Joshua M. Birkholz

Fundraising Analytics (eBook, ePUB)

Using Data to Guide Strategy

• Format: ePub

Produktbeschreibung

Fundraising Analytics: Using Data to Guide Strategy Fundraising Analytics shows you how to turn your nonprofit's 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. It provides step-by-step instructions for understanding your constituents, developing metrics to gauge and guide your success, and much more.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 240
• Erscheinungstermin: 1. September 2020
• Englisch
• ISBN-13: 9781119782353
• Artikelnr.: 60113179

Autorenporträt

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.

Inhaltsangabe

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.

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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.

Rezensionen

" .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)