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8/20/2019 Online purchase preference of youngsters
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Online Purchase preference of
youngsters: Mobile or Desktop The truth about M Commerce
Team 7 :
Akshaya M (14AC01)
AkshayaChandrasekaran(14AC02)Harish V(14AC13)Kovendan KP(14AC1)!andini "(14AC22)
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The rise of the SMART PHONE
• "mar# Phones are mo$i%e &hones 'i#h an &era#in "ys#em or "* They +ome 'i#h addi#iona% ,ea#-res s-+h as +amera and media&%ayer*
• The %as# . years have seen &henomena% ro'#h o, #his ind-s#ry/ a%%
over #he 'or%d*
• n ndia/ #hey have +a-sed a maor +hane in #he %i,es#y%e o,yo-ns#ers*
200200201020122014201
No.of smart phone users
!o*o, smar#&hone -sers
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Indian Market - Today
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The Internet
•
"mar# &hones oer easy a++ess #o #he in#erne# #hro-h#heir servi+e &roviders/ +on#ri$-#in #o #he ro'#h o,in#erne# -sers in #he +o-n#ry*
• .0 o, in#erne# -sers in ndia are mo$i%e on%y5 +om&ared#o 2052. in deve%o&ed +o-n#ries*
6-ne12 6-ne13 +#13 8e+13 Mar14(9s#) 6-ne14(9s#)0
20
40
0
0
100
120
140
10
10
200 Mobile Internet Users
Mo$i%e n#erne# sers
1;
21
20
;0
1
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E- Commerce
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M Commerce The ease o, a++ess o, #he in#erne# in mo$i%e &hones has iven rise #
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E – Traffic
=1 2012 =2 2012 =3 2012 =4 2012 =1 2013
0*00
2*00
4*00
*00
*00
10*00
12*00
Share of e-commerce Trac From Smartphone(% share)
"mar#&hone
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Primary Data Collection
>andom da#a amon s#-den#s and &ro,essiona%s $e#'een #he ae o, 2
More #han . o, #heres&onden#s 'ere s#-den#s*
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Cross Tabulation between the no. of visits and the no.of purchases in a month
>es&onden#s 'ereasked ho' o,#en #heyvisi# an on%ine s#ore in amon#h*
They 'ere #hen asked#o ive #he n-m$er o,&-r+hases #hey made#his mon#h*
14 o, #he &eo&%e 'hovisi#ed did no# makeany &-r+hases*
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Gadget Preference
?hi%e #he &re,eren+e ,or visi#in an on%ine si#e is a%mos# e@-a%$e#'een #he desk#o& and smar# &hone/ a%mos# 7 o, #he&eo&%e &re,er a desk#o& ,or a &-r+hase*
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No. of Purchases
1 #o .
10 #o 1.
. #o 10
More #han 1.
The mos# &-r+haseshave $een made $y
&eo&%e 'ho have visi#ed%eas# o,#en*
There is a des+endin&a##ern $e#'een #he
visi#s and no* o,&-r+hases
Inferences
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• 7. o, #he &eo&%e'ho visi# #he si#e 15.#imes a mon#h &re,er a%ao& desk#o& ,or&-r+hase*
• i*e* The &eo&%e 'homake #he mos#&-r+hases &re,erdesk#o&s*
•
A%so/.. o, #he&eo&%e 'ho visi# more#han 1. #imes &re,er adesk#o& ,or &-r+hase*
Inferences
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Inferences
.7 o, #he &eo&%e &re,er a desk#o& d-e #o Com,or#ness*
Ba+#ors in-en+in #he &re,eren+e o, 8esk#o& over Mo$i%e&hones
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Finding
TH9 T>TH AC9
Tho-h #raD+ ,rom mo$i%e devi+es seems #o$e in+reasin s#eadi%y/ mos# o, i# is ,rominde+isive $ro'sers*
A+#-a% &-r+hases remain %o' and mos# &eo&%e'ho visi# 95+ommer+e si#es -sin mo$i%es/
&re,er #heir desk#o&s ,or a &-r+hase*
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Mobile Conversion Rates among variousindustries
0
0*01
0*01
0*02
0*02
0*03
"mar# Phone Conversion >a#e
-r &rimary da#a +oin+ides 'i#h #he res-%#s o$#ained d-rin o#hers-rveys* Mo$i%es have a very %o' +onversion ra#e*
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Thank yo-