research report - appier · of 2016 multi device usage in asia, 1h 2016 59% of asia’s multi...
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Research ReportCross Screen User Behavior Report
Asia 1H 2016
Source: Appier | Period: 1H2016
Appier Proprietary & Confidential © All Rights Reserved
Executive Summary
Multi device usage is on the rise: the number of 4+ device users in Asia increased in the first half of 2016
The post-mobile era: while mobile is an emerging as a key screen for users in Asia, merchants cannot ignore PCs and tablets either
Asian users are interacting with their screens in increasingly complex and interconnected ways —showing more variability in their interaction with online ads across screens than before
Cross screen campaigns are essential for marketers in the region
Source: Appier | Period: 1H2016
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#1Multi device usage in Asia
is on the rise
Source: Appier | Period: 1H2016
Appier Proprietary & Confidential © All Rights Reserved
Source: Appier | Period: 1H2016
Appier Proprietary & Confidential © All Rights Reserved
Y-axis: % of multi-device users
The number of users on four or more devices increased during the first half of 2016
Multi device usage in Asia, 1H 2016
59% of Asia’s multi device users now use three or more screens: 28% use three, while 31% use four.
2 devices 3 devices 4+ devices
2H 2015 1H 2016
40%
28% 31%
22%
29%
49%
Source: Appier | Period: 1H2016
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Six Asian markets saw an increase in the percentage of multi device users on 3+ screens
Multi device usage in Asia, 1H 2016
AU, HK, IN, JP, KR and MY all saw an increase in the percentage of users on three or more screens.
The percentage of users on four or more screens increased at a faster rate than those using three in MY (+17%), HK (+16%), SG (+15%) and JP (+11%).
51%
30%
25%
38%
42%
33%
27%
52%
60%
36%
23%
35%
25%
20%
18%
30%
25%
22%
36%
34%
24%
21%
14%
45%
55%
44%
29%
42%
50%
12%
6%
40%
56%
V N
T W
S G
P H
M Y
K R
J P
I N
I D
H K
A U
2 3 4+
Source: Appier | Period: 1H2016
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#2The post mobile era:
device numbers and usage
in Asia Pacific
Source: Appier | Period: 1H2016
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Source: Appier | Period: 1H2016
Appier Proprietary & Confidential © All Rights Reserved
The number of mobile phones continues to surpass tablets and PCs
Number of reachable unique devices in Asia by day of week
Unique reachable devices represents the number of actual devices powered on and connected to the internet online: the total pool of unique devices Appier can reach on a given day.
1 : 4.1 1 : 7 1 : 3.6
1 : 5. 2 1 : 6.9 1 : 4.5
Y-axis: Number of unique devices
MON TUE WED THU FRI SAT SUN
Source: Appier | Period: 1H2016
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PC continues to punch above its weight in usage
Device usage in Asia by day of week and device type
PC generates more than 70% of the volume of web usage as smartphones, despite representing a fraction of total unique reachable devices.
AppApp
Y-axis: Number of ad requests as measured by IDFA
Website
Y-axis: Number of ad requests as measured by cookies
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
1 : 5.2
1 : 5.2
1.5 : 1 1 : 10.2 1.7 : 1
1.2 : 1 1 : 9.7 1.4 : 1
Source: Appier | Period: 1H2016
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PC punches above its weight in average usage per device
Ad requests on unique devices in Asia by day of week and device type
Website AppApp
Y-axis: Number of ad requests on unique devices as measured by cookies
Y-axis: Number of ad requests on unique devices as measured by IDFA
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
1.04 : 1
1.03 : 1
2.9 : 1 1.3 : 1 3 : 1
2.9 : 1 1.3 : 1 3 : 1
Looking at ad requests on unique devices helps estimate the average volume of usage per individual device.
Each individual PC is used three times as much as each individual smartphone to access the web. Each tablet also generates 3-4% more average app usage than smartphones, despite representing just a fraction of total devices.
Source: Appier | Period: 1H2016
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Number of reachable unique smartphones by day of week
Number of reachable unique smartphones on website by day of week in Asia
Around the region, the number of unique reachable smartphones tends to peak early in the week. There are fewer smartphones reachable on Friday, with the exception of India, Singapore and Vietnam.
AU HK ID IN JP KR
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of unique devices
Source: Appier | Period: 1H2016
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Number of reachable unique tablets by day of week
Number of reachable unique tablets on website by day of week in Asia
On the other hand, for most of Asia, unique reachable tablets peak on Sundays as people enjoy their weekend at home.
AU HK ID IN JP KR
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of unique devices
Source: Appier | Period: 1H2016
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Number of reachable unique PCs by day of week
Number of reachable unique PCs on website by day of week in Asia
As expected, the number of unique reachable PC’s drops as the weekend approaches and office workers shut down their PCs.
AU HK ID IN JP KR
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of unique devices
Source: Appier | Period: 1H2016
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Smartphone web usage by day of week
Smartphone web usage by day of week in Asia
Across most of the region, smartphone web usage peaks early to midweek and rises again on the weekend. in Korea, however, usage is highest on Sunday
AU HK ID IN JP KR
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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Tablet usage by day of week
Tablet web usage by day of week in Asia
The smartphone and tablet usage tend follow similar patterns market by market, with the exception of Singapore.
AU HK ID IN JP KR
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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PC usage by day of week
PC web usage by day of week in Asia
PC usage tends to be lowest on Saturdays in most markets across the region, increasing through Sunday to peak on Monday.
AU HK ID IN JP KR
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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Across Asia, people are generally slightly less active in browsing the web on smartphone on weekends than on weekdays, with the exception of KR, TW and ID.
Number of ad requests from unique smartphones by market and day of week (web)
The number of ad requests on individual smartphones is higher in Korea than other markets. Singapore is second in terms of ad requests on unique smartphones, while HK is third.
AU HK ID IN JP KR MY PH SG TW VN
Weekdays Weekends
Y-axis: Number of ad requests on unique devices
Source: Appier | Period: 1H2016
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Average usage per individual device by day of week, smartphone
Ad requests on unique smartphones by day of week in Asia (web)
Average usage per unique smartphone peaks on varying days of the week across the region, but remains relatively consistent.
AU HK ID IN JP KR
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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AU HK ID IN JP KR MY PH SG TW VN
Weekdays Weekends
People tend to browse the web slightly less actively from tablet on weekend
The exceptions are SG, KR, PH and JP where the opposite is true.
Number of ad requests from unique tablets by market and day of week (web)
Y-axis: Number of ad requests on unique devices
Source: Appier | Period: 1H2016
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Average usage per device by day of week, tablet
Ad requests on unique tablets by day of week in Asia (web)
Average usage per tablet tends to rise on weekends in most markets across Asia.
AU HK ID IN JP KR
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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AU HK ID IN JP KR MY PH SG TW VN
Weekdays Weekends
Each individual PC is used more intensely on average on weekends than weekdays
Ad requests on unique PCs by day of week in Asia
The exceptions are ID and IN.
Y-axis: Number of ad requests on unique devices
Source: Appier | Period: 1H2016
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Average usage per device by day of week, PC
Ad requests on unique PCs by day of week in Asia
Average usage per PC varies across the region. In aspiring markets where PC is primarily used in the workplace, average usage per PC peaks on weekdays. In developed markets where many households own PCs, average usage per PC tends to rise on weekends.
AU HK ID IN JP KR
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
MY PH SG TW VN
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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#3
Source: Appier | Period: 1H2016
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As devices proliferate, people’s
behavior across screens and
across markets is increasingly
complex—and increasingly
difficult to predict
Source: Appier | Period: 1H2016
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Men in Asia are 24% more active when browsing the web on PC than women as measured by average individual usage
PC web usage in Asia by gender and day of the week
MON TUE WED THU FRI SAT SUN
1 : 1.24
7X
2X
3X
4X
5X
6X
8X
Across APAC, men browse the web on PC more intensely than women.
Y-axis: Number of ad requests on unique PCs
Source: Appier | Period: 1H2016
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Smartphone usage in Asia by gender and day of the week
1 : 1.24 1 : 1.11
MON TUE WED THU FRI SAT SUN
6X
2X
4X
8X 6X
2X
4X
MON TUE WED THU FRI SAT SUN
Y-axis: Number of ad requests on unique smartphones
Men in Asia are more active on smartphone
On average, men are more active in both web usage and app usage on smartphones—although the difference is less pronounced in app usage.
Website App
Source: Appier | Period: 1H2016
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Tablet usage in Asia by gender and day of the week
Website App
1 : 1.14 1 : 1.04
MON TUE WED THU FRI SAT SUN MON TUE WED THU FRI SAT SUN
3X
X
2X
4X
5X
3X
X
2X
4X
Men are more active on tablet than women
While men also use tablet more intensely, the difference is much less dramatic in app usage, which is more equitable
Y-axis: Number of ad requests on unique tables
Source: Appier | Period: 1H2016
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
PC, smartphone and tablet web usage by time of day
PC, smartphone and tablet web usage by time of day
As measured by device cookies, the total volume of smartphone usage surpasses PC usage between 6-7AM as workers wake up. Users shift devices from smartphones to PCs at 7AM.
The maximum gap between PC and smartphone usage appears at 11AM.
Tablet usage remains low during the workday but peaks at 10PM.
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Unique PCs, smartphones and tablets accessing web by time of day
The number of phones actively browsing the web outweighs the number of PCs, especially from 5PM to 12AM during non-working hours.
The numbers of smartphones and PCs being used to browse the web intersect at 11AM, and again after lunch time from 2PM to 4PM.
Y-axis: Number of ad requests
Source: Appier | Period: 1H2016
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#4People interact with ads differently
across screens, and prefer different
ad formats depending on the size of
the screen they’re using
Source: Appier | Period: 1H2016
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Source: Appier | Period: 1H2016
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X-axis: % of similarity ;Y-axis: % of cross screen users
Across Asia, the number of people demonstrating 0% similarity in behaviors across screen increased during the first half of the year
Users exhibiting different behaviors in online ads across devices in Asia (0% similarity vs. 100% similarity)
0% 100%
2H 2015 1H 2016
44%38%
28%32%
Some cross screen users tend to interact with one advertising the same way—clicking on the same types of ads for the same products or services regardless of the screen they’re using at the time. Others exhibit different behaviors depending on the screen, using different screens for different purposes or favoring certain ad formats or subject matter on different screens.
28% of cross screen users interact with advertising in the same manner regardless of the device they’re using, down from 32% during the second half of 2015. 44% appear completely different. The remainder fall somewhere in between—they share some ad browsing habits across screens, but not all of them.
Source: Appier | Period: 1H2016
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44%
Asia
Cross screen users in certain countries tend to exhibit completely different behaviors when interacting with ads on different screens, at rates higher than the regional average
Users exhibiting different behaviors to online ads across devices (0% similarity) 1H 2016
This is the case in MY, VN, PH, and TW. In others, such as JP, AU and HK, users tend to appear more similar than the regional average.
13%16%
24%
35%40%
45%48% 50%
58% 59% 61%
JP AU HK KR ID IN SG MY TW PH VN
Y-axis: % of cross screen users
Source: Appier | Period: 1H2016
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Y-axis: % of cross screen users
12%
29%
39%
9%
34%
49% 48% 51%
62%
24%
40%
45%
13%
35%
50%48%
58%61%
HK ID IN JP KR MY SG TW VN
2H 2015 1H 2016
More users in markets across Asia appeared different in their interaction with online ads in the first half of 2016 than the second half of 2015
Users exhibiting different behaviors in online ads across devices (0% similarity)
An equal or slightly less number of users in Vietnam and Singapore appeared to behave differently between 2H 2015 and 1H 2016.
Source: Appier | Period: 1H2016
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Y-axis: % of cross screen users
The vast majority of users in AU and JP interact similarly with ads across screens
Percentage of users with 100% similarity in online ads across devices 1H 2016
The opposite is true in SG, TW and VN.
SG TW VN MY ID IN PH KR HK JP AU
28%
Asia
11%15%
61%
22%
26% 27% 28%32% 35%
48%
77%
Source: Appier | Period: 1H2016
Appier Proprietary & Confidential © All Rights Reserved
Y-axis: % of cross screen users
73%
41%
49%
64%
38%
25%
13%17%
29%
48%
27% 28%
61%
35%
26%
11%15%
22%
HK ID IN JP KR MY SG TW VN
2H 2015 1H 2016
Most markets across Asia saw a decline in the number of users behaving 100% similarly in their interactions with ads across screens between 2H 2015 and 1H 2016
Percentage of users with 100% similarity to online ads across devices
However, MY logged a slight increase.
Source: Appier | Period: 1H2016
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On weekdays, the majority of unique users visiting websites are using PC
Website usage patterns in Asia by day of week: unique users
Mon Tue Wed Thu Fri Sat Sun
Y-axis: Number unique users
However, on weekends, smartphones account for a greater share of unique users.
Source: Appier | Period: 1H2016
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Mobile phones generate a greater number of website pageviewsthroughout the week
Website usage patterns in Asia by day of week: pageviews
Whereas PCs account for a greater share of unique users, phones generate a dramatically higher number of pageviews on weekends.
Mon Tue Wed Thu Fri Sat Sun
Y-axis: Number of pageviews
Source: Appier | Period: 1H2016
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Conversions on all three screens peak on Thursday and decline through the rest of the week.
Website usage patterns in Asia by day of week: conversions (non-purchase)
Conversions on all three screens peak on Thursday and decline through the rest of the week.
Y-axis: Number of conversions
Mon Tue Wed Thu Fri Sat Sun
Source: Appier | Period: 1H2016
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Website usage patterns in Asia by day of week: purchase
Mon Tue Wed Thu Fri Sat Sun
Online purchases occur predominantly on PC
Mobile purchases rise relative to PC on the weekend, but PC retains its edge throughout.
Y-axis: Number of purchases
Source: Appier | Period: 1H2016
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Tablets generate the highest number of pageviews per unique user
Web usage patterns in Asia by day of week: Page view per unique user
Mon Tue Wed Thu Fri Sat Sun
This demonstrates that individual tablet users are more active in browsing the web than either smartphone or PC users, a trend which accelerates on weekends.
Y-axis: Number of pageviews per unique user
Source: Appier | Period: 1H2016
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Y-axis, left: number of pageviews. Y-axis, right: number of conversions
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
9000000
Both pageviews and conversions accelerate into the morning commuting hours, with conversions peaking at 10AM, 12PM and 2PM during the workday
Website pageviews vs. conversion patterns in Asia by time of day
Pageview Conversion
X
2X
3X
4X
5X
7X
X
2X
3X
4X
5X
6X
9X
8X
Conversions peak again at 10PM as people return to their devices after dinner, with pageviewspeaking shortly thereafter.
Source: Appier | Period: 1H2016
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0
5000
10000
15000
20000
25000
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
9000000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Pageviews and purchases follow similar curves, reaching a daily high at 10PM
Website pageviews vs. purchase patterns in Asia by time of day(EC only)
Pageviews and purchases are closely correlated.
Pageview Purchase
7X
X
2X
3X
4X
5X
6X
9X
8X
X
2X
3X
4X
5X
Y-axis, left: number of pageviews. Y-axis, right: number of purchases
Source: Appier | Period: 1H2016
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0
200000
400000
600000
800000
1000000
1200000
1400000
0
5000
10000
15000
20000
25000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
While the number of purchases peak in the evening, the number of unique users peaks at noon
Website unique users vs. purchase patterns in Asia by time of day (EC only)
This demonstrates that people tend to browse first, purchase later—taking time to consider purchases over the course of the day. X
2X
3X
4X
5X
Purchase Unique user
X
2X
3X
4X
5X
6X
7X
Y-axis, left: number of purchases. Y-axis, right: number of Unique users
Source: Appier | Period: 1H2016
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0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0
5000
10000
15000
20000
25000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
While pageviews per unique user stay fairly constant throughout day and night, purchasing behavior follows distinct peaks and valleys
Website pageviews per unique user vs. purchase patterns in Asia by time of day (EC only)
Pageviews per unique user are lowest during the early morning and the workday, but in general remain more constant than purchases.
Y-axis, left: number of purchases. Y-axis, right: number of pageviews per unique user
PV per unique user
X
2X
3X
4X
5X
Purchase
X
2X
3X
4X
5X
6X
7X
8X
9X
Source: Appier | Period: 1H2016
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Y-axis: number of unique users
The number of unique users browsing websites on PC during the workday greatly outnumbers those on mobile
Website behavior by device: unique users
However, after 5PM their number drops rapidly. The number of unique users on smartphone outstrips those from PC beginning at 7PM and peaks at 9PM.
Source: Appier | Period: 1H2016
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Pageviews on each screen ebb and flow throughout the day, following three distinct curves
Website behavior by device: pageviews
Pageviews from PC predominate during the workday, but pageviews on smartphones outstrip PC both during the early morning commuting hours and the evening. Meanwhile, pageviewsfrom tablet accelerate noticeably beginning at 7PM to peak at 10PM.
Y-axis: number of pageviews
Source: Appier | Period: 1H2016
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
While pageviews are roughly similar across PC and mobile, conversions (excluding purchases) are vastly higher on mobile than PC
Website behavior by device: conversions (excluding purchase)
Additionally, total PC conversions decline after the workday ends, whereas smartphone conversions reach their daily high at 9PM.
Y-axis: number of conversions
Source: Appier | Period: 1H2016
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
PC drives the most purchases, which are highest during the workday.
Purchase by time of day in Asia
Purchases on smartphones accelerate beginning during the evening commuting hours to peak at 10PM, but only overtake those on PC at 11PM.
Y-axis: number of purchases
Source: Appier | Period: 1H2016
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#5For advertisers hoping to
reach consumers online,
the data shows that cross
screen is no longer
optional
Source: Appier | Period: 1H2016
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Source: Appier | Period: 1H2016
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Y-axis: CTR
Clickthrough rate: single vs cross screen, Northeast Asia (Japan and Korea)
67%
Single screen Cross-screen
*Single screen here stands for: the sum of PC only, tablet only and smartphone only*Cross screen here stands for users with three devices and two devices.
7X
X
2X
3X
4X
5X
6X
Cross screen is no longer optional
Our data shows that cross screen campaigns on average outperform single screen campaigns by 67% (as measured by clickthrough rate) in Korea and Japan.
Source: Appier | Period: 1H2016
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Click through rate: single vs cross screen, SG/TW/HK
10%
Single screen Cross-screen
7X
X
2X
3X
4X
5X
6X
8X
9X
Cross screen performs better
Our data shows that cross screen campaigns on average outperform single screen campaigns by 10% (as measured by clickthrough rate) in Singapore, Taiwan and Hong Kong.
Y-axis: CTR
*Single screen here stands for: the sum of PC only, tablet only and smartphone only*Cross screen here stands for users with three devices and two devices.
Source: Appier | Period: 1H2016
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Clickthrough rate: single vs cross screen, PH/MY/VN
16%
X
2X
3X
4X
5X
6X
Single screen Cross-screen
Cross screen performs better
Our data shows that cross screen campaigns on average outperform single screen campaigns by 16% (as measured by clickthrough rate) in PH, MY, and VN.
Y-axis: CTR
*Single screen here stands for: the sum of PC only, tablet only and smartphone only*Cross screen here stands for users with three devices and two devices.
Source: Appier | Period: 1H2016
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55%
24%
21%
Phone PC Tablet
Converts on smart phone
Converts on PC
Converts on Tablet
55%
24%
21%
Over half of all cross screen conversion paths end on smartphone
Number of cross screen conversions in Asia: converting device
Roughly one quarter or conversion occur on PC, and one fifth from tablet.
Source: Appier | Period: 1H2016
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There is wide variation in the final converting device among cross screen conversion paths across the region
Number of cross screen conversions in Asia: converting device
In some countries, like SG and India, conversions on PC outweigh those on smartphone. In others, such as ID, PH, MY, HK and KR, smartphone drives the greatest number of cross screen conversions.
45%
54%
39%
58%
62%
75%
41%
71%
61%
2%
23%
46%
20%
15%
2%
48%
4%
24%
53%
23%
15%
22%
23%
23%
11%
25%
15%
V N
T W
S G
P H
M Y
K R
I N
I D
H K
Smartphone TabletPC
Source: Appier | Period: 1H2016
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Country View ads on Click ads on Convert ads on
AU
HK
ID
IN
JP
KR
MY
PH
SG
TW
VN
Across the region,PC and smartphone play the greatest role in both driving awareness and conversion
Top one cross screen conversion path (CVR) by country: all ads
Source: Appier | Period: 1H2016
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Y-axis: Number of conversions
The more screens a user is engaged on, the more likely they are to convert
Number of per cross screen user conversions by cross screen path in Asia: all ads
The number of per user conversions among those reached on three screens is up to 230% higher than among users reached on two.
Phone+TabletPhone+PC Tablet+PC Phone+Tablet+PC
117% 230% 96%
Source: Appier | Period: 1H2016
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Asia is a cross screen region, and this is a trend that is here to stay. This means that even though mobile is a critical screen for users in Asia, users continue to engage with other devices, especially PCs, to browse and shop. Cross screen campaigns which reach users across PC, phone and tablet consistently outperform single screen campaigns.
Take away for marketers
Put the user at the center. A person who uses a PC, a tablet and a smartphone is one person, not three. Marketers need to account for a number of variables — from personal preference to habit and convenience — when reaching their user across screens.
One size does not fit all. Many users respond differently to ads on different screens. Today’s marketers need to consider how different formats and messages can trigger different responses on different screens.
Source: Appier | Period: 1H2016
Appier Proprietary & Confidential © All Rights Reserved
Research Methodology
The report is based on an analysis of Appier-run campaigns across the region. As part of this report we analyzed over one trillion campaign data points, including ad requests, clicks and conversions (as defined by our advertiser’s specific goals, e.g. clicks, completed video views, app downloads, etc.).
All data from this research report is based on actual user behavior; no questionnaires were used.
THANKYOUCross screen User Behavior Insights
Asia 1H 2016