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Digital insights for
e-commerce
industry in Serbia

 How to improve usabiliity of
 e-commerce services &
 virtual merchandising

Marta Klepka

Gemius SA

E-trgovina, Palič, 26.04.2012
About us

 •   a global company and the no. 1 choice in EMEA, provides consultancy and
     expertise on consumer behaviour in the digital world
 •   ‘one stop shop’ for everyone who needs to measure a website, plan and deliver
     effective online campaigns or use the internet as a communication channel




                                                                                     2
Gemius as the currency in online measurement


     JIC Standard: Poland, Czech
     Republic, Slovakia, Hungary,
     Slovenia, Turkey, Israel,
     Denmark, Ukraine, Belarus,
     Moldova

     De facto currency: Lithuania,
                   ,
     Latvia, Estonia, Bulgaria, Bosnia,
     Croatia

     Start-up: Russia, Serbia, MENA
     (UAE, KSI, Egypt, Lebanon,
     Jordan, Syria, Kuwait, Morocco,
     Tunisia)




                                               3
The story is…

• The profile of e-shopper in Serbia and Croatia
• Loyal customers
• Improving ROI thanks to targeting and more
  effective promotion
• The key to virtual merchandising
OK, so who is shopping online in Serbia?
How many internet users shop online?
The percentage of internet users who shop via internet increased significantly over the
years in Croatia. That gives Serbia hope for the brighter future
                                                                                Croatia 2008
    Serbia 2012
                                                                                                                   do not shop
                             do not shop
                                                                              27,69%
  41,57%

                58,43%
                             shop                                                               67,14%             shop



                                                                 Croatia 2012
    Situation on Serbian                                                                            do not shop
    market looks quite
    optimistic
                                                             45,00%
                                                                                  50,62%
    Percentage of declared rate of                                                                  shop
    shopping via the internet




                                           Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
E-shopping on foreign sites
Croatians are still distrusful when it comes to online shopping outside their
country. This trend changes with time but slowly.
   Croatia 2008 e-shopping abroad                                               Croatia 2012 e-shopping abroad



                                    do not                                                                                do not shop
                                    shop
    17,54%

                                                                             36,13%



                                                                                                          58,84%

                 76,86%             shop                                                                                  shop




                                             Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
Gender share in online shopping
At present Serbian men shop significantly more than women. Croatian case shows us
this is likely to change with time.

Serbia 2012                                             Croatia 2008

                       Females

              41,75%                                                              40,68%
                                                                                                  Females    Males
  58,25%                                                      59,32%
                       Males




    Croatian case as well                   Croatia 2012
    as others show us that
    as market matures,
    gender disproportions                                              46,26%          Females    Males

    tend to even out                              53,74%




                                 Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
Growing role of smaller settlements
The Croatian case shows us growth in importance of smaller settlements. It is
likely that Serbia wil follow that pattern.
Serbia 2012                                                          Croatia 2008
                               over 100,000                                                                    over 100,000
     16,26%
                               25,000-99,999                                                                   25,000-99,999
                    37,77%                                                  25,50%            32,30%
  18,28%                       5000-24,999
                                                                                                               5000-24,999
                                                                            19,28%
                               up to 5000
           18,68%                                                                        16,92%                up to 4,999


                                                            Croatia 2012
    Presently inhabitants                                                                               over 100,000

    of major cities
                                                                                     26,82%             25,000-99,999
    dominate the online                                           30,20%

    market                                                                                              5000-24,999
    We predict that with time this will
    change.                                                                          15,80%
                                                                       19,89%                           up to 4,999




                                               Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
Seniors
Number of seniors (55+) who shop online is relatively high
                                                                     Croatia 2008                0,54%
                                                                                                            15-24
                                                                          12,76%
 Serbia 2012                                                                                                25-34

                                                                                        29,30%              35-44
                                                                          25,44%
                                                                                                            45-54
              10,49%
                                                                                     27,15%
                                  15-24                                                                     55+

                         26,11%
     11,88%                       25-34
                                                       In comparison in Croatia in 2008 their
                                  35-44                activity was neglegible and is still small.
     21,50%                       45-54                           Croatia 2012              4,40%
                       30,03%                                                                                  15-24
                                  55+
                                                                 12,00%                                        25-34

                                                                                         33,04%                35-44
                                                                       21,18%
                                                                                                               45-54


                                                                                   29,38%                      55+



                                  Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
Nice, but who is the loyal and frequent customer?
Men shop online more often
This will probably change with time but now the smallest gap between men and
women is in group that shops online least frequently

      Gender

80%

70%
                                                                          FEMALES SHOP
60%                                                                       LESS OFTEN
50%                                                                       …online of course ;)
40%

30%

20%

10%

 0%
          weekly   1-3 times a month   A few times a year



                           M    F




                                                            Source of data: gemiusAudience for Serbia, February 2012
Age groups
Different age groups have relatively even share in online shopping, which is a
good sign.


      Age groups                                                                    Most active is group 25-34
35%                                                                                 already recognized as
30%                                                                                 SEXY GROUP
25%

20%

15%

10%
                                                                                    Interesting feature of Serbian
                                                                                    market is quite big group of
 5%

 0%
           weekly           1-3 times a month           A few times a year
                                                                                    ACTIVE SENIORS
                                                                                    who shop quite often
                    15-24    25-34    35-44     45-54   55+




                                                                      Source of data: gemiusAudience for Serbia, February 2012
Middle-class are the most frequent customers
People with personal income 20-50.000 RSD are largest weekly onine buying
group
       Personal income

 70%
                                                                                             Interestingly also those with
                                                                                             no declared income do their
 60%                                                                                         shopping online.
 50%
                                                                                             Probably those are
 40%

 30%
                                                                                             STUDENTS AND
 20%                                                                                         HOUSEWIVES
 10%                                                                                         searching for lowest prices.
 0%
            weekly                  1-3 times a month      A few times a year


              100.001 din or more     80.001-100.000     50.001-80.000
              20.001-50.000           less than 20.000   no income




                                                                                Source of data: gemiusAudience for Serbia, February 2012
But the wealthy shop more often
Three groups with highest income shop online most frequently. This might
indicate a niche in the segment of exclusive products.

         Shopping engagement
40,00%
                                                                                             In total, almost half of the
                                                                                             internet users with personal
35,00%
                                                                                             income over 100.000 din
30,00%

25,00%
                                                                                             is buying online
20,00%                                                                                       at least once a
15,00%

10,00%
                                                                                             month
 5,00%

 0,00%
               weekly                1-3 times a month          A few times a year

              100.001 din or more   80.001-100.000       50.001-80.000
              20.001-50.000         less than 20.000     no income




                                                                                Source of data: gemiusAudience for Serbia, February 2012
So how, with help of the digital insights, e-
commerce players can optimize the online sales
and adjust their offer to the needs of online
shoppers?
What digital insights to use to boost sales?


   • It is worth using the click and hot spot
     measurement and other tools such as adservers
     and web analytics

   • Most of this investement comes back through
     increased revenues and more satisfied
     customers


                       WHY?
Why adserver for e-commerce?



   • Bigger conversion
   • More satisfied and less annoyed customer
   • Optimal monetization of ad space
   • Satisfied partners
   • Better promotion and discounts management



      HOW DOES IT WORK?
Targeting by devices and browsing systems

  Suggest iPhone users to buy other products from Apple




                                             Don’t show Firefox display
                                                  to Firefox users




                                                                          19
Database targeting
Combine it with numerical targeting based on your partner’s database internal
campaign and target for example only users at age 20-30.




                                                                                20
Numerical Targeting

 Gives possibility to display advertisements after any defined variables of
 the numeric type and after logic expressions connected to them.

 E-commerce platforms have wide database that can be used for setting up
 the most efficient targeting for logged-in users



 CASE: Serve exclusive gold jewelry
 advertisement only to the richest and
 mature users

 •   If average transaction was higher then $
 •   If product from luxurious categories
 •   If user’s age is between 35-60
 •   If already bought some exlusive jewelry




                                                                              21
Key words capping


                     Depending
                      on words
                     user type in
                       internal
                    search engine




                       ad server
                        displays
                      appropriate
                          ads



                                    22
Conditional Stop
 System stops displaying campaign after pre-defined user action – the Client just
 bought the bike!




                                                                                    23
Re-targeting
Change or strengthen the communication by serving different display after
certain action occurs.




                            BUY
                            ME!



    1.User see this display            2. User adds bike to the basket



                                                             BUY ME AND
                                                             GET SECOND
                                                             BIKE FOR 50%

   3. User’s changed his mind.
  After emptying basket user is            4. Coming back to the 1st
     served with other bikes             placement user is served with
           suggestions                   strengthened communication



                                                                            24
Why click and hot-spots’ measurement ?



   • Get up to 20% more clicks -> bigger conversion
   • More effective bundles of products and product
     rotation
   • Increased site usability and hot spots identifies
   • Real-time site management (1 minute delay!)
   • Easy implementation (1 script) and full support



        HOW DOES IT WORK?
Is your site really intuitive?
Check in real-time what attracts the biggest attention and start improving your site!




                                                                                        26
Test most attractive titles and images




                                         27
Find the hot
    spots



The trend is to
                      How many users reaches the very
shorten the pages
                      bottom of your page?

„Heat zones” are
not allways at the    Where the promoted material
very top, find the    should appear?
one on your page

                      Which zones are „invisible” ?
Link the unlinked
elements if you see
users click them




                                                        28
gemiusHeatMap case studies

 Product may be promoted in several ways:




                              Effect ?
 Choose the most    Learn where             Use your experience
 attractive photo   exactly users click     for future choices

                                                                  29
gemiusHeatMap case studies
                How to rotate with product promotion?


                                                        Best spot, for the
                                                        biggest margin on
6 products
                                                        product
and positions



How to
                                                        Most popular
maximize
                                                        product may
sales
                                                        remain lower in
potential?
                                                        hierarchy

Is it the
product/ the
position?


                                                                      30
gemiusHeatMap case studies

      Looking for the bigger picture agregating the traffic


                                                              Two different
                                                              keywords


                                                              Lead us to the
                                                              same location


                                                              Generating 2
                                                              different URL
                                                              addresses
 http://www.otodom.pl/products.php?productId=1022&keyword=2balconies
 http://www.otodom.pl/products.php?productId=1022&keyword=3bedrooms




                                                                               31
THANK YOU

   HVALA !


Join us @:                  Contact:

Facebook.com/GemiusGroup
                            Marta Klepka
Twitter.com/Gemius          Global PR and Communications
Slideshare.net/Gemius_com
YouTube.com/WwwGemiusCom
                            Director
                            marta.klepka@gemius.com

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2012_04_26_Digital_insights_for_e-commerce_industry_in Serbia_Marta_Klepka_Gemius

  • 1. Digital insights for e-commerce industry in Serbia How to improve usabiliity of e-commerce services & virtual merchandising Marta Klepka Gemius SA E-trgovina, Palič, 26.04.2012
  • 2. About us • a global company and the no. 1 choice in EMEA, provides consultancy and expertise on consumer behaviour in the digital world • ‘one stop shop’ for everyone who needs to measure a website, plan and deliver effective online campaigns or use the internet as a communication channel 2
  • 3. Gemius as the currency in online measurement JIC Standard: Poland, Czech Republic, Slovakia, Hungary, Slovenia, Turkey, Israel, Denmark, Ukraine, Belarus, Moldova De facto currency: Lithuania, , Latvia, Estonia, Bulgaria, Bosnia, Croatia Start-up: Russia, Serbia, MENA (UAE, KSI, Egypt, Lebanon, Jordan, Syria, Kuwait, Morocco, Tunisia) 3
  • 4. The story is… • The profile of e-shopper in Serbia and Croatia • Loyal customers • Improving ROI thanks to targeting and more effective promotion • The key to virtual merchandising
  • 5. OK, so who is shopping online in Serbia?
  • 6. How many internet users shop online? The percentage of internet users who shop via internet increased significantly over the years in Croatia. That gives Serbia hope for the brighter future Croatia 2008 Serbia 2012 do not shop do not shop 27,69% 41,57% 58,43% shop 67,14% shop Croatia 2012 Situation on Serbian do not shop market looks quite optimistic 45,00% 50,62% Percentage of declared rate of shop shopping via the internet Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
  • 7. E-shopping on foreign sites Croatians are still distrusful when it comes to online shopping outside their country. This trend changes with time but slowly. Croatia 2008 e-shopping abroad Croatia 2012 e-shopping abroad do not do not shop shop 17,54% 36,13% 58,84% 76,86% shop shop Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
  • 8. Gender share in online shopping At present Serbian men shop significantly more than women. Croatian case shows us this is likely to change with time. Serbia 2012 Croatia 2008 Females 41,75% 40,68% Females Males 58,25% 59,32% Males Croatian case as well Croatia 2012 as others show us that as market matures, gender disproportions 46,26% Females Males tend to even out 53,74% Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
  • 9. Growing role of smaller settlements The Croatian case shows us growth in importance of smaller settlements. It is likely that Serbia wil follow that pattern. Serbia 2012 Croatia 2008 over 100,000 over 100,000 16,26% 25,000-99,999 25,000-99,999 37,77% 25,50% 32,30% 18,28% 5000-24,999 5000-24,999 19,28% up to 5000 18,68% 16,92% up to 4,999 Croatia 2012 Presently inhabitants over 100,000 of major cities 26,82% 25,000-99,999 dominate the online 30,20% market 5000-24,999 We predict that with time this will change. 15,80% 19,89% up to 4,999 Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
  • 10. Seniors Number of seniors (55+) who shop online is relatively high Croatia 2008 0,54% 15-24 12,76% Serbia 2012 25-34 29,30% 35-44 25,44% 45-54 10,49% 27,15% 15-24 55+ 26,11% 11,88% 25-34 In comparison in Croatia in 2008 their 35-44 activity was neglegible and is still small. 21,50% 45-54 Croatia 2012 4,40% 30,03% 15-24 55+ 12,00% 25-34 33,04% 35-44 21,18% 45-54 29,38% 55+ Source of data: gemiusAudience for Serbia February 2012 and Croatia - 2008 and 2012
  • 11. Nice, but who is the loyal and frequent customer?
  • 12. Men shop online more often This will probably change with time but now the smallest gap between men and women is in group that shops online least frequently Gender 80% 70% FEMALES SHOP 60% LESS OFTEN 50% …online of course ;) 40% 30% 20% 10% 0% weekly 1-3 times a month A few times a year M F Source of data: gemiusAudience for Serbia, February 2012
  • 13. Age groups Different age groups have relatively even share in online shopping, which is a good sign. Age groups Most active is group 25-34 35% already recognized as 30% SEXY GROUP 25% 20% 15% 10% Interesting feature of Serbian market is quite big group of 5% 0% weekly 1-3 times a month A few times a year ACTIVE SENIORS who shop quite often 15-24 25-34 35-44 45-54 55+ Source of data: gemiusAudience for Serbia, February 2012
  • 14. Middle-class are the most frequent customers People with personal income 20-50.000 RSD are largest weekly onine buying group Personal income 70% Interestingly also those with no declared income do their 60% shopping online. 50% Probably those are 40% 30% STUDENTS AND 20% HOUSEWIVES 10% searching for lowest prices. 0% weekly 1-3 times a month A few times a year 100.001 din or more 80.001-100.000 50.001-80.000 20.001-50.000 less than 20.000 no income Source of data: gemiusAudience for Serbia, February 2012
  • 15. But the wealthy shop more often Three groups with highest income shop online most frequently. This might indicate a niche in the segment of exclusive products. Shopping engagement 40,00% In total, almost half of the internet users with personal 35,00% income over 100.000 din 30,00% 25,00% is buying online 20,00% at least once a 15,00% 10,00% month 5,00% 0,00% weekly 1-3 times a month A few times a year 100.001 din or more 80.001-100.000 50.001-80.000 20.001-50.000 less than 20.000 no income Source of data: gemiusAudience for Serbia, February 2012
  • 16. So how, with help of the digital insights, e- commerce players can optimize the online sales and adjust their offer to the needs of online shoppers?
  • 17. What digital insights to use to boost sales? • It is worth using the click and hot spot measurement and other tools such as adservers and web analytics • Most of this investement comes back through increased revenues and more satisfied customers WHY?
  • 18. Why adserver for e-commerce? • Bigger conversion • More satisfied and less annoyed customer • Optimal monetization of ad space • Satisfied partners • Better promotion and discounts management HOW DOES IT WORK?
  • 19. Targeting by devices and browsing systems Suggest iPhone users to buy other products from Apple Don’t show Firefox display to Firefox users 19
  • 20. Database targeting Combine it with numerical targeting based on your partner’s database internal campaign and target for example only users at age 20-30. 20
  • 21. Numerical Targeting Gives possibility to display advertisements after any defined variables of the numeric type and after logic expressions connected to them. E-commerce platforms have wide database that can be used for setting up the most efficient targeting for logged-in users CASE: Serve exclusive gold jewelry advertisement only to the richest and mature users • If average transaction was higher then $ • If product from luxurious categories • If user’s age is between 35-60 • If already bought some exlusive jewelry 21
  • 22. Key words capping Depending on words user type in internal search engine ad server displays appropriate ads 22
  • 23. Conditional Stop System stops displaying campaign after pre-defined user action – the Client just bought the bike! 23
  • 24. Re-targeting Change or strengthen the communication by serving different display after certain action occurs. BUY ME! 1.User see this display 2. User adds bike to the basket BUY ME AND GET SECOND BIKE FOR 50% 3. User’s changed his mind. After emptying basket user is 4. Coming back to the 1st served with other bikes placement user is served with suggestions strengthened communication 24
  • 25. Why click and hot-spots’ measurement ? • Get up to 20% more clicks -> bigger conversion • More effective bundles of products and product rotation • Increased site usability and hot spots identifies • Real-time site management (1 minute delay!) • Easy implementation (1 script) and full support HOW DOES IT WORK?
  • 26. Is your site really intuitive? Check in real-time what attracts the biggest attention and start improving your site! 26
  • 27. Test most attractive titles and images 27
  • 28. Find the hot spots The trend is to How many users reaches the very shorten the pages bottom of your page? „Heat zones” are not allways at the Where the promoted material very top, find the should appear? one on your page Which zones are „invisible” ? Link the unlinked elements if you see users click them 28
  • 29. gemiusHeatMap case studies Product may be promoted in several ways: Effect ? Choose the most Learn where Use your experience attractive photo exactly users click for future choices 29
  • 30. gemiusHeatMap case studies How to rotate with product promotion? Best spot, for the biggest margin on 6 products product and positions How to Most popular maximize product may sales remain lower in potential? hierarchy Is it the product/ the position? 30
  • 31. gemiusHeatMap case studies Looking for the bigger picture agregating the traffic Two different keywords Lead us to the same location Generating 2 different URL addresses http://www.otodom.pl/products.php?productId=1022&keyword=2balconies http://www.otodom.pl/products.php?productId=1022&keyword=3bedrooms 31
  • 32. THANK YOU HVALA ! Join us @: Contact: Facebook.com/GemiusGroup Marta Klepka Twitter.com/Gemius Global PR and Communications Slideshare.net/Gemius_com YouTube.com/WwwGemiusCom Director marta.klepka@gemius.com