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Mar 18, 2019

Analyst Heaven

I was imagining what heaven might look like for us fundraising analysts.

By and large, fundraising analysts lead good lives here on planet earth. We help causes that really matter. We get to work indoors. Often, we can even work from home. We get to use our brains a lot, and fun tools like laptop computers and cool software like SPSS.

However, the absolute bane of our existence is the abundance of really crappy data.

The unglamorous fact of life for a fundraising analyst is that we spend most of our time trying to figure out whether the data we are working with is fit to analyze.

The Great Lie is that a new CRM system or data warehouse will fix your crappy data problems.

Short of a transcendent visit from the Data Angels, the only thing on this side of heaven that can fix crappy data are smart people who are willing to dive into messy databases and make sense of it all.

My hope is that if and when I get to heaven, all the donor data will be spotless, and the channel coding will be standardized. What sweet hope this sentence brings!

Top 5 Mistakes: #3 Chasing Younger Donors

If I had to guess, the median age of the donors on your database is between 65 and 70-years old, and the median age of a new donor is probably between 60-65 years old. When organizations hear this, they worry that their donor database is going to “eternally lapse”...

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Top 5 Mistakes: #4 Legacy “No-Mail” Flags

I have been analyzing the fundraising business for nearly three decades and over the years I keep seeing nonprofit organizations making the same mistakes. These errors hold organizations back. If you are new to fundraising, please commit yourself to avoiding these...

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Top 5 Mistakes: #5 CRM Expectations

I have been analyzing the fundraising business for nearly three decades and over the years I keep seeing nonprofit organizations making the same mistakes. These errors hold organizations back. If you are new to fundraising, please commit yourself to avoiding these...

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