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-­‐	
  Mehul	
  Agrawal	
  
Co-­‐founder	
  and	
  Managing	
  Director	
  
Relevance of online
platform for Furniture
Industry
AGENDA
E-commerce - Why e-tailing?
Furniture e-tailing – Why Furniture as a category will do great online?
Understanding Customers - Who are they and what’s in it for them?
Implications – What do brands/vendors need to do?
Before we start – What do you think of
online?
Online is for discount mongers – cheap cheap cheap!
•  60%+ sales without discounts
•  Repeat purchases are significant – shows genuine interest
Online is for urban population – hi-tech youngsters!
•  40% sales outside top 10 cities; expected to rise to 60%
Only low value products sell online
•  Maximum basket size – 2.5 Lacs; 70-80% revenues from orders above Rs. 3,000
Online has excessive returns – loss making proposition
•  <5% returns when managed properly, and doubles the conversions online
E-­‐commerce	
  –	
  Why	
  e-­‐tailing?	
  
Indian retail market is largely unorganized
E-tailing is providing impetus to growth of organized segment
However,	
  overall	
  share	
  of	
  e-­‐commerce	
  in	
  India	
  will	
  s5ll	
  be	
  miniscule	
  (~1%)	
  compared	
  
to	
  US	
  (~9%)	
  and	
  China	
  (7-­‐8%)	
  
3%	
  
5%	
  
12%	
  
20%	
  
2005	
   2010	
   2015	
   2020	
  
0%	
  
10%	
  
20%	
  
30%	
  
Organized	
  as	
  a	
  %	
  of	
  Total	
  Retail	
  
13-­‐15%	
  
25-­‐30%	
  
60%+	
  
Overall	
  Retail	
   Organized	
  Segment	
   e-­‐Commerce	
  
CAGR	
  OF	
  RETAIL	
  
CAGR	
  
>90%	
  market	
  sCll	
  unorganized	
  today	
  
E-­‐commerce	
  is	
  expected	
  to	
  grow	
  5	
  Cmes	
  
faster	
  than	
  overall	
  retail	
  
Source:	
  Broker	
  Research	
  
29	
  
36	
  
46	
  
60	
  
80	
  
137	
  
190	
  
273	
  
376	
  
3%	
  
3%	
  
4%	
  
5%	
  
7%	
  
10%	
  
15%	
  
22%	
  
30%	
  
0	
  
100	
  
200	
  
300	
  
400	
  
2007	
   2008	
   2009	
   2010	
   2011	
   2012	
   2013	
   2014	
   2015	
  
0%	
  
25%	
  
50%	
  
Unique	
  Users	
  (million)	
   Penetra5on	
  (%)	
  
Increasing penetration of internet is fueling
e-tailing growth
4	
  
5	
  
7	
  
8	
  
11	
  
13	
  
21	
  
28	
  
45	
  
2007	
   2008	
   2009	
   2010	
   2011	
   2012	
   2013	
   2014	
   2015	
  
0	
  
25	
  
50	
  
Users	
  transac5ng	
  online	
  (million)	
  
Exponen5al	
  growth	
  of	
  users	
  that	
  will	
  be	
  transac5ng	
  online	
  
By	
  2015,	
  30%	
  of	
  Indian	
  populaCon	
  will	
  be	
  
using	
  internet	
  
10%	
  of	
  Internet	
  users	
  are	
  already	
  transacCng	
  
online	
  
Source:	
  Avendus	
  Es<mates	
  
Consumers are also spending more time
online to aid their purchase decisions
71%	
  
64%	
  
29%	
  
24%	
  
15%	
  
9%	
  
6%	
  
3%	
  
19%	
  
10%	
  
0%	
   20%	
   40%	
   60%	
   80%	
  
Family	
  
Friends	
  
Online	
  product	
  reviews	
  
Product	
  web	
  sites	
  
Search	
  engines	
  
Discussion	
  forums	
  
Social	
  media	
  sites	
  
Influen5al	
  bloggers	
  
TV	
  
News	
  sources	
  
SOURCES	
  OF	
  RECOMMENDATIONS	
  FOR	
  PURCHASE	
  
30	
  
45	
  
2011	
   2015	
  
0	
  
25	
  
50	
  
75	
  
100	
  
125	
  
150	
  
DAILY	
  AVERAGE	
  TIME	
  SPENT	
  ONLINE	
  
Minutes	
  spent	
  online	
  (India)	
   USA	
  
9%	
  
13%	
  
18%	
  
33%	
  
19%	
  
8%	
  
<5	
   5-­‐10	
   10-­‐15	
   15-­‐20	
   20-­‐30	
   >30	
  
0%	
  
15%	
  
30%	
  
45%	
  
%	
  of	
  Purchase	
  Sessions	
  
LENGTH	
  OF	
  A	
  PURCHASE	
  SESSION	
  (MINUTES)	
  
Online	
  sources	
  are	
  aiding	
  purchase	
  decision	
  
of	
  Indian	
  consumers…	
  
…who	
  conCnue	
  to	
  spend	
  more	
  Cme	
  online,	
  
sCll	
  behind	
  global	
  peers	
  though	
  
Source:	
  Avendus	
  Es<mates	
   Source:	
  B2C	
  e-­‐Commerce	
  report	
  
Diversified access ensures that next growth
wave comes from smaller cities and towns
80%	
  
60%	
  
40%	
  
2007	
   2012	
   2016	
  
0%	
  
25%	
  
50%	
  
75%	
  
100%	
  
%	
  of	
  total	
  customers	
  
Online	
  players	
  are	
  gaining	
  increasing	
  
business	
  from	
  smaller	
  ciCes	
  and	
  towns…	
  
…as	
  the	
  pla_orm	
  provides	
  an	
  instant	
  vast	
  
reach	
  compared	
  to	
  offline	
  organized	
  players	
  
Source:	
  Avendus	
  Es<mates	
  
IllustraCve	
  depicCon	
  of	
  reach	
  of	
  organized	
  players	
  
Broadband	
  reach	
  and	
  3G	
  penetraCon	
  
are	
  key	
  drivers	
  
%	
  of	
  revenues	
  coming	
  from	
  top	
  10	
  ciCes	
  
Bottomline: Indian e-commerce will witness
a huge growth ~$70 bn by 2020
0.3	
   0.4	
   0.6	
  
1.6	
  
9	
  
2009	
   2010	
   2011	
   2012	
   2016	
   2020	
  
0	
  
5	
  
10	
  
15	
  
20	
  
INDIAN	
  E-­‐COMMERCE	
  MARKET	
  SIZE	
  ($	
  BN)	
  
Total	
  Market	
  Size	
  
55-­‐60%	
  CAGR	
  expected	
  5ll	
  2020	
  
Source:	
  Industry	
  reports,	
  Analyst	
  es<mates	
  
70	
  
Online	
  Home	
  &	
  Furniture	
  Retail	
  –	
  Why?	
  	
  
Furniture	
  
Jewellery	
  
Home	
  Furnishing	
  
Kitchen	
  
Health	
  Products	
  
Apparels	
  
Fashion	
  
Shoes	
  
Cosme5cs	
  
Books	
  
Electronics	
  
Computers	
  
Appliances	
  
Nascent	
  Categories	
  
Mature	
  Categories	
  
Furniture Retail is on its course of being the
next big category for e-commerce
Source:	
  Global	
  Webindex	
  
Early signs indicate a promising yet
untapped opportunity
362%	
  
119%	
  
100%	
  
98%	
  
90%	
  
76%	
  
75%	
  
13%	
  
3%	
  
3%	
  
2%	
  
2%	
  
10%	
  
15%	
  
0%	
  
100%	
  
200%	
  
300%	
  
400%	
  
0%	
  
5%	
  
10%	
  
15%	
  
20%	
  
GROWTH	
  ACROSS	
  CATEGORIES	
  IN	
  E-­‐COMMERCE	
  
YoY	
  Growth	
  %	
   Reach	
  %	
  
Source:	
  Report	
  –	
  State	
  of	
  e-­‐Commerce	
  in	
  India	
  
Internationally, furniture has already emerged
as next big trend in online shopping	
  
•  Home	
  products	
  are	
  50%+	
  
sales	
  
•  Turnover:	
  $150M	
  (2012E)	
  
•  Turnover:	
  $200M	
  (2012E)	
  	
  
•  100%	
  YoY	
  growth;	
  75%	
  
repeat	
  rate	
  
•  1B+	
  online	
  visitors	
  (Alexa	
  
Rank:	
  294;	
  Zappos:	
  737)	
  
•  25%	
  growth	
  in	
  online	
  sales	
  
•  Turnover:	
  $600M	
  (2012)	
   •  Turnover:	
  $150M	
  (2012E)	
  
Home	
  goods	
  market	
  in	
  U.S.	
  is	
  $500bn	
  and	
  6%	
  of	
  it	
  is	
  online	
  	
  
Source:	
  Press	
  release,	
  news	
  ar<cles	
  
Case in point –
11	
  Million	
  members	
  across	
  26	
  countries	
  
33%	
  
33%	
  sales	
  via	
  Mobile	
  device	
  
Purchase	
  Repeat	
  
66%	
  Repeat	
  purchases	
  by	
  members	
  
50%	
  sales	
  are	
  home	
  products	
  
In	
  18	
  Months	
  
15000	
  products	
  online	
  
15%	
  exclusive	
  	
  
90%	
  not	
  available	
  on	
  
other	
  major	
  websites	
  
66%	
  
Source:	
  Press	
  release,	
  news	
  ar<cles	
  
Online search volumes are also rising rapidly
Expected to follow trajectory of established categories
2007	
   2008	
   2009	
   2010	
   2011	
   2012	
   2013	
  
0	
  
25	
  
50	
  
75	
  
100	
  
ONLINE	
  SEARCH	
  FOR	
  ITEMS	
  IN	
  GOOGLE	
  
Shoes	
   Furniture	
   Wall	
  Clocks	
   Bed	
  Sheets	
  
2006	
   2007	
   2008	
   2009	
   2010	
   2011	
   2012	
   2013	
  
0	
  
25	
  
50	
  
75	
  
100	
  
Furniture	
  
2007	
   2008	
   2009	
   2010	
   2011	
   2012	
   2013	
  
0	
  
25	
  
50	
  
75	
  
100	
  
Bed	
  Sheets	
  
Source:	
  Google	
  Trends	
  
Even for e-tailers, Home and Furniture
provide a great business case
Higher	
  Margins	
  and	
  
Lot	
  of	
  Private	
  label	
  
50%	
  lower	
  returns	
  than	
  
industry	
  standards	
  for	
  other	
  
categories	
  
Purchase	
  Repeat	
  
2-­‐3x	
  basket	
  size	
  –	
  both	
  
number	
  of	
  items	
  &	
  Ccket	
  size	
  
Nascent	
  but	
  already	
  seeing	
  
repeats	
  at	
  15-­‐25%	
  
Flurry	
  of	
  e-­‐commerce	
  ventures	
  dealing	
  
in	
  Home	
  &	
  Furniture	
  over	
  last	
  year…	
  
…as	
  it	
  provides	
  a	
  great	
  business	
  opportunity	
  
compared	
  to	
  other	
  categories	
  
And there are significant advantages over
the traditional physical model too
Network reach
Operational hours
Range of products
Product launches
Product pricing
Basket size
Floor negotiations
Retail Investment
Sales force
Warehousing cost
After sales
Delivery timelines
Product assembly
Scale	
  &	
  Presence	
  Sales	
  
Investments	
  Service	
  levels	
  
Physical	
   Online	
   Physical	
   Online	
  
E-­‐com	
  catching	
  up	
  
through	
  local	
  presence	
  
Lastly, you can do so much more online…
Assortment + Depth
•  Why make a choice? Go wide and go deep
Be closer to customers
•  Get instant and accurate feedback on what customers want and what they perceive
Leverage market intelligence
•  Data/Analytics/Behaviour/Patterns everything is at disposal
Run pilots/exclusivity campaigns
•  ‘Will it work’? Push customers online by maintaining exclusive ranges
Trigger impulse buying?
Understanding	
  Customers	
  –	
  Who	
  are	
  they	
  and	
  what’s	
  in	
  it	
  for	
  them?	
  
51%	
  
0%	
  
10%	
  
30%	
  
26%	
  
14%	
  
9%	
  
5%	
  
7%	
  
49%	
  
0%	
  
11%	
  
26%	
  
23%	
  
14%	
  
9%	
  
6%	
  
10%	
  
Total	
  Customer	
  
Less	
  than	
  20	
  
20-­‐25	
  
25-­‐30	
  
30-­‐35	
  
35-­‐40	
  
40-­‐45	
  
45-­‐50	
  
More	
  than	
  50	
  
Female	
   Male	
  
25-35 years is the key age group for Home
However, gender split remains equal
Given	
  only	
  20%	
  online	
  shoppers	
  are	
  women,	
  the	
  category	
  has	
  a	
  significantly	
  higher	
  
penetra5on	
  among	
  women	
  
Source:	
  Industry	
  es<mates	
  
60% sales comes from top 10 cities
South is the largest region with a ~40% share
29%	
  
7%	
  
25%	
  
37%	
  
2%	
  
%	
  OF	
  SALES	
  FROM	
  DIFFERENT	
  REGIONS	
  
North	
   East	
   West	
   South	
   North-­‐East	
  
35%	
  of	
  all	
  sales	
  come	
  from	
  Metros;	
  	
  
60%	
  comes	
  from	
  	
  top	
  10	
  ciCes	
  
South	
  provides	
  the	
  largest	
  pla_orm	
  for	
  
online	
  sales	
  contribuCng	
  ~40%	
  of	
  sales	
  
35%	
  
25%	
  
40%	
  
Metros	
   Next	
  6	
  Ci5es	
   Rest	
  of	
  India	
  
%	
  OF	
  SALES	
  FROM	
  DIFFERENT	
  CITIES	
  
%	
  of	
  total	
  sales	
  
Source:	
  Industry	
  es<mates	
  
2,095	
  
1,549	
  
1,634	
  
1,825	
  
2,165	
  
2,278	
  
2,323	
  
2,412	
  
2,391	
  
2,748	
  
2,988	
  
1,675	
  
2,443	
  
2,591	
  
2,940	
  
3,482	
  
3,247	
  
3,418	
  
Total	
  Customer	
  
Less	
  than	
  20	
  
20-­‐25	
  
25-­‐30	
  
30-­‐35	
  
35-­‐40	
  
40-­‐45	
  
45-­‐50	
  
More	
  than	
  50	
  
Female	
   Male	
  
Basket	
  Size	
  
Men have a significantly higher basket size
than women across age groups
Source:	
  Industry	
  es<mates	
  
Repeat	
  Rate	
  
%	
  customers	
  making	
  next	
  purchase	
  
20%	
  
10%	
  
12%	
  
16%	
  
21%	
  
24%	
  
24%	
  
26%	
  
25%	
  
15%	
  
11%	
  
9%	
  
12%	
  
15%	
  
17%	
  
19%	
  
20%	
  
23%	
  
Total	
  Customer	
  
Less	
  than	
  20	
  
20-­‐25	
  
25-­‐30	
  
30-­‐35	
  
35-­‐40	
  
40-­‐45	
  
45-­‐50	
  
More	
  than	
  50	
  
Female	
  Male	
   Male	
  
However, women depict greater loyalty and
have higher repeat rates
Source:	
  Industry	
  es<mates	
  
Critical to address consumer sentiments
across the board to enable online purchase
Can	
  I	
  trust	
  the	
  website?	
  	
  
Will	
  I	
  receive	
  the	
  products	
  safely?	
  
Will	
  the	
  products	
  get	
  delivered	
  5mely?	
  
How	
  do	
  I	
  raise	
  my	
  queries/concerns?	
  
What	
  5me	
  of	
  the	
  day	
  can	
  I	
  make	
  the	
  purchase?	
  	
  
What	
  kind	
  of	
  payment	
  op5ons	
  are	
  available?	
  
Is	
  the	
  variety	
  of	
  products	
  sufficient?	
  
Are	
  the	
  products	
  different/unique?	
  
Is	
  the	
  overall	
  deal	
  aorac5ve?	
  
What	
  exactly	
  will	
  I	
  get?	
  
How	
  can	
  I	
  experience	
  the	
  products?	
  
How	
  will	
  the	
  products	
  get	
  assembled?	
  
	
  
Trust	
  and	
  Safety	
  
Added	
  convenience	
  
Value	
  proposiCon	
  DemysCfying	
  products	
  
1	
  
2	
   3	
  
4	
  
Can	
  I	
  trust	
  the	
  website?	
  
Will	
  I	
  receive	
  the	
  products	
  
safely?	
  
Will	
  I	
  receive	
  the	
  products	
  
Cmely?	
  
Guaranteed	
  Delivery	
  in	
  
8-­‐13	
  days	
  
Addressing consumer sentiments:
Trust and Safety
1	
  
What	
  exactly	
  will	
  I	
  get?	
  
How	
  do	
  I	
  experience	
  the	
  
product	
  –	
  Touch	
  &	
  Feel?	
  
How	
  will	
  the	
  products	
  get	
  
assembled?	
  
Addressing consumer sentiments:
Demystifying products
2	
  
Is	
  there	
  a	
  sufficient	
  variety	
  
across	
  categories?	
  
Are	
  the	
  products	
  different	
  or	
  
unique?	
  
Is	
  the	
  overall	
  deal	
  
asracCve?	
  
Foldable	
  	
  
Wall	
  Shelves	
  
350	
  
200	
  
75	
  50	
  50	
  50	
  
Living	
  Room	
  
Furniture	
  
Bed	
  Room	
  
Furniture	
  
Dinning	
  Furniture	
  
Outdoor	
  Furniture	
  
Bar	
  Furniture	
  
Workspace	
  
Furniture	
  
0	
   250	
   500	
  
#	
  of	
  SKUs	
  
Addressing consumer sentiments:
Value proposition
3	
  
LOVE	
  
Wall	
  Shelves	
  
How	
  do	
  I	
  raise	
  my	
  
queries/concerns?	
  
When	
  can	
  I	
  make	
  my	
  
purchases?	
  
What	
  kind	
  of	
  payment	
  
opCons	
  are	
  available?	
  
0%	
  
50%	
  
100%	
  
11	
  AM	
  -­‐	
  9	
  PM	
   9	
  PM	
  -­‐	
  11	
  AM	
  
%	
  OF	
  SALES	
  BY	
  HOUR	
  
33%	
  
Addressing consumer sentiments:
Added convenience
4	
  
ImplicaCons	
  –	
  What	
  do	
  brands/vendors	
  need	
  to	
  do?	
  	
  
•  Focus on online
•  Exclusive range
•  Invest into systems and processes
•  On time delivery
•  Be flexible – allow returns
A genuine focus is all it needs
Thank You

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eTailing India Jaipur Conclave- 2013 Mehul Agrawal- Furniture e-tailing – Why Furniture as a category will do great online?,Understanding Customers - Who are they and what’s in it for them?Implications – What do brands/vendors need to do?Implicatio

  • 1. -­‐  Mehul  Agrawal   Co-­‐founder  and  Managing  Director   Relevance of online platform for Furniture Industry
  • 2. AGENDA E-commerce - Why e-tailing? Furniture e-tailing – Why Furniture as a category will do great online? Understanding Customers - Who are they and what’s in it for them? Implications – What do brands/vendors need to do?
  • 3. Before we start – What do you think of online? Online is for discount mongers – cheap cheap cheap! •  60%+ sales without discounts •  Repeat purchases are significant – shows genuine interest Online is for urban population – hi-tech youngsters! •  40% sales outside top 10 cities; expected to rise to 60% Only low value products sell online •  Maximum basket size – 2.5 Lacs; 70-80% revenues from orders above Rs. 3,000 Online has excessive returns – loss making proposition •  <5% returns when managed properly, and doubles the conversions online
  • 4. E-­‐commerce  –  Why  e-­‐tailing?  
  • 5. Indian retail market is largely unorganized E-tailing is providing impetus to growth of organized segment However,  overall  share  of  e-­‐commerce  in  India  will  s5ll  be  miniscule  (~1%)  compared   to  US  (~9%)  and  China  (7-­‐8%)   3%   5%   12%   20%   2005   2010   2015   2020   0%   10%   20%   30%   Organized  as  a  %  of  Total  Retail   13-­‐15%   25-­‐30%   60%+   Overall  Retail   Organized  Segment   e-­‐Commerce   CAGR  OF  RETAIL   CAGR   >90%  market  sCll  unorganized  today   E-­‐commerce  is  expected  to  grow  5  Cmes   faster  than  overall  retail   Source:  Broker  Research  
  • 6. 29   36   46   60   80   137   190   273   376   3%   3%   4%   5%   7%   10%   15%   22%   30%   0   100   200   300   400   2007   2008   2009   2010   2011   2012   2013   2014   2015   0%   25%   50%   Unique  Users  (million)   Penetra5on  (%)   Increasing penetration of internet is fueling e-tailing growth 4   5   7   8   11   13   21   28   45   2007   2008   2009   2010   2011   2012   2013   2014   2015   0   25   50   Users  transac5ng  online  (million)   Exponen5al  growth  of  users  that  will  be  transac5ng  online   By  2015,  30%  of  Indian  populaCon  will  be   using  internet   10%  of  Internet  users  are  already  transacCng   online   Source:  Avendus  Es<mates  
  • 7. Consumers are also spending more time online to aid their purchase decisions 71%   64%   29%   24%   15%   9%   6%   3%   19%   10%   0%   20%   40%   60%   80%   Family   Friends   Online  product  reviews   Product  web  sites   Search  engines   Discussion  forums   Social  media  sites   Influen5al  bloggers   TV   News  sources   SOURCES  OF  RECOMMENDATIONS  FOR  PURCHASE   30   45   2011   2015   0   25   50   75   100   125   150   DAILY  AVERAGE  TIME  SPENT  ONLINE   Minutes  spent  online  (India)   USA   9%   13%   18%   33%   19%   8%   <5   5-­‐10   10-­‐15   15-­‐20   20-­‐30   >30   0%   15%   30%   45%   %  of  Purchase  Sessions   LENGTH  OF  A  PURCHASE  SESSION  (MINUTES)   Online  sources  are  aiding  purchase  decision   of  Indian  consumers…   …who  conCnue  to  spend  more  Cme  online,   sCll  behind  global  peers  though   Source:  Avendus  Es<mates   Source:  B2C  e-­‐Commerce  report  
  • 8. Diversified access ensures that next growth wave comes from smaller cities and towns 80%   60%   40%   2007   2012   2016   0%   25%   50%   75%   100%   %  of  total  customers   Online  players  are  gaining  increasing   business  from  smaller  ciCes  and  towns…   …as  the  pla_orm  provides  an  instant  vast   reach  compared  to  offline  organized  players   Source:  Avendus  Es<mates   IllustraCve  depicCon  of  reach  of  organized  players   Broadband  reach  and  3G  penetraCon   are  key  drivers   %  of  revenues  coming  from  top  10  ciCes  
  • 9. Bottomline: Indian e-commerce will witness a huge growth ~$70 bn by 2020 0.3   0.4   0.6   1.6   9   2009   2010   2011   2012   2016   2020   0   5   10   15   20   INDIAN  E-­‐COMMERCE  MARKET  SIZE  ($  BN)   Total  Market  Size   55-­‐60%  CAGR  expected  5ll  2020   Source:  Industry  reports,  Analyst  es<mates   70  
  • 10. Online  Home  &  Furniture  Retail  –  Why?    
  • 11. Furniture   Jewellery   Home  Furnishing   Kitchen   Health  Products   Apparels   Fashion   Shoes   Cosme5cs   Books   Electronics   Computers   Appliances   Nascent  Categories   Mature  Categories   Furniture Retail is on its course of being the next big category for e-commerce Source:  Global  Webindex  
  • 12. Early signs indicate a promising yet untapped opportunity 362%   119%   100%   98%   90%   76%   75%   13%   3%   3%   2%   2%   10%   15%   0%   100%   200%   300%   400%   0%   5%   10%   15%   20%   GROWTH  ACROSS  CATEGORIES  IN  E-­‐COMMERCE   YoY  Growth  %   Reach  %   Source:  Report  –  State  of  e-­‐Commerce  in  India  
  • 13. Internationally, furniture has already emerged as next big trend in online shopping   •  Home  products  are  50%+   sales   •  Turnover:  $150M  (2012E)   •  Turnover:  $200M  (2012E)     •  100%  YoY  growth;  75%   repeat  rate   •  1B+  online  visitors  (Alexa   Rank:  294;  Zappos:  737)   •  25%  growth  in  online  sales   •  Turnover:  $600M  (2012)   •  Turnover:  $150M  (2012E)   Home  goods  market  in  U.S.  is  $500bn  and  6%  of  it  is  online     Source:  Press  release,  news  ar<cles  
  • 14. Case in point – 11  Million  members  across  26  countries   33%   33%  sales  via  Mobile  device   Purchase  Repeat   66%  Repeat  purchases  by  members   50%  sales  are  home  products   In  18  Months   15000  products  online   15%  exclusive     90%  not  available  on   other  major  websites   66%   Source:  Press  release,  news  ar<cles  
  • 15. Online search volumes are also rising rapidly Expected to follow trajectory of established categories 2007   2008   2009   2010   2011   2012   2013   0   25   50   75   100   ONLINE  SEARCH  FOR  ITEMS  IN  GOOGLE   Shoes   Furniture   Wall  Clocks   Bed  Sheets   2006   2007   2008   2009   2010   2011   2012   2013   0   25   50   75   100   Furniture   2007   2008   2009   2010   2011   2012   2013   0   25   50   75   100   Bed  Sheets   Source:  Google  Trends  
  • 16. Even for e-tailers, Home and Furniture provide a great business case Higher  Margins  and   Lot  of  Private  label   50%  lower  returns  than   industry  standards  for  other   categories   Purchase  Repeat   2-­‐3x  basket  size  –  both   number  of  items  &  Ccket  size   Nascent  but  already  seeing   repeats  at  15-­‐25%   Flurry  of  e-­‐commerce  ventures  dealing   in  Home  &  Furniture  over  last  year…   …as  it  provides  a  great  business  opportunity   compared  to  other  categories  
  • 17. And there are significant advantages over the traditional physical model too Network reach Operational hours Range of products Product launches Product pricing Basket size Floor negotiations Retail Investment Sales force Warehousing cost After sales Delivery timelines Product assembly Scale  &  Presence  Sales   Investments  Service  levels   Physical   Online   Physical   Online   E-­‐com  catching  up   through  local  presence  
  • 18. Lastly, you can do so much more online… Assortment + Depth •  Why make a choice? Go wide and go deep Be closer to customers •  Get instant and accurate feedback on what customers want and what they perceive Leverage market intelligence •  Data/Analytics/Behaviour/Patterns everything is at disposal Run pilots/exclusivity campaigns •  ‘Will it work’? Push customers online by maintaining exclusive ranges Trigger impulse buying?
  • 19. Understanding  Customers  –  Who  are  they  and  what’s  in  it  for  them?  
  • 20. 51%   0%   10%   30%   26%   14%   9%   5%   7%   49%   0%   11%   26%   23%   14%   9%   6%   10%   Total  Customer   Less  than  20   20-­‐25   25-­‐30   30-­‐35   35-­‐40   40-­‐45   45-­‐50   More  than  50   Female   Male   25-35 years is the key age group for Home However, gender split remains equal Given  only  20%  online  shoppers  are  women,  the  category  has  a  significantly  higher   penetra5on  among  women   Source:  Industry  es<mates  
  • 21. 60% sales comes from top 10 cities South is the largest region with a ~40% share 29%   7%   25%   37%   2%   %  OF  SALES  FROM  DIFFERENT  REGIONS   North   East   West   South   North-­‐East   35%  of  all  sales  come  from  Metros;     60%  comes  from    top  10  ciCes   South  provides  the  largest  pla_orm  for   online  sales  contribuCng  ~40%  of  sales   35%   25%   40%   Metros   Next  6  Ci5es   Rest  of  India   %  OF  SALES  FROM  DIFFERENT  CITIES   %  of  total  sales   Source:  Industry  es<mates  
  • 22. 2,095   1,549   1,634   1,825   2,165   2,278   2,323   2,412   2,391   2,748   2,988   1,675   2,443   2,591   2,940   3,482   3,247   3,418   Total  Customer   Less  than  20   20-­‐25   25-­‐30   30-­‐35   35-­‐40   40-­‐45   45-­‐50   More  than  50   Female   Male   Basket  Size   Men have a significantly higher basket size than women across age groups Source:  Industry  es<mates  
  • 23. Repeat  Rate   %  customers  making  next  purchase   20%   10%   12%   16%   21%   24%   24%   26%   25%   15%   11%   9%   12%   15%   17%   19%   20%   23%   Total  Customer   Less  than  20   20-­‐25   25-­‐30   30-­‐35   35-­‐40   40-­‐45   45-­‐50   More  than  50   Female  Male   Male   However, women depict greater loyalty and have higher repeat rates Source:  Industry  es<mates  
  • 24. Critical to address consumer sentiments across the board to enable online purchase Can  I  trust  the  website?     Will  I  receive  the  products  safely?   Will  the  products  get  delivered  5mely?   How  do  I  raise  my  queries/concerns?   What  5me  of  the  day  can  I  make  the  purchase?     What  kind  of  payment  op5ons  are  available?   Is  the  variety  of  products  sufficient?   Are  the  products  different/unique?   Is  the  overall  deal  aorac5ve?   What  exactly  will  I  get?   How  can  I  experience  the  products?   How  will  the  products  get  assembled?     Trust  and  Safety   Added  convenience   Value  proposiCon  DemysCfying  products   1   2   3   4  
  • 25. Can  I  trust  the  website?   Will  I  receive  the  products   safely?   Will  I  receive  the  products   Cmely?   Guaranteed  Delivery  in   8-­‐13  days   Addressing consumer sentiments: Trust and Safety 1  
  • 26. What  exactly  will  I  get?   How  do  I  experience  the   product  –  Touch  &  Feel?   How  will  the  products  get   assembled?   Addressing consumer sentiments: Demystifying products 2  
  • 27. Is  there  a  sufficient  variety   across  categories?   Are  the  products  different  or   unique?   Is  the  overall  deal   asracCve?   Foldable     Wall  Shelves   350   200   75  50  50  50   Living  Room   Furniture   Bed  Room   Furniture   Dinning  Furniture   Outdoor  Furniture   Bar  Furniture   Workspace   Furniture   0   250   500   #  of  SKUs   Addressing consumer sentiments: Value proposition 3   LOVE   Wall  Shelves  
  • 28. How  do  I  raise  my   queries/concerns?   When  can  I  make  my   purchases?   What  kind  of  payment   opCons  are  available?   0%   50%   100%   11  AM  -­‐  9  PM   9  PM  -­‐  11  AM   %  OF  SALES  BY  HOUR   33%   Addressing consumer sentiments: Added convenience 4  
  • 29. ImplicaCons  –  What  do  brands/vendors  need  to  do?    
  • 30. •  Focus on online •  Exclusive range •  Invest into systems and processes •  On time delivery •  Be flexible – allow returns A genuine focus is all it needs