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Dec 14, 2015

A Surprising Trend in Fundraising

Any of us who have studied donor behavior can tell you that your best prospect for a sustainer or monthly pledge donor is someone who has been on your file for several years and has averaged 3 or more gifts a year. And the best recruitment should be done in January.

Or is it?

This year we have studied pledge conversion for several different files, and a very different narrative than the one above is emerging.

For both of these organizations, which have mature files built on direct mail, the most likely convert to a pledge program was a single-gift donor who has been on the file a year or less.

This is actually exciting news. This means organizations can (and should) start recruiting new donors to their pledge programs right away. But not in January.

For most organizations, they are pulling the select for the January pledge recruitment long before the majority of the fall acquired donors are on the database.

I know it may sound crazy, but we recommend waiting to send your pledge recruitment package (supported by TM) in February or March. You want to hit those new donors ASAP.

You’re welcome.

Micro-Sustainers to Lapsed Donors

Each fall, we here at Analytical Ones survey the trends in fundraising and come up with testing ideas for your fall campaigns. Last year, we recommended testing first class postage, to avoid the USPS’s SOP of delivering all nonprofit postage appeals on the same day....

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Part VII: How Analytical Ones Will be Using AI

Over the past couple of weeks, I have written about some potential effects that AI will have on the nonprofit sector. Today, I’m going to end this series on how we as a company intend to use AI. There’s no doubt there is a certain “wow-factor” using AI. It’s like Star...

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Part VI: The Environmental Impact of AI

Up to this point in our AI blog series, I have been discussing (some might say ragging on) the practical implementational challenges of AI in the nonprofit sector. In today’s blog, I’m shifting the focus on a more global issue: Is using AI environmentally sustainable?...

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