Details

Subject(s)

• Fund raising [Browse]

Series

• AFP fund development series. [More in this series]
• The AFP fund development series

Summary note

"Today's successful nonprofits use information as a resource implemented in their organizational culture and realize that having an authentic vision for analytics is the key to successful fundraising. Fund-raising Analytics shows nonprofit executive directors, fundraising managers, directors of development, planned giving officers, and consultants how to turn their organizational data - with an appropriate focus on donors - into actionable knowledge. The result? A vibrant, donor-centered nonprofit organization that makes maximum use of data to reveal the unique diversity of its donors." "Written by Joshua Birkholz a leading practitioner and creative thinker in the world of analytics and philanthropy, to help nonprofits recognize the opportunities provided by fundraising analytics, this innovative book explores how analytics can be optimally used to drive success in fund-raising. It provides step-by-step instructions for conducting analysis in-house."--book jacket.

Notes

Includes index.

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 Scoring Models. 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.

ISBN

• 9780470165577
• 047016557X

LCCN

2007049356

OCLC

183162415

RCP

C - S

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