Freshly Printed - allow 7 days lead
Couldn't load pickup availability
Fundraising Analytics
Using Data to Guide Strategy
Joshua M. Birkholz (Author)
9780470165577, Wiley
Hardback, published 21 April 2008
240 pages
22.8 x 16.4 x 2.3 cm, 0.54 kg
"….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)
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.
Acknowledgments xi Foreword xiii Chapter 1 Overview of Fundraising Analytics 1 Defining Analytics 3 The Mind of an Analyst 6 What to Expect 11 Enjoy the Journey 14 Chapter 2 Understanding Your Constituents 17 Natural Segments 17 Portfolio Assignment 18 Derived Segments 19 Cluster Analysis Case Study 25 Final Thoughts on Understanding Your Constituents 30 Chapter 3 Analytics and Prospecting 31 Development Business Process 31 Integrated Prospecting System 38 Analytics as Part of the Prospecting System 42 Final Thoughts on Analytics and Prospecting 50 Chapter 4 Analytics and Campaign Planning 51 Assessing Campaign Factors 52 Incorporating Campaign Factors 62 Campaign Pyramid 68 Final Thoughts on Campaign Analytics 70 Chapter 5 Data-Driven Prospect Management 71 Elements of Successful Fundraising Organizations 72 Prospect Management 75 Final Thoughts 113 Chapter 6 Annual Giving Analytics 115 Constituent Life Cycles 117 Traditional Donor Segments 127 Predictive Modeling for Annual Giving and Membership 128 Metrics for Annual Giving 133 Final Thoughts on Annual Giving Analytics 135 Chapter 7 Selecting Data for Mining 137 Selection Criteria 138 Variables to Include in Your File 138 Format for Your Data File 152 Chapter 8 Descriptive Analysis: Basic Statistics and Scoring Models 153 Descriptives 154 Frequency Distribution 159 Cross Tabulation 162 Recoding Variables 164 Correlation 170 Correlation Ranking 173 Calculating Database Capacity 175 RFM Analysis 184 Attachment Score 186 Chapter 9 Regression Analysis 189 Define Business Need or Goal 189 Determine Required Data Elements 190 Model Selection 192 Prepare the Data for Modeling 193 Modeling 197 Model Evaluation 207 Final Thoughts on Predictive Modeling 210 Final Thoughts on Fundraising Analytics 211 Glossary of Common Analytics Terminology 213 AFP Code of Ethical Principles and Standards of Professional Practice 217 A Donor Bill of Rights 218 Index 219
Subject Areas: Business & management [KJ]
