Modeling Yields Better Returns

July 9, 2009      Admin

Here’s an article from Fundraising Success that I set aside awhile back to reflect upon.

I’m glad I did. Written by fundraising consultants Tiffany Neill and Lynn Mehaffy, it’s a useful little gem … kind of a "nuts & bolts" Modeling 101 for fundraisers.

I’m especially intrigued by their discussion of milking more insight from merge-purges. They suggest assessing the results of merge-purges of house files with outside lists when assembling lists for prospecting, not just using the process to suppress names.  Fundraisers can use this as a way of estimating what share of wallet their organization might be getting from their current individual donors, many (if not most) of whom are giving to mutiple organizations working in the same space.

By looking at merge results, you can calculate what percentages of your donor base are giving to only your organization, versus those giving to various numbers of groups in your outside list population (i.e., your competitive set) … and segment and score donors accordingly. You can then evaluate responsiveness to renewals and house appeals by these "share of wallet" segments, and use those findings to test differing levels of investment for different segments.

One of a number of interesting ideas n this piece.

Tiffany and Lynn, you deserve a raise!

Tom

 

                                                                                                                                                                                                                       

One response to “Modeling Yields Better Returns”

  1. Ray Mitchell says:

    This is a terrific piece from Tiffany Neill and Lynn Mehaffy! It covers an aspect of direct-response (or, direct-mail) fundraising practice and management that one does not always see discussed very often … but should be!

    I can personally vouch for the effectiveness and benefits of this kind of multilevel data mining in one’s donor file or “house file” in advance of any appeal. It certainly involves more work — sometimes a lot more work. But, the added labor is always worth the time and energy involved when you consider the ROI in terms of response, income and critical information obtained.

    About 30 years ago, I had the pleasure of working closely with Alan Sack, then the senior VP of Hub Mail in Boston. The firm served as direct-mail/direct-response vendor to the Massachusetts Easter Seal Society where I had the job of development/PR director — a one-man shop! We had a donor file made up of more than 200,000 records, just about all of them from direct-mail solicitation, and few of them ever approached for personal giving on any regular basis.

    Alan Sack was an early and well-known proponent of vigorous and aggressive list management using techniques that few attempted with nonprofit donor files in those days. He convinced us and a number of other Easter Seal chapters to begin list manipulation and data mining in some new ways, and creative merge/purge and the type of “modeling” that Tiffany and Lynn describe were among Sack’s methods. He also designed and developed some of the most creative and exciting mail packages one typically found in those days.

    All of this said, the most important result of these initiatives those many years ago, and the testimonial to what Tiffany and Lynn have suggested today, is that this kind of list management can lead to greatly increased contributed income from direct-response appeals and open the doors to new relationships and opportunities with an organization’s donors.

    Our efforts in this regard with the Massachusetts Easter Seal Society’s donor file 30 years ago greatly improved the organization’s direct-mail fundraising returns. It also enabled the organization to develop, for the very first time, a donor file subgroup of individuals who could be approached for face-to-face, highly personalized solicitation of major gifts on an annual basis. Suddenly, the development program had a whole new dimension beyond direct-mail!

    Thanks, Alan! You were a genius!