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The mobile maze
Navigating consumer usage
of mobile data
Introduction
2 The mobile maze
EY has conducted a major global online
customer research study covering 6,000
consumers in 12 countries worldwide. The
research, carried out in May and June 2012,
was designed to highlight short-and medium-
term issues facing mobile operators involved
in the mobile services/applications value
chain.
As part of our primary research, we asked
consumers to detail their usage of specific
mobile value-added services, exploring
take-up drivers and inhibitors, along
with their attitudes toward their mobile
service providers in key aspects such as
communications quality and payment
preferences.
In both developed and emerging markets
across the world, consumers’ rapid adoption
of internet-enabled smartphones and tablets
has been one of the most significant social,
business and technology trends of recent
years. As this growth continues, and as
device experiences evolve and use cases
expand, the market for mobile services
and applications is becoming increasingly
complex for operators and their customers.
The result is a fast-changing market and
technological environment that we have
termed “the mobile maze.” The challenge for
operators is to navigate their way through
it by meeting the evolving needs, demands
and expectations of consumers.
In this research report, we have
supplemented the findings from our
consumer survey with insights from
EY’s sector practitioners. I would like to
thank all our contributors for their time and
cooperation in the preparation of the report.
Jonathan Dharmapalan
Global Telecommunications Leader
3The mobile maze
EY insights and solutions
EY’s consumer-based insights — as showcased in this report —are
supplemented by subject matter expertise across the full spectrum of
market dynamics and scenarios within the telecommunications sector.
We offer a comprehensive range of solutions relating to areas including
customer experience management, customer segmentation, pricing
analysis, customer service systems and BSS/OSS systems design. All
of these solutions apply to operators that are widening their range of
services and targeting sustainable growth in mobile data revenues.
The issues we have highlighted in this report are not unique to telecom
operators — and the diagnostic techniques and solutions highlighted
above apply across industries.
Executive
summary
Survey
sample and
methodology
Segmenting
customer
attributes brings
opportunities
Identifying
the key
drivers of
usage
Isolating the
inhibitors to
take-up
Headline
survey
results
1
4
32
6
20148
5
Better explanatio
n
ofsimplertariffs
Focusinyoung
consumers
Prepaid3G
notig
nored
More pr
epaidoptions
Clear changing better cu
stom
ereducation
Stronger priva
cy
securityprotection
Usage-based charge
s
Simplertariffs
Increase awareness an
d
relevance
Custom
er ser
viceandcommercialinnovations
Betterhous
ehold
analys
is
(Lowestspe
nders)
Servicechoices
Sm
artphones drive usage
Segmentprodu
cts
Migration
fro
m
2G, 3G and 4G
capaci
ty
Lackofn
etwork
Poorcommunica
tion
service
Navigating the
mobile maze
32
How
EY can help
34
26
Contents
5
4 The mobile maze
Executive summary
Smart devices are
driving take-up of
mobile data services,
but regular usage is in
its infancy
•	 More than 1 in 3 mobile
customers worldwide are
users of web browsing,
instant messaging and
mobile social media.
•	 Smartphone owners use
twice as many mobile
services as feature phone
owners.
•	 Fewer than 1 in 5 mobile
customers are regular
users of video, VoIP and
app store services.
Customer
understanding of mobile
data tariffs is low,
and this is hindering
awareness — of and
trust in — new service
propositions
•	 Only 56% of end users
feel they have an
effective understanding
of mobile data tariffs …
•	 … and 3 in 10 think
operators don’t do
enough to communicate
new service offerings.
•	 Customer concerns over
perceived risks around
overspending, privacy
and security are limiting
take-up.
Operators have a
more emphatic and
proactive role to play in
supporting end users’
service choices
•	 Potential users need
more guidance from
service providers: 40% of
users would try services
such as mobile payment
sooner if additional
advice were provided.
•	 Improved privacy and
security features would
make 1 in 3 customers
try new services sooner.
•	 1 in 5 users want more
flexibility in payment
options — and consumers’
payment preferences for
data vary in all markets.
Better segmentation of
customer attributes can
unlock new demand
•	 Prepaid users are a
high-value segment,
while operators should
heed the specific needs
of older users.
•	 Behavioral and
attitudinal insights can
be significant factors
in driving consumers’
take-up and usage of new
services.
5The mobile maze
Survey sample and m
The research study detailed in this report was conducted using an online
questionnaire, and responses were provided by 6,000 consumers in 12 countries
across five continents. The countries covered — together with key statistics about
their respective mobile data markets — are shown in Figure 1.
Population: 62.7 m
Mobile penetration: 139.1%
3G penetration: 64.0%
Smartphone penetration: 51.0%
4G status: Commercial LTE
services launched in 2012
UK
Population: 311.7 m
Mobile penetration: 110.8%
3G penetration: 64.0%
Smartphone penetration: 55.0%
4G status: Commercial LTE
services launched in 2010
US
Population: 60.8 m
Mobile penetration: 150.5%
3G penetration: 58.7%
Smartphone penetration: 28%
4G status: On-going/Planned
deployment
Population: 196.7 m
Mobile penetration: 124.6%
3G penetration: 21.7%
Smartphone penetration: 14.0%
4G status: Commercial LTE
services launched in 2011
Population: 9.4 m
Mobile penetration: 160.8%
3G penetration: 92.2%
Smartphone penetration: 51.0%
4G status: Commercial LTE
services launched in 2009
Population: 11.3 m
Mobile penetration: 140.8%
3G penetration: 32.0%
Smartphone penetration: 35.0%
4G status: On-going/Planned
deployment
Population: 10.5 m
Mobile penetration: 136.6%
3G penetration: 43.5%
Smartphone penetration: 16.0%
4G status: Commercial LTE
services launched in 2012
Population: 1,241.3 m
Mobile penetration: 80.3%
3G penetration: 1.3%
Smartphone penetration: 3.0%
4G status: Commercial LTE
services launched in 2012
Population: 16.7 m
Mobile penetration: 120.7%
3G penetration: 45.8%
Smartphone penetration: 43.0%
4G status: Commercial LTE
services launched in 2012
Italy
Brazil
Sweden
Greece
Czech Republic
India
Netherlands
Figure 1. The 12 countries from 5 continents covered in our survey1
1 Sources: 2011 World Population Data Sheet, Population Reference Bureau, 2011; The Mobile World; Business Monitor International;
Our Mobile Planet Smartphone Research, 2012; Global mobile Suppliers Association (GSA), September 2012	
6 The mobile maze
EY engaged an international market research agency to select the
survey sample for EY and host the survey on our behalf, providing
the country samples via its online panels. The online methodology
used for the survey means the sample within each country is
naturally skewed toward the consumer population who use online
services.
In terms of demographics, our sample is broadly in line with
the general population for developed countries with high PC
penetration, such as the US, UK and Sweden. However, the bias
toward online users means the sample in less developed countries
such as Brazil and India is not representative of each country’s
population as a whole. This means the findings show significantly
higher levels of income and smartphone ownership than would
be the case across the entire population, therefore focussing on
operators’ preferred groups.
A further impact of the online methodology, and the use of online
panels, is that older age groups are underrepresented in our
sample. The split by age in each country is shown in Figure 2. The
overall male-female ratio in our sample is 50:50 and is roughly
similar across all countries. The data in this report is presented on
an unweighted basis, with each country contributing equally to
the grand total.
methodology
Population: 142.8 m
Mobile penetration: 166.2%
3G penetration: 18.2%
Smartphone penetration: 18.0%
4G status: Commercial LTE
services launched in 2012
Russia
Population: 1,345.9 m
Mobile penetration: 77.9%
3G penetration: 9.5%
Smartphone penetration: 33.0%
4G status: On-going/Planned
deployment
China
Population: 22.7 m
Mobile penetration: 142.9%
3G penetration: 88.3%
Smartphone penetration: 52.0%
4G status: Commercial LTE
services launched in 2011
Australia
20% 26% 24%
18% 16%
29%
15% 18% 21% 21% 20% 21% 21%
21%
26%
21%
23% 22%
26%
20% 19%
23% 18% 19% 20% 22%
22%
22%
24%
20% 23%
21%
24% 22%
20%
14%
22% 18% 21%
20%
16%
18%
19% 21%
15%
21% 22%
23%
23%
21% 24% 20%
17%
10% 12%
20% 18%
10%
19% 19% 14%
24%
18% 17% 17%
0%
20%
40%
60%
80%
100%
Australia Brazil China Czech
Republic
Greece India Italy Netherlands Russia Sweden UK US Grand total
18–24 25–30 31–35 36–45 46–65
Figure 2. Age of survey respondents, by territory
7The mobile maze
Overall, our consumer study shows that smartphones do
unlock new services, but that regular usage remains low.
Within this overall scenario, our study has produced six
key results.
Our consumer study shows that smartphones
do unlock new services, but that regular usage
remains low.
Headline survey
results
1.
8 The mobile maze
Smart devices drive service take-up — but there is a
significant portion of non-users
•	 Consumers are taking up mobile internet
services — web browsing and social media are the
most established.
•	 Service usage levels are substantially higher for
smartphone users and those with access to 3G
networks — but there is little difference in service
usage between prepaid and postpaid users.
•	 Younger age groups and those in urban areas use
more services — low spenders are also keen on
mobile internet services, meaning there is a weaker
correlation between income group and service
take-up.
•	 One-third of respondents have no intention of using
mobile internet services — levels of service relevance
and awareness are low in this group.
•	 A high proportion of mobile users say they are
considering taking up mobile services, suggesting a
high level of latent demand.
•	 Poor signal strength significantly inhibits service
take-up — and improved network access capabilities
can convert those considering services into users.
Key messages
9The mobile maze
As Figure 3 shows, web browsing, social media and messaging
lead the way in term of consumer service usage — with mobile web
browsing (59%) and social media (49%) being used regularly by
half of the respondents across our global sample. Mobile instant
messaging is also relatively popular, being used regularly by 25%
of respondents — although 1 in 3 do not use it or intend to. App
stores and mobile video services are also well-established with
users as more occasional use cases.
Consumers are using a range of value-added
mobile services
However, while willingness to try new services is relatively high,
a sizable minority of consumers remain resistant. A significant
proportion of the respondents in our study — up to 24% for mobile
money payments — are considering trying mobile services that
they don’t currently use. However, between one-third and
one-half of respondents do not use or intend to use 8 of the 10
services highlighted in Figure 3.
Smartphone owners have the highest usage profiles, using an
average of 5 value-added services “occasionally” or “regularly” —
twice as many as non-smartphone owners, who use 2.5 services
on average (see Figure 4). Alongside ownership of a handset with
smart technology, network capability is a further important factor
in service usage. Our findings show that 3G terminals in the same
device class typically produce take-up of one extra service, while
3G customers use an average of 4.6 services compared with 2.6
services for 3G users.
However, network capability is a less important usage
consideration than the device’s form factor, with 2G smartphone
owners being heavier users of value-added services than 3G non-
smartphone users. One factor that appears to have little impact on
service usage is the payment plan. Across all handsets, postpaid
customers uses an average of just 0.5 more services than prepaid
customers. And smartphone owners have the same usage profile,
regardless of payment plan.
Payment type has a minimal impact on take-up — device
and network capabilities determine service usage
59%
49%
25%
15% 17%
9% 13% 18%
8% 8%
12%
16%
13%
19% 18%
19%
24%
24%
15% 12%
3%
4%
7%
9% 8%
8%
8%
7%
7% 6%
4%
5%
7% 9% 8%
9%
7%
7%
7%
6%
8%
7%
16% 18% 18%
19%
18%
15%
22%
24%
15% 18%
32% 29% 31% 36% 31% 28%
41% 43%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Mobile web
browsing
Social Media Instant
messaging
Mobile VoIP Music services Operator app
stores
3rd-party app
stores
Mobile video Mobile money —
transfer
Mobile payment
at location
Use service regularly (every day/several times per week) Use service occasionally (approximately once a week or less)
Have used the service regularly in the past but no longer use it Have tried the service in the past but did not become a user
Do not use this service but considering trying/using it in the future Do not use this service and have no intention of using it in the future
Figure 3. Q. Please tick one box that best describes your usage of the
following services on your primary mobile device
10 The mobile maze
When we asked smartphone and non-smartphone owners about
their usage of various services, more than half of smartphone
owners said they use mobile web browsing, social media,
third-party app stores and mobile video (see Figure 5). However,
the reluctance to use mobile payments was more marked than
with other services.
Among non-smartphone owners, over half browse the web and
use social media, but more than 4 out of 10 don’t intend to use
other services. The greatest contrast in service usage between
smartphone and non-smartphone owners is for third-party app
stores. Most positively, the high proportion of non-smartphone
owners considering trying new services suggests strong latent
demand that has yet to be tapped.
Non-smartphone users are more averse to mobile
data services, but untapped demand exists
69%
59%
34%
19% 23%
13% 20% 24%
11% 11%
13%
17%
17%
24% 22%
27%
36% 31%
20% 15%
3%
5%
9%
10% 9% 10%
10% 9%
9%
8%
4%
5%
7%
10% 9% 9%
7% 8%
7%
6%
4%
4%
11% 16% 16% 15%
11% 10%
21%
24%
7% 10%
22% 22% 22% 25%
16% 18%
33% 36%
0%
20%
40%
60%
80%
100%
Mobile web
browsing
Social media Instant
messaging
Mobile VoIP Music services Operator app
stores
3rd-party app
stores
Mobile video Mobile money —
transfer
Mobile payment
at location
Mobile web
browsing
Social media Instant
messaging
Mobile VoIP Music services Operator app
stores
3rd-party app
stores
Mobile video Mobile money —
transfer
Mobile payment
at location
44%
36%
13% 10% 10% 4% 4% 11% 4% 5%
10%
15%
9% 13% 13%
7% 7%
15%
10% 9%
3% 3%
6% 7% 6%
6% 5%
5%
4% 4%
5%
5%
6% 8% 7%
8% 6%
6%
7% 5%
13% 11%
22%
22% 21%
25% 27%
21%
23% 23%
25% 29%
44% 40% 43% 50% 51%
42%
53% 54%
0%
20%
40%
60%
80%
100%
Use service regularly (everyday/several times per week) Use service occasionally (approximately once a week or less)
Have used the service regularly in the past but no longer use it Have tried the service in the past but did not become a user
Do not use this service but considering trying/using it in the future Do not use this service and have no intention of using it in the future
Smartphone owners
Non-smartphone owners
Figure 5. Q. Please tick one box that best describes your usage of the
following services on your primary mobile device
Figure 4. Average number of services used occasionally or regularly,
prepaid and postpaid
3.7
5.05.2
3.9
2.5
2.9
2.3
4.2
5.05.1
4.1
2.4
2.7
2.2
0
1
2
3
4
5
6
TotalSmartphone total3G & 2G smartphone2G smartphoneNon-smartphone
total
3G & 2G non-
smartphone
2G non-
smartphone
Prepaid Postpaid
11The mobile maze
Perhaps unsurprisingly, our findings show that monthly spend
on mobile services closely correlates to personal disposable
income, with higher-income consumers tending to use more
services. As Figure 6 shows, consumers in the top 25% income
bracket use almost one extra service compared with those in the
lower half of the income scale. Also, 72% of consumers in the
top income quartile own a smartphone, compared to 61% of the
second income quartile, 53% of the third quartile and 49% of the
fourth quartile. However, there is less correlation between mobile
monthly spend and service usage: those in the top quartile spend
three times as much on mobile as those in the bottom quartile, but
use only 22% more services.
Beyond the impact of income, there is more variation in usage
according to age and location. Service usage is highest among 25-
to 30-year-olds, who use an average of 4.6 value-added services
(see Figure 7). This age group also has the highest penetration of
smartphones. Also, while 18- to 24-year-olds use a relatively high
number of services, they have the lowest average total mobile
spend in our study at US$37 per month, compared with an overall
average of US$48 per month.
In terms of the type of area where people live, urban dwellers use
4.7 services on average, compared with an average of 3.1 for
consumers living in rural areas. Men use 4.1 services on average,
compared with 3.8 for women.
Service usage varies according to income, age,
location and gender
4.5 4.6
4.2
3.5
2.8
4
63
67
62
54
37
58
0
10
20
30
40
50
60
70
80
0
1
2
3
4
5
18–24 25–30 31–35 36–45 46–65 Overall
Number of services taken % smartphone ownership
Number of services taken % Smartphone ownership
4.5
4
3.7 3.7
4
69.6
49.1
33.8
22.81
47.6
0
10
20
30
40
50
60
70
80
0
1
2
3
4
5
1st quartile 2nd quartile 3rd quartile 4th quartile Overall
Number of services taken Monthly spend (including downloads)
Number of services taken US$ monthly spend
Figure 6. Service usage and spend* by income quartile** Figure 7. Service usage and smartphone ownership by age group
Our study confirms that many mobile internet services lack
relevance to end users — and this perceived irrelevance is the
number one reason why mobile users decide not to take up
services. Also, as Figure 8 shows, while social media and mobile
video have a high level of awareness, a high proportion of
non-users of these services say that they are not relevant to them
personally.
Perhaps surprisingly, low awareness of services is most
pronounced among younger users. Those aged 18 to 24 were
more likely to state that they had not heard of services than older
age groups, except for social media. Lack of awareness of instant
messaging is high among non-users, particularly in the Czech
Republic (62%), Sweden (60%) and Russia (48%). Low awareness
stems from customers being unaware of the benefits certain
services can offer, while awareness of social media and instant
messaging tends to be driven by peer usage of these services.
Many consumers feel mobile internet services are
lacking in relevance
*Mobile spend was captured in local currency in our survey and converted into US dollars using
the spot rates at 11 June 2012.
**Income data was split into quartiles within the data for each country, to enable a consistent
income metric that could be used in our analysis.
12 The mobile maze
When we asked consumers about their reasons for using or not
using mobile internet services, it became clear that poor signal
strength undermines the customer experience and slows adoption
and usage. A high proportion of the customers we interviewed
— between 7% and 18% across different services — have either
stopped using mobile internet or have tried the service and not
become a user.
Lapsed users and trialists who have stopped using mobile internet
services account for 7% of our overall sample. As Figure 9 shows,
these respondents cite poor signal strength as the number three
reason for discontinuing usage. This is a key factor across all
services.
Also, among consumers who have stopped using mobile web
services, 41% of urban dwellers point to poor signal strength as a
contributing factor. This finding suggests that network congestion
is more of a problem than overall network coverage. For customers
with no intention of taking up services, signal strength is less of
a concern — only 6% cite this as a reason for not using services,
compared to 20% who point to handset compatibility issues.
More positively, just as poor network quality is an inhibitor,
improved network quality can stimulate uptake. For customers
considering using mobile internet services, Wi-Fi access and
improved network signal strength are two of the top reasons to try
them sooner.
Reasons for not taking up mobile internet
service after a trial
29%
34%
38%
0% 10% 20% 30% 40%
28%
30%
35%
0% 10% 20% 30% 40%
Reasons for stopping using mobile internet
services
Reasongs for taking up mobile internet
services sooner, if considering them
39%
40%
59%
0% 20% 40% 60%
Service was not relevant
to me
Service was not relevant
to me
Free trial of the service
WiFi access
Improvements in mobile
signal strength
Service was too expensiveService was too expensive
Service was not always
available to me due to poor
mobile signal strength
Service was not always
available to me due to poor
mobile signal strength
Figure 9. Network quality as a reason for using/not using mobile web
Figure 8. Service awareness and affinity for respondents with no
intention of using mobile services
39
43
53
4646
4949
43
63
34 31
21
14
22
27
30
20
40
6
35
0
20
40
60
80
% service is not relevant% not heard of the service
Mobile web
browsing
Social media Instant
messaging
Mobile VoIP Music services Operator app
stores
3rd-party app
stores
Mobile video Mobile money —
transfer
Mobile payment
at location
… while poor network quality acts as a brake on
take-up and continued usage
13The mobile maze
Overall, our consumer study shows that smartphones do
unlock new services, but that regular usage remains low.
Within this overall scenario, our study has produced six
key results.
Looking more closely into the factors inhibiting
consumer adoption, our research and industry
insights suggest that the main issues are low
customer understanding of mobile service
offerings, and the fact that end-users are
struggling to discover these services’ true value.
Isolating the
inhibitors to take-up
2.
14 The mobile maze
Lack of understanding is undermining trust and fueling
confusion around pricing
•	 1 in 3 mobile users do not feel they understand
mobile data tariffs effectively, while only 1 in 5 feel
they can very effectively make value judgments
about new service offerings.
•	 Overall data plan pricing affects how inclined users
are to adopt individual services — there is a high level
of correlation between tariff understanding and the
ability to evaluate specific services.
•	 Confusion in the market is widespread: in addition to
those who lack effective understanding, a significant
minority “do not know” whether they understand
mobile data tariffs or whether they are well informed
by operators about new services.
•	 Fears of overspending and an inability to understand
pricing are stopping trialists from continuing to use
mobile internet services and are also leading existing
users to stop using services.
•	 Privacy and security concerns are a significant
inhibitor to take-up, highlighting a lack of effective
communication from service providers about data
privacy.
Key messages
15The mobile maze
Customers struggle to understand mobile
data tariffs ...
One of the clearest findings from our research is that consumers
are deeply confused about data tariffs: 1 in 3 respondents say
they cannot understand mobile data tariffs effectively, and when
those who “don’t know” are included, the proportion who are
confused rises to almost 1 in 2. Even more worryingly, only 1
in 5 customers claim that they can make an accurate judgment
as to what the best tariff option is. In the Czech Republic, this
proportion is as low as 1 in 10.
As Figure 10 shows, the proportions saying they “don’t know”
are especially high in the US (32%) and the Netherlands (21%).
This suggests that consumers’ confusion over tariffs is especially
strong in highly developed markets with 4G offerings and tiered
pricing for mobile data. Looking across the world, older customers
struggle the most, with only 46% of 46- to 65-year-olds claiming
that they can understand tariffs effectively, compared with 69% of
18- to 24-year-olds.
The widespread lack of understanding of mobile tariffs has a
dramatic impact on uptake of mobile services. And the level
of confusion is equally high in both the prepaid and postpaid
segments, with no difference in the understanding of data tariffs
between the two. This is surprising given the closer relationship
operators are assumed to have with their contract customers and
the clear ability to communicate more effectively with them via
regular billing and upgrade cycles.
... while a significant portion feel poorly informed about new
services and therefore unable to assess their true value
Consumers’ deep sense of confusion extends to services, with less
than 1 in 5 of our respondents saying they believe they can very
effectively discover the value of new service offerings. Only 18%
feel they can make an accurate value judgment when assessing
new services, although the level of understanding is higher in the
youth segments.
Asked to explain why they don’t understand new services, nearly
one-third of all the consumers in our study say they cannot make
a judgment either because the details are confusing or they don’t
understand the offers. Also, the high proportion of respondents
who “don’t know” — at 17% — suggests added confusion when
it comes to understanding service benefits. The proportion
who “don’t know” rises to 26% among 46- to 65-year-olds. As
Figure 11 shows, only 18% of all respondents rate their operator
as “very effective” at communicating new services.
14% 15%
5% 10% 11%
5% 5%
11% 6% 8% 8%
14% 10%
19% 22% 37% 30% 26%
17% 17%
20%
24% 21% 17%
18% 22%
33% 27%
42% 41%
36%
42% 43%
33%
42%
33% 39% 20%
36%
19% 25%
13%
9%
17% 31% 28%
15%
24%
21% 24%
16%
20%
15% 10%
3% 9% 10% 5% 7%
21%
4%
17% 13%
32%
12%
0%
20%
40%
60%
80%
100%
Australia Brazil China Czech Republic Greece India Italy Netherlands Russia Sweden UK US Grand total
Not at all effectively — details are confusing and can’t make a judgment of what value they offer or which the best option is
Not very effectively — don’t understand some of what is being offered and is difficult to make a judgment of what value they offer and which the best option is
Quite effectively — understand most of what is on offer and can make a reasonable judgment of what value they offer and which the best option is
Very effectively — understand perfectly what is on offer and can make an accurate judgment of what value they offer and which the best option is
Don’t know
Figure 10. Q. How well do you understand the mobile data tariffs
offered by your mobile operator?
16 The mobile maze
Drilling down into the findings, a high correlation emerges
between consumers understanding data tariffs and being able
to assess new services effectively. A significant majority  58%  of
those stating that they very effectively understand mobile data
tariffs also say their operators communicate new services very
effectively. Among those who don’t understand mobile data tariffs
or “don’t know” whether they understand them, just 5% claim they
effectively understand new services. These findings underline
the role that operators can play in boosting service take-up by
educating and informing consumers.
10% 13%
5%
12% 8% 5% 6% 8% 10% 9% 7% 5% 8%
18%
21%
28%
28%
23%
16% 16%
20%
27%
20%
15% 16%
21%
33%
30%
49%
42%
37%
35%
43% 28%
34%
28% 40%
33%
36%
17%
24%
14%
9%
18%
34%
25%
12%
19%
13%
16%
18%
18%
21%
12%
3%
9% 14% 10% 11%
32%
9%
30%
22% 27%
17%
0%
20%
40%
60%
80%
100%
Australia Brazil China Czech Republic Greece India Italy Netherlands Russia Sweden UK US Grand total
Not at all effectively — details are confusing and can’t make a judgment of what value it offers
Not very effectively — don’t understand some of what is being offered and is difficult to make a judgment of what value it offer
Quite effectively — understand most of what is on offer and can make a reasonable judgment of what value it offers
Very effectively — understand perfectly what is on offer and can make an accurate judgment of what value it offers
Don’t know
Figure 11. Q. How effectively does your mobile operator communicate
new service offerings?
Across our global consumer sample, pricing issues emerge as
strong reasons for stopping or avoiding service usage, with a high
proportion of trialists and lapsed users citing fears of overspend
and a lack of understanding of pricing options as reasons for
discontinuing their use of a service (see Figure 12) or for not
taking it up after trying it out (see Figure 13).
Figure 12. % of those who have stopped using a service because of
overspending concerns and poor understanding of pricing
14
9
11
16
19
17
18
19
13
2
6
9
7
12
11 10
18
10
24
14
0
10
20
30
Mobile payment
at location
Mobile money —
transfer
Mobile videoOperator app
stores
3rd-party app
stores
Music servicesMobile VoIPInstant messagingMobile web
browsing
Social media
Worried about overspending Don’t understand the pricing options
Fear of overspending limits take-up and continued
usage of services
17The mobile maze
Fear of overspend is greatest with mobile web browsing,
demonstrating how consumers are struggling to align their
usage with its cost implications, both directly and indirectly.
Prepaid customers are more likely than postpaid to cite poor
understanding of pricing options as a reason for non-usage.
Consumers’ confusion over pricing leads to a fear of “bill shock”
making them wary of services that are ostensibly “free.” In cases
where customers do use free services, such as social media and
mobile video sites such as YouTube, the risk of overspend remains
a significant concern — a finding that points to additional confusion
over how free services relate to overall data plans. Consumers are
also wary of overspending on app stores, voicing unease over the
indirect costs of downloading content such as high-end mobile
games.
Uptake of some mobile internet services is being inhibited by
consumers’ concerns over personal privacy and data security: 1 in
4 non-users of mobile social media and mobile money services cite
unwillingness to give personal details or credit card information as
reasons for rejecting these services (see Figure 14). Given these
findings, operators need to carefully consider the balance between
the security and convenience of mobile internet services.
Privacy and security are an area where consumers’
levels of trust are low
Figure 13. % of trialists who have not taken up a service because of
overspending concerns and poor understanding of pricing
23
13
16
18
20
16
18
20
22
12 1211 11
9 10 9
12 11
14
17
0
10
20
30
Worried about overspending Don’t understand the pricing options
Mobile payment
at location
Mobile money —
transfer
Mobile videoOperator app
stores
3rd-party app
stores
Music servicesMobile VoIPInstant messagingMobile web
browsing
Social media
18 The mobile maze
Figure 14. % of non-users who do not want to give personal details or
credit card information
16%
23%
13% 13% 12% 12% 13%
11%
31%
25%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Mobile payment
at location
Mobile money —
transfer
Mobile videoOperator app
stores
3rd-party app
stores
Music servicesMobile VoIPInstant messagingMobile web
browsing
Social media
Figure 15. % potential users stating that more information on privacy
and security measures would make them try services sooner
Similarly, better communication on privacy and security is an
important decision driver for consumers who are considering
new services. As Figure 15 shows, nearly half of potential mobile
money users say they would try out these services sooner if
more information on privacy and security measures were made
available. In general, communications and connectivity-oriented
services are those where potential users would most appreciate
further reassurance on privacy and security measures.
29%
25%
26%
25%
21% 21%
25%
20%
45%
41%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Mobile payment
at location
Mobile money —
transfer
Mobile videoOperator app
stores
3rd-party app
stores
Music servicesMobile VoIPInstant messagingMobile web
browsing
Social media
19The mobile maze
Overall, our consumer study shows that smartphones do
unlock new services, but that regular usage remains low.
Within this overall scenario, our study has produced six
key results.
Our findings on the factors that encourage
consumers to adopt and use new mobile
services show that operators need to support
and increase end users’ — ability to make
informed choices or a lack of understanding will
continue to undermine take-up and spending.
Identifying the key
drivers of usage
3.
20 The mobile maze
Clear and consistent communications will support
greater end-user affinity with mobile internet services
•	 Greater insights into how and why people should use
mobile internet services would make them try new
services sooner.
•	 For occasional service users, greater comfort on
privacy and security features would stimulate more
regular usage, while overall trust levels with service
providers also have a role to play.
•	 Operators must carefully calibrate mobile data
pricing options — consumers’ desire for flat-rate
pricing is entrenched, but potential users would like
more payment option choices for individual services.
•	 The distributed preferences for mobile app payment
compound the complexity of customer attitudes
toward data pricing — the relatively higher preference
for ad-funded models in European markets shows
that new opportunities exist as the mobile data
environment becomes more mature.
Key messages
21The mobile maze
Consumers need to be provided with greater insight to help them
assess the value of mobile services, particularly with “substitute”
services that replace other offerings. As Figure 16 shows, more
than 1 in 3 potential users of instant messaging, app stores
and mobile money services say they would try these services
sooner if they had a better understanding of the benefits. This
greater understanding is crucial, since these services represent
alternatives to existing behaviors such as card payments and SMS.
Potential users need greater guidance on how
and why they should use mobile services …
At the same time, between 15% and 20% of potential users
across all service categories state that clearer advertisements
and communications about a new service would make them
try it sooner. So better-segmented and more informative
communications from operators would also help overcome the lack
of awareness among non-users of services.
Practical guidance on how to install services on devices is also
especially important for services that can act as a substitute for
existing behaviors. Females are more likely than males to say that
being provided with more details of how to use and install services
would accelerate their trial usage of them.
For occasional users, improved security and privacy features
are likely to make them use a service more, particularly with
services such as social media and mobile money transfers (see
Figure 17). Privacy and security concerns could well form a
larger issue around communications more generally: operators
need to understand the drivers of consumer satisfaction in the
legacy social media and e-payment environments and respond
accordingly across all their service areas.
A further factor that would spur usage is greater levels of trust in
operators themselves. As Figure 18 shows, 1 in 4 of the occasional
users of mobile internet services in our study say that greater trust
would make them more regular users of services such as mobile
money transfer and operators’ app stores. Overall, it is clear that
trust is an important driver for both take-up and usage of services
such as these.
Figure 16. % of potential users stating that better understanding of
service benefits and installation will make them try it sooner
4040
25
3736
30
32
39
25
31
3536
24
28
25
27
28
31
21
26
Greater understanding of service benefitsMore details of how to use and install service
0%
10%
20%
30%
40%
50%
Mobile payment
at location
Mobile money —
transfer
Mobile videoOperator app
stores
3rd-party app
stores
Music servicesMobile VoIPInstant messagingMobile web
browsing
Social media
... and improved security and privacy features are key
to driving more frequent usage
22 The mobile maze
Figure 17. % of occasional users stating that improved security and
privacy features would make them use the service more regularly
34%
43%
24%
28%
31%
21%
29%
31%
42%
34%
0% 10% 20% 30% 40% 50%
Mobile payment at location
Mobile money — transfer
Mobile video
Operator app stores
3rd-party app stores
Music services
Mobile VoIP
Instant messaging
Mobile web browsing
Social media
0% 10% 20% 30% 40% 50%
Mobile payment at location
Mobile money — transfer
Mobile video
Operator app stores
3rd-party app stores
Music services
Mobile VoIP
Instant messaging
Mobile web browsing
Social media
30%
27%
20%
24%
27%
18%
21%
23%
24%
21%
Figure 18. % of occasional users stating that greater trust in the
service provider would make them use the service more regularly
Mobile web browsing stands out as an area where more flexibility
and choice of payment options would spur consumer usage (see
Figure 19). Looking across different geographies, this demand is
more pronounced in Europe than elsewhere in the world, with 51%
of Czech, 45% of Italian and 38% of UK potential users highlighting
this as a requirement. In contrast, just 4% of potential mobile web
browsers in the US stress the need for more flexible payment
options.
This disparity appears to reflect both the early appearance
of tiered pricing and the high levels of customers who don’t
understand data tariffs, perhaps suggesting that more choice
could be a bad thing, since it may confuse consumers even more.
However, a wider choice of tariff options is also relatively more
important for mobile payment services. Overall, these findings
point to a delicate balancing act for operators between choice
and simplicity, while also underlining the fact that data pricing
is a highly complex issue for service providers. Low customer
understanding would seem to indicate a need for simplicity — but
greater choice allows operators to build new value perceptions.
Achieving both goals at once is not easy.
Potential users seek more choice and flexibility
of payment options for specific services ...
Figure 19. % of those considering trying a service stating that more
choice of tariff options will make then try it sooner
212121
232322232221
27
29
27
19
23
2120
2322
20
31
0
10
20
30
40
Mobile payment
at location
Mobile money —
transfer
Mobile video3rd-party app
stores
Operator app
stores
Music servicesMobile VoIPInstant messaging
Increased flexibilty of payment optionsMore choice of tariff options
Mobile web
browsing
Social media
23The mobile maze
... yet customers remain averse to usage-based
payment plans overall
From the consumer’s viewpoint, our research confirms that end
users preference for all-you-can-eat pricing is entrenched. As
Figure 20 shows, only 13% of respondents favor a pay-per-usage
model for mobile data, against 56% favoring unlimited monthly
usage plans for a fixed daily price. These fixed price-per-day
models are more attractive to users in less mature markets where
mobile internet services are not as well-established, such as China,
India and Russia.
A further and perhaps unsurprising finding is that heavier users
tend to most strongly favor unlimited packages, with unlimited
plans even more preferred (64%) among respondents who
regularly use mobile internet services. This in turn suggests that it
will be difficult to make “bolt-ons” of additional usage on top of a
monthly data package attractive to customers, particularly given
how customers find it hard to accurately assess the value of data
services.
In contrast to the strong sentiment in favor of all-you-can-eat
payment for access, consumers’ preferences in terms of paying
for mobile apps are much more fragmented. As Figure 21 shows,
when asked to name their preferred method of payment for apps,
our respondents are evenly split between different models, with
free trials and payment the most popular at 29%. Only 16% of
respondents prefer the option of paying up front for apps, where
there would be a relative discount to the free trial model. A similar
proportion favor paying through mobile credit or having the cost
added to monthly bills.
Given this wide range of views, it appears that operators should
seek to identify and implement flexible approaches to end-user
payment for mobile apps to meet the needs and expectations of
different consumers.
Users are open to a range of payment options for
mobile applications
10% 11%
20%
10%
17% 19%
12% 12% 16% 11% 8% 11% 13%
6%
28% 7%
9%
7%
13%
6% 5%
16%
5%
5%
7%
10%
55%
41% 60%
63%
60%
54%
52% 55%
56%
62%
58%
60%
56%
3%
5%
9%
4% 4%
5%
12% 3%
4%
1%
4%
3%
5%
26%
15%
4%
14% 12% 8%
18%
25%
8%
21% 25% 20% 16%
0%
20%
40%
60%
80%
100%
Grand total
Unlimited mobile data for a fixed price per monthPayment on a per kilobit or per megabit of usage basis
Unlimited mobile data for a fixed price per week
Unlimited mobile data for a fixed price per day
Don’t know
Italy USChina Czech Republic Greece India Netherlands Russia Sweden UKAustralia Brazil
Figure 20. Q. What is your preferred payment method for mobile data?
24 The mobile maze
Interestingly, European users are keener on ad-funded models:
1 in 4 respondents state that they would prefer to pay for apps
through viewing in-app adverts. In European markets — including
Greece, Italy, the Netherlands, Russia, Sweden and the UK — a
greater proportion of respondents favor ad-funded models versus
“freemium” models. The higher level of “don’t knows” in these
markets also highlights the need for flexible options. Ad-funded
models are less popular in emerging markets, where heavy use
of SMS “push” marketing appears to have made consumers less
receptive to mobile ads.
Figure 21. Q. What is your preferred payment method for mobile apps?
38%
43%
28% 33% 30%
22% 25% 21% 23% 25% 29%
18%
23%
31% 15%
33%
31% 27%
29% 29% 25%
25%
22%
17%
17%
25%
14%
11%
26%
12% 12%
8%
16%
16% 8%
15% 18% 9%
10%
14%
15% 15%
18%
14%
25%
21%
15%
17%
22%
38%
16%
19%
16%
11%
5% 9% 10% 8%
14%
26%
7%
23% 22% 24%
15%
0%
20%
40%
60%
80%
100%
Free trial of limited content and option of payment of full version Free, but with in-app adverts
One-off payment with a relative discount to purchasing after a free trial version Payment taken out of mobile credit/added to mobility bill
Don’t know
Grand totalItaly USChina Czech Republic Greece India Netherlands Russia Sweden UKAustralia Brazil
25The mobile maze
Overall, our consumer study shows that smartphones do
unlock new services, but that regular usage remains low.
Within this overall scenario, our study has produced six
key results.
Segmenting
customer
attributes brings
opportunities
4.
26 The mobile maze
Operators can drive additional value from specific
customer groups
•	 Smartphone usage is highest among young urban
consumers, although they are not necessarily higher
spenders. A digital divide based on network quality may
also hinder service take-up and usage.
•	 Prepaid users with smartphones and 3G are a high
value segment: in some markets, youth prepaid
customers outspend their postpaid counterparts.
•	 36- to 45-year-old customers have high potential if
they are targeted and segmented effectively.
•	 Overall, segmentation approaches in terms of
attitudinal and behavioral factors will need to evolve
if operators are to understand customers better and
meet their needs. Attitudes to data pricing, hardware
ownership and peer group influences are important
considerations.
Key messages
27The mobile maze
Across our global consumer sample, some 70% of those who
are under 35 and live in a city or urban environment own
smartphones, compared with 54% of the remainder of the
population. Also, this young urban segment use an average of
5 mobile internet services, compared to just 3.6 among other
consumer segments.
Within the urban population, 25- to 30-year-old postpaid
smartphone users are the highest usage group, using an average
of 6.3 services. They are closely followed by 31- to 35-year-old
postpaid smartphone users, who use an average of 6 services. And
31- to 35-year-old prepaid smartphone users are the
third-highest usage group, using an average of 5.9 services.
Young urban consumers are the highest users
of mobile services
Figure 22 illustrates this usage trend among the urban
under-35s in a range of developed and maturing markets.
However, the chart also shows that the members of this
higher-usage young urban segment are not necessarily higher
spenders.
In fact, higher usage within this segment correlates with higher
spend in only half of the markets we looked at. Sweden and
the UK — where 85% and 83% of this segment, respectively,
are smartphone owners — are the countries with the highest
upside spend differential, while the US has the biggest downside
divergence. Taken together, these findings highlight a potential
urban/rural divide, where mobile network quality in rural areas is
insufficient to support high service usage, and poor broadband
speed inhibits Wi-Fi usage.
So, if the smartphone-loving younger urban segments are not
necessarily a source of higher spend, where should operators
look for consistent value? Perhaps surprisingly, one answer
our research highlighted is among the prepaid 3G smartphone
user base. In mature European markets such as the UK and the
Netherlands, total mobile spend by prepaid 3G smartphone users
is comparable to that of postpaid customers, at 89% and 86%,
respectively (see Figure 23). In China, prepaid 3G smartphone
users actually spend more than postpaid 3G smartphone users.
However, micro-segments vary in different markets, underlining
the value of having operators conduct segmental analytics at
a local level. For example, our analysis of age segments within
3G smartphone users shows that in countries where postpaid
customers generally spend more than prepaid, some specific
segments buck this trend. One case in point is Australia, where
postpaid users in general outspend prepaid, but prepaid 3G
smartphone users in the 18–24 age group spend slightly more
than postpaid 3G smartphone customers.
Such findings underline that there are high-value micro-segments
in each market that operators might profitably pursue. Overall, it
seems that the gap in spend between prepaid and postpaid may
be narrowing in a more data-centric mobile environment, and that
prepaid customers may increasingly reflect more of a payment
preference, rather than being concentrated among the lower-
income population.
Prepaid 3G smartphone customers are a
high-value segment
-$10
-$5
$0
$5
$10
$15
$20
Difference in total mobile spend (USD) Difference in average number of services used
-4
1.2
Italy
-9
1.3
US
4
1.4
China
-2
0.8
Czech Republic
-5
0.4
Greece
3
1.2
India
11
1.8
Netherlands
-2
0.0
Russia
18
0.9
Sweden
13
1.6
UK
-2
2.1
Australia
-6
0.5
Brazil
Figure 22. Difference in spend and usage in under-35 city urban
segment relative to the rest of the population
28 The mobile maze
Figure 23. Average monthly spend of postpaid and prepaid
3G smartphone users (US$)
97
64
26
38
76
43
88
51
32
70
59
115
75
46
29
24
51
27
56
44
29
43
52
78
$0
$20
$40
$60
$80
$100
$120
$140
Italy US
Postpaid Prepaid
China Czech Republic Greece India Netherlands Russia Sweden UKAustralia Brazil
Another rich seam of potential value for operators to mine is the
36–45 age group, which has the highest average total monthly
telecom spend in our global sample, spending an average of
US$52 per month — US$4 more than the population as a whole
(see Figure 24). Smartphone ownership in the 36–45 age group
is relatively high at 54%, below the 62% ownership penetration of
the 31–35 age group, but well ahead of the 37% ownership level in
the over-46 age group.
36 to 45-year-olds have high potential if segmented
and targeted correctly
While service usage is not as high among 36- to 45-year-olds as in
the younger age groups, a significant proportion are keen to try
services, underlining the potential for operators to use information
and education to increase usage. The 36–45 age group also has
a relatively low understanding of data pricing and new service
offerings communicated by their mobile operators. Yet many
of them are eager to try new services, including mobile money
transfer and payment services (see Figure 25).
When asked what would make them take up these types of services
sooner, this age group placed relatively more importance than
other segments on factors such as getting details about how to
install and use services and better understanding of the services’
benefits.
$37
$47
$52 $53
$49 $48
0
10
20
30
40
50
60
0
1
2
3
4
5 4.5
18–24
4.6
25–30
4.2
31–35
3.5
36–45
2.8
46–65
4
Overall
Number of service taken Average total monthly telecoms spend (USD)
Figure 24. Average service usage and total monthly telecoms spend Figure 25. % of 36- to 45-year-olds considering trying services
0% 10% 20% 30% 40% 50%
24%Mobile payment at location
21%Mobile money — transfer
16%Mobile video
19%3rd-party app stores
19%Operator app stores
17%Music services
18%Mobile VoIP
16%Instant messaging
8%Social media
7%Mobile web browsing
29The mobile maze
All of the findings we have just described underline that accurate
and effective segmentation of the customer base is becoming
both more challenging and more important for operators seeking
to drive take-up of new mobile services. The factors adding to the
challenges of segmentation include the relatively nascent market,
rapidly evolving customer needs, ongoing technological evolution
and customers’ current lack of clarity over the benefits of mobile
services.
Against this background, service providers will need to become
highly responsive to the market, by gaining the ability to identify
high-potential segments and develop offerings rapidly to meet
their needs. Attitudinal and behavioral segmentation will be
increasingly important, as will more granular micro-segmentation
to pinpoint and target opportunities.
Developing these capabilities will require operators to consider
many new variables, including those shaded in yellow in Figure 26.
Factors such as Wi-Fi ownership, peer group influences and
education levels relating to data pricing will be instrumental in
determining customer demand for different services. Peer group
influences are particularly difficult to quantify, as this requires in-
depth customer research to capture the zeitgeist among different
social groups. Operators will need a deep understanding of
different customers within segments to communicate clearly the
benefits of service offerings to educate customers and maximize
service uptake.
More effective customer segmentation
is needed
Figure 26. Factors influencing market segmentation for mobile services
Segmentation
Age
Sex
Income
Occupation
Network choice
(2G/3G/4G)
Handset
preference
Payment plan
preference
Payment
preference for
new services
Peer group
(attitude to social
media, etc.)
Hardware
ownership
(Wi-Fi, games
console, MP3
etc.)
Understanding
of data pricing
30 The mobile maze
Looking more deeply into our findings on data pricing, we find a
clear and direct linear relationship between how well consumers
understand data pricing and how many services they use. This
correlation is consistent across countries, age bands and device
ownership.
Across our global sample as a whole, those who understand data
pricing perfectly use an average of twice the number of services
of those who don’t know whether they understand. And 50%
of customers with a perfect understanding of data pricing use
third-party app stores, compared with 31% of those who don’t
understand it and only 19% of those who don’t know whether they
understand it.
The hardware ownership levels revealed by our study provide
further valuable insights and correlations for segmentation and
targeting purposes. For example, 44% of those who own Wi-Fi
routers use third-party app stores, compared with just 27% of
those without Wi-Fi. And some 66% of tablet owners use
third-party app stores, compared with 34% of non-tablet owners.
A lack of alternative means of connectivity can be a further key
influence. For example, for users in developing markets, a mobile
device may be the only way to access music, video, games and
social media — that’s what 38% of regular users of social media in
India say. And, in terms of payment preferences across our global
sample, those customers who prefer data plans on a per-kilobit or
per-megabit basis use an average of 4.1 services, compared with
an average of 4.4 services for those who prefer a fixed price for
unlimited data.
Behavioral and attitudinal factors significantly
impact service usage
Figure 27. Average number of services used by customers with
different levels of understanding of data pricing
3.4
3.8
4.2
4.9
2.4
$0 $1 $2 $3 $4 $5 $6
Not at all effectively — details are
confusing and can’t make a judgement of
what value it offers
Not very effectively — don’t understand
some of what is difficult to make
judgement of what value it offers
Quite effectively — understand most of what
is on offer and can make a reasonable
judgement of what value it offers
Very effectively — understand perfectly
what is on offer and can make an accurate
judgement of what value it offers
Don’t know
31The mobile maze
32 The mobile maze
Navigating the
mobile maze
5.
While demand for mobile data services has never been higher, a significant
proportion of end-users feel overwhelmed by the array of pricing options and
new functionalities available through their service providers. As operators
help end-users tackle the mobile maze, the challenge is to ensure that new
propositions are clearly articulated — and that customers feel empowered to
choose the right price plan and service combinations.
Operators need to communicate more effectively with their customers,
bearing in mind that increased choice can be a burden for many end-users
who prize convenience at an appealing price. Opportunities to educate
customers on the suitability of data price plans and new services have to be
taken. At the same time, operators should leverage their trusted customer
relationships to reassure users that smart services add value without
compromising privacy and security.
Much can be done to make services more appealing to specific user groups,
whether older smartphone users or customers in sparsely populated areas
where mobile networks can reach further than traditional infrastructures.
Traditional distinctions between prepaid and postpaid users in terms of
propensity to spend and take-up new services also need to be revisited.
Meanwhile, targeted network investment is just as important than an
improved dialogue with consumers on service and price plan benefits.
Closer engagement with specific customer segments can drive greater
take-up of new services, build higher levels of customer loyalty and make
mobile data propositions more profitable. Converting service triallists into
users and boosting existing usage frequency are vital if the explosive
take-up of smart devices is to provide a platform for the continued growth of
the mobile industry.
33The mobile maze
Better explanati
on
ofsimplertariffs
Focusinyoung
consumers
Prepaid3G
notig
nored
More pr
epaidoptions
Clear changing better cu
stom
ereducation
Stronger priva
cy
securityprotection
Usage-based charge
s
Simplertariffs
Increase awareness an
d
relevance
Custom
er ser
viceandcommercialinnovations
Betterhous
ehold
analys
is
(Lowestspe
nders)
Servicechoices
Sm
artphones drive usage
Segmentprodu
cts
Migration
fro
m
2G, 3G and 4G
capaci
ty
Lackofn
etwork
Poorcommunica
tion
service
Leading to profitability
Hindrance to profitability
34
We have analyzed the findings of our mobile
maze study to identify issues facing the global
communications industry.
EY service offerings that can help operators address each issue,
drawing on our wealth of experience in delivering these solutions for
operator clients worldwide to inform and enrich the research analysis
in this report. As operators strive to broaden their service offerings
and grow their mobile data revenues, we are finding that demand
for — and the client benefits delivered by — our solutions are increasing
rapidly over time. This in turn is helping us refine and evolve the
solutions to escalate the benefits for clients further.
How EY can help
The mobile maze
Contacts
Jonathan Dharmapalan
Global Telecommunications Leader
jonathan.dharmapalan@ey.com
Global Telecommunications Markets Leader
prashant.singhal@in.ey.com
Prashant Singhal
Olivier Lemaire
Telecommunications Leader — EMEIA
olivier.lemaire@lu.ey.com
Luis Monti
Telecommunications Leader — Americas
luis.monti@br.ey.com
David McGregor
Telecommunications Leader — Asia-Pacific
david.mcgregor@au.ey.com
Masahiko Tsukahara
Telecommunications Leader — Japan
tsukahara-mshk@shinnihon.or.jp
Holger Forst
Global Telecommunications Markets Leader
holger.forst@de.ey.com
To learn more about how can help your business make
the most of its opportunities in mobile data services,
please contact:
35The mobile maze
EY | Assurance | Tax | Transactions | Advisory
About EY
EY is a global leader in assurance, tax, transaction and advisory services.
The insights and quality services we deliver help build trust and confidence
in the capital markets and in economies the world over. We develop
outstanding leaders who team to deliver on our promises to all of our
stakeholders. In so doing, we play a critical role in building a better working
world for our people, for our clients and for our communities.
EY refers to the global organization, and may refer to one or more, of the
member firms of Ernst & Young Global Limited, each of which is a separate
legal entity. Ernst & Young Global Limited, a UK company limited by
guarantee, does not provide services to clients. For more information about
our organization, please visit ey.com.
How EY’s Global Telecommunications Center can help your business
Telecommunications operators are facing a rapidly transforming business
model. Competition from technology companies is creating challenges
around customer ownership; and service innovation, and pricing pressures
and network capacity are intensifying scrutiny on return on investment.
Additionally, regulatory pressures and shareholder expectations require
agility and cost efficiency. If you are facing these challenges, we can
provide a sector-based perspective to addressing your assurance, advisory,
transaction and tax needs. Our Global Telecommunications Center is a
virtual hub that brings together people, cultures and leading ideas from
across the world. Whatever your need, we can help you improve the
performance of your business.
© 2013 EYGM Limited.
All Rights Reserved.
EYG No. EF0128
CSG/GSC2013/1115394
ED 0114
In line with EY’s commitment to minimize its impact on the environment, this document
has been printed on paper with a high recycled content.
This material has been prepared for general informational purposes only and is not intended to
be relied upon as accounting, tax, or other professional advice. Please refer to your advisors for
specific advice.
ey.com

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Navigating consumer usage of mobile data

  • 1. The mobile maze Navigating consumer usage of mobile data
  • 2. Introduction 2 The mobile maze EY has conducted a major global online customer research study covering 6,000 consumers in 12 countries worldwide. The research, carried out in May and June 2012, was designed to highlight short-and medium- term issues facing mobile operators involved in the mobile services/applications value chain. As part of our primary research, we asked consumers to detail their usage of specific mobile value-added services, exploring take-up drivers and inhibitors, along with their attitudes toward their mobile service providers in key aspects such as communications quality and payment preferences. In both developed and emerging markets across the world, consumers’ rapid adoption of internet-enabled smartphones and tablets has been one of the most significant social, business and technology trends of recent years. As this growth continues, and as device experiences evolve and use cases expand, the market for mobile services and applications is becoming increasingly complex for operators and their customers. The result is a fast-changing market and technological environment that we have termed “the mobile maze.” The challenge for operators is to navigate their way through it by meeting the evolving needs, demands and expectations of consumers. In this research report, we have supplemented the findings from our consumer survey with insights from EY’s sector practitioners. I would like to thank all our contributors for their time and cooperation in the preparation of the report. Jonathan Dharmapalan Global Telecommunications Leader
  • 3. 3The mobile maze EY insights and solutions EY’s consumer-based insights — as showcased in this report —are supplemented by subject matter expertise across the full spectrum of market dynamics and scenarios within the telecommunications sector. We offer a comprehensive range of solutions relating to areas including customer experience management, customer segmentation, pricing analysis, customer service systems and BSS/OSS systems design. All of these solutions apply to operators that are widening their range of services and targeting sustainable growth in mobile data revenues. The issues we have highlighted in this report are not unique to telecom operators — and the diagnostic techniques and solutions highlighted above apply across industries.
  • 4. Executive summary Survey sample and methodology Segmenting customer attributes brings opportunities Identifying the key drivers of usage Isolating the inhibitors to take-up Headline survey results 1 4 32 6 20148 5 Better explanatio n ofsimplertariffs Focusinyoung consumers Prepaid3G notig nored More pr epaidoptions Clear changing better cu stom ereducation Stronger priva cy securityprotection Usage-based charge s Simplertariffs Increase awareness an d relevance Custom er ser viceandcommercialinnovations Betterhous ehold analys is (Lowestspe nders) Servicechoices Sm artphones drive usage Segmentprodu cts Migration fro m 2G, 3G and 4G capaci ty Lackofn etwork Poorcommunica tion service Navigating the mobile maze 32 How EY can help 34 26 Contents 5 4 The mobile maze
  • 5. Executive summary Smart devices are driving take-up of mobile data services, but regular usage is in its infancy • More than 1 in 3 mobile customers worldwide are users of web browsing, instant messaging and mobile social media. • Smartphone owners use twice as many mobile services as feature phone owners. • Fewer than 1 in 5 mobile customers are regular users of video, VoIP and app store services. Customer understanding of mobile data tariffs is low, and this is hindering awareness — of and trust in — new service propositions • Only 56% of end users feel they have an effective understanding of mobile data tariffs … • … and 3 in 10 think operators don’t do enough to communicate new service offerings. • Customer concerns over perceived risks around overspending, privacy and security are limiting take-up. Operators have a more emphatic and proactive role to play in supporting end users’ service choices • Potential users need more guidance from service providers: 40% of users would try services such as mobile payment sooner if additional advice were provided. • Improved privacy and security features would make 1 in 3 customers try new services sooner. • 1 in 5 users want more flexibility in payment options — and consumers’ payment preferences for data vary in all markets. Better segmentation of customer attributes can unlock new demand • Prepaid users are a high-value segment, while operators should heed the specific needs of older users. • Behavioral and attitudinal insights can be significant factors in driving consumers’ take-up and usage of new services. 5The mobile maze
  • 6. Survey sample and m The research study detailed in this report was conducted using an online questionnaire, and responses were provided by 6,000 consumers in 12 countries across five continents. The countries covered — together with key statistics about their respective mobile data markets — are shown in Figure 1. Population: 62.7 m Mobile penetration: 139.1% 3G penetration: 64.0% Smartphone penetration: 51.0% 4G status: Commercial LTE services launched in 2012 UK Population: 311.7 m Mobile penetration: 110.8% 3G penetration: 64.0% Smartphone penetration: 55.0% 4G status: Commercial LTE services launched in 2010 US Population: 60.8 m Mobile penetration: 150.5% 3G penetration: 58.7% Smartphone penetration: 28% 4G status: On-going/Planned deployment Population: 196.7 m Mobile penetration: 124.6% 3G penetration: 21.7% Smartphone penetration: 14.0% 4G status: Commercial LTE services launched in 2011 Population: 9.4 m Mobile penetration: 160.8% 3G penetration: 92.2% Smartphone penetration: 51.0% 4G status: Commercial LTE services launched in 2009 Population: 11.3 m Mobile penetration: 140.8% 3G penetration: 32.0% Smartphone penetration: 35.0% 4G status: On-going/Planned deployment Population: 10.5 m Mobile penetration: 136.6% 3G penetration: 43.5% Smartphone penetration: 16.0% 4G status: Commercial LTE services launched in 2012 Population: 1,241.3 m Mobile penetration: 80.3% 3G penetration: 1.3% Smartphone penetration: 3.0% 4G status: Commercial LTE services launched in 2012 Population: 16.7 m Mobile penetration: 120.7% 3G penetration: 45.8% Smartphone penetration: 43.0% 4G status: Commercial LTE services launched in 2012 Italy Brazil Sweden Greece Czech Republic India Netherlands Figure 1. The 12 countries from 5 continents covered in our survey1 1 Sources: 2011 World Population Data Sheet, Population Reference Bureau, 2011; The Mobile World; Business Monitor International; Our Mobile Planet Smartphone Research, 2012; Global mobile Suppliers Association (GSA), September 2012 6 The mobile maze
  • 7. EY engaged an international market research agency to select the survey sample for EY and host the survey on our behalf, providing the country samples via its online panels. The online methodology used for the survey means the sample within each country is naturally skewed toward the consumer population who use online services. In terms of demographics, our sample is broadly in line with the general population for developed countries with high PC penetration, such as the US, UK and Sweden. However, the bias toward online users means the sample in less developed countries such as Brazil and India is not representative of each country’s population as a whole. This means the findings show significantly higher levels of income and smartphone ownership than would be the case across the entire population, therefore focussing on operators’ preferred groups. A further impact of the online methodology, and the use of online panels, is that older age groups are underrepresented in our sample. The split by age in each country is shown in Figure 2. The overall male-female ratio in our sample is 50:50 and is roughly similar across all countries. The data in this report is presented on an unweighted basis, with each country contributing equally to the grand total. methodology Population: 142.8 m Mobile penetration: 166.2% 3G penetration: 18.2% Smartphone penetration: 18.0% 4G status: Commercial LTE services launched in 2012 Russia Population: 1,345.9 m Mobile penetration: 77.9% 3G penetration: 9.5% Smartphone penetration: 33.0% 4G status: On-going/Planned deployment China Population: 22.7 m Mobile penetration: 142.9% 3G penetration: 88.3% Smartphone penetration: 52.0% 4G status: Commercial LTE services launched in 2011 Australia 20% 26% 24% 18% 16% 29% 15% 18% 21% 21% 20% 21% 21% 21% 26% 21% 23% 22% 26% 20% 19% 23% 18% 19% 20% 22% 22% 22% 24% 20% 23% 21% 24% 22% 20% 14% 22% 18% 21% 20% 16% 18% 19% 21% 15% 21% 22% 23% 23% 21% 24% 20% 17% 10% 12% 20% 18% 10% 19% 19% 14% 24% 18% 17% 17% 0% 20% 40% 60% 80% 100% Australia Brazil China Czech Republic Greece India Italy Netherlands Russia Sweden UK US Grand total 18–24 25–30 31–35 36–45 46–65 Figure 2. Age of survey respondents, by territory 7The mobile maze
  • 8. Overall, our consumer study shows that smartphones do unlock new services, but that regular usage remains low. Within this overall scenario, our study has produced six key results. Our consumer study shows that smartphones do unlock new services, but that regular usage remains low. Headline survey results 1. 8 The mobile maze
  • 9. Smart devices drive service take-up — but there is a significant portion of non-users • Consumers are taking up mobile internet services — web browsing and social media are the most established. • Service usage levels are substantially higher for smartphone users and those with access to 3G networks — but there is little difference in service usage between prepaid and postpaid users. • Younger age groups and those in urban areas use more services — low spenders are also keen on mobile internet services, meaning there is a weaker correlation between income group and service take-up. • One-third of respondents have no intention of using mobile internet services — levels of service relevance and awareness are low in this group. • A high proportion of mobile users say they are considering taking up mobile services, suggesting a high level of latent demand. • Poor signal strength significantly inhibits service take-up — and improved network access capabilities can convert those considering services into users. Key messages 9The mobile maze
  • 10. As Figure 3 shows, web browsing, social media and messaging lead the way in term of consumer service usage — with mobile web browsing (59%) and social media (49%) being used regularly by half of the respondents across our global sample. Mobile instant messaging is also relatively popular, being used regularly by 25% of respondents — although 1 in 3 do not use it or intend to. App stores and mobile video services are also well-established with users as more occasional use cases. Consumers are using a range of value-added mobile services However, while willingness to try new services is relatively high, a sizable minority of consumers remain resistant. A significant proportion of the respondents in our study — up to 24% for mobile money payments — are considering trying mobile services that they don’t currently use. However, between one-third and one-half of respondents do not use or intend to use 8 of the 10 services highlighted in Figure 3. Smartphone owners have the highest usage profiles, using an average of 5 value-added services “occasionally” or “regularly” — twice as many as non-smartphone owners, who use 2.5 services on average (see Figure 4). Alongside ownership of a handset with smart technology, network capability is a further important factor in service usage. Our findings show that 3G terminals in the same device class typically produce take-up of one extra service, while 3G customers use an average of 4.6 services compared with 2.6 services for 3G users. However, network capability is a less important usage consideration than the device’s form factor, with 2G smartphone owners being heavier users of value-added services than 3G non- smartphone users. One factor that appears to have little impact on service usage is the payment plan. Across all handsets, postpaid customers uses an average of just 0.5 more services than prepaid customers. And smartphone owners have the same usage profile, regardless of payment plan. Payment type has a minimal impact on take-up — device and network capabilities determine service usage 59% 49% 25% 15% 17% 9% 13% 18% 8% 8% 12% 16% 13% 19% 18% 19% 24% 24% 15% 12% 3% 4% 7% 9% 8% 8% 8% 7% 7% 6% 4% 5% 7% 9% 8% 9% 7% 7% 7% 6% 8% 7% 16% 18% 18% 19% 18% 15% 22% 24% 15% 18% 32% 29% 31% 36% 31% 28% 41% 43% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Mobile web browsing Social Media Instant messaging Mobile VoIP Music services Operator app stores 3rd-party app stores Mobile video Mobile money — transfer Mobile payment at location Use service regularly (every day/several times per week) Use service occasionally (approximately once a week or less) Have used the service regularly in the past but no longer use it Have tried the service in the past but did not become a user Do not use this service but considering trying/using it in the future Do not use this service and have no intention of using it in the future Figure 3. Q. Please tick one box that best describes your usage of the following services on your primary mobile device 10 The mobile maze
  • 11. When we asked smartphone and non-smartphone owners about their usage of various services, more than half of smartphone owners said they use mobile web browsing, social media, third-party app stores and mobile video (see Figure 5). However, the reluctance to use mobile payments was more marked than with other services. Among non-smartphone owners, over half browse the web and use social media, but more than 4 out of 10 don’t intend to use other services. The greatest contrast in service usage between smartphone and non-smartphone owners is for third-party app stores. Most positively, the high proportion of non-smartphone owners considering trying new services suggests strong latent demand that has yet to be tapped. Non-smartphone users are more averse to mobile data services, but untapped demand exists 69% 59% 34% 19% 23% 13% 20% 24% 11% 11% 13% 17% 17% 24% 22% 27% 36% 31% 20% 15% 3% 5% 9% 10% 9% 10% 10% 9% 9% 8% 4% 5% 7% 10% 9% 9% 7% 8% 7% 6% 4% 4% 11% 16% 16% 15% 11% 10% 21% 24% 7% 10% 22% 22% 22% 25% 16% 18% 33% 36% 0% 20% 40% 60% 80% 100% Mobile web browsing Social media Instant messaging Mobile VoIP Music services Operator app stores 3rd-party app stores Mobile video Mobile money — transfer Mobile payment at location Mobile web browsing Social media Instant messaging Mobile VoIP Music services Operator app stores 3rd-party app stores Mobile video Mobile money — transfer Mobile payment at location 44% 36% 13% 10% 10% 4% 4% 11% 4% 5% 10% 15% 9% 13% 13% 7% 7% 15% 10% 9% 3% 3% 6% 7% 6% 6% 5% 5% 4% 4% 5% 5% 6% 8% 7% 8% 6% 6% 7% 5% 13% 11% 22% 22% 21% 25% 27% 21% 23% 23% 25% 29% 44% 40% 43% 50% 51% 42% 53% 54% 0% 20% 40% 60% 80% 100% Use service regularly (everyday/several times per week) Use service occasionally (approximately once a week or less) Have used the service regularly in the past but no longer use it Have tried the service in the past but did not become a user Do not use this service but considering trying/using it in the future Do not use this service and have no intention of using it in the future Smartphone owners Non-smartphone owners Figure 5. Q. Please tick one box that best describes your usage of the following services on your primary mobile device Figure 4. Average number of services used occasionally or regularly, prepaid and postpaid 3.7 5.05.2 3.9 2.5 2.9 2.3 4.2 5.05.1 4.1 2.4 2.7 2.2 0 1 2 3 4 5 6 TotalSmartphone total3G & 2G smartphone2G smartphoneNon-smartphone total 3G & 2G non- smartphone 2G non- smartphone Prepaid Postpaid 11The mobile maze
  • 12. Perhaps unsurprisingly, our findings show that monthly spend on mobile services closely correlates to personal disposable income, with higher-income consumers tending to use more services. As Figure 6 shows, consumers in the top 25% income bracket use almost one extra service compared with those in the lower half of the income scale. Also, 72% of consumers in the top income quartile own a smartphone, compared to 61% of the second income quartile, 53% of the third quartile and 49% of the fourth quartile. However, there is less correlation between mobile monthly spend and service usage: those in the top quartile spend three times as much on mobile as those in the bottom quartile, but use only 22% more services. Beyond the impact of income, there is more variation in usage according to age and location. Service usage is highest among 25- to 30-year-olds, who use an average of 4.6 value-added services (see Figure 7). This age group also has the highest penetration of smartphones. Also, while 18- to 24-year-olds use a relatively high number of services, they have the lowest average total mobile spend in our study at US$37 per month, compared with an overall average of US$48 per month. In terms of the type of area where people live, urban dwellers use 4.7 services on average, compared with an average of 3.1 for consumers living in rural areas. Men use 4.1 services on average, compared with 3.8 for women. Service usage varies according to income, age, location and gender 4.5 4.6 4.2 3.5 2.8 4 63 67 62 54 37 58 0 10 20 30 40 50 60 70 80 0 1 2 3 4 5 18–24 25–30 31–35 36–45 46–65 Overall Number of services taken % smartphone ownership Number of services taken % Smartphone ownership 4.5 4 3.7 3.7 4 69.6 49.1 33.8 22.81 47.6 0 10 20 30 40 50 60 70 80 0 1 2 3 4 5 1st quartile 2nd quartile 3rd quartile 4th quartile Overall Number of services taken Monthly spend (including downloads) Number of services taken US$ monthly spend Figure 6. Service usage and spend* by income quartile** Figure 7. Service usage and smartphone ownership by age group Our study confirms that many mobile internet services lack relevance to end users — and this perceived irrelevance is the number one reason why mobile users decide not to take up services. Also, as Figure 8 shows, while social media and mobile video have a high level of awareness, a high proportion of non-users of these services say that they are not relevant to them personally. Perhaps surprisingly, low awareness of services is most pronounced among younger users. Those aged 18 to 24 were more likely to state that they had not heard of services than older age groups, except for social media. Lack of awareness of instant messaging is high among non-users, particularly in the Czech Republic (62%), Sweden (60%) and Russia (48%). Low awareness stems from customers being unaware of the benefits certain services can offer, while awareness of social media and instant messaging tends to be driven by peer usage of these services. Many consumers feel mobile internet services are lacking in relevance *Mobile spend was captured in local currency in our survey and converted into US dollars using the spot rates at 11 June 2012. **Income data was split into quartiles within the data for each country, to enable a consistent income metric that could be used in our analysis. 12 The mobile maze
  • 13. When we asked consumers about their reasons for using or not using mobile internet services, it became clear that poor signal strength undermines the customer experience and slows adoption and usage. A high proportion of the customers we interviewed — between 7% and 18% across different services — have either stopped using mobile internet or have tried the service and not become a user. Lapsed users and trialists who have stopped using mobile internet services account for 7% of our overall sample. As Figure 9 shows, these respondents cite poor signal strength as the number three reason for discontinuing usage. This is a key factor across all services. Also, among consumers who have stopped using mobile web services, 41% of urban dwellers point to poor signal strength as a contributing factor. This finding suggests that network congestion is more of a problem than overall network coverage. For customers with no intention of taking up services, signal strength is less of a concern — only 6% cite this as a reason for not using services, compared to 20% who point to handset compatibility issues. More positively, just as poor network quality is an inhibitor, improved network quality can stimulate uptake. For customers considering using mobile internet services, Wi-Fi access and improved network signal strength are two of the top reasons to try them sooner. Reasons for not taking up mobile internet service after a trial 29% 34% 38% 0% 10% 20% 30% 40% 28% 30% 35% 0% 10% 20% 30% 40% Reasons for stopping using mobile internet services Reasongs for taking up mobile internet services sooner, if considering them 39% 40% 59% 0% 20% 40% 60% Service was not relevant to me Service was not relevant to me Free trial of the service WiFi access Improvements in mobile signal strength Service was too expensiveService was too expensive Service was not always available to me due to poor mobile signal strength Service was not always available to me due to poor mobile signal strength Figure 9. Network quality as a reason for using/not using mobile web Figure 8. Service awareness and affinity for respondents with no intention of using mobile services 39 43 53 4646 4949 43 63 34 31 21 14 22 27 30 20 40 6 35 0 20 40 60 80 % service is not relevant% not heard of the service Mobile web browsing Social media Instant messaging Mobile VoIP Music services Operator app stores 3rd-party app stores Mobile video Mobile money — transfer Mobile payment at location … while poor network quality acts as a brake on take-up and continued usage 13The mobile maze
  • 14. Overall, our consumer study shows that smartphones do unlock new services, but that regular usage remains low. Within this overall scenario, our study has produced six key results. Looking more closely into the factors inhibiting consumer adoption, our research and industry insights suggest that the main issues are low customer understanding of mobile service offerings, and the fact that end-users are struggling to discover these services’ true value. Isolating the inhibitors to take-up 2. 14 The mobile maze
  • 15. Lack of understanding is undermining trust and fueling confusion around pricing • 1 in 3 mobile users do not feel they understand mobile data tariffs effectively, while only 1 in 5 feel they can very effectively make value judgments about new service offerings. • Overall data plan pricing affects how inclined users are to adopt individual services — there is a high level of correlation between tariff understanding and the ability to evaluate specific services. • Confusion in the market is widespread: in addition to those who lack effective understanding, a significant minority “do not know” whether they understand mobile data tariffs or whether they are well informed by operators about new services. • Fears of overspending and an inability to understand pricing are stopping trialists from continuing to use mobile internet services and are also leading existing users to stop using services. • Privacy and security concerns are a significant inhibitor to take-up, highlighting a lack of effective communication from service providers about data privacy. Key messages 15The mobile maze
  • 16. Customers struggle to understand mobile data tariffs ... One of the clearest findings from our research is that consumers are deeply confused about data tariffs: 1 in 3 respondents say they cannot understand mobile data tariffs effectively, and when those who “don’t know” are included, the proportion who are confused rises to almost 1 in 2. Even more worryingly, only 1 in 5 customers claim that they can make an accurate judgment as to what the best tariff option is. In the Czech Republic, this proportion is as low as 1 in 10. As Figure 10 shows, the proportions saying they “don’t know” are especially high in the US (32%) and the Netherlands (21%). This suggests that consumers’ confusion over tariffs is especially strong in highly developed markets with 4G offerings and tiered pricing for mobile data. Looking across the world, older customers struggle the most, with only 46% of 46- to 65-year-olds claiming that they can understand tariffs effectively, compared with 69% of 18- to 24-year-olds. The widespread lack of understanding of mobile tariffs has a dramatic impact on uptake of mobile services. And the level of confusion is equally high in both the prepaid and postpaid segments, with no difference in the understanding of data tariffs between the two. This is surprising given the closer relationship operators are assumed to have with their contract customers and the clear ability to communicate more effectively with them via regular billing and upgrade cycles. ... while a significant portion feel poorly informed about new services and therefore unable to assess their true value Consumers’ deep sense of confusion extends to services, with less than 1 in 5 of our respondents saying they believe they can very effectively discover the value of new service offerings. Only 18% feel they can make an accurate value judgment when assessing new services, although the level of understanding is higher in the youth segments. Asked to explain why they don’t understand new services, nearly one-third of all the consumers in our study say they cannot make a judgment either because the details are confusing or they don’t understand the offers. Also, the high proportion of respondents who “don’t know” — at 17% — suggests added confusion when it comes to understanding service benefits. The proportion who “don’t know” rises to 26% among 46- to 65-year-olds. As Figure 11 shows, only 18% of all respondents rate their operator as “very effective” at communicating new services. 14% 15% 5% 10% 11% 5% 5% 11% 6% 8% 8% 14% 10% 19% 22% 37% 30% 26% 17% 17% 20% 24% 21% 17% 18% 22% 33% 27% 42% 41% 36% 42% 43% 33% 42% 33% 39% 20% 36% 19% 25% 13% 9% 17% 31% 28% 15% 24% 21% 24% 16% 20% 15% 10% 3% 9% 10% 5% 7% 21% 4% 17% 13% 32% 12% 0% 20% 40% 60% 80% 100% Australia Brazil China Czech Republic Greece India Italy Netherlands Russia Sweden UK US Grand total Not at all effectively — details are confusing and can’t make a judgment of what value they offer or which the best option is Not very effectively — don’t understand some of what is being offered and is difficult to make a judgment of what value they offer and which the best option is Quite effectively — understand most of what is on offer and can make a reasonable judgment of what value they offer and which the best option is Very effectively — understand perfectly what is on offer and can make an accurate judgment of what value they offer and which the best option is Don’t know Figure 10. Q. How well do you understand the mobile data tariffs offered by your mobile operator? 16 The mobile maze
  • 17. Drilling down into the findings, a high correlation emerges between consumers understanding data tariffs and being able to assess new services effectively. A significant majority  58%  of those stating that they very effectively understand mobile data tariffs also say their operators communicate new services very effectively. Among those who don’t understand mobile data tariffs or “don’t know” whether they understand them, just 5% claim they effectively understand new services. These findings underline the role that operators can play in boosting service take-up by educating and informing consumers. 10% 13% 5% 12% 8% 5% 6% 8% 10% 9% 7% 5% 8% 18% 21% 28% 28% 23% 16% 16% 20% 27% 20% 15% 16% 21% 33% 30% 49% 42% 37% 35% 43% 28% 34% 28% 40% 33% 36% 17% 24% 14% 9% 18% 34% 25% 12% 19% 13% 16% 18% 18% 21% 12% 3% 9% 14% 10% 11% 32% 9% 30% 22% 27% 17% 0% 20% 40% 60% 80% 100% Australia Brazil China Czech Republic Greece India Italy Netherlands Russia Sweden UK US Grand total Not at all effectively — details are confusing and can’t make a judgment of what value it offers Not very effectively — don’t understand some of what is being offered and is difficult to make a judgment of what value it offer Quite effectively — understand most of what is on offer and can make a reasonable judgment of what value it offers Very effectively — understand perfectly what is on offer and can make an accurate judgment of what value it offers Don’t know Figure 11. Q. How effectively does your mobile operator communicate new service offerings? Across our global consumer sample, pricing issues emerge as strong reasons for stopping or avoiding service usage, with a high proportion of trialists and lapsed users citing fears of overspend and a lack of understanding of pricing options as reasons for discontinuing their use of a service (see Figure 12) or for not taking it up after trying it out (see Figure 13). Figure 12. % of those who have stopped using a service because of overspending concerns and poor understanding of pricing 14 9 11 16 19 17 18 19 13 2 6 9 7 12 11 10 18 10 24 14 0 10 20 30 Mobile payment at location Mobile money — transfer Mobile videoOperator app stores 3rd-party app stores Music servicesMobile VoIPInstant messagingMobile web browsing Social media Worried about overspending Don’t understand the pricing options Fear of overspending limits take-up and continued usage of services 17The mobile maze
  • 18. Fear of overspend is greatest with mobile web browsing, demonstrating how consumers are struggling to align their usage with its cost implications, both directly and indirectly. Prepaid customers are more likely than postpaid to cite poor understanding of pricing options as a reason for non-usage. Consumers’ confusion over pricing leads to a fear of “bill shock” making them wary of services that are ostensibly “free.” In cases where customers do use free services, such as social media and mobile video sites such as YouTube, the risk of overspend remains a significant concern — a finding that points to additional confusion over how free services relate to overall data plans. Consumers are also wary of overspending on app stores, voicing unease over the indirect costs of downloading content such as high-end mobile games. Uptake of some mobile internet services is being inhibited by consumers’ concerns over personal privacy and data security: 1 in 4 non-users of mobile social media and mobile money services cite unwillingness to give personal details or credit card information as reasons for rejecting these services (see Figure 14). Given these findings, operators need to carefully consider the balance between the security and convenience of mobile internet services. Privacy and security are an area where consumers’ levels of trust are low Figure 13. % of trialists who have not taken up a service because of overspending concerns and poor understanding of pricing 23 13 16 18 20 16 18 20 22 12 1211 11 9 10 9 12 11 14 17 0 10 20 30 Worried about overspending Don’t understand the pricing options Mobile payment at location Mobile money — transfer Mobile videoOperator app stores 3rd-party app stores Music servicesMobile VoIPInstant messagingMobile web browsing Social media 18 The mobile maze
  • 19. Figure 14. % of non-users who do not want to give personal details or credit card information 16% 23% 13% 13% 12% 12% 13% 11% 31% 25% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Mobile payment at location Mobile money — transfer Mobile videoOperator app stores 3rd-party app stores Music servicesMobile VoIPInstant messagingMobile web browsing Social media Figure 15. % potential users stating that more information on privacy and security measures would make them try services sooner Similarly, better communication on privacy and security is an important decision driver for consumers who are considering new services. As Figure 15 shows, nearly half of potential mobile money users say they would try out these services sooner if more information on privacy and security measures were made available. In general, communications and connectivity-oriented services are those where potential users would most appreciate further reassurance on privacy and security measures. 29% 25% 26% 25% 21% 21% 25% 20% 45% 41% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Mobile payment at location Mobile money — transfer Mobile videoOperator app stores 3rd-party app stores Music servicesMobile VoIPInstant messagingMobile web browsing Social media 19The mobile maze
  • 20. Overall, our consumer study shows that smartphones do unlock new services, but that regular usage remains low. Within this overall scenario, our study has produced six key results. Our findings on the factors that encourage consumers to adopt and use new mobile services show that operators need to support and increase end users’ — ability to make informed choices or a lack of understanding will continue to undermine take-up and spending. Identifying the key drivers of usage 3. 20 The mobile maze
  • 21. Clear and consistent communications will support greater end-user affinity with mobile internet services • Greater insights into how and why people should use mobile internet services would make them try new services sooner. • For occasional service users, greater comfort on privacy and security features would stimulate more regular usage, while overall trust levels with service providers also have a role to play. • Operators must carefully calibrate mobile data pricing options — consumers’ desire for flat-rate pricing is entrenched, but potential users would like more payment option choices for individual services. • The distributed preferences for mobile app payment compound the complexity of customer attitudes toward data pricing — the relatively higher preference for ad-funded models in European markets shows that new opportunities exist as the mobile data environment becomes more mature. Key messages 21The mobile maze
  • 22. Consumers need to be provided with greater insight to help them assess the value of mobile services, particularly with “substitute” services that replace other offerings. As Figure 16 shows, more than 1 in 3 potential users of instant messaging, app stores and mobile money services say they would try these services sooner if they had a better understanding of the benefits. This greater understanding is crucial, since these services represent alternatives to existing behaviors such as card payments and SMS. Potential users need greater guidance on how and why they should use mobile services … At the same time, between 15% and 20% of potential users across all service categories state that clearer advertisements and communications about a new service would make them try it sooner. So better-segmented and more informative communications from operators would also help overcome the lack of awareness among non-users of services. Practical guidance on how to install services on devices is also especially important for services that can act as a substitute for existing behaviors. Females are more likely than males to say that being provided with more details of how to use and install services would accelerate their trial usage of them. For occasional users, improved security and privacy features are likely to make them use a service more, particularly with services such as social media and mobile money transfers (see Figure 17). Privacy and security concerns could well form a larger issue around communications more generally: operators need to understand the drivers of consumer satisfaction in the legacy social media and e-payment environments and respond accordingly across all their service areas. A further factor that would spur usage is greater levels of trust in operators themselves. As Figure 18 shows, 1 in 4 of the occasional users of mobile internet services in our study say that greater trust would make them more regular users of services such as mobile money transfer and operators’ app stores. Overall, it is clear that trust is an important driver for both take-up and usage of services such as these. Figure 16. % of potential users stating that better understanding of service benefits and installation will make them try it sooner 4040 25 3736 30 32 39 25 31 3536 24 28 25 27 28 31 21 26 Greater understanding of service benefitsMore details of how to use and install service 0% 10% 20% 30% 40% 50% Mobile payment at location Mobile money — transfer Mobile videoOperator app stores 3rd-party app stores Music servicesMobile VoIPInstant messagingMobile web browsing Social media ... and improved security and privacy features are key to driving more frequent usage 22 The mobile maze
  • 23. Figure 17. % of occasional users stating that improved security and privacy features would make them use the service more regularly 34% 43% 24% 28% 31% 21% 29% 31% 42% 34% 0% 10% 20% 30% 40% 50% Mobile payment at location Mobile money — transfer Mobile video Operator app stores 3rd-party app stores Music services Mobile VoIP Instant messaging Mobile web browsing Social media 0% 10% 20% 30% 40% 50% Mobile payment at location Mobile money — transfer Mobile video Operator app stores 3rd-party app stores Music services Mobile VoIP Instant messaging Mobile web browsing Social media 30% 27% 20% 24% 27% 18% 21% 23% 24% 21% Figure 18. % of occasional users stating that greater trust in the service provider would make them use the service more regularly Mobile web browsing stands out as an area where more flexibility and choice of payment options would spur consumer usage (see Figure 19). Looking across different geographies, this demand is more pronounced in Europe than elsewhere in the world, with 51% of Czech, 45% of Italian and 38% of UK potential users highlighting this as a requirement. In contrast, just 4% of potential mobile web browsers in the US stress the need for more flexible payment options. This disparity appears to reflect both the early appearance of tiered pricing and the high levels of customers who don’t understand data tariffs, perhaps suggesting that more choice could be a bad thing, since it may confuse consumers even more. However, a wider choice of tariff options is also relatively more important for mobile payment services. Overall, these findings point to a delicate balancing act for operators between choice and simplicity, while also underlining the fact that data pricing is a highly complex issue for service providers. Low customer understanding would seem to indicate a need for simplicity — but greater choice allows operators to build new value perceptions. Achieving both goals at once is not easy. Potential users seek more choice and flexibility of payment options for specific services ... Figure 19. % of those considering trying a service stating that more choice of tariff options will make then try it sooner 212121 232322232221 27 29 27 19 23 2120 2322 20 31 0 10 20 30 40 Mobile payment at location Mobile money — transfer Mobile video3rd-party app stores Operator app stores Music servicesMobile VoIPInstant messaging Increased flexibilty of payment optionsMore choice of tariff options Mobile web browsing Social media 23The mobile maze
  • 24. ... yet customers remain averse to usage-based payment plans overall From the consumer’s viewpoint, our research confirms that end users preference for all-you-can-eat pricing is entrenched. As Figure 20 shows, only 13% of respondents favor a pay-per-usage model for mobile data, against 56% favoring unlimited monthly usage plans for a fixed daily price. These fixed price-per-day models are more attractive to users in less mature markets where mobile internet services are not as well-established, such as China, India and Russia. A further and perhaps unsurprising finding is that heavier users tend to most strongly favor unlimited packages, with unlimited plans even more preferred (64%) among respondents who regularly use mobile internet services. This in turn suggests that it will be difficult to make “bolt-ons” of additional usage on top of a monthly data package attractive to customers, particularly given how customers find it hard to accurately assess the value of data services. In contrast to the strong sentiment in favor of all-you-can-eat payment for access, consumers’ preferences in terms of paying for mobile apps are much more fragmented. As Figure 21 shows, when asked to name their preferred method of payment for apps, our respondents are evenly split between different models, with free trials and payment the most popular at 29%. Only 16% of respondents prefer the option of paying up front for apps, where there would be a relative discount to the free trial model. A similar proportion favor paying through mobile credit or having the cost added to monthly bills. Given this wide range of views, it appears that operators should seek to identify and implement flexible approaches to end-user payment for mobile apps to meet the needs and expectations of different consumers. Users are open to a range of payment options for mobile applications 10% 11% 20% 10% 17% 19% 12% 12% 16% 11% 8% 11% 13% 6% 28% 7% 9% 7% 13% 6% 5% 16% 5% 5% 7% 10% 55% 41% 60% 63% 60% 54% 52% 55% 56% 62% 58% 60% 56% 3% 5% 9% 4% 4% 5% 12% 3% 4% 1% 4% 3% 5% 26% 15% 4% 14% 12% 8% 18% 25% 8% 21% 25% 20% 16% 0% 20% 40% 60% 80% 100% Grand total Unlimited mobile data for a fixed price per monthPayment on a per kilobit or per megabit of usage basis Unlimited mobile data for a fixed price per week Unlimited mobile data for a fixed price per day Don’t know Italy USChina Czech Republic Greece India Netherlands Russia Sweden UKAustralia Brazil Figure 20. Q. What is your preferred payment method for mobile data? 24 The mobile maze
  • 25. Interestingly, European users are keener on ad-funded models: 1 in 4 respondents state that they would prefer to pay for apps through viewing in-app adverts. In European markets — including Greece, Italy, the Netherlands, Russia, Sweden and the UK — a greater proportion of respondents favor ad-funded models versus “freemium” models. The higher level of “don’t knows” in these markets also highlights the need for flexible options. Ad-funded models are less popular in emerging markets, where heavy use of SMS “push” marketing appears to have made consumers less receptive to mobile ads. Figure 21. Q. What is your preferred payment method for mobile apps? 38% 43% 28% 33% 30% 22% 25% 21% 23% 25% 29% 18% 23% 31% 15% 33% 31% 27% 29% 29% 25% 25% 22% 17% 17% 25% 14% 11% 26% 12% 12% 8% 16% 16% 8% 15% 18% 9% 10% 14% 15% 15% 18% 14% 25% 21% 15% 17% 22% 38% 16% 19% 16% 11% 5% 9% 10% 8% 14% 26% 7% 23% 22% 24% 15% 0% 20% 40% 60% 80% 100% Free trial of limited content and option of payment of full version Free, but with in-app adverts One-off payment with a relative discount to purchasing after a free trial version Payment taken out of mobile credit/added to mobility bill Don’t know Grand totalItaly USChina Czech Republic Greece India Netherlands Russia Sweden UKAustralia Brazil 25The mobile maze
  • 26. Overall, our consumer study shows that smartphones do unlock new services, but that regular usage remains low. Within this overall scenario, our study has produced six key results. Segmenting customer attributes brings opportunities 4. 26 The mobile maze
  • 27. Operators can drive additional value from specific customer groups • Smartphone usage is highest among young urban consumers, although they are not necessarily higher spenders. A digital divide based on network quality may also hinder service take-up and usage. • Prepaid users with smartphones and 3G are a high value segment: in some markets, youth prepaid customers outspend their postpaid counterparts. • 36- to 45-year-old customers have high potential if they are targeted and segmented effectively. • Overall, segmentation approaches in terms of attitudinal and behavioral factors will need to evolve if operators are to understand customers better and meet their needs. Attitudes to data pricing, hardware ownership and peer group influences are important considerations. Key messages 27The mobile maze
  • 28. Across our global consumer sample, some 70% of those who are under 35 and live in a city or urban environment own smartphones, compared with 54% of the remainder of the population. Also, this young urban segment use an average of 5 mobile internet services, compared to just 3.6 among other consumer segments. Within the urban population, 25- to 30-year-old postpaid smartphone users are the highest usage group, using an average of 6.3 services. They are closely followed by 31- to 35-year-old postpaid smartphone users, who use an average of 6 services. And 31- to 35-year-old prepaid smartphone users are the third-highest usage group, using an average of 5.9 services. Young urban consumers are the highest users of mobile services Figure 22 illustrates this usage trend among the urban under-35s in a range of developed and maturing markets. However, the chart also shows that the members of this higher-usage young urban segment are not necessarily higher spenders. In fact, higher usage within this segment correlates with higher spend in only half of the markets we looked at. Sweden and the UK — where 85% and 83% of this segment, respectively, are smartphone owners — are the countries with the highest upside spend differential, while the US has the biggest downside divergence. Taken together, these findings highlight a potential urban/rural divide, where mobile network quality in rural areas is insufficient to support high service usage, and poor broadband speed inhibits Wi-Fi usage. So, if the smartphone-loving younger urban segments are not necessarily a source of higher spend, where should operators look for consistent value? Perhaps surprisingly, one answer our research highlighted is among the prepaid 3G smartphone user base. In mature European markets such as the UK and the Netherlands, total mobile spend by prepaid 3G smartphone users is comparable to that of postpaid customers, at 89% and 86%, respectively (see Figure 23). In China, prepaid 3G smartphone users actually spend more than postpaid 3G smartphone users. However, micro-segments vary in different markets, underlining the value of having operators conduct segmental analytics at a local level. For example, our analysis of age segments within 3G smartphone users shows that in countries where postpaid customers generally spend more than prepaid, some specific segments buck this trend. One case in point is Australia, where postpaid users in general outspend prepaid, but prepaid 3G smartphone users in the 18–24 age group spend slightly more than postpaid 3G smartphone customers. Such findings underline that there are high-value micro-segments in each market that operators might profitably pursue. Overall, it seems that the gap in spend between prepaid and postpaid may be narrowing in a more data-centric mobile environment, and that prepaid customers may increasingly reflect more of a payment preference, rather than being concentrated among the lower- income population. Prepaid 3G smartphone customers are a high-value segment -$10 -$5 $0 $5 $10 $15 $20 Difference in total mobile spend (USD) Difference in average number of services used -4 1.2 Italy -9 1.3 US 4 1.4 China -2 0.8 Czech Republic -5 0.4 Greece 3 1.2 India 11 1.8 Netherlands -2 0.0 Russia 18 0.9 Sweden 13 1.6 UK -2 2.1 Australia -6 0.5 Brazil Figure 22. Difference in spend and usage in under-35 city urban segment relative to the rest of the population 28 The mobile maze
  • 29. Figure 23. Average monthly spend of postpaid and prepaid 3G smartphone users (US$) 97 64 26 38 76 43 88 51 32 70 59 115 75 46 29 24 51 27 56 44 29 43 52 78 $0 $20 $40 $60 $80 $100 $120 $140 Italy US Postpaid Prepaid China Czech Republic Greece India Netherlands Russia Sweden UKAustralia Brazil Another rich seam of potential value for operators to mine is the 36–45 age group, which has the highest average total monthly telecom spend in our global sample, spending an average of US$52 per month — US$4 more than the population as a whole (see Figure 24). Smartphone ownership in the 36–45 age group is relatively high at 54%, below the 62% ownership penetration of the 31–35 age group, but well ahead of the 37% ownership level in the over-46 age group. 36 to 45-year-olds have high potential if segmented and targeted correctly While service usage is not as high among 36- to 45-year-olds as in the younger age groups, a significant proportion are keen to try services, underlining the potential for operators to use information and education to increase usage. The 36–45 age group also has a relatively low understanding of data pricing and new service offerings communicated by their mobile operators. Yet many of them are eager to try new services, including mobile money transfer and payment services (see Figure 25). When asked what would make them take up these types of services sooner, this age group placed relatively more importance than other segments on factors such as getting details about how to install and use services and better understanding of the services’ benefits. $37 $47 $52 $53 $49 $48 0 10 20 30 40 50 60 0 1 2 3 4 5 4.5 18–24 4.6 25–30 4.2 31–35 3.5 36–45 2.8 46–65 4 Overall Number of service taken Average total monthly telecoms spend (USD) Figure 24. Average service usage and total monthly telecoms spend Figure 25. % of 36- to 45-year-olds considering trying services 0% 10% 20% 30% 40% 50% 24%Mobile payment at location 21%Mobile money — transfer 16%Mobile video 19%3rd-party app stores 19%Operator app stores 17%Music services 18%Mobile VoIP 16%Instant messaging 8%Social media 7%Mobile web browsing 29The mobile maze
  • 30. All of the findings we have just described underline that accurate and effective segmentation of the customer base is becoming both more challenging and more important for operators seeking to drive take-up of new mobile services. The factors adding to the challenges of segmentation include the relatively nascent market, rapidly evolving customer needs, ongoing technological evolution and customers’ current lack of clarity over the benefits of mobile services. Against this background, service providers will need to become highly responsive to the market, by gaining the ability to identify high-potential segments and develop offerings rapidly to meet their needs. Attitudinal and behavioral segmentation will be increasingly important, as will more granular micro-segmentation to pinpoint and target opportunities. Developing these capabilities will require operators to consider many new variables, including those shaded in yellow in Figure 26. Factors such as Wi-Fi ownership, peer group influences and education levels relating to data pricing will be instrumental in determining customer demand for different services. Peer group influences are particularly difficult to quantify, as this requires in- depth customer research to capture the zeitgeist among different social groups. Operators will need a deep understanding of different customers within segments to communicate clearly the benefits of service offerings to educate customers and maximize service uptake. More effective customer segmentation is needed Figure 26. Factors influencing market segmentation for mobile services Segmentation Age Sex Income Occupation Network choice (2G/3G/4G) Handset preference Payment plan preference Payment preference for new services Peer group (attitude to social media, etc.) Hardware ownership (Wi-Fi, games console, MP3 etc.) Understanding of data pricing 30 The mobile maze
  • 31. Looking more deeply into our findings on data pricing, we find a clear and direct linear relationship between how well consumers understand data pricing and how many services they use. This correlation is consistent across countries, age bands and device ownership. Across our global sample as a whole, those who understand data pricing perfectly use an average of twice the number of services of those who don’t know whether they understand. And 50% of customers with a perfect understanding of data pricing use third-party app stores, compared with 31% of those who don’t understand it and only 19% of those who don’t know whether they understand it. The hardware ownership levels revealed by our study provide further valuable insights and correlations for segmentation and targeting purposes. For example, 44% of those who own Wi-Fi routers use third-party app stores, compared with just 27% of those without Wi-Fi. And some 66% of tablet owners use third-party app stores, compared with 34% of non-tablet owners. A lack of alternative means of connectivity can be a further key influence. For example, for users in developing markets, a mobile device may be the only way to access music, video, games and social media — that’s what 38% of regular users of social media in India say. And, in terms of payment preferences across our global sample, those customers who prefer data plans on a per-kilobit or per-megabit basis use an average of 4.1 services, compared with an average of 4.4 services for those who prefer a fixed price for unlimited data. Behavioral and attitudinal factors significantly impact service usage Figure 27. Average number of services used by customers with different levels of understanding of data pricing 3.4 3.8 4.2 4.9 2.4 $0 $1 $2 $3 $4 $5 $6 Not at all effectively — details are confusing and can’t make a judgement of what value it offers Not very effectively — don’t understand some of what is difficult to make judgement of what value it offers Quite effectively — understand most of what is on offer and can make a reasonable judgement of what value it offers Very effectively — understand perfectly what is on offer and can make an accurate judgement of what value it offers Don’t know 31The mobile maze
  • 32. 32 The mobile maze Navigating the mobile maze 5. While demand for mobile data services has never been higher, a significant proportion of end-users feel overwhelmed by the array of pricing options and new functionalities available through their service providers. As operators help end-users tackle the mobile maze, the challenge is to ensure that new propositions are clearly articulated — and that customers feel empowered to choose the right price plan and service combinations. Operators need to communicate more effectively with their customers, bearing in mind that increased choice can be a burden for many end-users who prize convenience at an appealing price. Opportunities to educate customers on the suitability of data price plans and new services have to be taken. At the same time, operators should leverage their trusted customer relationships to reassure users that smart services add value without compromising privacy and security. Much can be done to make services more appealing to specific user groups, whether older smartphone users or customers in sparsely populated areas where mobile networks can reach further than traditional infrastructures. Traditional distinctions between prepaid and postpaid users in terms of propensity to spend and take-up new services also need to be revisited. Meanwhile, targeted network investment is just as important than an improved dialogue with consumers on service and price plan benefits. Closer engagement with specific customer segments can drive greater take-up of new services, build higher levels of customer loyalty and make mobile data propositions more profitable. Converting service triallists into users and boosting existing usage frequency are vital if the explosive take-up of smart devices is to provide a platform for the continued growth of the mobile industry.
  • 33. 33The mobile maze Better explanati on ofsimplertariffs Focusinyoung consumers Prepaid3G notig nored More pr epaidoptions Clear changing better cu stom ereducation Stronger priva cy securityprotection Usage-based charge s Simplertariffs Increase awareness an d relevance Custom er ser viceandcommercialinnovations Betterhous ehold analys is (Lowestspe nders) Servicechoices Sm artphones drive usage Segmentprodu cts Migration fro m 2G, 3G and 4G capaci ty Lackofn etwork Poorcommunica tion service Leading to profitability Hindrance to profitability
  • 34. 34 We have analyzed the findings of our mobile maze study to identify issues facing the global communications industry. EY service offerings that can help operators address each issue, drawing on our wealth of experience in delivering these solutions for operator clients worldwide to inform and enrich the research analysis in this report. As operators strive to broaden their service offerings and grow their mobile data revenues, we are finding that demand for — and the client benefits delivered by — our solutions are increasing rapidly over time. This in turn is helping us refine and evolve the solutions to escalate the benefits for clients further. How EY can help The mobile maze
  • 35. Contacts Jonathan Dharmapalan Global Telecommunications Leader jonathan.dharmapalan@ey.com Global Telecommunications Markets Leader prashant.singhal@in.ey.com Prashant Singhal Olivier Lemaire Telecommunications Leader — EMEIA olivier.lemaire@lu.ey.com Luis Monti Telecommunications Leader — Americas luis.monti@br.ey.com David McGregor Telecommunications Leader — Asia-Pacific david.mcgregor@au.ey.com Masahiko Tsukahara Telecommunications Leader — Japan tsukahara-mshk@shinnihon.or.jp Holger Forst Global Telecommunications Markets Leader holger.forst@de.ey.com To learn more about how can help your business make the most of its opportunities in mobile data services, please contact: 35The mobile maze
  • 36. EY | Assurance | Tax | Transactions | Advisory About EY EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. For more information about our organization, please visit ey.com. How EY’s Global Telecommunications Center can help your business Telecommunications operators are facing a rapidly transforming business model. Competition from technology companies is creating challenges around customer ownership; and service innovation, and pricing pressures and network capacity are intensifying scrutiny on return on investment. Additionally, regulatory pressures and shareholder expectations require agility and cost efficiency. If you are facing these challenges, we can provide a sector-based perspective to addressing your assurance, advisory, transaction and tax needs. Our Global Telecommunications Center is a virtual hub that brings together people, cultures and leading ideas from across the world. Whatever your need, we can help you improve the performance of your business. © 2013 EYGM Limited. All Rights Reserved. EYG No. EF0128 CSG/GSC2013/1115394 ED 0114 In line with EY’s commitment to minimize its impact on the environment, this document has been printed on paper with a high recycled content. This material has been prepared for general informational purposes only and is not intended to be relied upon as accounting, tax, or other professional advice. Please refer to your advisors for specific advice. ey.com