$50 Billion Unlocking Digital for Bharat - Omidyar Network
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Unlocking Digital for Bharat $50 Billion opportunity
Introduction
• While India has made significant progress in enabling internet access for its
population (lower data prices, cost of smartphones coming down, etc.), large
disparities exist in internet usage across:
– Demographics and socio-economic classes (across gender, rural/urban, income
groups)
– Type and nature of internet usage (content consumption, service transactions, product
transactions, etc.)
• We believe the next wave of innovation in India needs to focus on serving
the unique needs of 500M+ population base, which is either using the
internet or making a transaction on the internet for the first time
• This research focused on developing insights on understanding key user
barriers and interventions required across various stages of the user
journey, with the following objectives:
– Understand the barriers preventing new users from coming online and existing users
transacting online
– Define potential interventions required to enable existing users to use the full power of
the internet
– Highlight implications for businesses
3
Summary
Untapped potential: • India has the second-highest active1 Internet users globally (~390 million) and has seen the highest velocity of user addition (average 40 million
Large Internet user base (390 million), with added per year). Further, mobile data usage (~8 GB/subscriber/month) has reached the levels of developed markets. But challenges remain.
substantial room to grow penetration and • Compared with China and Brazil, India is behind on penetration (28% penetration compared with 64% in Brazil and 53% in China)
online spending • Large variation in Internet access across demographics: 55% Internet penetration in urban areas versus just 15% in rural areas; 33% of the male
population accesses the internet versus just 22% for women
• Online retail spending in India ($224/online buyer/year) is almost 1/10th as compared with China ($1862)
Decoding barriers: • User base is skewed and not equitable across socio-economic classes:
– Of the 390M internet users, ~80% (300M) are from relatively affluent NCCS segment A, B, and C alone
More than 500 million new Internet
– A mere 13% internet penetration across lower-income NCCS2 D, E segments (just 90M users in a base of 710M) versus 73% across NCCS segment A
users/online shoppers are expected, but
there are many barriers to solve • Transacting user base is small: Of the 390M users, only 40% (160M) transact online
– Transacting base skewed as well: 90% transactors (140M out of 160M) from NCCS segments A, B, and C
• Balance 60% of users (230M) go online for product research and content but prefer offline channel for transactions
– Large unlock possible by enabling online transactions for a broader user base
• Journey of trust: Typical users take 3–4 months from internet usage to first transaction
– Critical to engage and retain users through content and relevant use cases: Trust in channel increases as more time spent being on Internet
– Among users who have been on the internet for 2 or more years, 61% transact online. The number is just 27% among new users
• Large number of dropouts in digital journey: 54M users, across NCCS segments A, B, C alone, stop online transaction post first trial purchase
– Critical to re-engage with the journey dropouts to increase transacting user base
User interventions: • Four key themes to drive awareness, usage, and transactions among the current and next set of Internet users:
– Government and private partnership to create access, awareness and literacy. Enable 370 million people in NCCS segments A, B and C and many more across NCCS
Four key themes to drive awareness,
segments D and E to get online
usage and transactions among the current
– Build locally-relevant solutions across content and use cases to drive user-engagement; key to unlock 130M new users by doubling Internet penetration in rural areas and to
and next set of Internet users/online increase participation in women
shoppers – Create an ecosystem for the self-employed to diversify and augment income via digital; influence nearly 40% of the workforce across 46 million micro, small and medium
enterprises
– Strengthen trust to drive purchase consideration, transaction and retention through omni-channel presence, reinforcing product quality in brand messaging, and assuage
concerns on product returns by redefining return policies and messaging around them
• Impact—$50+ billion in potential online commerce unlock (basis: NCCS segments A, B and C) through new users and reengaging the users who
have stopped; impact manifold, including NCCS D and E segments
Business implications: • Consumer willingness/ability to spend online will be low over the medium term, limited by low GDP per capita
Profitability and scale to take time, tech- • Businesses to find frugal and innovative ways to sustain and wait longer for scale; at the same time, businesses should consider alternate
enabled businesses to brace for the long monetisation approaches beyond consumers
haul; devise alternate monetisation
strategies
1 Active user: Used internet in last 1 month
NDL Google_ NHBU_v58 4
2 NCCS: New Consumer Classification System
Untapped potential: Large Internet user base (390 million), with substantial room
to grow penetration and online spending
AGENDA
Decoding barriers: More than 500 million expected new Internet users and
online shoppers, but many barriers to solve
User interventions: Four key themes to drive awareness, usage and transactions
among current and next set of Internet users
Business implications: Profitability and scale to take time for tech-enabled
businesses; need to devise alternate monetisation strategies
Untapped potential
India has the second-highest number of Internet users (390 million) globally, with
substantial room for growth (28% penetration)
Strong growth trajectory in
building a 390 million Internet
user base, with large growth
headroom.
– About one in five people in India
currently owns a smartphone.
This number has doubled since
2014 and is projected to cross
400 million (nearly 30% of the
population) over the next three to
four years.
– While the number of 3G/4G
subscriptions in India has
quadrupled since 2014 and is
expected to continue growing,
nearly two-thirds of the telecom
subscriber base is still on 2G.
Notes: Penetration numbers are defined as a percentage of total population; Internet users are defined as the population using the Internet at least once a month; smartphone penetration is defined as the number of users who own at least one smartphone
and use it at least once per month
Sources: Forrester; eMarketer (smartphone penetration); IMRB I-CUBE (Internet users for India); 3G/4G subscriber data from Ovum; APJII Indonesia
NDL Google_ NHBU_v58 7
India lags China and Brazil in Internet penetration, but its user growth has been the
highest: more than 40 million new users on average per year since 2013
India lags China and Brazil in Internet penetration … … But shows strong growth in user base
Causes of the spike
• Increased smartphone affordability
• Reduced data prices due to Jio (from
$4.40 per gigabyte in 2014 to $0.17
per gigabyte in 2017)
Source: Forrester, Economic Times, Value Research Online, Bain analysis
NDL Google_ NHBU_v58 8
Data usage on mobile devices in India reached levels of some of the developed
markets in 2017
Data usage on mobile device per subscriber: mobile (3G and 4G) and fixed/Wi-Fi networks
• Mobile
broadband,
particularly 4G,
is driving the
uptake of high-
speed Internet
in India
• Penetration of
fixed
broadband
continues to be
low
Note: 2017 data (except US, 2016)
Sources: Nokia MBiT report; Analysys Mason; FCC report; eMarketer
NDL Google_ NHBU_v58 9
Some challenges remain: The user base is skewed compared with other countries;
rural areas and women have less access
Gender: high disparity between male and female Rural vs. urban: rural penetration much lower
Internet penetration than urban
Note: Brazil’s rural vs. urban data is for 2016
Sources: China Internet Network Information Center; IMRB I-CUBE; World Bank; APJII Indonesia; Bain analysis
NDL Google_ NHBU_v58 10India is in the early stages of online commerce: The average online spending of
$224 per online buyer much lower than other markets
• India’s online retail Online retail spending in India is much But there has been strong growth over
market has grown lower compared with other countries 2012–17
at 70% (albeit over
a smaller base)
over the past five
years Growth was led by an increase
in gross merchandise volume
per shopper; the percentage of
• An aggressive e- online shoppers is stagnant
commerce
marketplace driven
by discounts, Highest growth in
advances in online spending
across major
delivery economies
infrastructure and
an underlying
growth in
smartphone
penetration/data
usage seems to be
driving this growth
Sources: Forrester; Bain analysis
NDL Google_ NHBU_v58 11The early stage in online commerce is also evident in lower penetration across
categories
India (2017)
Brazil (2017)
• Digital penetration
in India varies
China (2017)
significantly across
categories, with
consumer
electronics and
apparel the most
digitally-penetrated
categories
• All categories are
underpenetrated
and have
substantial growth
potential
Sources: Euromonitor; grocery data from Forrester; includes both organised and unorganised retail
NDL Google_ NHBU_v58 12India is at a critical stage in its digital journey, with substantial growth potential in
usage and transaction
Given where we are today … … What is needed to drive the next wave of growth?
• Nearly 30% of overall Internet • How to enable more users to come
penetration, with rapid growth and online?
substantial room for more growth
• Large opportunity to enable Internet • What will it take to further enable
access across rural (15% penetration) online commerce across existing and
and female (22% penetration) new users?
segments
• Low average online spending, but • Learning and implications for
it’s growing at nearly a 23% CAGR businesses
(2012–17)
NDL Google_ NHBU_v58 13Decoding barriers
Understanding the landscape of Internet users in India
Key elements Our approach
• Current users vary in their
Internet consumption and
behaviour
– Segment users by usage type
– Understand barriers to usage
and transactions
– Large potential to unlock by Segmentation and Consumer research Learnings from other Interactions with
enabling current users to do prioritisation countries industry
more transactions online
• Segment population • Pan-India consumer • Understand how other • Perspectives from
• Next set of users will be using two lenses research to understand countries that are industry participants/
different from the current – Point of digital adoption: user journeys, barriers, ahead on the digital investors
base basis usage and/or etc., across curve compared with – Such as companies in
transaction demographics India overcame these
– Identify pockets from where online education,
the next wave of users and – Affluence basis socio- – ~35 in-depth qualitative challenges healthcare, agriculture,
economic class (NCCS interviews banking/finance
transactors will emerge system) – e.g., China, Brazil,
– Quantitative survey of Indonesia – Interactions with investor
– What are the barriers to ~3,400 respondents community
usage? • Prioritisation to focus
on segments that are
poised to use/transact
online over next few
years
NDL Google_ NHBU_v58 15We used industry-defined standards of socio-economic affluence and type of internet
usage for segmentation
Product Non-Internet users
transactors
Have not accessed
NCCS*—A NCCS—B/C
Active internet users Internet in the past
Chief wage earner Education level of (AIUs) and have month (not an AIU)
(CWE) is literate CWE varies purchased a product
(education can (illiterate to online (books,
Socio-
vary from graduate) and apparel, mobile
economic Type of
schooling to household owns 3– phone, etc.) in last
affluence Internet
graduate) and 7 consumer three months
(BARC use
household owns standard1) durables Service Non-transactors
six or more transactors
consumer Active Internet users
durables AIU but online spends (AIU), but no online
limited to services such as service/product
bill payment, ticket booking, transaction in the last
NCCS—D/E money transfer, etc., during three months
last 3 months
Education level of CWE varies (illiterate
to graduate/ college) and household owns
four or less consumer durables
Combining socio-economic affluence and Internet usage creates a set of cohorts (e.g., C1=non-users in NCCS A, C2=non-
users in NCCS B/C) described on the following page
* New Consumer Classification System (NCCS) is used to classify consumers by the BARC
Note: Definitions of NCCS classifications are approximate
NDL Google_ NHBU_v58 16Usage type varies significantly across socio-economic classes
Type of Internet use Takeaways
Total 1• 390M (1 out of 3) people online,
Non- (Internet users, but only 40% of users perform
Internet Non- Service Product penetration online transactions
M population users transactors transactors transactors within NCCS)
NCCS 3 ~40 ~40 ~30 ~40 2 150 2• Large variation in Internet
A (C1) (C3) (C5) (C7) (110M, 73%) access and transaction across
Socio-economic affluence
socio-economic classes
– ~80% (300M of 390M) users from
NCCS ~325 ~120 ~30 ~40 515 NCCS A/B/C
B/C (C2) (C4) (C6) (C8) (190M, 38%)
– NCCS D/E: Largest population
segment but low Internet
penetration: 13%, 90M users
NCCS ~620 ~70 ~5 ~15 710
D/E (90M, 13%)
3• 500M+ potential new users and
product transactors across
Total 985 1 230 65 95 1375 NCCS A/B/C. Many more,
(% of Internet (0%) (60%) (15%) (25%) including NCCS D/E*
penetration)
* This research is based on a study of NCCS A/B/C segments to ensure adequate sampling, but insights also applicable across NCCS D/E
Source: IMRB iCube Survey 2017 (80,000 respondents across urban and rural India). Kantar IMRB does not assume any responsibility and risk with respect to the use of this report, with regard to information provided therein, including without limitation, all
contents and materials, all of which are provided without warranty of any kind, including but not limited to warranties concerning the accuracy, completeness or usefulness of content or information, non-infringement, merchantability or fitness for a particular
purpose. In no event will Kantar IMRB or its affiliates, or their respective directors, officers, agents, contractors, suppliers or employees be liable to for any direct, indirect, special, incidental, consequential, exemplary or punitive damages, losses or causes
of action, or lost revenue, lost profits, lost business or sales, or any other type of damage arising from your use of, or the inability to use, or the performance of, our report or the content or material.
NDL Google_ NHBU_v58 17Demographics across user types are significantly different but overall skew towards
young, male and urban
COHORTS C1 TO C8 O N LY
Non-users
have a
larger
share of
women
Good representation of women in
40%+ of transactors are between 19 and 34 years 90%+ of product transactors are from urban
current product transactors, but larger share of
old. Under-representation from other age groups pockets. 65% of current non-users are rural
non-users is women
Notes: Includes cohorts from C1 to C8; top 9 metros are Mumbai, Delhi, Kolkata, Chennai, Bangalore, Hyderabad, Ahmedabad, Pune, Surat; rest (urban) includes all the other urban areas excluding the top 9 metros
Source: IMRB iCube Survey 2017 (80,000 respondents across urban and rural India)
NDL Google_ NHBU_v58 18Familiarity leads to transaction over time: Once online, users transition to
transaction if they continue to engage
Increasing percentage of service/product transactors Journey strongly reflected in urban users (especially
with increase in time spent on the Internet metros), but rural users don’t transition as well
Urban
Rural
Overall, >2X more transactors among people who have been online No significant increase in transactors across rural users over time;
more than 2 years vs. recent users (4–6 months) could be indicative of trial purchase
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 19Plugging the gaps can lead to an increase in the transactor base
ACROSS NCCS A/B/C
Potential to double the
current product transactor
base by:
1– Plugging the leakage:
54M across NCCS A/B/C
have stopped online
transactions after first
purchase
2– Building the base:
– Enable 36M service
transactors to make an
online product purchase
by addressing their
• 30M have transacted in • 24M have purchased a • 50% (40M) start online concerns
the past but then stop product online in past but transactions with a product
then stop purchase
-
– 160M content consumers
• Balance 130M research • 36M never move to Usage to purchase wait
online but don’t transact purchasing product online
time: 3-4 months who research online but
- Trial purchase drive by transact offline
discounts, COD, friends
and family
Sources: Consumer survey, February 2018 (n=3,442); IMRB iCube Survey 2017 (80,000 respondents across urban and rural India)
NDL Google_ NHBU_v58 20Non-users: 370 million across NCCS A/B/C and 620 million across NCCS D/E
What stops them from being online? Future
Who are they? Learnings from NCCS A/B/C cohorts outlook
• Majority from rural areas • Awareness/knowledge—41% (150M) of non- • High inclination
(~65%). For non-users users reported not being aware of the Internet (~60%) among
from urban centers, 50% and how to use it respondents to
are from urban small adopt Internet in
• Lack of means to access the Internet—34%
towns the near future
(120M) of non-users reported not having means
• Women form the majority (PC/mobiles) to access Internet or lack of – Particularly high
of the non-users (64% of affordability inclination
amongst young
non-users across NCCS A • Not allowed to access—8% (30M) of non-users urban males
are women and 53% of (primarily women) mentioned “not allowed to
non-users across NCCS access internet” as reason for not being online;
B/C are women) more pronounced in rural areas
• Typically skilled/unskilled • No perceived need/relevant content—7% (25M)
labourers, farmers,
Non-users housewives, traders,
small shop owners, and
of non-users don’t think the internet serves any
need or cannot find relevant/engaging content
so on • We expect that similar challenges will apply to the
NCCS D/E non-users as well (620M)
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 21Lack of awareness, means and cultural or social factors (especially for women) are
key barriers. Affordability continues to be a concern
• Survey findings indicate that Top reason among non- Across NCCS A/B/C non-
Internet awareness users for not using Internet users
continues to be low Need to address:
of respondents report lack of • Knowledge/awareness
perceived need or content
• A large segment of the
population reported not having
7% (not relevant, cannot find,
not engaging) as main
• Social factors
the means to access the concern. Impacting 25M
non-users • Affordability and lack of
Internet
access
of respondents not allowed
• Cultural/social to access Internet. 30M • Lack of perceived need
considerations hinder usage 8% impacted; heavily skewed
within specific segments
towards women (14%
women not allowed
• Know-how about usage
access vs. only 1% men)
(women, younger population) …to enable faster
of respondents mentioned transition of non-users to
• Affordability is still a sizeable not having means to
users
barrier 34% access Internet or finding
the internet expensive to
use. 120M impacted Potential to enable Internet
• Lack of perceived need and of respondents cited no access for 370M non-
content also a major barrier, knowledge about what the users across NCCS A/B/C
along with lack of know-how 41% Internet is or how to use it.
150M impacted alone
* Other reasons for not accessing Internet include non-availability of Internet access points, lack of Internet connection at home, security and trust issues, perception that Internet wastes people’s time, language issues, non-relevant content
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 22Non-transactors: 160 million across NCCS A/B/C and 70 million across NCCS D/E
What is the
What stops them from being online? user journey
Who are they? Learnings from NCCS A/B/C cohorts so far?
• Majority of non- • Lack of trust in getting the right products online: • ~20%
transactors are male 18% of respondents (27M across NCCS A/B/C) respondents
(56%), from urban areas mentioned as top concern (30M) have
(60%) and are under 34 – Amplified within urban aged population transacted online
years old (80%) • No touch and feel for the product/service when in past, but
• Primarily access Internet brought online: top concern for 18% of respondents stopped due to
to stay in touch with (27M impacted across NCCS A/B/C) poor product
friends and relatives • Offline channels more convenient—main point quality and
(~20%) and for highlighted by 12% of respondents (~15M across perception of
convenience in looking for NCCS A/B/C) better options
available offline
information and for • Grievance redressal (how to return a product,
Non- communication (~15%)
• Typically self-employed
money refund, etc.) also a major concern with 10%
of respondents (15M population across NCCS
A/B/C) mentioning it as major concern for
transactors professionals, small-scale
businessmen, skilled
transacting online
labourers, shop owners or
students
NDL Google_ NHBU_v58 23Lack of trust and the perception of better reliability and convenience from offline
channels are the primary barriers to online transactions
• Survey findings indicate there Top reason for non-
is a substantial portion of the transactors to not purchase Aggregate across NCCS
population who do not trust the products/services online A/B/C non-transactors
Internet for purchasing
products/taking advantage of of respondents find
services as they feel that they grievance redressal to be
will not get the right product or 10% a main concern (impact
15M)
service.
• Lack of touch and feel for of respondents find offline
online purchases also more convenient Potential to get more of the
dissuades a significant portion 12% (impact 18M)
~160M non-transactors to
of the population from
transacting online. online commerce by
of respondents addressing these concern
• Apart from the relative mentioned inability to
convenience and reliability of 18% touch and feel as a
offline, there is lack of barrier for online
understanding on how to purchases (impact 27M)
address grievances for an of respondents don’t have
online purchase if something trust in getting the right
were to go wrong (more so 18% product/service online
within the NCCS A classes). (impact 27M)
Other reasons for not accessing Internet include long delivery time, complicated transaction process, non-availability of products online, and convenience of offline channels.
Source: ConsumersSurvey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 24Roughly 20% of respondents have transacted in the past but stop after their first
purchase
Top reason for non-transactors
There is a significant fall-out of
almost 20% non-transactors to stop purchasing Aggregate across NCCS
following an initial trial purchase products/services online A/B/C non-transactors
across the NCCS A/B/C cohort of
non-transactors. of respondents quoted
inability to return product
13% as major reason for Companies need to
This is primarily driven by an discontinuing buying
ordered product not meeting the online (impact 4M) address consumer
quality benchmark. Better offline
of respondents felt that
concerns on grievance
options are also a major their data connection is redressal (product returns,
challenge in continuing online 15% not strong enough to buy
delayed delivery) and drive
transactions. online (impact 5M)
change in perception (e.g.,
Other key reasons include a of respondents offline has better options,
perception that online currently mentioned that they find
offers fewer discounts and lack of 16% better options offline
product quality etc.) to plug
redressal (inability to return (impact 5M) leakage of 30M one-time
products) product purchasers
of respondents felt that
It is important to address these the online product/service
concerns to push a significant 20% was not good (impact 6M)
portion of non-transactors into the
Internet transactor space.
Perception concerns
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 25Service transactors: 60 million across NCCS A/B/C, another 5 million across NCCS
D/E
What prevents people from What is the
shopping for products online? user journey
Who are they? Learnings from NCCS A/B/C so far?
• Predominantly men (75%); • Lack of adequate grievance redressal • Substantial
women underrepresented in mechanism: 21% (8M people across NCCS number of drop-
service transactions A/B/C) offs: 40% (24M)
• From mainly urban areas (75% had previously
• Trust—inability to touch and feel the product purchased a
of respondents) and a younger
before purchase: 20% (7M affected across product online but
demographic (60% under the
NCCS A/B/C) stopped due to a
age of 34)
better selection
• They access the Internet to • Higher perceived reliability of offline available offline, a
stay in touch with friends and products: 12% (4M impacted across NCCS bad experience
family and as a convenient way A/B/C) with online
to find information; introduced purchase or a
Service by a friend/family member
• Transact on the Internet
reduction in
online discounts
transactors because of convenience—
cheaper than offline and
availability of options
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 26Utility and banking are the first transaction for most, driven by convenience of
payments and availability of options
Most important reason to
First online transaction transact on the internet • A sizeable chunk of
respondents (28%, 17M)
find more options online
(e.g., booking movies,
• Roughly two-thirds travel, food delivery)
(~40M) of all service • ~26% (16M) transact on
transactors’ first online the Internet because it’s
transaction is a utility bill more convenient to pay
payment or a banking online than going
transaction through offline means
• Online travel booking is • There is also a
the next big entry point perception (20%, 7M)
that paying online is
cheaper than offline for
same service
(cashbacks, rebates)
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 2740% of current service transactors have purchased products online, but then
stopped for multiple reasons
• Consumers feel that offline Top reason for stopping Aggregate across NCCS
options are wider and hence Online product purchase A/B/C service transactors
do not prefer to purchase
products online. The selection
of products must be of respondents say that
improved/made easier to fewer discounts and • 24M people drop off after
access to be more appealing to 11% rising prices are the
buyers. reasons why they first product purchase
stopped purchasing
• A bad experience in the
products online (impact
3M)
• Significant opportunity to
purchase process or delayed further online commerce
delivery further erodes the trust
in buying products online.
of respondents had a bad by plugging the leakage
experience with online
17% purchases (impact 4M)
• Consumers are price sensitive, • Need to improve
and reduction in discounts selection, online
leads them back to their offline
channels, indicating that
shopping experience and
substitutability between online perception of fewer
of respondents find better
and offline channels remains options offline (impact discounts
high. 37% 9M)
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 28The remaining 60% never make an online product purchase—reliability, grievance
redressal and touch and feel are their main concerns
• E-commerce players must Primary reason for not Aggregate across NCCS
improve their grievance shopping online A/B/C service transactors
redressal mechanisms (or
consumer perception of the
• 36M people transact on
same) to spur online of respondents feel that services but have not
transactions. Improved returns offline products are more purchased a product
policies, customer support, 12% reliable (impacts 4M)
etc., and enhanced user
online
perception of the same are
potential levers. • Significant opportunity to
further online commerce
• Efforts to increase trust and
comfort levels of the less
of respondents want to by migrating this
touch/feel products
educated with online 20% before purchase (impacts segment to product
7M)
transactions may help them to transaction
purchase more.
• To alleviate concerns of touch
• Need to solve grievance
and feel, it would likely help if redressal, trust concerns
of respondents find
return policies were made grievance redressal and perception of
more consumer friendly and 21% mechanisms suboptimal
reliability of online
marketed better. (impacts 8M)
channels
Note: Other is language barrier, offline cheaper, products unavailable online, don’t know how to find products online, delivery times too long
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 29Product transactors: 80 million across NCCS A/B/C
What prevents people from
increasing spend/frequency of What is the
shopping for products online? user journey
Who are they? Learnings from NCCS A/B/C so far?
• Mainly from urban areas • Inadequate grievance redressal mechanism: • For 50% of
(~90%) and a younger impacts 16% (13M) of current product product
demographic (~70% under the transactors transactors, the
age of 34) first online
• Lack of trust/reliability in the online purchase was a
• Women equally represented in
product/service (impacts 16%, 13M) product. A large
current set of product
transactors: 47% are women share of older
• Preference for touch and feel (impacts 15%, people made
• 50% access the Internet to stay 12M) their first online
in touch with friends and family transaction in the
• Perceive offline channel as more convenient
Product and as a convenient way to find
information; introduced by a (impacts 9%, 7M)
form of a utility
bill payment
friend/family member
transactors
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 30For more than 50% product transactors, the first online transaction was a product
purchase such as apparel or footwear, with a variety of reasons given
What was the first online Most important reason to
transaction transact on Internet
• Top 3 reasons stated by
• More than half the ~80% of respondents: “more
respondents stated that a options”, “better quality
product purchase was their online” and “cheaper prices”
first online transaction, to buy goods online.
indicating that a large • For more than two-thirds of
number of users are respondents, finding more
transitioning directly from options is a key driver to
content to product transacting online.
transaction • This is in contrast to non-
• The rest start with a range of transactors who find better
different service transactions options offline, indicating
(utility bill payments, that purchase triggers are
financial transactions) related to not only price but
also perception about
availability and
discoverability of products.
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 31Better grievance redressal mechanisms, enhanced trust would spur more online
product purchases
Biggest reason for not
Offline purchases are more purchasing more products Aggregate across NCCS
convenient for NCCS A online A/B/C product transactors
respondents, so efforts for
enhanced delivery and logistics
and improved selection of of respondents want to
products would be required to get touch/feel products
them to purchase more. 15% before purchase (impact
12M)
• Scope to increase
Addressing mistrust of online
products through targeted ads or
frequency of purchase
of users don’t trust they by addressing concerns
in-app offers would help more
will be given the right
customers transact frequently. 16% product or service around grievance
(impact 13M)
redressal, trust and need
for touch and feel
Customer support, returns
policies and improving awareness
of the same would help address of users mention
grievance redressal issues. grievance redressal
16% mechanisms are
inadequate (impact 13M)
Note: Other is delivery times too long, process too complicated, don’t know how to find products online, language barrier
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 32Primary barriers across the user journey
NUMBERS FROM RESEARCH ACROSS NCCS A/B/C
Enable new users User engagement Purchase consideration Transaction and retention
Lack of awareness/knowledge No perceived need No touch and feel for products Not aware of return/grievance
Impacts 150M non-users 18M impacted 35M users stated as top reason for redressal
not making an online purchase 36M stated as top reason for not making a
Non-relevant content product or service purchase
Lack of means (PC + mobile) or
affordability 7M stated as key reason for not using Offline more reliable and
Internet convenient Bad experience in online ordering
Main concern for 120M non-users
35M users stated as top reason for 7M mentioned as main concern for not
Not allowed Internet access not making an online purchase continuing online transactions beyond first
trial
Top concern for 30M non-users
Not sure of product/service
(mostly women)
quality (lack of trust)
30M users stated as top reason for
Lack of need or relevant content not making an online purchase
Impacts 25M non-users
Above barriers would also apply, in similar proportion, across the 710M NCC D/E population base
Source: Consumer survey, February 2018 (n=3,442)
NDL Google_ NHBU_v58 33User interventions
Four themes to unlock the $50B+ of online commerce from the next set of users and
transactors
Enable new users User engagement Purchase consideration Transaction and retention
• Create access, awareness and • Build locally-relevant solutions across content and use • Strengthen trust across the user touchpoints to drive transactions by:
literacy through government and cases – Having an omnichannel presence
public–private partnership – Critical to drive Internet penetration and usage in rural India – Building consumer confidence by reinforcing product quality
– Enable 370M new users across – 130M new engaged, connected users by doubling rural Internet
NCCS A/B/C – Assuaging concerns about returns by redefining/simplifying return policies and creating
penetration from current 15% messaging around them
– Many million more across NCCS
D/E • Create an ecosystem for the self-employed (Micro – Reengaging 54M users who have stopped online product purchase after the first purchase
Small and Medium Enterprises [MSMEs]) to diversify – Helping transition 160M Internet users who are not performing any transactions right now
and augment income via digital channels
– Potential to influence 40% of India’s workforce employed with
46M MSMEs through informed and connected ecosystems
• US$30B–$40B potential unlock of online commerce across new users1
• US$6B–$12B potential uplift in online commerce by plugging the leakage and reengaging 54M users who have stopped online commerce after first trial2
• US$14B–$18B potential unlock in online commerce by helping transition 160M non-transactors to online purchase3
• Above impact estimated across NCCS A/B/C cohorts. Impact would be manifold considering NCCS D/E population base of 710M, of which 620M are currently non-users
1. $30B–$40B impact on online commerce assuming 40–50% of 370M new users do online transaction and spend US$224 on an annual basis, which is the average across current online buyers
2. Impact of $6B–$12B assuming 50–100% of 54M past product transactors restart transacting and spend US$224 on an annual basis, which is the average across current online buyers
3. $14B–$18B impact on online commerce assuming 40–50% of current non-transactors start online product purchase and spend US$224 on an annual basis, which is the average across current online buyers
Sources: The Economic Times; Census (2011); IMRB iCube (Internet users for India)
NDL Google_ NHBU_v58 35Government and public–private partnership to improve Internet awareness and
enable new users
ENABLE NEW USERS
Assist and facilitate Invest in Internet-access
Promote digital literacy usage infrastructure Improve affordability
• Specific focus on women • Handhold specific • Encourage partnerships to • Low-cost solutions to drive
and children to show segments, especially rural widen and improve Internet- access—e.g., data
benefits, break taboos aged and women, to teach access infrastructure affordability, low-cost
how to access and use – Especially in rural (and often devices
• Increase the coverage and Internet economically unviable)
depth of basic Internet regions
education in schools and • Continue to push
vocational education government services/ • Encourage private-sector
content availability online investments
– E.g., through assured
revenue model to private
players
– Tax incentives
NDL Google_ NHBU_v58 36Brazil and China have successful initiatives to improve access and literacy
ENABLE NEW USERS
Brazil Brazil
China
Programa Nacional de Banda Recode Brazil Broadband China
Objective • To triple fixed-line and broadband access by 2014 with a focus on • Focus on digital empowerment by qualifying the • Government plan to drive broadband
rural areas young to become more autonomous, aware and advancement by increasing speed and Internet
connected through the use of technology penetration and building next-generation
• National broadband plan, launched by Brazil government in 2010
infrastructure
Approach • Public–private partnerships created by auctioning off licenses for • Schools are equipped with 5 computers to train 10 • Planned investment of ~$300B
4G, broadband students per session on basic and advanced
• Various elements, including coordinated regional
computer usage skills
• Tax incentives to both firms and consumers broadband development, upgrading network,
• State-owned telecom operator, Telebras, built infrastructure • Beyond Recode’s initial investment, the EIC improve network applications, etc.
schools operate as self-sustaining units
Impact • 218M Internet accesses by 2016 compared with 30M in 2010 • 840+ EIC schools in Brazil and 15 other countries • Increase in coverage by 1.5x, penetration by 1.5x
have impacted >1.64 million lives and speed by 3x within 2 years
• Investments of R $15B+ in broadband networks
Commitment to invest behind infrastructure Partnerships with government and Large-scale govt. programme to
supported by tax incentives private organisations to increase digital drive access and Internet speed
adoption by youngsters
Note: EIC is School of Informatics and Citizenship
Sources: World Bank; government of Brazil; Recode Brazil; Pacific Telecommunication Council 2018; Reuters
NDL Google_ NHBU_v58 37India has major initiatives by government and private firms to build infrastructure and
improve access and affordability
ENABLE NEW USERS
BharatNet Jio i2ei Internet Saathi
Objective • Deliver high-speed broadband • Create an ecosystem • I2e1’s (Information To Every One) aim to • Improve Internet penetration
services in 250K+ villages where a user can access create the largest connected platform in amongst women in rural India
benefitting 200M rural Indians all services online from a the world
family of apps
Approach • Phased approach taken • Initially offered free • Artificial intelligence–based platform • Google partnered with Tata
– Phase 1: 100K villages (laying of Internet access to providing Internet access to consumers Trusts to launch a digital literacy
250K km of fibre-optic cable), started subscribers for seven and helping businesses through Wi-Fi program
in 2014
– Phase 2: 150K villages (laying of 1M
months analytics to target consumers • Women in rural India can
km of fibre-optic cable), started in • Slowly moved to a paid • “Customers can use free Wi-Fi and the complete the “Saathi” training,
2017 with aim to complete by Dec. model, created revolution retailers can get a profile of people who learning how to access and use
2018
– Phase 3 (2019–23): Plan to connect
in Indian Internet data walk in—and send targeted offers”— the Internet to impart training to
districts with fibre using state-of-the prices Founder, I2E1 their nearby communities
art network
Impact • Phase 1 completed by • Large customer base of • Wi-Fi hotspots to 1M+ users across • 166K villages touched
connecting 100K+ Gram 160M+ India • 45K+ Internet Saathis trained
Panchayats in Dec. 2017 • Services for 10K+ customers in 55 cities • Influenced 16M+ women across
• Global record of laying of 800 km. India
of optical fibre per day
Massive government- driven scheme Substantial impact on reducing Innovative model to provide free Wi-Fi Scale programme focusing on digital
to boost Internet access in rural data prices access literacy amongst women in rural
areas India
Sources: Government of India; Times of India, “Phase 2 34000 Cr Bharatnet begins today”; YourStory, “i2e1 Free Internet Startup’; NDTV; Hindu Businessline, ”Google Tata Trusts to expand Internet Saathi programme”
NDL Google_ NHBU_v58 38Creating solutions based on local needs and behaviour is critical to improving user
engagement
USER ENGAGEMENT
Create applications relevant for ‘Bharat’—customised
Build locally-relevant content to local needs, nuances
• Contextualised to local languages and communities to drive • Relevant for local needs and nuances, e.g., agricultural info,
adoption government schemes, skilling, content for women
– E.g., apps related to agricultural needs specific to Indian agri context, apps • Local-centric approach to user interface/design is the basis of
that provide info/guidance on women’s health target segment
– Next set of users will need simplified user interfaces, with intuitive
structures
• Customise user support to local needs, e.g., on call in multiple
languages, more in-built guides
– Provide more accessible, relevant support to solve user concerns
130M potential new engaged, connected users by doubling rural Internet penetration from current 15%
Sources: Consumer survey, February 2018 (n=3442); Bain analysis
NDL Google_ NHBU_v58 39Dailyhunt and Pratilipi players that provide locally-relevant content to a broader user
base
USER E N G AG E M E N T: LOCAL SOLUTIONS
dailyhunt Pratilipi
About • News and local language content application • Platform to discover, read and share stories, poems and books in local
languages
• Targets mobile audience
Approach • Machine learning and deep learning technologies used for smart curation • On-boarded both professional and hobbyist writers
of content defined by language, location, interests and other
demographic variables • Operational in eight local languages; large Indian population can only
read/write/speak in Indian languages, and only a small share of online
• Tracks user preferences to deliver real-time, personalised content and content is in Indian languages
notifications
• Monetisation plans in future:
– Premium content for which users will pay
– IP rights for valuable content pieces
Impact • 155M app installs with 50M+ users • Largest Indian language self-publishing platform, with 1M+ downloads on
Play Store
• Offers 100K news articles in 14 languages licensed from 800+
publication partners every day • 150K+ content pieces published by 22K+ authors
• Launched Newzly, a news-in-brief app for Android users • Large penetration amongst women: 71% of the readers and 40% of the
– “India has a large local language population with diverse needs and the launch of writers are women
Newzly is part of our expansion of the product portfolio to serve those needs”—
Founder & CEO
Creating tech-enabled smart content for large local language Increasing Internet usage by tackling language barriers in
population with diverse needs both content creation and consumption
Sources: YourStory, “Pratilipi Series A”; Hindu Businessline, “Dailyhunt launches newzly a newsinbrief app in 9 languages”; INC42, “Pratilipi Omidyar Network Funding”
NDL Google_ NHBU_v58 40Indus OS customises the interface for better local adoption; IFFCO Kisan
customises user support for farmers across states
USER E N G AG E M E N T: LOCAL SOLUTIONS
Indus OS IFFCO Kisan
About • Regional operating systems for mobiles, made for smartphones • Provides timely, relevant and high-quality information and services to
customised for needs of India and other emerging markets farmers by leveraging mobile phone
Approach • Designed product with an OS built for regional languages • Mobile application: Provides weather forecasts, market rates, market
information, customised advisories, news, etc., in 11 Indian languages
• Powers the digital needs of users in a revolutionary contextual and
seamless interface that is made to reduce battery and data consumption • Green Sim: Provides three daily free voice-based messages in local
while making the experience intuitive vernacular language to customers
– Example: Ola available in 12 regional languages catering to 95% of the Indian
population • Kisan Call Centres (KCCs): Answer farmer's queries via telephone in
their own language/dialects. Experts are able to provide them with
• Monetisation: Revenue through licensing fees from original equipment valuable inputs; two level call handling at KCCs
manufacturers (OEMs) and App Bazaar (Indus OS’s marketplace) – Level 1 support includes farm tele-advisors (FTAs)
– Level 2 consists of subject-matter experts (SMEs)
Impact • A very popular OS in India, with a user base of 10M+ • 400K+ mobile app users
• OS available in English and 12 Indian regional languages • 150K+ help line calls answered yearly
• Large scale Agri Value Added Service (VAS) deployment (voice
messages, SMS) – 1.8M active users
Creating a mobile operating platform supporting various Providing localised, customised information to farmers
languages (through app, call centre)
Sources: YourStory, “How Indus OS is helping smartphone manufacturers penetrate 'Bharat'; Firstpost, “Indian startup Indus OS success story published as a case study, will be distributed by Harvard Rusiness Review”; IFFCO Kisan website; GSMA, Case
Study—IFFCO Kisan Agricultural App
NDL Google_ NHBU_v58 41Create an ecosystem for small and medium-sized enterprises and entrepreneurs to
help augment income streams
USER E N G AG E M E N T: C R E AT I N G AN ECOSYSTEM
Improve digital access for Improve ease of business and Capture value through targeting
small/medium-sized enterprises, productivity—e.g., low-cost specific parts of value chain, e.g.,
entrepreneurs performance monitoring, tracking last-mile delivery, direct sourcing
• Provide a B2B platform and back-end • Readily deployable, easy to use, low- • Drive efficiencies by focusing on specific
support to enable transactions between cost solutions to help small/medium- parts of value chain; e.g., direct farm
buyers and sellers; e.g., Udaan sized enterprises manage their sourcing for retailers, equipment rental
businesses; e.g., Zoho for farmers
• Build a supplier ecosystem
Potential to influence 40% of India’s workforce employed with 46M MSMEs through informed and connected ecosystems
Source: Economic Times
NDL Google_ NHBU_v58 42DaDaABC in China created an innovative learning model for teachers and affordable
learning for students
USER E N G AG E M E N T: C R E AT I N G AN ECOSYSTEM
Win for teachers Win for students
• One-on-one classes: • Quality teachers located
Instructors do not have anywhere in the world
to split their time and Technology to • Live classes: Allows
energy teaching many connect people students to choose a
students and enable
Vision: Online English subject that they are most Impact: Considered most
• Flexibility: Offers stay- learning interested in
education platform focused on at-home parents an
innovative English training
• Regular instructors
one-to-one tutoring alternative source of institution in China
income • Relationship building with
teachers
Founded in 2013
“The target of DaDaABC is
50K+ students
Model: One-on-one online tutoring model provides
to build an international
online school without any students access to quality education and an 15+ awards and recognitions
walls” alternate source of income for instructors in 2016
—CEO and founder
“Proprietary language-learning
techniques makes learning a
language fun, easy, and effective”
—PR Newswire
“Remote learning with lessons
delivered by live video makes
lessons possible and affordable”
—News Reporter
Built a digital ecosystem enabling improved access to both teachers and students
Sources: CrunchBase; PR Newswire
NDL Google_ NHBU_v58 43China Learning built an online literature ecosystem by enabling content consumption
and improving ease of use
USER E N G AG E M E N T: C R E AT I N G AN ECOSYSTEM
• Ecosystem built around writers, IP operations,
content adaptation partners and readers
• Bulk of revenue obtained from paid readership on
own/self-operated channels
Objective: Build
ecosystem to aggregate Impact: Largest online literature
online literary work marketplace in China
Approach: Distribute through various
channels and adapt to other digital
formats
• Set up by Tencent in 2004 • Frost & Sullivan ranking:
#1 among online literary platforms
• Gives readers access to a
multitude of literary content • 6.4M Talented writer pool
• 9.6M Literary titles
• Gives writers an opportunity
to reach a large audience • 192M MAU
and generate income
• 1 hour/day user engagement on
Note: MAU is monthly active users QQ Reading mobile app
Source: JP Morgan analyst report, “Initiating coverage, APAC Equity Research”, 19 January 2018
NDL Google_ NHBU_v58 44NowFloats reaches small and medium-sized businesses with their customised digital
ecosystem and access to a large market
USER E N G AG E M E N T: C R E AT I N G AN ECOSYSTEM
Strong geographic and customer growth
• 40 cities in India; growing presence in Tier-3 towns “There has been a false belief that Indian SMBs
don’t pay for software services. Actually, they
• Present in 5 countries—US, UAE, Hong Kong, Philippines and India pay when they see value in a product, and the
• 250K+ businesses launched online globally product must address challenges specific to
Indian SMEs”
• 11M+ unique visitors a month —Cofounder & COO, NowFloats
Gives small and medium-sized businesses a platform for their websites
Comprehensive, • Creates interactive business websites with end-to-end services—design, performance, discovery (SEO), marketing
technology-based (SEM), payment gateway and customer lead management
website ecosystem, • Wide range of products to cater to every customer requirement:
targeting small and – Lighthouse—dynamic website with auto SEO support and live analytics
medium-sized – Wildfire—digital marketing support
businesses – Bizapp—personalised business app
– Dictate—website content creation
Subscription- based • Fixed annual subscription fee model with significant discounts for long-term subscriptions
monetisation model
Note: SMB is small and medium-sized business
Sources: NowFloats website; Economic Times, “NowFloats raises 10mn in a series B round”, “NowFloats helps SME gain customer traction”; Businessworld, “Markings its presence across North India—Nowfloats records over 38000 live businesses in 3
years”
NDL Google_ NHBU_v58 45Players in India are creating tech-based ecosystems for small and medium-sized
businesses
USER E N G AG E M E N T: C R E AT I N G AN ECOSYSTEM
ZOHO Udaan
Objective • Provide a cohesive set of applications to run an entire business on the • Connect SME manufacturers and wholesalers with retailers online,
cloud provide logistics, payment and technology support
Approach • Offering comprehensive, technology-based ecosystem: • Technology-based supply chain model: One-stop solution fulfilling orders
placed on its platform through third-party logistics providers
- Applications for acquiring and serving customers (marketing, sales and support)
- Applications to run operations (finance, recruiting and HR) • Additional services include order management, accounting and payment
- Collaboration tools (Office suite, mail)
management solutions to merchants
• Pay-as-per-use model: Allows SMEs to scale up without high upfront
investment
Impact • 30M+ users with strong presence in India and also in US and Europe • Delivers to 500+ cities across India; sellers in 80+ cities
• Strong commercial momentum: Customers purchase ~7 times a month;
conversion rate up to 40%
Enabling low-cost, flexible means to improve business Empowering small businesses to connect with retailers online
productivity
Sources: Press reports; CrunchBase; VCCircle
NDL Google_ NHBU_v58 46Strengthen trust from access to transaction to service or product delivery
PURCHASE C O N S I D E R AT I O N AN D RETENTION
Build consumer confidence by redefining policies and
Build omnichannel presence brand messaging
• Critical for sectors in which offline element is key to overcoming • Targeted campaigns with a messaging around quality, authenticity,
trust barriers and/or generate trials returns
- E.g., education, agritech, specific e-commerce categories (fresh grocery,
apparel) • Policies to support messaging (e.g., service guarantees, clear
returns policies)
• Strengthen customer service and grievance redressal
mechanisms
Reengage 54M users who have stopped online product purchase after the first purchase
Help transition 160M internet users who are not currently making any transactions
Sources: Consumer survey, February 2018 (n=3442); Bain analysis
NDL Google_ NHBU_v58 47Hema supermarkets in China built an innovative model to encourage online–offline
integration in retail
PURCHASE C O N S I D E R AT I O N AN D RETENTION
Hema stores provide a seamless customer experience Innovations that increased transactions per customer
1 Customer • Customer can select the merchandise Efficient • Offline stores serve as front warehouse,
Product online or in Hema stores inventory and sharing inventory with online formats
selection logistics
management • “In-store selection, Hema delivery” is also
provided
Order • Order can be placed online or in stores
2 • Online orders delivered in 30 minutes
placement for delivery at a later date
within 5km
• Order is assigned to nearest store
Digitalised • QR code scan of electronic price tags
3 Packaging at • ~3km radius geographic coverage;
information enables consumers to view product info
store typically located in populated areas
and operations on mobile phone
management • Digitised information also allows accurate
shelf merchandising and inventory
4 Delivery by • Full-time delivery staff of each store, management
full-time with standard delivery equipment
staff
Synchronised • Online and offline consumer data is
online and synchronised through payments powered
• Founded in 2016 and backed by Alibaba, Hema has 25 stores in two store offline
types (large stores with more services, basic format stores) by Alipay
customer data
• Per-store annual sales are estimated to be ~$38M • Customised, behaviour-linked digital
marketing
• Offline stores to use capability/network from Alibaba group for procurement,
supply chain and payment (exclusive Alipay) • Data is also helpful in recognising key
locations to demonstrate popular
Note: RMB-to-USD conversion, December 2017 products
Sources: Analyst reports; store visit; lit research; Bain analysis
NDL Google_ NHBU_v58 48You can also read
