Fundraising Analytics: Using Data to Guide Strategy
Chapter 1. Overview of Fundraising Analytics.
The Mind of an Analyst.
What to Expect.
Enjoy the Journey.
Chapter 2. Understanding Your Constituents.
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.
Final Thoughts on Campaign Analytics.
Chapter 5. Data-Driven Prospect Management.
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.
Variables to Include in Your File.
Format for Your Data File.
Chapter 8. Descriptive Analysis: Basic Statistics and Scoring Models.
Calculating Database Capacity.
Chapter 9. Regression Analysis.
Define Business Need or Goal.
Determine Required Data Elements.
Prepare the Data for Modeling.
Final Thoughts on Predictive Modeling.
Final Thoughts on Fundraising Analytics.
Glossary of Common Analytics Terminology.
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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