SlideShare a Scribd company logo
1 of 31
Moldovan Internet
Landscape
 First audience data



 Catalin Emilian
 Gemius


 Chisinau, 03.09.2012
Hybrid approach to internet
measurement
 Different types                  Gemius was the
                                          Mobile
                                  first research
 of data                                  apps
                                  company to
 combined:                        successfully
 •Traffic data                    operate a hybrid
 •Panel data                      methodology and is
 •Establishment                   the true pioneers of
 study                            this approach
 Concept of hybrid measurement was presented by Gemius on
 ESOMAR conference Wordwide Audience Measurement in Los
                     Angeles, USA 2003
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)
Methodology
Site-centric audit                      Cookie panel
  • Hard data about the ALL traffic       • Source of socio-demo data
  • 100% reliable data




                                                           Data integration
 Establishment                                           • Recalculation of
                                                           cookies into customers
 Study                                                   • Data filtering &
• Population data                                          processing


                 gemiusAudience RESULTS
                 • Provided on quarterly basis
                 • Describes Internet audience
i
                                                                                d
                                                                                e
                                                                                d

     Site-centric audit                 Fused panels                            o
                                                                                n
  • Hard data about the ALL traffic   • Source of socio-demo data
  • 100% reliable data                                                          q
                                                                                u
                                                                                a
                                                                                r
                                                                                t
                                                       Data integration         e
                                                                                r
 Establishment                                       • Recalculation of
                                                                                l
                                                       cookies into customers
 Study                                               • Data filtering &
                                                                                y

• Population data                                      processing
                                                                                b
                                                                                a
                 gemiusAudience RESULTS                                         s
                                                                                i
                                                                                s
                 •                                                              D
                                                                                e
Site-centric audit
• Real data on people
  behaviour (not
  declarative)              Behavioural
                                    Mobile
• Measures page             representativeness:
  views, time spent
                                    apps
                            •Real users
  and visits of all users   •Page views
  – work and home           •Time spent
• Base for Real Users       •Visits
  (real individuals)
  calculation
• Tracking via scripts
  embedded into
  participating
  websites
Site-centric audit                      Cookie panel
  • Hard data about the ALL traffic       • Source of socio-demo data
  • 100% reliable data




                                                           Data integration
 Establishment                                           • Recalculation of
                                                           cookies into customers
 Study                                                   • Data filtering &
• Population data                                          processing


                 gemiusAudience RESULTS
                 • Provided on quarterly basis
                 • Describes Internet audience
Cookie Panel
        •   Recruited online
        •   2839 members
        •   Monitoring through site-centric scripts and cookies
        •   Monitoring of panelists’ behavior on websites with
            site-centric scripts
Panel representativeness

 Socio-                    Behavioural
                                   Mobile
 demographical             representativeness:
 representativeness:               apps
                           •Real users
 •Age                      •Page views
 •Gender                   •Time spent
 •Education                •Visits




 Panel calibration with usage of RIM weighting
Site-centric audit                      Fused panels
  • Hard data about the ALL traffic       • Source of socio-demo data
  • 100% reliable data




                                                           Data integration
 Establishment                                           • Recalculation of
                                                           cookies into customers
 Study                                                   • Data filtering &
• Population data                                          processing


                 gemiusAudience RESULTS
                 • Provided on quarterly basis
                 • Describes Internet audience
Establishment study

 •   Offline study about Internet population:
     • Number of internet users
     • Gender, Age, Education etc
 •   Base for Real Users (real individuals)
     calculation
 •   Used for calibrating (weighting) the Panel
Site-centric audit                      Cookie panel
  • Hard data about the ALL traffic       • Source of socio-demo data
  • 100% reliable data




                                                           Data integration
 Establishment                                           • Recalculation of
                                                           cookies into customers
 Study                                                   • Data filtering &
• Population data                                          processing


                 gemiusAudience RESULTS
                 • Provided on quarterly basis
                 • Describes Internet audience
Data integration

 •   Study rules
 •   Procedures
 •   Data filtering
 •   Real User alghoritm
 •   Panels calibration
 •   Media trees
Study results

  •   Provided on
      quarterly basis
  •   Analytical
      application




                       Test results:
http://netmonitor.gem.pl/gA_Moldova/gA_2012_07_Moldova_all.gem
Moldovan internet


                    50,5%
                    Internet penetration

                    1 502 637
                    Internet Users


                    1,3 mln EUR
                    Online AdSpends 2011

                    ≈ 1 EUR
                    Online Adspends per
                    Internet User




                      Source Online Adspends 2011 Zenith Optimedia
Moldovan Internet market among other
Moldovan Internet market among other
Moldovan Internet – main characteristics




                                         1 502 637 internet users



        1054 page views per internet user



                  24 h 28 minutes spent by one internet user per month




                                         Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Moldovan Internet – main characteristics


54% of Moldovan online audience are men, 46% - women




                                            Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Moldovan Internet – main characteristics

Only 47 % of page views are made by men; women browse more




                                                 Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Moldovan Internet – main characteristics


Men spend significantly less time online than women




                                                                                            29:32



                                                            20:06




                                            Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Moldovan Internet – main characteristics


Age group 20-29 is most represented on the internet




                                          Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Moldovan Internet – second youngest population in CEE

 Share of people in the age group 15-34
Moldovan Internet – main characteristics

 Among education groups higher education group is most present online,
 however online activity decreasing with education




                                              Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Moldovan Internet – high share of best educated users
Share of people with higher education
Top websites in Moldova




                          Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Manliest websites – examples from top 50

       drive.md               Reach: 5,98%
                              Men: 75,72%
                              Page views by men: 82,22%
                              Time spent by men: 92,73%


       forum.md               Reach: 8,31%
                              Men: 73,68%
                              Page views by men: 91,31%
                              Time spent by men: 93,41%

       piataauto.md           Reach:1,70%
                              Men: 69,45%
                              Page views by men: 79,82%
                              Time spent by men: 79,69%



                                   Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
Websites for women – top 3 on audience composition

       perfecte.md           Reach: 7.41%
                             Women: 69.16%
                             Page views by women: 64,41%
                             Time spent by women: 76.12%


       meteo2.md             Reach: 34,57%
                             Women: 48,87%
                             Page views by women: 64,41%
                             Time spent by women: 64,82%

       Allfun.md             Reach: 34,57%
                             Women: 48,87%
                             Page views by women: 64,41%
                             Time spent by women: 64,82%



                                  Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
For more information explore the data 




                                  Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
THANK YOU




Join us @:                  Contact:
Facebook.com/GemiusGroup    Catalin Emilian
Twitter.com/Gemius          Country Manager Romania & Moldova
Slideshare.net/Gemius_com   catalin.emilian@gemius.com
YouTube.com/WwwGemiusCom

More Related Content

Similar to 2012 09 moldovan_internet_landscape

Linked_Open_Data_Rome_Netcamp_13
Linked_Open_Data_Rome_Netcamp_13Linked_Open_Data_Rome_Netcamp_13
Linked_Open_Data_Rome_Netcamp_13Michele Piunti
 
OSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - TechnicalOSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - TechnicalAccenture the Netherlands
 
Zakipoint Introduction
Zakipoint IntroductionZakipoint Introduction
Zakipoint Introductionrameshkbudhani
 
Web Metrics vs Web Behavioral Analytics and Why You Need to Know the Difference
Web Metrics vs Web Behavioral Analytics and Why You Need to Know the DifferenceWeb Metrics vs Web Behavioral Analytics and Why You Need to Know the Difference
Web Metrics vs Web Behavioral Analytics and Why You Need to Know the DifferenceAlterian
 
The True Value of Grid Reliability
The True Value of Grid ReliabilityThe True Value of Grid Reliability
The True Value of Grid ReliabilityEchelon Corporation
 
Low Hon Chau
Low Hon ChauLow Hon Chau
Low Hon ChauNone None
 
4G World CFN Presentation Mobile Backhaul
4G World CFN Presentation Mobile Backhaul4G World CFN Presentation Mobile Backhaul
4G World CFN Presentation Mobile BackhaulCFN Services
 
Bill Stankiewicz Copy Scope 2010 Disney.Com
Bill Stankiewicz Copy Scope 2010 Disney.ComBill Stankiewicz Copy Scope 2010 Disney.Com
Bill Stankiewicz Copy Scope 2010 Disney.ComBillStankiewicz
 
SunCorp Analytics
SunCorp AnalyticsSunCorp Analytics
SunCorp AnalyticsDatalicious
 
Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…Vanguard Visions
 
Track and Trace Solution Details
Track and Trace Solution DetailsTrack and Trace Solution Details
Track and Trace Solution DetailsPropix Technologies
 
Improving Healthcare Delivery
Improving Healthcare DeliveryImproving Healthcare Delivery
Improving Healthcare DeliveryDave DeBonis
 
Digitale fabriek - I2 Iterias
Digitale fabriek - I2 IteriasDigitale fabriek - I2 Iterias
Digitale fabriek - I2 IteriasSirris
 
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and EquinixExpand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and EquinixAmazon Web Services
 
Customer Insight Analysis
Customer Insight AnalysisCustomer Insight Analysis
Customer Insight AnalysisVC4
 
Web Analytics Webinar 10June2010
Web Analytics Webinar 10June2010Web Analytics Webinar 10June2010
Web Analytics Webinar 10June2010ichalif
 
Decoding web analytics to boost conversion
Decoding web analytics to boost conversionDecoding web analytics to boost conversion
Decoding web analytics to boost conversionwrnorris
 

Similar to 2012 09 moldovan_internet_landscape (20)

Linked_Open_Data_Rome_Netcamp_13
Linked_Open_Data_Rome_Netcamp_13Linked_Open_Data_Rome_Netcamp_13
Linked_Open_Data_Rome_Netcamp_13
 
OSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - TechnicalOSC2012: Big Data Using Open Source: Netapp Project - Technical
OSC2012: Big Data Using Open Source: Netapp Project - Technical
 
Zakipoint Introduction
Zakipoint IntroductionZakipoint Introduction
Zakipoint Introduction
 
Web Metrics vs Web Behavioral Analytics and Why You Need to Know the Difference
Web Metrics vs Web Behavioral Analytics and Why You Need to Know the DifferenceWeb Metrics vs Web Behavioral Analytics and Why You Need to Know the Difference
Web Metrics vs Web Behavioral Analytics and Why You Need to Know the Difference
 
The True Value of Grid Reliability
The True Value of Grid ReliabilityThe True Value of Grid Reliability
The True Value of Grid Reliability
 
Low Hon Chau
Low Hon ChauLow Hon Chau
Low Hon Chau
 
4G World CFN Presentation Mobile Backhaul
4G World CFN Presentation Mobile Backhaul4G World CFN Presentation Mobile Backhaul
4G World CFN Presentation Mobile Backhaul
 
Bill Stankiewicz Copy Scope 2010 Disney.Com
Bill Stankiewicz Copy Scope 2010 Disney.ComBill Stankiewicz Copy Scope 2010 Disney.Com
Bill Stankiewicz Copy Scope 2010 Disney.Com
 
SunCorp Analytics
SunCorp AnalyticsSunCorp Analytics
SunCorp Analytics
 
Data mining applications
Data mining applicationsData mining applications
Data mining applications
 
Crystal Qube™ Presentation
Crystal Qube™ PresentationCrystal Qube™ Presentation
Crystal Qube™ Presentation
 
Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…Designing Learning in the Digital Age - Analysing_your_organisations_digit…
Designing Learning in the Digital Age - Analysing_your_organisations_digit…
 
Track and Trace Solution Details
Track and Trace Solution DetailsTrack and Trace Solution Details
Track and Trace Solution Details
 
Acuma Introduction
Acuma IntroductionAcuma Introduction
Acuma Introduction
 
Improving Healthcare Delivery
Improving Healthcare DeliveryImproving Healthcare Delivery
Improving Healthcare Delivery
 
Digitale fabriek - I2 Iterias
Digitale fabriek - I2 IteriasDigitale fabriek - I2 Iterias
Digitale fabriek - I2 Iterias
 
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and EquinixExpand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
Expand Your Enterprise Cloud Strategy with AWS Direct Connect and Equinix
 
Customer Insight Analysis
Customer Insight AnalysisCustomer Insight Analysis
Customer Insight Analysis
 
Web Analytics Webinar 10June2010
Web Analytics Webinar 10June2010Web Analytics Webinar 10June2010
Web Analytics Webinar 10June2010
 
Decoding web analytics to boost conversion
Decoding web analytics to boost conversionDecoding web analytics to boost conversion
Decoding web analytics to boost conversion
 

More from Audit Bureau of Circulation and Internet Moldova

More from Audit Bureau of Circulation and Internet Moldova (20)

ONLINE AUDIENCE PROFILE - Q4/2022, MOLDOVA
ONLINE AUDIENCE PROFILE - Q4/2022, MOLDOVAONLINE AUDIENCE PROFILE - Q4/2022, MOLDOVA
ONLINE AUDIENCE PROFILE - Q4/2022, MOLDOVA
 
Audience profile of the most popular sites in Moldova. Q3 2022
Audience profile of the most popular sites in Moldova. Q3 2022Audience profile of the most popular sites in Moldova. Q3 2022
Audience profile of the most popular sites in Moldova. Q3 2022
 
Online Audience February, 2021, Moldova
Online Audience February, 2021, MoldovaOnline Audience February, 2021, Moldova
Online Audience February, 2021, Moldova
 
Online Audience Study, 2020
Online Audience Study, 2020Online Audience Study, 2020
Online Audience Study, 2020
 
Online Audience in Moldova // 2019 DECEMBER
Online Audience in Moldova // 2019 DECEMBEROnline Audience in Moldova // 2019 DECEMBER
Online Audience in Moldova // 2019 DECEMBER
 
2019 Moldavian Online Landscape
2019 Moldavian Online Landscape2019 Moldavian Online Landscape
2019 Moldavian Online Landscape
 
Online Audience in Moldova // 2019 JANUARY
Online Audience in Moldova // 2019 JANUARYOnline Audience in Moldova // 2019 JANUARY
Online Audience in Moldova // 2019 JANUARY
 
Online Audience in Moldova // 2018 December
Online Audience in Moldova // 2018 DecemberOnline Audience in Moldova // 2018 December
Online Audience in Moldova // 2018 December
 
2018 september
2018 september2018 september
2018 september
 
MD ONLINE AUDIENCE STUDY REPORT. JUNE 2018
MD ONLINE AUDIENCE  STUDY REPORT. JUNE 2018MD ONLINE AUDIENCE  STUDY REPORT. JUNE 2018
MD ONLINE AUDIENCE STUDY REPORT. JUNE 2018
 
2018 March
2018 March2018 March
2018 March
 
Profil internauti RM, 2017
Profil internauti RM, 2017Profil internauti RM, 2017
Profil internauti RM, 2017
 
ONLINE AUDIENCE REPORT DECEMBER 2017
ONLINE AUDIENCE REPORT DECEMBER 2017ONLINE AUDIENCE REPORT DECEMBER 2017
ONLINE AUDIENCE REPORT DECEMBER 2017
 
Bati online audience study presentation
Bati online audience study presentationBati online audience study presentation
Bati online audience study presentation
 
OBSERVATORUL INTERNETULUI MOLDAV
OBSERVATORUL INTERNETULUI MOLDAVOBSERVATORUL INTERNETULUI MOLDAV
OBSERVATORUL INTERNETULUI MOLDAV
 
MD Online Audience Composition, DECEMBER 2016
MD Online Audience Composition, DECEMBER 2016MD Online Audience Composition, DECEMBER 2016
MD Online Audience Composition, DECEMBER 2016
 
MD Online Audience Composition, SEPTEMBER 2016
MD Online Audience Composition, SEPTEMBER 2016MD Online Audience Composition, SEPTEMBER 2016
MD Online Audience Composition, SEPTEMBER 2016
 
MD Online Audience Composition, JUNE 2016
MD Online Audience Composition, JUNE 2016MD Online Audience Composition, JUNE 2016
MD Online Audience Composition, JUNE 2016
 
Gemius audience methodology moldova 01 2016
Gemius audience methodology moldova 01 2016Gemius audience methodology moldova 01 2016
Gemius audience methodology moldova 01 2016
 
Schimbari recente in profilul socio-demografic al utilizatorilor de internet ...
Schimbari recente in profilul socio-demografic al utilizatorilor de internet ...Schimbari recente in profilul socio-demografic al utilizatorilor de internet ...
Schimbari recente in profilul socio-demografic al utilizatorilor de internet ...
 

Recently uploaded

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 

Recently uploaded (20)

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 

2012 09 moldovan_internet_landscape

  • 1. Moldovan Internet Landscape First audience data Catalin Emilian Gemius Chisinau, 03.09.2012
  • 2. Hybrid approach to internet measurement Different types Gemius was the Mobile first research of data apps company to combined: successfully •Traffic data operate a hybrid •Panel data methodology and is •Establishment the true pioneers of study this approach Concept of hybrid measurement was presented by Gemius on ESOMAR conference Wordwide Audience Measurement in Los Angeles, USA 2003
  • 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)
  • 5. Site-centric audit Cookie panel • Hard data about the ALL traffic • Source of socio-demo data • 100% reliable data Data integration Establishment • Recalculation of cookies into customers Study • Data filtering & • Population data processing gemiusAudience RESULTS • Provided on quarterly basis • Describes Internet audience
  • 6. i d e d Site-centric audit Fused panels o n • Hard data about the ALL traffic • Source of socio-demo data • 100% reliable data q u a r t Data integration e r Establishment • Recalculation of l cookies into customers Study • Data filtering & y • Population data processing b a gemiusAudience RESULTS s i s • D e
  • 7. Site-centric audit • Real data on people behaviour (not declarative) Behavioural Mobile • Measures page representativeness: views, time spent apps •Real users and visits of all users •Page views – work and home •Time spent • Base for Real Users •Visits (real individuals) calculation • Tracking via scripts embedded into participating websites
  • 8. Site-centric audit Cookie panel • Hard data about the ALL traffic • Source of socio-demo data • 100% reliable data Data integration Establishment • Recalculation of cookies into customers Study • Data filtering & • Population data processing gemiusAudience RESULTS • Provided on quarterly basis • Describes Internet audience
  • 9. Cookie Panel • Recruited online • 2839 members • Monitoring through site-centric scripts and cookies • Monitoring of panelists’ behavior on websites with site-centric scripts
  • 10. Panel representativeness Socio- Behavioural Mobile demographical representativeness: representativeness: apps •Real users •Age •Page views •Gender •Time spent •Education •Visits Panel calibration with usage of RIM weighting
  • 11. Site-centric audit Fused panels • Hard data about the ALL traffic • Source of socio-demo data • 100% reliable data Data integration Establishment • Recalculation of cookies into customers Study • Data filtering & • Population data processing gemiusAudience RESULTS • Provided on quarterly basis • Describes Internet audience
  • 12. Establishment study • Offline study about Internet population: • Number of internet users • Gender, Age, Education etc • Base for Real Users (real individuals) calculation • Used for calibrating (weighting) the Panel
  • 13. Site-centric audit Cookie panel • Hard data about the ALL traffic • Source of socio-demo data • 100% reliable data Data integration Establishment • Recalculation of cookies into customers Study • Data filtering & • Population data processing gemiusAudience RESULTS • Provided on quarterly basis • Describes Internet audience
  • 14. Data integration • Study rules • Procedures • Data filtering • Real User alghoritm • Panels calibration • Media trees
  • 15. Study results • Provided on quarterly basis • Analytical application Test results: http://netmonitor.gem.pl/gA_Moldova/gA_2012_07_Moldova_all.gem
  • 16. Moldovan internet 50,5% Internet penetration 1 502 637 Internet Users 1,3 mln EUR Online AdSpends 2011 ≈ 1 EUR Online Adspends per Internet User Source Online Adspends 2011 Zenith Optimedia
  • 19. Moldovan Internet – main characteristics 1 502 637 internet users 1054 page views per internet user 24 h 28 minutes spent by one internet user per month Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 20. Moldovan Internet – main characteristics 54% of Moldovan online audience are men, 46% - women Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 21. Moldovan Internet – main characteristics Only 47 % of page views are made by men; women browse more Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 22. Moldovan Internet – main characteristics Men spend significantly less time online than women 29:32 20:06 Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 23. Moldovan Internet – main characteristics Age group 20-29 is most represented on the internet Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 24. Moldovan Internet – second youngest population in CEE Share of people in the age group 15-34
  • 25. Moldovan Internet – main characteristics Among education groups higher education group is most present online, however online activity decreasing with education Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 26. Moldovan Internet – high share of best educated users Share of people with higher education
  • 27. Top websites in Moldova Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 28. Manliest websites – examples from top 50 drive.md Reach: 5,98% Men: 75,72% Page views by men: 82,22% Time spent by men: 92,73% forum.md Reach: 8,31% Men: 73,68% Page views by men: 91,31% Time spent by men: 93,41% piataauto.md Reach:1,70% Men: 69,45% Page views by men: 79,82% Time spent by men: 79,69% Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 29. Websites for women – top 3 on audience composition perfecte.md Reach: 7.41% Women: 69.16% Page views by women: 64,41% Time spent by women: 76.12% meteo2.md Reach: 34,57% Women: 48,87% Page views by women: 64,41% Time spent by women: 64,82% Allfun.md Reach: 34,57% Women: 48,87% Page views by women: 64,41% Time spent by women: 64,82% Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 30. For more information explore the data  Source: BATI Internet Audience Measurement, gemiusAudience July 2012.
  • 31. THANK YOU Join us @: Contact: Facebook.com/GemiusGroup Catalin Emilian Twitter.com/Gemius Country Manager Romania & Moldova Slideshare.net/Gemius_com catalin.emilian@gemius.com YouTube.com/WwwGemiusCom

Editor's Notes

  1. The map is edited in the wzorzec slajdów