping the Future of Apps
While this analysis only scratches the surface of variation in usage of 20,000 apps across more than 800 million devices being used in 30 different countries, it shows systematic variation across country clusters even at a high level. This has important implications considering the great potential for growth of connected devices and app use in countries and country groupings such as China and the Lumbering Giants, given their large populations and relatively low current rate of device penetration. App usage patterns in those places don’t always mirror those in Mobile Pioneer countries, which up until now have been the source of a lot of app development. For example, productivity and utility apps are more popular in China and Japan than they are in the United States. Differences such as these suggest that app developers in Mobile Pioneer countries may need to give greater consideration to the usage patterns and preferences of those in other countries or else that we may see growing app developer communities in some of those other countries.
Just days into the Chinese New Year (Year of the “Snake” for anyone keeping track), China has passed the U.S. to become the world’s top country for active Android and iOS smartphones and tablets. This historic milestone takes place a year after Flurry first reported that China had become the world’s fastest growing smart device market. Since then, it took China’s rapidly growing middle class just twelve months to close the gap on the U.S.
For this report, Flurry uses its entire data set, tracking more than 2.4 billion anonymous, aggregated application sessions per day across more than 275,000 applications around the world. Flurry estimates that it reliably measures activity across more than 90% of the world’s smart devices.
Reviewing the chart shows that China and the U.S. had roughly the same active smart device installed base in January 2013, 222 million in the U.S. versus 221 million in China. We use a model to project the final February 2013 installed base for each country based on historical growth trends as well as the number detected devices per country through the first half of February. Flurry estimates that by the end of February 2013, China will have 246 million devices compared to 230 million in the U.S.
We also conclude that the U.S. will not take back the lead from China, given the vast difference in population per country. China has over 1.3 billion people while the U.S. has just over 310 million. Considering that the U.S. has the world's 3rd largest population, the only other country that could feasibly overtake China sometime in the future is India, with a population of just over 1.2 billion. However, with only 19 million active smart devices in India, China will not likely see competition from India for many years. Below, we show the top 12 countries by active iOS and Android installed base through the end of January 2013.
The chart shows that the U.S. and China each have more than five times the active installed base than that of the U.K., the world’s third largest market. Additionally, both China and the U.S. continue to see rapid device adoption. Year-over-year, compared to January 2012, the U.S. added 55 million new devices. However, in that same time, China added a staggering 150 million new devices. With its growth rate, China would have passed the U.S. earlier, except for the U.S.’s massive holiday season, which enabled the U.S. to hold off China for an additional two months.
The final chart in our analysis shows growth in the number of active smart devices per country, between January 2012 and January 2013. While China no longer leads the world in growth, it still commanded an impressive 209% rate of growth on top of a base of 71 million devices from January 2012. For this chart, Flurry selected countries that had a minimum of half a million devices as of January 2012. Countries that grew faster than China over the last year were Colombia, Vietnam, Turkey, Ukraine and Egypt. While the four BRIC countries are not all among the top 12 countries in terms of percentage growth (specifically, Brazil and Russia are not top 12 "growers"), all four are among the top 12 when calculating the number of net active devices added per market (i.e., Brazil +11.5 million, Russia +12.0 million, India +12.4 million, China +149.5 million).
In this new era of mobile computing, sparked by a confluence of powerful innovation across microprocessors, cloud storage and network speeds, Apple and Google have helped create the fastest adopted technology revolution in history, 10X faster than that of the PC Revolution and 3X that of the Internet Boom. And now, as the largest and fastest modernizing country in the world, Chinese consumers lead that revolution.
Today as those in relationships rush to stores to pick up Valentine cards and gifts for their significant others, single women looking for relationships may want to pick up their smartphones. Just in time for Valentine’s Day, Flurry explored user composition and behavior in a sample of smartphone dating apps. We found that in dating apps targeting both genders, there are typically almost twice as many active male users as active female users. For this analysis, we examined 20 top dating apps whose combined 17 million active users delivered more than 2.1 billion sessions in January 2013.
Women wishing to further stack the odds in their favor may wish to download an Android dating app. When we compared the user composition for a sample of dating apps available on both iOS and Android phones, we found that active users of Android dating apps skew even more male.
Young adults in search of a Valentine (or those in search of a young adult Valentine) also may want to download a dating app on an Android device. In looking at the sample of dating apps available on both iOS and Android, we found that adult users of Android dating apps are more likely to be under 25 than adult users of iOS dating apps.
The millions of people who use dating apps do so regularly. They typically open their dating apps eight times a week and use them for seventy-one seconds at a time. Users of dating apps for gay men are even more active. They typically use them twenty-two times a week for ninety-six seconds at a time.
Retail is among the world’s largest industries. The top 10 global retailers are made up of 5 from the U.S. and 5 from Europe, collectively driving annual revenue in excess of $1.1 trillion. The U.S. Commerce Department estimates that U.S. domestic revenue exceeded $4.7 trillion in 2011 and is growing. Two thirds of the U.S. GDP, the world’s leading economy, comes from retail consumption.
Now, the retail industry is colliding with the mobile app economy. Just consider that, according to a recent IBM report, more than 18% of shoppers used a smartphone or tablet to access a retailer's website on Cyber Monday in 2012, an increase of 70% over 2011. Mobile made up 13% of total web-based purchases. The App & Mortar economy has arrived.
In this report, Flurry explores the shopping app category. For our analysis, we measured time spent by consumers across more than 1,800 iOS and Android shopping apps from December 2011 to December 2012. Shopping apps were found predominately within the Shopping category on Google Play, and within the Lifestyle and Food & Drink categories in the Apple App Store. From there, we broke down “Shopping” into five sub-categories: Retailer Apps, Price Comparison, Purchase Assistant, Online Marketplace and Daily Deals. Let’s take a look at how time spent in shopping apps is growing.
The chart above shows growth in time spent by consumers across the top five shopping sub-categories. For reference, indicated by the dotted light-blue lines, we overlay growth rates for All Shopping Apps and for All Apps that Flurry measures (over 270,000). Starting on the left, we see that consumer time spent in Retailer Apps has skyrocketed by 525% from December 2011 to December 2012. This growth far exceeds total shopping app growth of 274%, as well as overall app growth 132%, represented again by the light-blue dotted lines. Time spent in Price Comparison and Purchase Assistant apps have also grown significantly, by 247% and 228%, respectively. Finally, still growing, but not as quickly as other shopping categories are Online Marketplace and Daily Deals apps at 178% and 126%, respectively.
For reference, below are examples of the kind of apps across shopping sub-categories in this analysis. Please note that example apps may not be Flurry customers.
- Retailer Apps: Walmart, Target, Macy’s, Victoria’s Secret, Gap, Saks 5th Avenue
- Price Comparison: RedLaser, Grocery iQ
- Purchase Assistant: ShopSavvy, ShopAdvisor
- Online Marketplace: eBay, Amazon
- Daily Deals: Groupon, Living Social
In the chart above, we next look at the shift in time spent across shopping sub-categories. Retailers, represented by the dark blue wedge, saw the greatest increase in time spent, from a share of 15% of time spent by consumers in shopping apps in 2011 to 27% in 2012. The enormous growth in retailer app share has come largely at the expense of Daily Deals, down in share from 20% in 2011 to 13% in 2012, and Online Marketplace apps, which contracted from 25% in 2011 to 20% in 2012. This suggests that retailers are beginning to better respond to the tectonic shift created by the collision of online- meeting offline-shopping through mobile apps.
Incoming! App & Mortar Fire
The opportunity for retailers to extend their relationship with consumers outside the store has never been greater, or more mission critical. Gone are the days when retailers should focus the majority of their marketing effort attracting consumers into stores, where 95% of all purchases take place. In the new mobile app economy, devices are always with you, always on and always connected. Consumers can be intercepted in store aisles and even on their way to the cash register. There are apps to scan an item, select size and color, and then have it shipped to your home - conveniently, quickly from the phone you have in your pocket right now. Apps are connected to credit cards and can have shipping info on file. In the new App & Mortar economy, they serve as virtual, portable show rooms that consumers can use to shop anytime, anywhere.
To keep dollars flowing through their cash registers, retailers need to re-examine the consumer relationship from the ground up and through the lens of mobile-first. In the App & Mortar economy, the battle for deeper consumer relationships is beginning. And there are already thousands of apps for that.
The most important week of the year for app makers is the final week of the year, between Christmas and New Year's Day. Starting with Christmas Day, the largest single device activation day of the year, the week between Christmas and New Year’s Day is marked by significantly elevated device activations and app downloads. This is the primary reason why companies jockey to rank well leading up to Christmas Day itself. This report reveals that the last week of 2012 was the largest week for both new device activations and app downloads in iOS and Android history.
For this report, Flurry leverages its data-set from over 260,000 apps running on the significant majority of iOS and Android devices. With its application penetration, Flurry can detect over 90% of all new devices activated each day. Additionally, with its analytics service in more than 25% of all applications downloaded on a given day from the App Store and Google Play, Flurry can reliably estimate total iOS and Android downloads. To benchmark against the market, Flurry regularly triangulates its device and download figures with data released publicly by Google and Apple.
In its most recent report, Flurry estimated that a record-breaking 17.4 million iOS and Android devices were activated on Christmas Day, along with an equally record-breaking 328 million application downloads. Studying the data from December 25 – December 31, additional records were set, now for the highest number of device activations and app downloads of any week in history. Over the holiday week, Flurry estimates that over 50 million iOS and Android devices were activated, and 1.76 billion applications were downloaded. Let’s take a closer look at downloads.
The columns in the chart compare the number of app downloads during Christmas through New Year’s Day (on the right) versus the average of the first two equivalent weeks of December (on the left). The seven days from December 25 – December 31 spanned from a Tuesday to a Monday. As such, we take the average of the first Tuesday-to-Monday weeks in December to establish a baseline. The average downloads over these weeks were surprisingly even. The final week of the year, between Christmas and New Year’s Day, grew by 65% over the early-December baseline, historically breaking through the largest single week record previously set during the same week of 2011. While several weeks since late November delivered billion+ week download levels, the holiday week delivered a record-shattering 1.7 billion downloads.
This second chart shows the top twenty countries across which the record 1.76 billion downloads were distributed. Starting from the left, the U.S. took the lion’s share with 604 million downloads, or 34.3%. Referencing an earlier report, wherein Flurry sized the installed base of top countries, it’s not surprising that the U.S. continues to lead the rest of the world, especially since the fast-closing second place China does not celebrate Christmas (only 3% of China’s population is Christian). Just before the holidays, Flurry estimated that there were 181 million active iOS and Android devices in the U.S. market, compared to 167 million in China.
Following the trend that Western countries more widely celebrate Christmas – note the higher positions of countries like Canada, Germany, France, Australia, Italy and Mexico in the chart – these countries over-indexed against largely non-Christian countries of China, South Korea and Japan. For example, while Japan and South Korea have the 4th and 5th largest smart device installed bases of all countries, they ranked 14th and 10th, respectively, for downloads over the record week. Christmas is not recognized as a national holiday in Japan, and in South Korea, roughly half the population self-identifies as non-religious. Countries that significantly over-indexed during the holiday include Russia, Italy and Mexico which drove the top 7th, 8th and 9th most downloads despite the fact that their installed bases are ranked 13th, 14th and 15th, respectively.
Looking forward to 2013, Flurry expects the trend of one-billion-download weeks to become the norm, and that the industry will surpass the two-billion download week during Q4. Following a year where Google and Apple drove unprecedented adoption of mobile devices, Facebook declared itself a “mobile” company, and Amazon and Microsoft both made significant investments into mobile computing, we look forward to continued record-breaking adoption of smart devices and applications. Happy New Year from everyone at Flurry.
During the month of November, Flurry reached a major milestone, measuring more than a trillion unique events completed inside of mobile apps by consumers. The magnitude of this number, and what it means to an industry barely over four years old, that has already generated tens of billions of dollars, is unprecedented. An industry has shot up around Flurry in a way that no one, anywhere, could have imagined.
So it was against this backdrop that I began reading a series of differing investment theses written by Fred Wilson of Union Square Ventures (What Has Changed), Dave McClure of 500 Startups (What Hasn’t Changed) and Chris Dixon of Andreessen Horowitz (The Product Lens). The gist was about the cyclical nature of investing between consumer internet and enterprise companies, with another suggestion to focus on product over finances. The debate is entertaining, and not surprising. It validates a theory I’ve held since the mid-nineties about the fundamental difference between entrepreneurs and investors. Simply put, entrepreneurs focus on opportunity while investors focus on risk.
The venture industry wants familiarity, so it talks about consumer versus enterprise. The web comes with an understood set of metrics like page views, visits, unique users, returning visitors and bounce rates, to name a few. And there’s still a standard way of buying traffic (SEM) and getting traffic organically (SEO). There’s a clear index and path to the web, called Google, and most VCs understand Google economics. They understand the lifetime value vs. cost per acquisition equation. They can value businesses accordingly.
What the venture industry doesn’t yet understand is mobile and apps. Traffic acquisition is still an art more than a measurable science. No one has defined a set of metrics that the venture industry can use to universally compare the value of one app property to another, and business models on mobile are still new. On Sand Hill Road, the best line I hear is that “99 cents is the new free,” referring to the freemium model, but few truly understand what it means.
Mobile and apps are gobbling up the web and consumer Internet, and that’s where the opportunity is. And the opportunity has never been bigger. All around me, I see entrepreneurs living it, loving it and collecting it “99 cents” at a time. Meanwhile, the VCs are debating it.
Mobile App Growth: Measured by Flurry
In the month of November, we measured over a trillion events from over 250,000 applications created by more than 85,000 developers. Events are actions completed by consumers inside apps such as completing a game level, making a restaurant reservation or tagging a song. In November, we also measured over 60 billion sessions, which is the start and a stop of an application on a mobile smart device. The chart below shows the growth in events tracked since May of 2008, when we first made our analytics service available to developers. This growth reflects the growth of the app economy.
Mobile Apps: Dominating the Web and Challenging Television
The chart below updates Flurry’s analysis comparing time spent in mobile apps on smartphones and tablets to time spent on the web using a browser. For web usage on desktops, laptops and smart devices, we build a model using publicly available data from comScore and Alexa. For mobile applications, we use Flurry Analytics data, now gathering data from over 250,000 applications. This time around, we add time spent on television using data released by the United States Bureau of Labor Statistics for 2010 and 2011. Note that the bureau hasn’t yet released their 2012 numbers, but given the maturity of the TV market, we assume that time spent on TV is flat year-over-year.
Between December 2011 and December 2012, the average time spent inside mobile apps by a U.S. consumer grew 35%, from 94 minutes to 127 minutes. By comparison, the average time spent on the web declined 2.4%, from 72 minutes to 70 minutes. By our measurement, U.S. consumers are spending 1.8 times more time in apps than on the web.
The chart also shows that time spent in apps already totals 76% of time spent on television. With new content released via thousands of new apps each day, we expect this trend to continue. In fact, we ultimately expect apps on tablets and smartphones to challenge broadcast television as the dominant channel for media consumption. Compared to the 60-year-old television industry, apps are just over 4 years old. In particular, tablets will drive growth in app consumption in 2013 as TV-style content and major programming moves to the tablet. Most TV Networks have already adjusted to a dual screen world and are synchronizing their TV content with their tablet app content. We believe that, with the introduction of connected TVs, TV shows will behave like apps.
Media, Games and Entertainment: The 80/20 Rule
Finally, we measured the time spent using mobile apps per app category across iOS and Android smart devices. For this comparison, we use Flurry data over the month of November 2012 as a baseline, and then adjust based on Flurry’s penetration per category. The chart below shows that 80% of the total time spent is across gaming, social networking and entertainment categories.
The stats on gaming are particularly interesting. Returning to the Bureau of Labor Statistics survey data, the average U.S. consumer spent 1.2 hours (72 minutes) per day playing a game, on any platform. Our data shows that 43% of time spent in mobile apps, 55 minutes, is spent in games. This means that mobile gaming on tablets and smartphones has absorbed 76% (55 of the 72 minutes) of the total time consumers spend on gaming, anywhere. Now, that's disruptive.
In just 4 years, mobile apps have overtaken the web and are beginning to challenge television, the top media channel. As we enter 2013, the app industry shows no signs of slowing. On the contrary, we continue to see a strong flow of new devices and new apps activated in our network. While VCs debate what part of the investment cycle we’re in and how to manage risk, all entrepreneurs need to know - from one entrepreuneur to another - is that you're witnessing the opportunity of a lifetime.