Fundraising Analytics: Using Data to Guide Strategy

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.