Data and Text Mining Using Your Data to Drive Membership Development - PowerPoint PPT Presentation

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Data and Text Mining Using Your Data to Drive Membership Development

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Non-Relevants Probably shouldn't be members at all. Develop Member Behavior Profiles ... Meeting attendance. Committee involvement. Fundraising contributions ... – PowerPoint PPT presentation

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Title: Data and Text Mining Using Your Data to Drive Membership Development


1
Data and Text Mining Using Your Data to Drive
Membership Development
  • George Breeden, CAE
  • Director, Not-for-Profit Services, RSM McGladrey

2
Some Common Sense Essentials
  • Understand your membership and market
  • Identify ways to pre-segment your data before
    attempting analysis
  • Validate the quality of your data
  • Understand your organizations business goals,
    and align your research to these initiatives
  • Start simple
  • Try to avoid investigator bias

3
Strategic Plan Elements
  • Increase membership by 4
  • Increase product sales by 5
  • Increase member retention by 4
  • Increase advertising sales by 5
  • Increase exhibit sales by 4
  • Identify future leaders
  • Become the indispensable resource for the
    industry
  • Conduct some industry project

4
Data Quality
  • How old is the data?
  • Where did it come from?
  • How often has it been reviewed it for currency or
    relevance?
  • Can all data be trusted equally?
  • What is the context in which the data was
    gathered?

5
Data Segmentation One Model
  • Allegiance Fulfilling the Promise of One-to-One
    Marketing for Associations
  • Mailboxers Read the magazine and newsletters
  • Relevant Participants Participate in education
    and conferences
  • Shapers - Volunteers
  • CompShoppers Consume products directly
  • Cognoscenti Interested in peer networking
  • Status Conscious - Affiliation
  • Altruistics Support the mission
  • Doubters Not really sure why they belong, but
    would like to
  • Non-Relevants Probably shouldnt be members at
    all

6
Develop Member Behavior Profiles
  • Identify by member type (Allegiance category)
    what the life cycle for a member might look like
    by activity and longevity
  • Products bought
  • Meeting attendance
  • Committee involvement
  • Fundraising contributions
  • Survey participation
  • Networking activities
  • Intellectual offerings

7
Member Behavior Profiles
  • By category, what is the typical involvement by
    year typically a bell curve
  • Identify profile for when members are at risk,
    and ways to bring them back forward on the curve
    membership interventions
  • Be realistic about what you can expect from the
    members

8
Example profiling Simple Point System
  • Annual conference 10 points
  • Regional conference 5 points
  • Publication purchase 3 points
  • Committee involvement 20 points
  • Write article 10 points
  • Speak at an annual conference 15 points
  • Speak at regional event 10 points

9
Sample Matrix
10
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