All advertisers seek to deliver the right message to the right person at the right moment. If content is king, then context is queen – particularly when it comes to mobile devices that are typically close at hand if not in our hands.
Smartphones and tablets are often lumped together as “smart”, “mobile”, or “connected” devices, but their use varies by person and by context. In this post, we explore context as it relates to iOS devices. We discuss who uses each device, which devices are used to enact what aspects of users’ lives and personalities, and when usage tends to take place.
Because Android and iOS devices have different audiences, we focus only on iPhone and iPad in this post. Flurry currently measures activity on 397 million active iOS devices, and this analysis is based on usage during May of a random sample of 44,295 of those (iPhone and iPad only; iPod Touch was not included). A future post will discuss usage patterns on Android tablets and smartphones.
iPhone Goes Out; iPad Stays In
Flurry has developed a set of Personas in which device users are assigned to psychographic segments based on their app usage. An individual person may be in more than one Persona because they over-index on a variety of types of apps. Those who own more than one device may not be assigned to the same Personas on all of their devices because their app usage patterns may not be the same across devices.
We started this analysis by considering what share of iOS devices used by members of each persona were iPhone and iPad. As shown in the “everyone” benchmark in the chart below, overall iPhone had a 72% share and iPad had 28%. The Personas shown above the “Everyone” bar skew more toward iPhone than the general population of iOS device owners, while the Personas shown below the “Everyone” bar skew more toward iPad.
Beginning at the top, the numbers illustrate that Personas “on the move” skew most heavily toward iPhone: Value Shoppers use iPhone to scan barcodes and find bargains, and Singles and Hip Urban Lifestylers use them to socialize. iPhone represents more than 90% of iOS devices (excluding iPod) owned by members of those Personas.
Somewhat surprisingly, that is also true of New Moms. In that case they may still be on the move, but in pursuit of the goods, services, and support they need for their new babies. New Moms may also have less free time to participate in leisure activities like reading and gaming which, as we will show soon, are more heavily associated with iPad.
It appears that moms’ device usage changes as their children get older. Moms (as opposed to New Moms) are one of the Personas that skew most toward iPad. Evidence from other sources and anecdotal observation suggests this is likely to be at least partially attributable to Moms using their tablets to entertain and educate older children. The fact that the Parenting and Education Persona skews toward iPad also supports this.
Moving to the bottom of the chart, the Personas that heavily favor iPad are associated with home-oriented activities. Those include Pet Owners and Home Design Enthusiasts, but also Small Business Owners, who may work from home. Gamers also skew more heavily toward iPad.
iPad Is For Learning and Playing -- Not Navigating
The time iPhone and iPad owners spend in different categories of apps also support the overall pattern of iPhone going out and iPad staying in. Overall, iPad owners in our sample spent 42% more time in apps on their devices than iPhone owners during May, but that time varied significantly by category. As shown in the chart below, compared to iPad owners, iPhone owners spent more than 13 times us much time using Navigation apps. They spent more than five times as much time using Health and Fitness apps to do things such as tracking walks, runs, and bike rides.
The app categories for which average time spent on iPad exceeds that for iPhone are Education, Newsstand, Games, and Reference. Again, more home-oriented activities.
iPad Is For Evening; iPhone Is For Late Night
The chart below shows how time spent using iPhone and iPad apps is distributed throughout the day. As might be expected based on the previous discussion and conventional wisdom about iPad, its heaviest period of use comes between 6 pm and 11 pm – times when most people have downtime for activities such as games and reading. iPhone app usage also peaks during that time, but the absolute amount of time on iPad and the percentage of app use that occurs during those hours is greater. Both of those differences are statistically significant.
The situation reverses as the night wears on, and between 2 am and 4 am usage is greater in iPhone apps than in iPad apps. This may be insomniacs reaching for phones at their bedside or those Singles and Hip Urban Lifestylers finding their way home from a late night.
What is perhaps most surprising about the distribution of time on each device throughout the day is how consistent the patterns are – especially between about 6 am and 4 pm. Given what we’ve described so far about iPhone being more of an out-and-about device and iPad being more of a stay-at-at home device, we believe that this is a function of varied lifestyles, with owners of different devices being at home and out-and-about at different times.
Multiple Devices, Multiple Personalities?
Our discussion up until now has focused on differences between iPad and iPhone owners, but obviously an increasing number of people own both devices. While our data does not enable us to link the same user across his or her different devices, we believe that individuals may express different parts of their personalities and lifestyles through their use of different devices. For example, by night a person in the Single and Hip Urban Lifestyle Personas may use her iPhone to organize her social life. By day that same person may use her iPad to run her interior design business, putting her in our Small Business and Home Design Enthusiast Personas.
That combination of person, usage situation and device is important for app developers and advertisers. For example, in this situation, our single small business owner may be more receptive to work-oriented apps and ads on her iPad and play-oriented apps and ads on her iPhone. Savvy app developers and advertisers will increasingly factor contextual differences such as those into their development and targeting plans.
The mobile revolution has been dubbed by many as the trillion dollar revolution. While it is still hard for anyone to quantify the overall economic impact of the mobile revolution, it is clear that mobile devices and apps are changing every aspect of our lives. From news consumption, to photo sharing, to gaming, to hailing a cab to depositing a check, every moment has become a mobile moment. In fact, most consumers who have a smartphone or a tablet can’t imagine their lives without these devices and apps. We have become addicted to instant gratification and the back pocket proximity of powerful computing technology.
At Flurry, we have been at the epicenter of the mobile revolution for more than five years now and today we see activity from more than 300,000 apps and three billion app sessions every day, giving us a unique vantage point into the behavior of over a billion worldwide mobile consumers.
Today, SourceDigital13 we are sharing a peek into a day in the life of a U.S. adult mobile consumer. (We'll blog some other parts of my keynote in future posts.) For this depiction (see chart below), we have used a random sample of 15,271 U.S. iOS users and we measured their app usage throughout the month of May, 2013. We also cut the data based on a 24-hour cycle to help understand the usage throughout an entire day.
Daytime, Nighttime and Bedtime Are All Apptime
Many conclusions can be drawn from this chart. Here are a few key observations:
- App usage steadily increases over the course of the day and ultimately peaks in the evening (unlike TV which remains low then has a dramatic jump in the evening.) This is a big change of perspective for media planners who have been used to weighting their budgets toward evening TV. In an app-centric world, that spend could effectively be spread throughout the day given consumers are reaching for their devices consistently throughout their waking hours.
- Wearable computing already arrived with the smartphone. Our data confirms what many of us know from experience: smartphones, tablets and the apps installed on them appear to be glued to consumers 24/7, 365. They are with us when we wake, work, exercise, eat, play and yes, even when we sleep. We have entered the era of “wearable computing” without needing the wearable gear. Even ahead of the mainstream adoption of Google Glass or Apple’s rumored wrist device, consumers are already embracing the wearable lifestyle with smartphones and tablets.
- While gaming still consumes a large portion of the time spent on devices, other categories appear to be closing the gap when it comes to consumer attention. With the proliferation of social and photo sharing apps, consumers are switched on and sharing every aspect of their lives.
- Shopping and lifestyle apps are used around the clock. Breakfast time, lunch time, dinner time and bedtime have become shopping time.
Millennials Just Might Surprise You
We drilled further into the app usage of young adults age 25-34, a highly-desired segment for brands and advertisers. That segment of the population enjoys high disposable income and has traditionally been a prime target of CPGs, travel, entertainment and retailers.
In the next chart, we have analyzed how app usage by this group indexes against the overall population. (In this chart, 0% represents average usage across all age groups. Positive percentages reflect the degree to which app usage for the 25-34 year old age group exceeds that of iOS users in other age groups.) The results surprised us.
Given the popularity of game apps you might expect that Millennials drive that usage, but in fact they under-index for game app usage. It’s turns out that it’s the middle aged Gen X-ers who grew up with gaming consoles who are over indexing on games. Millennials also under-index on time in Utilities and News than the rest of the population. The categories in which Millennials over-index are Sports, Health and Fitness; Music, Media and Entertainment; Lifestyle and Shopping.
We then went one step further to break down gender usage within the 25-34 age group. The results are shown in the chart below.
Females age 25-34 dramatically over index in the Sports, Health and Fitness category. They spend over 200% more time in these apps then the rest of the population. Women gravitate toward self-improvement related apps while men gravitate toward entertainment. Males age 25-34 over index in Music, Media and Entertainment as well as Social and Photo-Sharing. They under-index in News & Magazines. Confirming some age-old stereotypes, women 25-34 also over-index in Lifestyle and Shopping in which they spend 75% more time than the rest of the population.
Even with more than a billion worldwide active devices, we are still in the very early days of the mobile consumer age. New apps and experiences are emerging daily. In the blink of an eye, experiences such as Ubering (the new verb for ordering a cab using the popular Uber app) and Snapchatting (in reference to using SnapChat to exchange ephemeral photos and videos) have arrived in the mainstream of society and soon, we predict, the English dictionary. Just three years ago these experiences, 100% powered by our mobile devices, didn’t even exist.
Many things will change over the next few years but we predict that mobile devices will become even more a part of the fabric of society than they are today. That means marketers and advertisers need to learn how to make mobile a central part of their marketing and media plans, not just an afterthought.
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.
On broadcast television, brands seek to reach their target audiences as efficiently as possible. For example, a brand might run a TV campaign targeting 24 – 35 year old females through prime-time shows that reach that desired audience.
Prime-time, from 7 pm to 11 pm, is widely known as the part of the day that attracts the most viewers on television. In advertising parlance, this is referred to as a “daypart.” And given its popularity, networks charge significantly more for ads aired during this time.
On radio, “drive time” is the most valuable daypart. Online, the evening has seen an increase in relative usage with the popularity of social networks like Facebook, instant messaging like Skype and video-on-demand services like Hulu.
This report focuses on dayparting in mobile apps. Through Flurry Analytics, Flurry tracks more than 110,000 mobile apps on iOS, Android, Windows Phone, BlackBerry and J2ME. The sample used for this study assembled a bundle of popular iOS and Android apps across games, social networking, music, news, sports and communication categories. In total, this group of apps is used by more than 15 million consumers each day.
For a point of comparison, we overlaid our mobile app daypart graph onto a chart shared by Michael Zimbalist, VP Research for the New York Times, in a guest post he authored for AdAge. Let’s take a look at the findings.
The chart shows the percent of its own total user-base that a given medium reaches, each hour of the day, starting at 5 am. In keeping with Mr. Zimbalist’s analysis, we also limit our mobile app data set to include those 15 years of age and older. For each curve, the percent displayed on the y-axis relates to the proportion of consumers reached during a given hour on that respective medium. Note that the total audience size for each medium reached varies in terms of its own absolute number of users. We’ve chosen to overlay Flurry’s data onto this chart to compare the shape of the curves, which indicate the relative concentration of usage during different times of the day. For reference, we shaded the hours that make up the prime-time television slot.
Our analysis shows that, compared to relative TV viewing and Internet usage, mobile app usage is higher from 6 am to 6 pm. And while the relative percent of television viewers surpasses that of mobile app users during prime-time, mobile app usage continues to climb until 9 pm, exceeding relative Internet usage throughout the prime-time window. Mobile consumers are using apps either instead of, or along-side prime-time television and the Internet. In fact, the percent of relative mobile app usage is greater than that of relative Internet usage every hour of every day.
To provide a tangible example of audience size for mobile apps, we estimate that the combined number of active iOS and Android devices in the U.S. is approximately 110 million. Taking 10 am as a daypart of mobile apps (the red curve), 30% of iOS and Android device owners, or 33 million consumers, use an application during this hour. In theory, apps are like TV shows, in that they reach specific audiences. With the eventual ability to target apps by various criteria such as age, gender, dayparts and more, advertisers can one day target a tightly defined audience that uses different applications.
To put the sheer size of the mobile application audience into perspective, consider that the American Idol finale, which airs once per season, reaches approximately 20 million viewers on that day. Mobile apps already reach more than 20 million U.S. consumers per hour, from 7 am to 11 pm. That’s already the equivalent of 17 American Idol finales each day, or more than 6,200 American Idol finales per year.
With Google recently acquiring Motorola and Apple gearing up to launch the iPhone 5 this fall, these numbers will continue to grow. Further, with companies like Amazon pushing harder into tablets with its recently announced Kindle Fire, and companies like Nokia and Microsoft partnering to stay competitive, we can easily imagine a world of mobile apps where it’s prime-time all the time.