SlideShare uma empresa Scribd logo
1 de 15
5


    Facebook’s Five
         User types
What are the other aspects in
which these 5 types differ?


June 2011




                                    1
FACEBOOK’S FIVE USER T YPES

 Utilizing data from a previous study by Pyschster Inc. that had
  established the five major Facebook user types, we wanted to
  create a pilot study to discover the various aspects in which
  these groups dif fer.

 Facebook User Types
   Cruisers/Application Users
   Impression Managers
   Info/Spectators
   Offline Networkers
   Update Junkies



                                                                1
METHOD

 Took the results and data from the Psychster study to develop our study

 We created a sur vey asking user s to rate their opinions on a five -
  point scale regarding:
   How they live
   Demographic data
   What media they consume
   Purchasing habits

 How data was collected
     Through Facebook status updates, Listservs, word of mouth
     $100 gift card to Amazon.com




                                                                          2
DATA DEMOGRAPHICS

 The data collected showed that we had low sample size for
  three of the five user types.
 We combined three user types to create three groups:
   Info/Spectators
   Update Junkies
   Others (Cruise/App, Impression, Offline)

 Users who participated in the survey were mostly female. And
  mostly consisting within the Update Junkie type.

 For males, there were an even number of users for each
  Facebook type.


                                                                 3
ANALYZING DATA

 Using SPSS
   Multivariate ANOVA tests
   Small batches to see if there variables that are significant or
    approaching significance


 From this data, we took a look at each dependent variable
  that stood out.




                                                                      4
OUR FINDINGS

           Significant Dependent Variables        (p<.05)

Interest in Gadgets                              0.04

Interest in Large Pets                           0.02

Make Purchases from the TV                       0.00

Watch TV Infomercials                            0.02

Watch game shows                                 0.02

Rent Movies at the Store                         0.02

Learns of new products from YouTube              0.00

Learns of new products from Online Commercials   0.03

Learns of new products from a Convention         0.00

Learns of new music from YouTube                 0.03

Learns of new music from their Favorite Artist   0.03
                                                            5
Q: RATE YOUR INTEREST IN
                     THE FOLLOWING

  Gadget

                                                                         Info/Spectators
Large Pet                                                                Update Junkies
                                                                         Others

            0         1           2           3           4        5
                   Rating Scale 1 (Not at all ) – 5 (Extremely)


  Our 3 Facebook groups differ in their level of interest in….
       • Shopping for gadgets and electronics, F(2,51) = 3.30, p = .04
            • Update Junkies/Others, p = .014
       • Owning large Pets, F(2,51) = 3.97, p = .02
            • Info/Others, p = .007
                                                                                      6
Q: HOW LIKELY ARE YOU TO MAKE A
                PURCHASE...



From TV                                                                    Info/Spectators
                                                                           Update Junkies
                                                                           Others

           0          1          2           3          4          5
                  Rating Scale 1 (Not at all ) – 5 (Extremely)


Our 3 Facebook groups differ in likeliness of purchasing their products…
     • From TV, F(2,51) = 6.38, p = .003
          • Info/Others, p = .005
          • Update Junkie/Others, p = .001

                                                                                         7
Q: RATE HOW MUCH YOU FIND THE FOLLOWING
           T V PROGRAM GENRES ENTERTAINING



TV Infomericials

                                                                           Info/Spectators
                                                                           Update Junkies
  Game Shows
                                                                           Others


                   0        1         2          3         4          5
                       Rating Scale 1 (Not at all ) – 5 (Extremely)

 Our 3 Facebook groups differ in finding the following TV genres entertaining…
      • TV Infomercials, F(2,51) = 3.76, p = .03
           • Update Junkies/Others, p = .008
      • Game Shows, F(2,51) = 4.56, p = .02
           • Update Junkies/Others, p = .004
                                                                                        8
Q: HOW LIKELY ARE YOU TO BE INTRODUCED
                TO NEW PRODUCTS FROM...


    Through YouTube

Through OnlineComm                                                                    Info/Spectators
                                                                                      Update Junkies
Through Conventions                                                                   Others

                            0         1          2         3         4         5
                              Rating Scale 1 (Very Unlikely) – 5 (Very Likely)

  Our 3 Facebook groups differ in likeliness of being introduced to new products through..
        • YouTube, F(2,51) = 7.00, p = .002
             • Info/Others, p = .017
             • Update Junkies/Others, p = .000
        • Online Commercials, F(2,51) = 3.74, p = .03
             • Update Junkies/Others, p = .009
        • Conventions, F(2,51) = 11.99, p < .001
             • Info/Others, p=.001
             • Update Junkies/Others, p < .001                                                     9
Q: HOW LIKELY ARE YOU TO LEARN
          ABOUT NEW MUSIC THROUGH...

 Through YouTube

                                                                           Info/Spectators
                                                                           Update Junkies
Through FaveArtist
                                                                           Others

                     0         1         2         3         4        5
                       Rating Scale 1 (Very Unlikely) – 5 (Very Likely)

 Our 3 Facebook groups differ in likelihood of learning about new music through..
      • YouTube, F(2,51) = 3.60, p = .03
           • Info/Others, p = .076
           • Update Junkies/Others, p = .010
      • Favorite Artist, F(2,51) = 5.16, p = .009
           • Info/Others, p = .002
           • Update Junkies/Others, p = .019                                           10
Q: HOW LIKELY ARE YOU TO RENT YOUR MOVIES
                USING THE FOLLOWING METHODS:




Grocery store                                                           Info-only/Spectators
                                                                        Update Junkies
                                                                        Others


                 0         1         2        3         4          5
                     Rating Scale 1 (Not at all) – 5 (Extremely)


•   Our 3 Facebook groups differ in likeliness of renting movies through grocery
    stores, F(2,51) = 10.67, p<.001
      •     Info/Others, p = .002
      •     Updates Junkies/Others, p < .001
                                                                                         11
SPECIFIC FINDINGS

 From our pilot study, this is what we have found regarding the
  Info/Spectators and the Update Junkies

  Facebook User Type   Findings
  Info/Spectators      • Less likely to own a large pet and learn about
                         new music through favorite artist
  Update Junkies       Less likely to:
                       • Purchase products from TV
                       • Watch game shows and infomercials
                       • Rent movies from grocery store
                       • Learn about new products through
                          conventions



                                                                          12
OTHER PROFILES

The three combined Facebook user types (Cruisers/Application
Users, Impression Managers and Of fline Networkers) had the
highest means for all significant data.

   Trends within these three groups is hard to analyze because each are
    very different in their needs in Facebook.

  Facebook User Type    Findings
  Others                More likely to:
                        • Be interested in shopping for gadgets and
                          electronics
                        • Learn about new products through YouTube,
                          online commercials, and conventions
                        • Learn about new music through YouTube and
                          favorite artist
                                                                      13
RECOMMENDATIONS

 Since our n=54 was so small, we need to conduct another
  study with more data to analyze.

 We need to gather a more even distribution of the five
  Facebook User Types.

 Re-evaluate the pilot survey questions and take out questions
  that have no ef fect on each Facebook Type

 Create a new shorter survey to be able to better understand
  how they live and what they purchase and consume.




                                                                14

Mais conteúdo relacionado

Destaque

Facebook Powerpoint
Facebook PowerpointFacebook Powerpoint
Facebook Powerpoint
myra14
 

Destaque (16)

Facebook powerpoint
Facebook powerpointFacebook powerpoint
Facebook powerpoint
 
Facebook Presentation
Facebook PresentationFacebook Presentation
Facebook Presentation
 
Facebook - Strategic Analysis
Facebook - Strategic AnalysisFacebook - Strategic Analysis
Facebook - Strategic Analysis
 
Facebook persantation
Facebook persantationFacebook persantation
Facebook persantation
 
Facebook
FacebookFacebook
Facebook
 
Business Strategy Analysis on Facebook
Business Strategy Analysis on FacebookBusiness Strategy Analysis on Facebook
Business Strategy Analysis on Facebook
 
The advantages and disadvantages from using facebook
The advantages and disadvantages from using facebookThe advantages and disadvantages from using facebook
The advantages and disadvantages from using facebook
 
Facebook Analysis and Study
Facebook Analysis and StudyFacebook Analysis and Study
Facebook Analysis and Study
 
Advantages and Disadvantages of Facebook
Advantages and Disadvantages of FacebookAdvantages and Disadvantages of Facebook
Advantages and Disadvantages of Facebook
 
Facebook ppt
Facebook pptFacebook ppt
Facebook ppt
 
Facebooks Petabyte Scale Data Warehouse using Hive and Hadoop
Facebooks Petabyte Scale Data Warehouse using Hive and HadoopFacebooks Petabyte Scale Data Warehouse using Hive and Hadoop
Facebooks Petabyte Scale Data Warehouse using Hive and Hadoop
 
PPT Presentation on Facebook.com
PPT Presentation on Facebook.comPPT Presentation on Facebook.com
PPT Presentation on Facebook.com
 
Facebook Presentation
Facebook PresentationFacebook Presentation
Facebook Presentation
 
Resume Example
Resume ExampleResume Example
Resume Example
 
Facebook Powerpoint
Facebook PowerpointFacebook Powerpoint
Facebook Powerpoint
 
Does facebook federation have your best interests at heart
Does facebook federation have your best interests at heartDoes facebook federation have your best interests at heart
Does facebook federation have your best interests at heart
 

Último

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
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
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

P.E. fus

  • 1. 5 Facebook’s Five User types What are the other aspects in which these 5 types differ? June 2011 1
  • 2. FACEBOOK’S FIVE USER T YPES  Utilizing data from a previous study by Pyschster Inc. that had established the five major Facebook user types, we wanted to create a pilot study to discover the various aspects in which these groups dif fer.  Facebook User Types  Cruisers/Application Users  Impression Managers  Info/Spectators  Offline Networkers  Update Junkies 1
  • 3. METHOD  Took the results and data from the Psychster study to develop our study  We created a sur vey asking user s to rate their opinions on a five - point scale regarding:  How they live  Demographic data  What media they consume  Purchasing habits  How data was collected  Through Facebook status updates, Listservs, word of mouth  $100 gift card to Amazon.com 2
  • 4. DATA DEMOGRAPHICS  The data collected showed that we had low sample size for three of the five user types.  We combined three user types to create three groups:  Info/Spectators  Update Junkies  Others (Cruise/App, Impression, Offline)  Users who participated in the survey were mostly female. And mostly consisting within the Update Junkie type.  For males, there were an even number of users for each Facebook type. 3
  • 5. ANALYZING DATA  Using SPSS  Multivariate ANOVA tests  Small batches to see if there variables that are significant or approaching significance  From this data, we took a look at each dependent variable that stood out. 4
  • 6. OUR FINDINGS Significant Dependent Variables (p<.05) Interest in Gadgets 0.04 Interest in Large Pets 0.02 Make Purchases from the TV 0.00 Watch TV Infomercials 0.02 Watch game shows 0.02 Rent Movies at the Store 0.02 Learns of new products from YouTube 0.00 Learns of new products from Online Commercials 0.03 Learns of new products from a Convention 0.00 Learns of new music from YouTube 0.03 Learns of new music from their Favorite Artist 0.03 5
  • 7. Q: RATE YOUR INTEREST IN THE FOLLOWING Gadget Info/Spectators Large Pet Update Junkies Others 0 1 2 3 4 5 Rating Scale 1 (Not at all ) – 5 (Extremely) Our 3 Facebook groups differ in their level of interest in…. • Shopping for gadgets and electronics, F(2,51) = 3.30, p = .04 • Update Junkies/Others, p = .014 • Owning large Pets, F(2,51) = 3.97, p = .02 • Info/Others, p = .007 6
  • 8. Q: HOW LIKELY ARE YOU TO MAKE A PURCHASE... From TV Info/Spectators Update Junkies Others 0 1 2 3 4 5 Rating Scale 1 (Not at all ) – 5 (Extremely) Our 3 Facebook groups differ in likeliness of purchasing their products… • From TV, F(2,51) = 6.38, p = .003 • Info/Others, p = .005 • Update Junkie/Others, p = .001 7
  • 9. Q: RATE HOW MUCH YOU FIND THE FOLLOWING T V PROGRAM GENRES ENTERTAINING TV Infomericials Info/Spectators Update Junkies Game Shows Others 0 1 2 3 4 5 Rating Scale 1 (Not at all ) – 5 (Extremely) Our 3 Facebook groups differ in finding the following TV genres entertaining… • TV Infomercials, F(2,51) = 3.76, p = .03 • Update Junkies/Others, p = .008 • Game Shows, F(2,51) = 4.56, p = .02 • Update Junkies/Others, p = .004 8
  • 10. Q: HOW LIKELY ARE YOU TO BE INTRODUCED TO NEW PRODUCTS FROM... Through YouTube Through OnlineComm Info/Spectators Update Junkies Through Conventions Others 0 1 2 3 4 5 Rating Scale 1 (Very Unlikely) – 5 (Very Likely) Our 3 Facebook groups differ in likeliness of being introduced to new products through.. • YouTube, F(2,51) = 7.00, p = .002 • Info/Others, p = .017 • Update Junkies/Others, p = .000 • Online Commercials, F(2,51) = 3.74, p = .03 • Update Junkies/Others, p = .009 • Conventions, F(2,51) = 11.99, p < .001 • Info/Others, p=.001 • Update Junkies/Others, p < .001 9
  • 11. Q: HOW LIKELY ARE YOU TO LEARN ABOUT NEW MUSIC THROUGH... Through YouTube Info/Spectators Update Junkies Through FaveArtist Others 0 1 2 3 4 5 Rating Scale 1 (Very Unlikely) – 5 (Very Likely) Our 3 Facebook groups differ in likelihood of learning about new music through.. • YouTube, F(2,51) = 3.60, p = .03 • Info/Others, p = .076 • Update Junkies/Others, p = .010 • Favorite Artist, F(2,51) = 5.16, p = .009 • Info/Others, p = .002 • Update Junkies/Others, p = .019 10
  • 12. Q: HOW LIKELY ARE YOU TO RENT YOUR MOVIES USING THE FOLLOWING METHODS: Grocery store Info-only/Spectators Update Junkies Others 0 1 2 3 4 5 Rating Scale 1 (Not at all) – 5 (Extremely) • Our 3 Facebook groups differ in likeliness of renting movies through grocery stores, F(2,51) = 10.67, p<.001 • Info/Others, p = .002 • Updates Junkies/Others, p < .001 11
  • 13. SPECIFIC FINDINGS  From our pilot study, this is what we have found regarding the Info/Spectators and the Update Junkies Facebook User Type Findings Info/Spectators • Less likely to own a large pet and learn about new music through favorite artist Update Junkies Less likely to: • Purchase products from TV • Watch game shows and infomercials • Rent movies from grocery store • Learn about new products through conventions 12
  • 14. OTHER PROFILES The three combined Facebook user types (Cruisers/Application Users, Impression Managers and Of fline Networkers) had the highest means for all significant data.  Trends within these three groups is hard to analyze because each are very different in their needs in Facebook. Facebook User Type Findings Others More likely to: • Be interested in shopping for gadgets and electronics • Learn about new products through YouTube, online commercials, and conventions • Learn about new music through YouTube and favorite artist 13
  • 15. RECOMMENDATIONS  Since our n=54 was so small, we need to conduct another study with more data to analyze.  We need to gather a more even distribution of the five Facebook User Types.  Re-evaluate the pilot survey questions and take out questions that have no ef fect on each Facebook Type  Create a new shorter survey to be able to better understand how they live and what they purchase and consume. 14