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‘OPPA Brand Buzz
    Survey’
Research - Results
     Summary




               04/09/2012
Online Professional Publisher
     Association (OPPA)
• Belgian publishers share know-how about the evolution of digital
  content and its influence on journalism.
• Common surveys relevant for publishers, advertisers, institutes, media
  agencies, …
• Defend the importance of online content and branding
Individuals and professionals behind
            content sites




     Source : Internal data
Content sites are an audience success




Source : Metriweb – February 2012
Content sites are mobile leaders




Source : Internal data – February 2012
OPPA Brand Buzz Survey
• In 2011 OPPA did successful research about the correlation between
  trust in content sites and the professionalism and quality of editorial
  teams.

• With the OPPA Brand Buzz Survey we go a step further and investigate
  relationships between brand conversations & OPPA members’ media
  properties. With the OPPA Brand Buzz Survey we give an answer to 3
  questions :


         1. Do content sites generate conversations, and which factors
            drive the conversation ?
         2. What drives those conversations with Belgian visitors?
         3. What do these powerful conversations mean for brands ?
Methodology                      A few statistics…
• Online interviews (CAWI)           •   Completed interviews : 1981
• Duration: 15min
• 1 month field survey , from June   •   Analyzed conversations: 3816
  26 until July 26 2012
                                     •   Total brand mentions: 10689
• Weighted against online Belgian
  population, 15+ (CIM)
                                     •   Analyzed brand mentions: 6328
• Recruiting through bannering on
  OPPA websites
• Research performed by Dialog
  Solutions, in partnership with
  OPPA Research Group
Do content sites generate
conversations and which factors drive
         the conversation?
9 out of 10 visitors talk about brands on a
                regular basis
In the last 7 days, have you had a conversation regarding consumption
(holidays, banking,…) in which a specific brand was mentioned ?




Yes                                                               89,6%




No          10,4%
Advertising and content drive
                                conversations
              Which source(s) lead(s) you or your interlocutor to have a conversation
                      regarding « Category X » ? (Several possible answers)

                                                A past purchase                                25%

                        An experience with this product/service                              23%

                                              A future purchase                              23%

                                                           An ad                       20%

                                A close acquaintance initiated it                15%

                             Content on the Internet (article,…)           12%

          The press, television or radio (except linked websites)         11%

                                            No particular reason         10%

                                                    I don't know    1%


n= 3816
Content sites rank as 1st digital source of
                     conversations
                 If it was an advertisment, through what medium/media was it
                              presented (multiple answers possible) ?
      Magazine or newspaper                                                  36%
                 On television                                         19%
                 Content Sites                                   17%
                     By email                              12%
On a bilboard/street publicity                        7%
               Brand website                     5%
                 On the radio               4%
                 E-commerce             4%
                 Social media           4%
                  Web portal            4%
        Online classifieds site        3%
                Video website     1%
              Forums or blogs     1%


n= 718
Content sites encourage conversation
                      straightaway
     How do you communicate about                       On which website(s) do you communicate
               brands ?                                          online about brands ?

                                                           Content sites                            58%
            During an oral
                                             86,6%
            conversation
                                                            Social media                    40,2%

                                                        Forums or blogs              30,0%
   By email, text message,
                                     43,5%
        telephone
                                                            Web portals              29,4%

                                                         Brand websites             27,6%
     On Internet websites           35%
                                                            E-commerce             23,4%

                                                     Classifieds websites   9,0%
    Via instant messaging    9,5%
                                                         Video websites     8,2%


n= 1981                                              n= 693
Sites where content is written by
   journalists create reasons for
consumers to talk about brands and
            create buzz
What drives these
conversations with
 Belgian visitors ?
Content sites visitors’ interests span
               multiple categories
For which category/categories of products do you consider yourself to have a particular interest that is greater than
                                     average ? (Max. 3 answers) – TOP 5 only




          Food products                            48,1%                Food products                          38,7%


               Holidays                         45,4%                         Holidays                         36,8%


                Fashion                    34,5%               Internet / Telecom / TV                     30,4%


 Beauty products/shops                24,1%                      Consumer technology                   23,9%


          Supermarkets               22,5%                                      Energy                 23,4%


n= 1981
Content sites attract opinion leaders
 Recommend brands very often or often                           Get called for recommendations almost always/often


                                                                 Content sites' regular
 Content sites' regular users              51%             OR           users
                                                                                                   23%          54%


                                                                    Content sites' light
   Content sites' light users           40%                                                  12%
                                                                          users



Talk about new products/services before/after purchase          Initiate or contribute to conversations about brands



 Content sites' regular users                          90% Content sites' regular users                            89%




    Content sites' light users                   73%            Content sites' light users                      75%




n= 1981
Note: OPPA regular users go to OPPA sites multiple times
per week, light users less
The majority of conversations are positive
                                                How was “Brand X” mentioned ?
              Household Products                       55,8%                           31,0%              8,8% 1,9% 2,5%

                 Beauty Products                   47,2%                             40,7%                10,3% 0 1,8%

                    Food Products                 42,9%                        37,3%               13,0% 5,5% 1,3%

 Drinks (soft drinks, alcohol etc…)              40,9%                       36,1%                14,5%        7,6% 0,9%

                              Cars               40,8%                        39,2%                12,2% 6,1% 1,6%
                                                                                                                             Very positively
           Consumer Technology                 34,5%                        44,4%                      17,1%    3,2% 0,9%
                                                                                                                             Positively
                          Fashion         29,2%                        49,7%                           16,8%    3,8% 0,4%

                          Holidays        29,0%                      41,1%                      23,8%          5,4% 0,6%     Neither positively nor
                                                                                                                             negatively
                    Supermarkets          27,8%                     42,0%                      19,3%       8,5%       2,3%
                                                                                                                             Negatively
            Decoration/Furniture          26,5%                     42,9%                        26,6%          3,6% 0,4%
                                                                                                                             Very negatively
               Banking/Insurance       18,3%                30,4%             24,2%             18,8%          8,3%

                           Energy      17,1%               29,1%             26,0%              19,8%          8,0%

            Internet/Telecom/TV       13,8%                38,8%                22,9%            17,4%         7,2%



n= 6328
Most conversations drive change
What was the aim of the conversation regarding « Brand X »
             (multiple responses possible) ?

    Convince to buy a product/service                                  22,7%   29% of conversations
                                                                               aim to CONVINCE
 Convince not to buy a product/service      6,5%                               others

    Inform others on a product/service
                                                                               35% of conversations
                                                                   19,6%
                                                                               aim to INFORM OR
    Get informed on a product/service                      16,0%
                                                                               GET INFORMED

                                                                               11% aim to get
       Get advice on a product/service             11,0%
                                                                               ADVICE
   The brand was mentionned with no
          particular intention
                                                                   19,6%       25% are neutral or
                                                                               have other purposes
                                Other    4,6%



n= 6328
Content sites
attract opinion
leaders, always
willing to advice
    others and
  sharing their
      brand
  experience,
 which makes
   them brand
 ambassadors
What do these powerful
conversations mean for brands ?
Conversations spread along the whole
             purchase funnel
  What was the conversation about « Category X » regarding ? (3 answers max)
                                Fashion            48%                       50%                  20%        11% 1%

                  Decoration/Furniture                    76%                       16%        12% 12%       5%
                                                                                                                           Regarding a future purchase
                 Consumer Technoogy                     63%                       27%      12% 13%           6%

                       Beauty Products            44%                   45%                    22%           25%      2%
                                                                                                                           Regarding a past purchase
                                Holidays            53%                     31%           16%     13% 4%

                                    Cars            55%                     27%          18%      17%        6%
                                                                                                                           Regarding a seen or heard ad
                         Food Products            41%                 37%                 28%              29%        4%

          Drinks (soft drinks, alcohol,…)     35%                33%                29%                34%         4%
                                                                                                                           Regarding the use of a product
                   Household products        30%                38%                 31%                31%         1%      or service without any
                                                                                                                           particular aim
                         Supermarkets         34%               30%                35%               22%     8%
                                                                                                                           After a contact with a service
                Internet / Telecom / TV      29%          18%         22%                39%           13%                 (sale, customer service,…)

                                 Energy     22%         18%     17%           38%                18%

                   Banking/ Insurances      25%         13%   17%                 45%             17%



n= 3816
Many brands shine in the survey
                              Top 3 positive brand mentions by category

Food                  Drink                     Beauty                   Bank/Insurance          Energy
•    Knorr            •        Nespresso        •       Yves Rocher      •       Record Bank     •   Lampiris
•    Leonidas         •        Duvel            •       Dove             •       Rabobank        •   Essent
•    Ijsboerke        •        Lipton Ice Tea   •       Estee Lauder     •       Keytrade Bank   •   Aardgas

Clothes                   Furniture/                Cars                     Internet/Telecom    Consumer Tech
                          Decoration                                         /TV                 •   Sony
•   Geox                                            •    Audi                                        Playstation
                          •     Gamma                                        •    Base
•   Esprit                •     Brico Planit        •    Ford                •    Proximus       •   Sony
•   C&A                                             •    VW                  •    Mobistar       •   Samsung
                          •     Hubo

Supermarkets              Household             Holidays
•   O’Cool
                          Products              •       MSC Croisières
                          •     Dreft
•   Colruyt                                     •       Sunjets
                          •     Ecover
•   Albert Heijn          •     Ariel           •       Jetair

Ranking criteria: Brands with most positive mentions among brands
most mentioned in category
Buzz & Ambassadorship maps
                      establish a brand benchmark
                                  BUZZ MAP
           POSITIVE                                            Is a brand generating buzz ? How much &
                       LATENT                  GOOD            how strong compared to its competitors ? Is
TONE                   BUZZ                    BUZZ            word of mouth entirely positive or mixed ?
OF         NEUTRAL
VOICE
                       DEATH                   MIXED           Map explanation:
                                                               Tone of voice: tone of the brand mentions in the past
           NEGATIVE
                       ZONE                    BUZZ            conversations
                                                               Intensity: number of mentions
                      LOW                             HIGH
                                INTENSITY (VOLUME)



                         AMBASSADORSHIP MAP                    Are brand ambassadors doing the talking or
            HIGH                                               non-clients bashing brands ? How do brands
                       ADMIRERS                AMBAS-          compare within each category ?
                                               SADORS
NET PRO-                                                        Map explanation:
MOTION                                                          Net promotion: % who persuade minus % who dissuade,
                       IMAGE                   WARNING          compared vs peers
                                                                Who is talking: clients, non clients, or mix
            LOW
                       KILLERS                 GIVERS
                      NON-                           CLIENTS
                      CLIENTS        WHO IS
                                     TALKING
Buzz Map
                   Which brands are creating the conversations?
                   (Summary at category level)
                   LATENT BUZZ                                              GOOD BUZZ
    POSITIVE
                                     BEAUTY                                                   •   Negative correlation
                      HOUSEHOLD PRODUCTS                                                          between tone and
                                                                                                  intensity
                                                    CARS                    FOOD
                                                                                              •   Services provoke more
                                      CONSUMER TECH FASHION
                                                                                                  conversations yet are
                                                                 DRINKS                           prone to negative
TONE
                                              FURNITURE SUPERMARKETS               HOLIDAYS
OF                                                                                                feedback
VOICE                                                                                         •   Products (apart from
                                                                                                  food & drinks) incite
                                                  INTERNET/TELECOM/TV
                                                                                                  less, yet positive,
                                                             BANKING/INSURANCE
                                                                                                  conversations.
                                                                   ENERGY


        NEGATIVE   DEATH ZONE                                               MIXED BUZZ
                    LOW                                                             HIGH
                                              INTENSITY (VOLUME)


  n= 6328
  Note: position on graph show relative
  performance vs other categories
Ambassadorship map
             Who is talking & why ? (Summay at category level)
   HIGH        ADMIRERS                                                AMBASSADORS
                                                                 HOUSEHOLD PRODUCTS          •   Positive correlation:
                                                                                                 ambassadorship and
                                                                          BEAUTY                 client base
                                                                       FOOD                  •   Considered
                                                                              SUPERMARKETS       goods/services
                                                                                                 generate
                                   CONSUMER TECH FURNITURE/DECORATION                            conversations from
NET
PROMOTION                                                    FASHION                             non clients to gain
                  CARS        HOLIDAYS
                                                                                                 information about
                                                                                                 the product before
                                                                                                 purchase.
                                             INTERNET/TELECOM/TV
                                                                                             •   Everyday       goods
                                    BANKING/INSURANCE                                            generate
                                                                                                 conversations mostly
                                   ENERGY                                                        from clients
   LOW
               IMAGE KILLERS                                     WARNING GIVERS
                NON-CLIENTS                      MIX                             CLIENTS
                                            WHO IS TALKING


  n= 6328
  Note: position on graph show relative
  performance vs other categories
Visitors of content sites
  have an influence on
brands during the whole
 purchase funnel, from
 awareness to purchase
     and advocacy
1. Qualitative content sites create reasons for consumers to
   talk about brands, which allows marketers to reach highly
   engaged targets through advertising in a premium
   environment.

2. 1 out of 2 visitors are opinion leaders, highly influenced by
   brand experiences when talking about brands. Content
   sites are able to intensify brand experience.

3. Content sites play an important role during the whole
   purchase funnel, from awareness to purchase and
   advocacy.
THANKYOU
Siska Truyman – OPPA Coordinator
Siska.truyman@theppress.be
+32 (0) 497 03 91 22
www.twitter.com/OPPAbelgium

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Oppa brand buzz survey

  • 1. ‘OPPA Brand Buzz Survey’ Research - Results Summary 04/09/2012
  • 2. Online Professional Publisher Association (OPPA) • Belgian publishers share know-how about the evolution of digital content and its influence on journalism. • Common surveys relevant for publishers, advertisers, institutes, media agencies, … • Defend the importance of online content and branding
  • 3. Individuals and professionals behind content sites Source : Internal data
  • 4. Content sites are an audience success Source : Metriweb – February 2012
  • 5. Content sites are mobile leaders Source : Internal data – February 2012
  • 6. OPPA Brand Buzz Survey • In 2011 OPPA did successful research about the correlation between trust in content sites and the professionalism and quality of editorial teams. • With the OPPA Brand Buzz Survey we go a step further and investigate relationships between brand conversations & OPPA members’ media properties. With the OPPA Brand Buzz Survey we give an answer to 3 questions : 1. Do content sites generate conversations, and which factors drive the conversation ? 2. What drives those conversations with Belgian visitors? 3. What do these powerful conversations mean for brands ?
  • 7. Methodology A few statistics… • Online interviews (CAWI) • Completed interviews : 1981 • Duration: 15min • 1 month field survey , from June • Analyzed conversations: 3816 26 until July 26 2012 • Total brand mentions: 10689 • Weighted against online Belgian population, 15+ (CIM) • Analyzed brand mentions: 6328 • Recruiting through bannering on OPPA websites • Research performed by Dialog Solutions, in partnership with OPPA Research Group
  • 8. Do content sites generate conversations and which factors drive the conversation?
  • 9. 9 out of 10 visitors talk about brands on a regular basis In the last 7 days, have you had a conversation regarding consumption (holidays, banking,…) in which a specific brand was mentioned ? Yes 89,6% No 10,4%
  • 10. Advertising and content drive conversations Which source(s) lead(s) you or your interlocutor to have a conversation regarding « Category X » ? (Several possible answers) A past purchase 25% An experience with this product/service 23% A future purchase 23% An ad 20% A close acquaintance initiated it 15% Content on the Internet (article,…) 12% The press, television or radio (except linked websites) 11% No particular reason 10% I don't know 1% n= 3816
  • 11. Content sites rank as 1st digital source of conversations If it was an advertisment, through what medium/media was it presented (multiple answers possible) ? Magazine or newspaper 36% On television 19% Content Sites 17% By email 12% On a bilboard/street publicity 7% Brand website 5% On the radio 4% E-commerce 4% Social media 4% Web portal 4% Online classifieds site 3% Video website 1% Forums or blogs 1% n= 718
  • 12. Content sites encourage conversation straightaway How do you communicate about On which website(s) do you communicate brands ? online about brands ? Content sites 58% During an oral 86,6% conversation Social media 40,2% Forums or blogs 30,0% By email, text message, 43,5% telephone Web portals 29,4% Brand websites 27,6% On Internet websites 35% E-commerce 23,4% Classifieds websites 9,0% Via instant messaging 9,5% Video websites 8,2% n= 1981 n= 693
  • 13. Sites where content is written by journalists create reasons for consumers to talk about brands and create buzz
  • 14. What drives these conversations with Belgian visitors ?
  • 15. Content sites visitors’ interests span multiple categories For which category/categories of products do you consider yourself to have a particular interest that is greater than average ? (Max. 3 answers) – TOP 5 only Food products 48,1% Food products 38,7% Holidays 45,4% Holidays 36,8% Fashion 34,5% Internet / Telecom / TV 30,4% Beauty products/shops 24,1% Consumer technology 23,9% Supermarkets 22,5% Energy 23,4% n= 1981
  • 16. Content sites attract opinion leaders Recommend brands very often or often Get called for recommendations almost always/often Content sites' regular Content sites' regular users 51% OR users 23% 54% Content sites' light Content sites' light users 40% 12% users Talk about new products/services before/after purchase Initiate or contribute to conversations about brands Content sites' regular users 90% Content sites' regular users 89% Content sites' light users 73% Content sites' light users 75% n= 1981 Note: OPPA regular users go to OPPA sites multiple times per week, light users less
  • 17. The majority of conversations are positive How was “Brand X” mentioned ? Household Products 55,8% 31,0% 8,8% 1,9% 2,5% Beauty Products 47,2% 40,7% 10,3% 0 1,8% Food Products 42,9% 37,3% 13,0% 5,5% 1,3% Drinks (soft drinks, alcohol etc…) 40,9% 36,1% 14,5% 7,6% 0,9% Cars 40,8% 39,2% 12,2% 6,1% 1,6% Very positively Consumer Technology 34,5% 44,4% 17,1% 3,2% 0,9% Positively Fashion 29,2% 49,7% 16,8% 3,8% 0,4% Holidays 29,0% 41,1% 23,8% 5,4% 0,6% Neither positively nor negatively Supermarkets 27,8% 42,0% 19,3% 8,5% 2,3% Negatively Decoration/Furniture 26,5% 42,9% 26,6% 3,6% 0,4% Very negatively Banking/Insurance 18,3% 30,4% 24,2% 18,8% 8,3% Energy 17,1% 29,1% 26,0% 19,8% 8,0% Internet/Telecom/TV 13,8% 38,8% 22,9% 17,4% 7,2% n= 6328
  • 18. Most conversations drive change What was the aim of the conversation regarding « Brand X » (multiple responses possible) ? Convince to buy a product/service 22,7% 29% of conversations aim to CONVINCE Convince not to buy a product/service 6,5% others Inform others on a product/service 35% of conversations 19,6% aim to INFORM OR Get informed on a product/service 16,0% GET INFORMED 11% aim to get Get advice on a product/service 11,0% ADVICE The brand was mentionned with no particular intention 19,6% 25% are neutral or have other purposes Other 4,6% n= 6328
  • 19. Content sites attract opinion leaders, always willing to advice others and sharing their brand experience, which makes them brand ambassadors
  • 20. What do these powerful conversations mean for brands ?
  • 21. Conversations spread along the whole purchase funnel What was the conversation about « Category X » regarding ? (3 answers max) Fashion 48% 50% 20% 11% 1% Decoration/Furniture 76% 16% 12% 12% 5% Regarding a future purchase Consumer Technoogy 63% 27% 12% 13% 6% Beauty Products 44% 45% 22% 25% 2% Regarding a past purchase Holidays 53% 31% 16% 13% 4% Cars 55% 27% 18% 17% 6% Regarding a seen or heard ad Food Products 41% 37% 28% 29% 4% Drinks (soft drinks, alcohol,…) 35% 33% 29% 34% 4% Regarding the use of a product Household products 30% 38% 31% 31% 1% or service without any particular aim Supermarkets 34% 30% 35% 22% 8% After a contact with a service Internet / Telecom / TV 29% 18% 22% 39% 13% (sale, customer service,…) Energy 22% 18% 17% 38% 18% Banking/ Insurances 25% 13% 17% 45% 17% n= 3816
  • 22. Many brands shine in the survey Top 3 positive brand mentions by category Food Drink Beauty Bank/Insurance Energy • Knorr • Nespresso • Yves Rocher • Record Bank • Lampiris • Leonidas • Duvel • Dove • Rabobank • Essent • Ijsboerke • Lipton Ice Tea • Estee Lauder • Keytrade Bank • Aardgas Clothes Furniture/ Cars Internet/Telecom Consumer Tech Decoration /TV • Sony • Geox • Audi Playstation • Gamma • Base • Esprit • Brico Planit • Ford • Proximus • Sony • C&A • VW • Mobistar • Samsung • Hubo Supermarkets Household Holidays • O’Cool Products • MSC Croisières • Dreft • Colruyt • Sunjets • Ecover • Albert Heijn • Ariel • Jetair Ranking criteria: Brands with most positive mentions among brands most mentioned in category
  • 23. Buzz & Ambassadorship maps establish a brand benchmark BUZZ MAP POSITIVE Is a brand generating buzz ? How much & LATENT GOOD how strong compared to its competitors ? Is TONE BUZZ BUZZ word of mouth entirely positive or mixed ? OF NEUTRAL VOICE DEATH MIXED Map explanation: Tone of voice: tone of the brand mentions in the past NEGATIVE ZONE BUZZ conversations Intensity: number of mentions LOW HIGH INTENSITY (VOLUME) AMBASSADORSHIP MAP Are brand ambassadors doing the talking or HIGH non-clients bashing brands ? How do brands ADMIRERS AMBAS- compare within each category ? SADORS NET PRO- Map explanation: MOTION Net promotion: % who persuade minus % who dissuade, IMAGE WARNING compared vs peers Who is talking: clients, non clients, or mix LOW KILLERS GIVERS NON- CLIENTS CLIENTS WHO IS TALKING
  • 24. Buzz Map Which brands are creating the conversations? (Summary at category level) LATENT BUZZ GOOD BUZZ POSITIVE BEAUTY • Negative correlation HOUSEHOLD PRODUCTS between tone and intensity CARS FOOD • Services provoke more CONSUMER TECH FASHION conversations yet are DRINKS prone to negative TONE FURNITURE SUPERMARKETS HOLIDAYS OF feedback VOICE • Products (apart from food & drinks) incite INTERNET/TELECOM/TV less, yet positive, BANKING/INSURANCE conversations. ENERGY NEGATIVE DEATH ZONE MIXED BUZZ LOW HIGH INTENSITY (VOLUME) n= 6328 Note: position on graph show relative performance vs other categories
  • 25. Ambassadorship map Who is talking & why ? (Summay at category level) HIGH ADMIRERS AMBASSADORS HOUSEHOLD PRODUCTS • Positive correlation: ambassadorship and BEAUTY client base FOOD • Considered SUPERMARKETS goods/services generate CONSUMER TECH FURNITURE/DECORATION conversations from NET PROMOTION FASHION non clients to gain CARS HOLIDAYS information about the product before purchase. INTERNET/TELECOM/TV • Everyday goods BANKING/INSURANCE generate conversations mostly ENERGY from clients LOW IMAGE KILLERS WARNING GIVERS NON-CLIENTS MIX CLIENTS WHO IS TALKING n= 6328 Note: position on graph show relative performance vs other categories
  • 26. Visitors of content sites have an influence on brands during the whole purchase funnel, from awareness to purchase and advocacy
  • 27. 1. Qualitative content sites create reasons for consumers to talk about brands, which allows marketers to reach highly engaged targets through advertising in a premium environment. 2. 1 out of 2 visitors are opinion leaders, highly influenced by brand experiences when talking about brands. Content sites are able to intensify brand experience. 3. Content sites play an important role during the whole purchase funnel, from awareness to purchase and advocacy.
  • 28. THANKYOU Siska Truyman – OPPA Coordinator Siska.truyman@theppress.be +32 (0) 497 03 91 22 www.twitter.com/OPPAbelgium