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Identifying Advocates

                                            How to use your database
                                        to identify and manage advocates



                                        An Approach for Membership Organisations




                                              Michael Collins         BA (Hons), DipM, MCIM, FIDM

                                              Managing Consultant - Database Marketing Counsel
                                              Visiting University Lecturer in Database Marketing & CRM
@dmcounsel Database Marketing Counsel                                               © Michael Collins 2001-12. All rights reserved.
Considering Advocacy
          • Organisations have the ability to build and
                nurture advocacy tactics from within their own
                membership data
          • Considering members’ overall relationships with
                the organisation will assist in creating a
                membership journey that delivers advocates




@dmcounsel Database Marketing Counsel              © Michael Collins 2001-12. All rights reserved.
Considering Advocacy
          • Two types of advocacy

                 —    Active advocacy
                 —    Passive advocacy
          • Both can be managed through your database or
                MRM




@dmcounsel Database Marketing Counsel             © Michael Collins 2001-12. All rights reserved.
Active Advocacy

 • Active advocacy is where the satisfied or engaged
       member will recommend the organisation to their
       peers and wider acquaintances
      Word of mouth
        —

    — Member-get-member

    — Peer-to-peer referrals

    — Viral marketing

    — Social networking

 • The member actively, consciously makes the referral




@dmcounsel Database Marketing Counsel                     © Michael Collins 2001-12. All rights reserved.
Passive Advocacy
       • Using member insight to facilitate
         — the 'cloning' of new members

         — journeys for existing members


       • Who is likely to appreciate similar status and
            services and so behave in a similar manner
              —   Behavioural
              —   Profiles
              —   History
       • The members are not intentionally advocating
       • Their compliance with peers’ behaviour can be
            used as a template for other members’ journeys

@dmcounsel Database Marketing Counsel                  © Michael Collins 2001-12. All rights reserved.
Application of Data

          All of this can achieved by
          • collecting and maintaining the right data about
                members
          • engaging them in a relationship and progressing
                to advocacy
          • fusing research data against the membership
                database to enrich the segmentation and
                selection


@dmcounsel Database Marketing Counsel                     © Michael Collins 2001-12. All rights reserved.
Application of Data



                                        There are typically 5 types of
                                                 Constituent




@dmcounsel Database Marketing Counsel                              © Michael Collins 2001-12. All rights reserved.
1. The hangers-on



    Non-performers who do not
    (yet) appreciate the inherent
    benefits of their relationship with
    the organisation, although are
    often registered members




@dmcounsel Database Marketing Counsel                       © Michael Collins 2001-12. All rights reserved.
2. One Man Bands


     Constituents who
     make limited use of
     their membership or
     other relationship,
     but only when
                                                                                      GO!
     prompted




@dmcounsel Database Marketing Counsel                      © Michael Collins 2001-12. All rights reserved.
3. The would-be silent majority


                                         Whilst aware of the
                                         benefits, they need a
                                         unifying effort to bring
                                         them about




@dmcounsel Database Marketing Counsel                © Michael Collins 2001-12. All rights reserved.
4. The Leaders



      Constituents who identify
      and maximise every
      opportunity open to them in
      a disciplined manner.
      These tend to be the ‘gold
      card holders’ – the key
      active advocates.



@dmcounsel Database Marketing Counsel                    © Michael Collins 2001-12. All rights reserved.
5. The Manipulators.........



   These members milk the
   membership for all it's
   worth often to deliver
   status or feed their own
   aspirations…but can be
   valuable advocates




@dmcounsel Database Marketing Counsel                     © Michael Collins 2001-12. All rights reserved.
Application of Data



                      These 5 types of Constituent
                                    need to be identified




@dmcounsel Database Marketing Counsel                     © Michael Collins 2001-12. All rights reserved.
What’s the benefit of
           applying research to the database?

          How do you understand your members?
            How can you identify ‘advocates’?




@dmcounsel Database Marketing Counsel   © Michael Collins 2001-12. All rights reserved.
What’s the benefit of
           applying research to the database?

          How do you understand your members?
            How can you identify ‘advocates’?




@dmcounsel Database Marketing Counsel   © Michael Collins 2001-12. All rights reserved.
The Classic Strategic Circle

                                                COMMUNICATIO
                                                N
     TUNE STRATEGY

                                          DATABASE
                                                      RESPONSE



                               ANALYSE
                               RESPONSE


@dmcounsel Database Marketing Counsel                © Michael Collins 2001-12. All rights reserved.
The New Strategic Circle
                                              BROAD RANGE OF
                                              COMMUNICATION
                                              MEDIA

     AUTOMATION

                                        DATABASE   CONTROLLED
                                                    RESPONSE


           INTERPRET,
           ANALYSE
                                                  UNCONTROLLED
                                               RESPONSE, NEW DATA,
                                               INTELLIGENCE, SOCIAL
@dmcounsel Database Marketing Counsel               © Michael Collins 2001-12. All rights reserved.
Behaviour                  Profile       Personal
                Longevity
                 Queries                Demographics   Psychographics
                Responses                  Career         Attitudes
               Contributions              Interests      Aspirations
                Complaints                              Preferences




                                        Advocates




    Retention                            Cloning          Acquisition
@dmcounsel Database Marketing Counsel                  © Michael Collins 2001-12. All rights reserved.
Personal members
                                         Demographics




       Age Gender Education Income Geography Job




@dmcounsel Database Marketing Counsel                   © Michael Collins 2001-12. All rights reserved.
Personal members
                                               Behaviour




         Aged 35-40,
         Manager, Earns                  Aged 25,            IT manager, Male,                     Small Business
         £50k+, Male,                    Graduate trainee    Aged 40, married,                                 Owner,
         Married, a                      within a member     customer for over                     employs specialist
         member for 15                   company. Why is     10 years …Why                         staff
         years …. Has                    she not referring   does he                               …. But why does
         introduced 10                   any of her          recommend our                         he not take out a
         new members                     course-mates?       training but has                      corporate
         and runs events                                     never become a                        membership and
         in his workplace                                    member?                               offer the benefits
                                                                                                   to the workforce?
@dmcounsel Database Marketing Counsel                                        © Michael Collins 2001-12. All rights reserved.
Personal members




     Although demographically they may appear to share

     a similar profile, we see that they behave differently



@dmcounsel Database Marketing Counsel                  © Michael Collins 2001-12. All rights reserved.
Personal members
     Psychographics – the missing element



                                  Attitudes
                                Aspirations
                                  Self-view
                            Value of Membership
                        How they see the Organisation

     Determined from research
@dmcounsel Database Marketing Counsel           © Michael Collins 2001-12. All rights reserved.
How do you add the psychographic
                   dimension to your database?




@dmcounsel Database Marketing Counsel     © Michael Collins 2001-12. All rights reserved.
How do you add the psychographic
                   dimension to your database?

                   By fusing research data with your
                           membership data




@dmcounsel Database Marketing Counsel        © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process


                                                       EVENTS
                           BRING ALL DATA           MEMBERS
                           INTO ONE                 STUDENTS
                           PLACE…. CREATE
                           AN ANALYSIS           CUSTOMERS
                           UNIVERSE OR A        WEB/SOCIAL
                           DATA MART
                                               TRANSACTIONS
                                               TRANSACTIONS




@dmcounsel Database Marketing Counsel           © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process
     Review your data
                                             Names
     Identify and fix data quality issues    Addresses
                                             Postcodes
                                             Source
                             Your            Membership history
                             Data            Campaign history
                                             Response history
                           (Members,         Purchase history
                           customers &
                           Transactions)     Enquiries
                                             Complaints
                                             Referrals
                                             Acquired data
@dmcounsel Database Marketing Counsel            © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process
      Identify any requirement for                Demographics
                                                  Interests
      enhancement & enrichment…
                                                  Business qualification



                             Your
                             Data

                          (Members,
                          customers &      External
                          Transactions)
                                          Qualification
                                          (Demographics &
                                           Classifications)

@dmcounsel Database Marketing Counsel                 © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process
 Mine your data and create your            Define the differences in
                                           behaviour between the
 ‘communities’                             communities and determine your
                                           “GOLDEN QUESTIONS” to
                                           drive research


                             Your
                             Data

                          (Members,
                          customers &      External
                          Transactions)
                                          Qualification
                                          (Demographics &
                                           Classifications)

@dmcounsel Database Marketing Counsel                 © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process
                                          Targeted
                                                                                Often several
  Bespoke                                 Research                              variations on
                                                                                the survey to
  research                                (Attitudes &                          target the
                                          Aspirations)                          golden
                                                                                questions

                             Your
                             Data

                          (Members,
                          customers &          External
                          Transactions)
                                              Qualification
                                               (Demographics &
                                                Classifications)

@dmcounsel Database Marketing Counsel                      © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process
                                          Targeted
 Match survey
                                          Research
 outcome back to                          (Attitudes &
 database                                 Aspirations)


                             Your
                             Data

                          (Members,
                          customers &          External
                          Transactions)
                                              Qualification
                                               (Demographics &
                                                Classifications)

@dmcounsel Database Marketing Counsel                      © Michael Collins 2001-12. All rights reserved.
The Data Fusion Process
                                          Targeted
 Re-run the mining
                                          Research
                                          (Attitudes &
                                          Aspirations)


                             Your
                             Data

                          (Members,
                          customers &          External
                          Transactions)
                                              Qualification
                                               (Demographics &
                                                Classifications)

@dmcounsel Database Marketing Counsel                      © Michael Collins 2001-12. All rights reserved.
Psychographics
             Adding to your database from research
       • Address the customer segments with “golden
            questions”
       • Research data can be both discrete and general

       • If research is discrete then it can be matched back
            to the subject
       • This will provide specific qualification criteria for
            those who respond ….
       • …. and information that can be extrapolated across
            other similar subjects, to fine tune the profiles

@dmcounsel Database Marketing Counsel                    © Michael Collins 2001-12. All rights reserved.
Who are potential active advocates?
      • Committed members who have referred in the past

      • Members whose attitude and behaviour reflects satisfaction

      • Satisfied customers for training or publications

      • Bloggers or complimentary contributors to the organisation’s
           chat-rooms and forums or industry social media whose score
           or profile supports their sentiments
      • Proven committed members and customers who have
           registered testimonials that can be used in marketing activity
           Invite these people to participate at a higher level
      Include them as the first wave for any viral marketing activity


@dmcounsel Database Marketing Counsel                  © Michael Collins 2001-12. All rights reserved.
Who are potential passive advocates?




• Invoke a process of ‘cloning’ – clone the             best
  members and most profitable                 customers – DM’ers
  did it before Dolly the Sheep

• They will act as advocates without being aware
  of it!
 @dmcounsel Database Marketing Counsel                   © Michael Collins 2001-12. All rights reserved.
Thank You



                                www.dmcounsel.co.uk

@dmcounsel Database Marketing Counsel               © Michael Collins 2001-12. All rights reserved.

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Identifying Advocates from Your Membership Database

  • 1. Identifying Advocates How to use your database to identify and manage advocates An Approach for Membership Organisations Michael Collins BA (Hons), DipM, MCIM, FIDM Managing Consultant - Database Marketing Counsel Visiting University Lecturer in Database Marketing & CRM @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 2. Considering Advocacy • Organisations have the ability to build and nurture advocacy tactics from within their own membership data • Considering members’ overall relationships with the organisation will assist in creating a membership journey that delivers advocates @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 3. Considering Advocacy • Two types of advocacy — Active advocacy — Passive advocacy • Both can be managed through your database or MRM @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 4. Active Advocacy • Active advocacy is where the satisfied or engaged member will recommend the organisation to their peers and wider acquaintances Word of mouth — — Member-get-member — Peer-to-peer referrals — Viral marketing — Social networking • The member actively, consciously makes the referral @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 5. Passive Advocacy • Using member insight to facilitate — the 'cloning' of new members — journeys for existing members • Who is likely to appreciate similar status and services and so behave in a similar manner — Behavioural — Profiles — History • The members are not intentionally advocating • Their compliance with peers’ behaviour can be used as a template for other members’ journeys @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 6. Application of Data All of this can achieved by • collecting and maintaining the right data about members • engaging them in a relationship and progressing to advocacy • fusing research data against the membership database to enrich the segmentation and selection @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 7. Application of Data There are typically 5 types of Constituent @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 8. 1. The hangers-on Non-performers who do not (yet) appreciate the inherent benefits of their relationship with the organisation, although are often registered members @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 9. 2. One Man Bands Constituents who make limited use of their membership or other relationship, but only when GO! prompted @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 10. 3. The would-be silent majority Whilst aware of the benefits, they need a unifying effort to bring them about @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 11. 4. The Leaders Constituents who identify and maximise every opportunity open to them in a disciplined manner. These tend to be the ‘gold card holders’ – the key active advocates. @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 12. 5. The Manipulators......... These members milk the membership for all it's worth often to deliver status or feed their own aspirations…but can be valuable advocates @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 13. Application of Data These 5 types of Constituent need to be identified @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 14. What’s the benefit of applying research to the database? How do you understand your members? How can you identify ‘advocates’? @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 15. What’s the benefit of applying research to the database? How do you understand your members? How can you identify ‘advocates’? @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 16. The Classic Strategic Circle COMMUNICATIO N TUNE STRATEGY DATABASE RESPONSE ANALYSE RESPONSE @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 17. The New Strategic Circle BROAD RANGE OF COMMUNICATION MEDIA AUTOMATION DATABASE CONTROLLED RESPONSE INTERPRET, ANALYSE UNCONTROLLED RESPONSE, NEW DATA, INTELLIGENCE, SOCIAL @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 18. Behaviour Profile Personal Longevity Queries Demographics Psychographics Responses Career Attitudes Contributions Interests Aspirations Complaints Preferences Advocates Retention Cloning Acquisition @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 19. Personal members Demographics Age Gender Education Income Geography Job @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 20. Personal members Behaviour Aged 35-40, Manager, Earns Aged 25, IT manager, Male, Small Business £50k+, Male, Graduate trainee Aged 40, married, Owner, Married, a within a member customer for over employs specialist member for 15 company. Why is 10 years …Why staff years …. Has she not referring does he …. But why does introduced 10 any of her recommend our he not take out a new members course-mates? training but has corporate and runs events never become a membership and in his workplace member? offer the benefits to the workforce? @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 21. Personal members Although demographically they may appear to share a similar profile, we see that they behave differently @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 22. Personal members Psychographics – the missing element Attitudes Aspirations Self-view Value of Membership How they see the Organisation Determined from research @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 23. How do you add the psychographic dimension to your database? @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 24. How do you add the psychographic dimension to your database? By fusing research data with your membership data @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 25. The Data Fusion Process EVENTS BRING ALL DATA MEMBERS INTO ONE STUDENTS PLACE…. CREATE AN ANALYSIS CUSTOMERS UNIVERSE OR A WEB/SOCIAL DATA MART TRANSACTIONS TRANSACTIONS @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 26. The Data Fusion Process Review your data Names Identify and fix data quality issues Addresses Postcodes Source Your Membership history Data Campaign history Response history (Members, Purchase history customers & Transactions) Enquiries Complaints Referrals Acquired data @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 27. The Data Fusion Process Identify any requirement for Demographics Interests enhancement & enrichment… Business qualification Your Data (Members, customers & External Transactions) Qualification (Demographics & Classifications) @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 28. The Data Fusion Process Mine your data and create your Define the differences in behaviour between the ‘communities’ communities and determine your “GOLDEN QUESTIONS” to drive research Your Data (Members, customers & External Transactions) Qualification (Demographics & Classifications) @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 29. The Data Fusion Process Targeted Often several Bespoke Research variations on the survey to research (Attitudes & target the Aspirations) golden questions Your Data (Members, customers & External Transactions) Qualification (Demographics & Classifications) @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 30. The Data Fusion Process Targeted Match survey Research outcome back to (Attitudes & database Aspirations) Your Data (Members, customers & External Transactions) Qualification (Demographics & Classifications) @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 31. The Data Fusion Process Targeted Re-run the mining Research (Attitudes & Aspirations) Your Data (Members, customers & External Transactions) Qualification (Demographics & Classifications) @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 32. Psychographics Adding to your database from research • Address the customer segments with “golden questions” • Research data can be both discrete and general • If research is discrete then it can be matched back to the subject • This will provide specific qualification criteria for those who respond …. • …. and information that can be extrapolated across other similar subjects, to fine tune the profiles @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 33. Who are potential active advocates? • Committed members who have referred in the past • Members whose attitude and behaviour reflects satisfaction • Satisfied customers for training or publications • Bloggers or complimentary contributors to the organisation’s chat-rooms and forums or industry social media whose score or profile supports their sentiments • Proven committed members and customers who have registered testimonials that can be used in marketing activity Invite these people to participate at a higher level Include them as the first wave for any viral marketing activity @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 34. Who are potential passive advocates? • Invoke a process of ‘cloning’ – clone the best members and most profitable customers – DM’ers did it before Dolly the Sheep • They will act as advocates without being aware of it! @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.
  • 35. Thank You www.dmcounsel.co.uk @dmcounsel Database Marketing Counsel © Michael Collins 2001-12. All rights reserved.