It’s not always easy to determine whether a donor prospect has the capacity to make a major gift, and it’s even harder to figure out how likely that person is to actually make such a gift.

How Do Small Nonprofits Do It? 

According to the National Center for Charitable Statistics there are more than 1.5 million nonprofit organizations registered in the U.S., and the majority of these are small; 88% of 501(c)(3) organizations have assets less than $10M and 55% have assets less than $1M, according to IRS statistics. Nonprofits can use data analytics to help them raise more money and reduce the costs of fund raising, but most can’t afford to hire outside firms to perform these analyses and don’t have analysts on staff.

Affordable Advancement Analytics (A3) has been established to meet this need.

We help smaller nonprofits mine their donor database to identify their most likely donor prospects. We work with a powerful resource; the donor information already in-hand. We help to clean and format that data and then build powerful predictive analytic models.

The Affordable Advancement Analytics (A3) Difference:

We are a nonprofit helping nonprofits!

Affordable Advancement Analytics is a 503(c)(1) nonprofit organization – our philanthropic mission is to provide these analytic models to smaller nonprofits at little or no cost.

Our generous benefactors belive in helping others help themselves… 


We work with YOUR database to establish the best donor….

The Affordable Advancement Analytics (A3) Difference.

Years of experience have taught us that donor databases are raw material we can forage to find simple and accurate predictions. Harnessing special software, we build advancement analytics to take advantage of this resource. Our philanthropic mission is to provide these analytic models to smaller nonprofits at little or no cost. We build appropriately scaled analytical models that take smart advantage of the data an organization already has in their donor database, plus other fields special to their particular situation. We focus on the intent and track record of donors rather than on their capacity to give; we set aside any particularly generous donors (who are already known) and identify the most promising among the middle range of donors.

We can help to:

  • Tidy donor data, cleaning out duplicate entries, names likely lost to age or distance, and values that are identifiably wrong or inappropriate.
  • Improve donor data records, identifying useful fields and recommending formats more amenable to analysis.
  • Get a higher rate of return on email and conventional mail appeals sent to current and prospective donors.
  • Identify the smaller subset of donors for whom the extra attention of a special event or personalized note on the appeal letter is most likely to pay off.


Prospect Insight Improves Your Performance.

We focus on the intent and track record of donors rather than on their capacity to give; we set aside any particularly generous donors (whom they will already know) and identify the most promising of the middle range of donors.

Peter Wylie


Peter Wylie, co-founder of Affordable Advancement Analytics, is a nationally recognized advancement consultant who has long experience working with fundraisers.

From the most elementary to the more sophisticated donor research, Peter’s insights have given many development professionals a head start on their competitors and helped them boost their productivity. Peter holds a Ph.D. in industrial psychology and has been consulting with advancement professionals for more than twenty years. During the course of his career, he has worked with many colleges and universities both public and private as well as nonprofit organizations. His clients include Bucknell University, Lehigh University, Oberlin College, University of California, Berkeley, and the University of Utah.

View Pete’s white pages on the CoolData Blog here.

Paul Velleman


Paul Velleman, co-founder of Affordable Advancement Analytics, has spent his career developing innovative tools for analyzing and displaying data. He is a Fellow of the American Statistical Association and of the AAAS and was awarded the ECUCOM Medal for innovative uses of computer in teaching Statistics for his design and authoring of the ActivStats statistics e-book. Paul taught statistics at Cornell University in the Department of Statistical and Data Science, for which he was awarded the MacIntyre Prize for Exemplary Teaching, and where he is now Emeritus Professor. He is co-author of six successful statistics textbooks published by Pearson. Paul earned his Ph.D. working with John Tukey—training that informs the unique approach to predictive modelling employed by A3.

 Contact Us To Find Out More

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Data Description, Inc.

PO Box 4555

Ithaca, NY 14850


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