Fundraising Analytics: Using Data to Guide Strategy / Edition 1

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Overview

Fundraising Analytics

"As long as your focus remains on the donor, your data-drivenstrategies will evolve to benefit your organization. To be guidedby data means to be guided by donors. Donors are the remarkablecoefficients in high-results equations. If you plug them into yourformula, your results will be extraordinary."
—From Fundraising Analytics

Today's successful nonprofits use information as a resourceimplemented in their organizational culture and realize that havingan authentic vision for analytics is the key to successfulfundraising. Fund-raising Analytics shows nonprofit executivedirectors, fundraising managers, directors of development, plannedgiving officers, and consultants how to turn their organizationaldata—with an appropriate focus on donors—into actionableknowledge. The result? A vibrant, donor-centered nonprofitorganization that makes maximum use of data to reveal the uniquediversity of its donors.

Written by Joshua Birkholz, a leading practitioner and creativethinker in the world of analytics and philanthropy, to helpnonprofits recognize the opportunities provided by fundraisinganalytics, this innovative book explores how analytics can beoptimally used to drive success in fund-raising. It providesstep-by-step instructions for conducting analysis in-house, withinvaluable advice on how to:

  • Understand your constituents
  • Identify potential prospects for major and planned giving
  • Develop campaign planning including capacity analysis andpyramid design
  • Build a data-driven prospect management system
  • Develop metrics to gauge and guide your success
  • Select data for mining
  • Broaden your support base
  • Build a model to predict giving at your organization

Organizations are seeing remarkable results through developmentof sophisticated systems for understanding their customers andusing data to guide strategy. Part of the Wiley/AFP FundDevelopment Series, Fundraising Analytics is an easy-to-use,relevant book that can be used by all development officers with avision towards deepening connection with donors and increasingnonprofit fundraising.

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Editorial Reviews

From the Publisher
"….is a gift to the massess..a lens into the world of the sophisticated fundraising operations that pump the big bucks into major institutions. Written by Joshua Birkholz, the book's subtitle is 'Using Data to Guide Strategy" and that's what the book delivers." (CharityChannel.com, June 6, 2008)
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Product Details

  • ISBN-13: 9780470165577
  • Publisher: Wiley
  • Publication date: 4/4/2008
  • Series: AFP/Wiley Fund Development Series , #174
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 240
  • Sales rank: 654,969
  • Product dimensions: 6.00 (w) x 9.00 (h) x 0.69 (d)

Meet the Author

Joshua M. Birkholz is a principal at Bentz Whaley Flessner, a leading fundraising consulting firm, and director of its analytics division, DonorCast. He has built data mining solutions for leading universities, medical centers, and cultural nonprofits throughout the United States. His areas of specialty include metrics for nonprofit fundraising, constituency analysis, segmentation, and integrated prospect identification systems. He is a sought-after speaker and presenter in the field of analytics, prospecting, and constituent relationship management.

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Table of Contents

Acknowledgments.

Foreword.

Chapter 1. Overview of Fundraising Analytics.

Defining Analytics.

The Mind of an Analyst.

What to Expect.

Enjoy the Journey.

Chapter 2. Understanding Your Constituents.

Portfolio Assignment.

Derived Segments.

Philanthropic Motivations.

Cluster Analysis Case Study.

Final Thoughts on Understanding Your Constituents.

Chapter 3. Analytics and Prospecting.

Development Business Process.

Integrated Prospecting System.

Analytics as Part of the Prospecting Systems.

Final Thoughts on Analytics and Prospecting.

Chapter 4. Analytics and Campaign Planning.

Assessing Campaign Factors.

Incorporating Campaign Factors.

Campaign Pyramid.

Final Thoughts on Campaign Analytics.

Chapter 5. Data-Driven Prospect Management.

Prospect Management.

Final Thoughts.

Chapter 6. Annual Giving Analytics.

Constituent Life Cycles.

Traditional Donor Segments.

Predictive Modeling for Annual Giving and Membership.

Metrics for Annual Giving.

Final Thoughts on Annual Giving Analytics.

Chapter 7. Selecting Data for Mining.

Selection Criteria.

Variables to Include in Your File.

Format for Your Data File.

Chapter 8. Descriptive Analysis: Basic Statistics and ScoringModels.

Descriptives.

Frequency Distribution.

Cross Tabulation.

Recoding Variables.

Correlation.

Correlation Ranking.

Calculating Database Capacity.

RFM Analysis.

Attachment Score.

Chapter 9. Regression Analysis.

Define Business Need or Goal.

Determine Required Data Elements.

Model Selection.

Prepare the Data for Modeling.

Modeling.

Model Evaluation.

Final Thoughts on Predictive Modeling.

Final Thoughts on Fundraising Analytics.

Glossary of Common Analytics Terminology.

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