SlideShare a Scribd company logo
1 of 27
Download to read offline
D
insight
AT
A
Russian E-commerce
in the middle of 2015
Data Insight
EDAYS June 05
D
insight
AT
A
Market volume
D
insight
AT
A
E-commerce audience
Number of online shoppers* 25 mln
(1/3 of Internet audience)
* Online shoppers – those who made in last 12 months at least 1 purchase of physical
goods in Russian or foreign online store
26%
7%
43%
24%
Russian population, 18-64
∑ 97 mln
online shoppers
has experience of online
shopping in the past
has no experience of
online shopping
don't use Internet
D
insight
AT
A
Number of online orders
25,4 mln of online shoppers
х
7,7 online orders a year per shopper (in average)
=
195 mln of online orders
made by Russians in 2014
(148 mln – domestic, 47 млн. – crossborder)
NB! One order may include multiple orders
D
insight
AT
A
AOV and market volume
195 mln orders
х
average order value
3300 rubles (~$85 by 2014 rate)
=
645 bln rubles of online sales*
* Estimate doesn’t include (a) food delivery, (b) airplane and train tickets, (c) digital
goods, (d) C2C, MLM and group shopping, (e) purchases for corporate consumption or
D
insight
AT
A
Market dynamics
D
insight
AT
A
Market tripled in 4 years
Online B2C sales of physical goods by Russian online stores
180
235
315
415
560
0
100
200
300
400
500
600
2010 2011 2012 2013 2014
Domestic online sales, bn rubles
D
insight
AT
A
Growth rates year by year
0%
10%
20%
30%
40%
0
100
200
300
400
500
600
2010 2011 2012 2013 2014
Market size, bn rub Nominal growth
Inflation growth Real growth
D
insight
AT
A
2014 results: number interpretation
Nominal growth: +35% (best result since 2010)
Thought ~1/2 of this growth came from inflation-defined
increase of ruble AOV (dollar AOV declined)
Number of orders grew only 18% (worse result since
measurement began)
Without consumer panic in the end of 2014 the growth
would be only +9% by orders and +17% by rubles
D
insight
AT
A
2015: first 5 months
January and February – still high sales, as prices for goods
imported before ruble depreciation were still attractive
Every next month growth rates become lower – with May
2015 2% below May 2014 by number of orders
Beneficiaries of 2014 December rush – retailers of
electronics – shows dynamics below other segments
Meanwhile, all ecommerce segments feel better
than offline retail
D
insight
AT
A
Disappearing growth
-5%
0%
5%
10%
15%
20%
25%
30%
35%
40%
2014 - Q12014 - Q22014 - Q32014 - Q42015 - Q12015 - Q2
Online sales
growth y-o-y
(N of orders, domestic
segment only)
D
insight
AT
A
Insights about
online shoppers
D
insight
AT
A
Large research project
We conducted complex research of online shopping and
shoppers in Russia – to build ‘data matrix’ on different
aspects of the market
Joint project by:
research agency Data Insight
CMS-platform InSales
Payment service provider PayU
The research is based on the program of
customers surveys
D
insight
AT
A
Methodology of the research
928 Internet users
(18-64 yo)
Share of online shoppers
Profile of online shoppers
Frequency of online purchases
E-commerce experience in years
3472 онлайн-
покупателя (18-64)
Details on last and previous
purchases
Choice criteria
Expectations
etc.
offline
survey
online
survey
Representative data on
consumer behavior.
More than 400 variables.
Sample error ±1.7%
October –
November
of 2014
D
insight
AT
A
How consumers choose
D
insight
AT
A
Why bought online, and not offline
48%
33%
31%
25%
25%
21%
16%
11%
9%
9%
6%
3%
online price was lower than in regular stores
it's easier and more convenient to choose and compare goods online
it's convenient to look online for place with best price
more convenient to order online than to go to regular store
convenient to buy right with delivery to home
there is no such goods in regular stores of my city/town
there are more information online about goods
no time/opportunity to go to regular stores
don’t know where it's possible to buy this product offline
don’t like to visit shops
used to oder almost everything online
other
Key: price, convenience, convenience …
D
insight
AT
A
Purchase models
30%
10%
58%
other
2% hadn't knew in advance what will buy,
and choose the product while visiting
online stores
bought some other items in addition
to product, that had decided to buy in
advance
had knew in advance what will buy
40% of online orders are fully or partially spontaneous
or at least not “predetermined”
Which statement is the most accurate for your recent online
purchase?
D
insight
AT
A
Choice of place to buy
44%
4%
25%
27%
knew in advance where will buy
hadn’t plan the purchase - retailer
recommend/offer the product
knew in advance few retailers to choose
between
hadn't knew where to buy - looked for
place with best conditions
The place of purchase is “predetermined” for half of
orders
area of
competition
loyal
purchase
D
insight
AT
A
Scenario A: loyal purchases
49%
25%
12%
10%
7%
7%
2%
3%
2%
When you made your most recent online purchase, why
you came to this specific online store?
made purchases in this online store before
recommended by relatives or friends
well-known retailer name
read online about special offer from the retailer
clicked on the ad
responded to the offer received via e-mail or SMS
responded to offline ads
other
don’t remember, hard to say
% of those, who answered that knew in
advance where to buy or that the retailer
offered itself the purchase
D
insight
AT
A
Scenario B: choice between retailers
47%
15%
14%
13%
13%
9%
6%
5%
5%
5%
2%
How you choose the online store, where you made your most recent
purchase?
via online search
compared prices and conditions in few online stores (they knew before)
by recommendation of relatives or friends
choose the place where made purchase before
via Yandex.Market
on base of reviews available online
choose the shop that is well known
via other (beside Yandex.Market) comparison sites
on base of online ad or email promotion
on base of ads in search results
on base of offline ads
% of those, who answered that choose
between few or many online stores
D
insight
AT
A
What is good online store?
39%
37%
32%
28%
26%
quality products descriptions
availability of product reviews
availability of detailed and clear info on delivery conditions
availability of different payment options
convenient structure of products catalogue
Among listed, what is the most important for online store?
What is necessary to form your opinion that this is convenient
website and good online store? (top 5 answers)
D
insight
AT
A
Delivery and payments
D
insight
AT
A
28%
41%
20%
2%
6%
1%
36%
26% 24%
2%
7%
1%
courierdelivery
RussianPost
collectionpointof
onlinestore
collectionpointof
logisticcompany
in-storepickup
postterminals
all orders
domestic orders
Delivery methods
D
insight
AT
A
52%
6%
25%
10%
8%
How the recent purchase was paid
cash on delivery
card on delivery
online payment by card
online payment via e-money system
other / hard to say
Payment methods
D
insight
AT
A
52%
6%
25%
10%
7%
66%
8%
14%
6% 6%
cashondelivery
cardondelivery
onlinepaymentbycard
onlinepaymentsviae-
moneysystem
other
all orders domestic orders
Payment methods
Estimate of online payments share highly
depends on inclusion/exclusion of
cross-border sales into statistics
D
insight
AT
A
84%
5%
4%
4%
0,3%
2%
1%
only desktop / laptop
only tablet
only smartphone
both smartphone and desktop/laptop
both smartphone and tablet
both tablet and desktop/laptop
all three devices
mCommerce is coming
Mobile devices are
used (at least at some
stage) in every sixth
online order of
physical goods
*материальных
товаров
Which devices did you use while choosing product and seller and making the
order itself?
D
insight
AT
A
First agency in Russia, that is fully focused
on research and consultancy in digital economy
To know more:
a@datainsight.ru +7 495 5405906
www.slideshare.net/Data_Insight
www.facebook.com/DataInsight
www.datainsight.ru
What is Data Insight?

More Related Content

Viewers also liked

MTCode2016-Junior-_holdthedoor-GOVA
MTCode2016-Junior-_holdthedoor-GOVAMTCode2016-Junior-_holdthedoor-GOVA
MTCode2016-Junior-_holdthedoor-GOVA
Alexander Samarenko
 

Viewers also liked (11)

MTCode2016-Junior-_holdthedoor-GOVA
MTCode2016-Junior-_holdthedoor-GOVAMTCode2016-Junior-_holdthedoor-GOVA
MTCode2016-Junior-_holdthedoor-GOVA
 
Прайсремонт
ПрайсремонтПрайсремонт
Прайсремонт
 
Ремонт по плану
Ремонт по плануРемонт по плану
Ремонт по плану
 
FINAL
FINALFINAL
FINAL
 
SEMIFINAL
SEMIFINALSEMIFINAL
SEMIFINAL
 
Новое поколение DIY дискаунтеров. New generation of DIY discounters in retail
Новое поколение DIY дискаунтеров. New generation of DIY discounters in retailНовое поколение DIY дискаунтеров. New generation of DIY discounters in retail
Новое поколение DIY дискаунтеров. New generation of DIY discounters in retail
 
Леруа Мерлен
Леруа МерленЛеруа Мерлен
Леруа Мерлен
 
Leroy Merlin oct_2016
Leroy Merlin oct_2016Leroy Merlin oct_2016
Leroy Merlin oct_2016
 
Vkusnogram
VkusnogramVkusnogram
Vkusnogram
 
Leroy Merlin
Leroy MerlinLeroy Merlin
Leroy Merlin
 
Changellenge | Cup Kazakhstan 2016 | Leroy Merlin case | 1st place
Changellenge | Cup Kazakhstan 2016 | Leroy Merlin case | 1st placeChangellenge | Cup Kazakhstan 2016 | Leroy Merlin case | 1st place
Changellenge | Cup Kazakhstan 2016 | Leroy Merlin case | 1st place
 

More from East-West Digital News

More from East-West Digital News (20)

China-to-Russia e-commerce: Key facts and figures, by Adrien Henni (EWDN)
China-to-Russia e-commerce: Key facts and figures, by Adrien Henni (EWDN)China-to-Russia e-commerce: Key facts and figures, by Adrien Henni (EWDN)
China-to-Russia e-commerce: Key facts and figures, by Adrien Henni (EWDN)
 
Event book of The China-Russian E-Commerce Summit
Event book of The China-Russian E-Commerce SummitEvent book of The China-Russian E-Commerce Summit
Event book of The China-Russian E-Commerce Summit
 
B2C logistics management (Delivia)
B2C logistics management (Delivia) B2C logistics management (Delivia)
B2C logistics management (Delivia)
 
E-commerce delivery methods, by Edvin Lukanov (Qiwi)
E-commerce delivery methods, by Edvin Lukanov (Qiwi) E-commerce delivery methods, by Edvin Lukanov (Qiwi)
E-commerce delivery methods, by Edvin Lukanov (Qiwi)
 
Tools to increase conversion, by Nadezhda Romanova (PickPoint)
Tools to increase conversion, by Nadezhda Romanova (PickPoint) Tools to increase conversion, by Nadezhda Romanova (PickPoint)
Tools to increase conversion, by Nadezhda Romanova (PickPoint)
 
CDEK in China, by Sergey Egorov (CDEK)
CDEK in China, by Sergey Egorov (CDEK)CDEK in China, by Sergey Egorov (CDEK)
CDEK in China, by Sergey Egorov (CDEK)
 
Russian e-shoppers' preferences and Chinese challenges (IML)
Russian e-shoppers' preferences and Chinese challenges (IML)Russian e-shoppers' preferences and Chinese challenges (IML)
Russian e-shoppers' preferences and Chinese challenges (IML)
 
Cross-border e-commerce according to Russian Post
Cross-border e-commerce according to Russian PostCross-border e-commerce according to Russian Post
Cross-border e-commerce according to Russian Post
 
Mobile acquiring data by Life Pay
Mobile acquiring data by Life Pay Mobile acquiring data by Life Pay
Mobile acquiring data by Life Pay
 
Online marketplaces in Russia, by Alexey Petrovsky (Price.ru)
Online marketplaces in Russia, by Alexey Petrovsky (Price.ru) Online marketplaces in Russia, by Alexey Petrovsky (Price.ru)
Online marketplaces in Russia, by Alexey Petrovsky (Price.ru)
 
About Obuv Rossii’s online activity, by Irina Poddubnaya (Obuv Rossii)
About Obuv Rossii’s online activity, by Irina Poddubnaya (Obuv Rossii) About Obuv Rossii’s online activity, by Irina Poddubnaya (Obuv Rossii)
About Obuv Rossii’s online activity, by Irina Poddubnaya (Obuv Rossii)
 
How to deal with the Chinese, by Marx Chzhan (Rufavor)
How to deal with the Chinese, by Marx Chzhan (Rufavor) How to deal with the Chinese, by Marx Chzhan (Rufavor)
How to deal with the Chinese, by Marx Chzhan (Rufavor)
 
B2B e-commerce, by Ekaterina Ilvovskaya (B2B-Center.ru)
B2B e-commerce, by Ekaterina Ilvovskaya (B2B-Center.ru) B2B e-commerce, by Ekaterina Ilvovskaya (B2B-Center.ru)
B2B e-commerce, by Ekaterina Ilvovskaya (B2B-Center.ru)
 
Fedorov 220volt
Fedorov 220voltFedorov 220volt
Fedorov 220volt
 
JD com
JD comJD com
JD com
 
JD com
JD comJD com
JD com
 
China, the new driving force of the Russian e-commerce - Henni Adrien EWDN
China, the new driving force of the Russian e-commerce - Henni Adrien EWDNChina, the new driving force of the Russian e-commerce - Henni Adrien EWDN
China, the new driving force of the Russian e-commerce - Henni Adrien EWDN
 
E-commerce DIY and Fashion 2015
E-commerce DIY and Fashion 2015E-commerce DIY and Fashion 2015
E-commerce DIY and Fashion 2015
 
Ilja Eisen - Latest online marketing trends and challenges in the Russian market
Ilja Eisen - Latest online marketing trends and challenges in the Russian marketIlja Eisen - Latest online marketing trends and challenges in the Russian market
Ilja Eisen - Latest online marketing trends and challenges in the Russian market
 
Fedor Virin Интернет-торговля 2015: сегменты DIY & Fashion
Fedor Virin  Интернет-торговля 2015: сегменты DIY & FashionFedor Virin  Интернет-торговля 2015: сегменты DIY & Fashion
Fedor Virin Интернет-торговля 2015: сегменты DIY & Fashion
 

Recently uploaded

call Now 9811711561 Cash Payment乂 Call Girls in Dwarka
call Now 9811711561 Cash Payment乂 Call Girls in Dwarkacall Now 9811711561 Cash Payment乂 Call Girls in Dwarka
call Now 9811711561 Cash Payment乂 Call Girls in Dwarka
vikas rana
 
Indian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call Girl
Indian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call GirlIndian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call Girl
Indian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call Girl
AroojKhan71
 

Recently uploaded (8)

Planting Seeds of Success and of Failure.pdf
Planting Seeds of Success and of Failure.pdfPlanting Seeds of Success and of Failure.pdf
Planting Seeds of Success and of Failure.pdf
 
call Now 9811711561 Cash Payment乂 Call Girls in Dwarka
call Now 9811711561 Cash Payment乂 Call Girls in Dwarkacall Now 9811711561 Cash Payment乂 Call Girls in Dwarka
call Now 9811711561 Cash Payment乂 Call Girls in Dwarka
 
Top Rated Pune Call Girls Talegaon Dabhade ⟟ 6297143586 ⟟ Call Me For Genuin...
Top Rated  Pune Call Girls Talegaon Dabhade ⟟ 6297143586 ⟟ Call Me For Genuin...Top Rated  Pune Call Girls Talegaon Dabhade ⟟ 6297143586 ⟟ Call Me For Genuin...
Top Rated Pune Call Girls Talegaon Dabhade ⟟ 6297143586 ⟟ Call Me For Genuin...
 
Indian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call Girl
Indian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call GirlIndian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call Girl
Indian Call Girl In Dubai #$# O5634O3O18 #$# Dubai Call Girl
 
Call Girls In Dev kunj Delhi 9654467111 Short 1500 Night 6000
Call Girls In Dev kunj Delhi 9654467111 Short 1500 Night 6000Call Girls In Dev kunj Delhi 9654467111 Short 1500 Night 6000
Call Girls In Dev kunj Delhi 9654467111 Short 1500 Night 6000
 
Film= Dubai Call Girls O525547819 Call Girls Dubai Whsatapp
Film= Dubai Call Girls O525547819 Call Girls Dubai WhsatappFilm= Dubai Call Girls O525547819 Call Girls Dubai Whsatapp
Film= Dubai Call Girls O525547819 Call Girls Dubai Whsatapp
 
The 15 Minute Breakdown: 2024 Beauty Marketing Study
The 15 Minute Breakdown: 2024 Beauty Marketing StudyThe 15 Minute Breakdown: 2024 Beauty Marketing Study
The 15 Minute Breakdown: 2024 Beauty Marketing Study
 
Digital Business Strategy - How Food Brands Compete Through Technology
Digital Business Strategy - How Food Brands Compete Through TechnologyDigital Business Strategy - How Food Brands Compete Through Technology
Digital Business Strategy - How Food Brands Compete Through Technology
 

Russian E-commerce in middle of 2015

  • 1. D insight AT A Russian E-commerce in the middle of 2015 Data Insight EDAYS June 05
  • 3. D insight AT A E-commerce audience Number of online shoppers* 25 mln (1/3 of Internet audience) * Online shoppers – those who made in last 12 months at least 1 purchase of physical goods in Russian or foreign online store 26% 7% 43% 24% Russian population, 18-64 ∑ 97 mln online shoppers has experience of online shopping in the past has no experience of online shopping don't use Internet
  • 4. D insight AT A Number of online orders 25,4 mln of online shoppers х 7,7 online orders a year per shopper (in average) = 195 mln of online orders made by Russians in 2014 (148 mln – domestic, 47 млн. – crossborder) NB! One order may include multiple orders
  • 5. D insight AT A AOV and market volume 195 mln orders х average order value 3300 rubles (~$85 by 2014 rate) = 645 bln rubles of online sales* * Estimate doesn’t include (a) food delivery, (b) airplane and train tickets, (c) digital goods, (d) C2C, MLM and group shopping, (e) purchases for corporate consumption or
  • 7. D insight AT A Market tripled in 4 years Online B2C sales of physical goods by Russian online stores 180 235 315 415 560 0 100 200 300 400 500 600 2010 2011 2012 2013 2014 Domestic online sales, bn rubles
  • 8. D insight AT A Growth rates year by year 0% 10% 20% 30% 40% 0 100 200 300 400 500 600 2010 2011 2012 2013 2014 Market size, bn rub Nominal growth Inflation growth Real growth
  • 9. D insight AT A 2014 results: number interpretation Nominal growth: +35% (best result since 2010) Thought ~1/2 of this growth came from inflation-defined increase of ruble AOV (dollar AOV declined) Number of orders grew only 18% (worse result since measurement began) Without consumer panic in the end of 2014 the growth would be only +9% by orders and +17% by rubles
  • 10. D insight AT A 2015: first 5 months January and February – still high sales, as prices for goods imported before ruble depreciation were still attractive Every next month growth rates become lower – with May 2015 2% below May 2014 by number of orders Beneficiaries of 2014 December rush – retailers of electronics – shows dynamics below other segments Meanwhile, all ecommerce segments feel better than offline retail
  • 11. D insight AT A Disappearing growth -5% 0% 5% 10% 15% 20% 25% 30% 35% 40% 2014 - Q12014 - Q22014 - Q32014 - Q42015 - Q12015 - Q2 Online sales growth y-o-y (N of orders, domestic segment only)
  • 13. D insight AT A Large research project We conducted complex research of online shopping and shoppers in Russia – to build ‘data matrix’ on different aspects of the market Joint project by: research agency Data Insight CMS-platform InSales Payment service provider PayU The research is based on the program of customers surveys
  • 14. D insight AT A Methodology of the research 928 Internet users (18-64 yo) Share of online shoppers Profile of online shoppers Frequency of online purchases E-commerce experience in years 3472 онлайн- покупателя (18-64) Details on last and previous purchases Choice criteria Expectations etc. offline survey online survey Representative data on consumer behavior. More than 400 variables. Sample error ±1.7% October – November of 2014
  • 16. D insight AT A Why bought online, and not offline 48% 33% 31% 25% 25% 21% 16% 11% 9% 9% 6% 3% online price was lower than in regular stores it's easier and more convenient to choose and compare goods online it's convenient to look online for place with best price more convenient to order online than to go to regular store convenient to buy right with delivery to home there is no such goods in regular stores of my city/town there are more information online about goods no time/opportunity to go to regular stores don’t know where it's possible to buy this product offline don’t like to visit shops used to oder almost everything online other Key: price, convenience, convenience …
  • 17. D insight AT A Purchase models 30% 10% 58% other 2% hadn't knew in advance what will buy, and choose the product while visiting online stores bought some other items in addition to product, that had decided to buy in advance had knew in advance what will buy 40% of online orders are fully or partially spontaneous or at least not “predetermined” Which statement is the most accurate for your recent online purchase?
  • 18. D insight AT A Choice of place to buy 44% 4% 25% 27% knew in advance where will buy hadn’t plan the purchase - retailer recommend/offer the product knew in advance few retailers to choose between hadn't knew where to buy - looked for place with best conditions The place of purchase is “predetermined” for half of orders area of competition loyal purchase
  • 19. D insight AT A Scenario A: loyal purchases 49% 25% 12% 10% 7% 7% 2% 3% 2% When you made your most recent online purchase, why you came to this specific online store? made purchases in this online store before recommended by relatives or friends well-known retailer name read online about special offer from the retailer clicked on the ad responded to the offer received via e-mail or SMS responded to offline ads other don’t remember, hard to say % of those, who answered that knew in advance where to buy or that the retailer offered itself the purchase
  • 20. D insight AT A Scenario B: choice between retailers 47% 15% 14% 13% 13% 9% 6% 5% 5% 5% 2% How you choose the online store, where you made your most recent purchase? via online search compared prices and conditions in few online stores (they knew before) by recommendation of relatives or friends choose the place where made purchase before via Yandex.Market on base of reviews available online choose the shop that is well known via other (beside Yandex.Market) comparison sites on base of online ad or email promotion on base of ads in search results on base of offline ads % of those, who answered that choose between few or many online stores
  • 21. D insight AT A What is good online store? 39% 37% 32% 28% 26% quality products descriptions availability of product reviews availability of detailed and clear info on delivery conditions availability of different payment options convenient structure of products catalogue Among listed, what is the most important for online store? What is necessary to form your opinion that this is convenient website and good online store? (top 5 answers)
  • 24. D insight AT A 52% 6% 25% 10% 8% How the recent purchase was paid cash on delivery card on delivery online payment by card online payment via e-money system other / hard to say Payment methods
  • 25. D insight AT A 52% 6% 25% 10% 7% 66% 8% 14% 6% 6% cashondelivery cardondelivery onlinepaymentbycard onlinepaymentsviae- moneysystem other all orders domestic orders Payment methods Estimate of online payments share highly depends on inclusion/exclusion of cross-border sales into statistics
  • 26. D insight AT A 84% 5% 4% 4% 0,3% 2% 1% only desktop / laptop only tablet only smartphone both smartphone and desktop/laptop both smartphone and tablet both tablet and desktop/laptop all three devices mCommerce is coming Mobile devices are used (at least at some stage) in every sixth online order of physical goods *материальных товаров Which devices did you use while choosing product and seller and making the order itself?
  • 27. D insight AT A First agency in Russia, that is fully focused on research and consultancy in digital economy To know more: a@datainsight.ru +7 495 5405906 www.slideshare.net/Data_Insight www.facebook.com/DataInsight www.datainsight.ru What is Data Insight?