We always want to create the best portfolios for our front-line fundraisers, to position them for success. In our quest to create high quality portfolios, we often encounter obstacles that make it challenging or even halt our progress entirely. Three of the most common obstacles can be overcome, with a bit of planning, strategy, and tenacity.
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This blog post will get published after the end of the fiscal year for most nonprofits, but the ideas in here can still be used to help boost any campaign end (or start or middle, for that matter). Here we’ll review five ways you can push new prospects into your pipeline.
With Worksheets and Suggestions for Cost Cutting that Will Better Support Fundraising ![]() During the 2008 economic crash, my employer had to lay of 10% of the Advancement Office. We just had to. I had to choose to lay people off. It was miserable. What it taught me, though, is that management is just as confused and frustrated as staff are when it comes to figuring out what budgets and whose jobs to cut. Of course, we are going to advocate for leaving Prospect Research intact because that is where we come from. However, you can back up these assertions for your own shop by using data. Let’s begin. ![]() By - Drew Page at Siege Media Nonprofits can learn a lot about technology, operations, and more from companies in the for-profit sector. One technology that has been gaining popularity among c-level executives is machine learning and its contributions to modern Artificial Intelligence (AI). Since true AI — the ability for computers to process unstructured data, form conclusions, and take action — is not yet on the horizon of possibilities, machine learning models have become synonymous with AI. Celebrating Prospect Research Pride Month ![]() The Information Age - a time when we all have access to the Internet and we can enjoy all kinds of possibilities, like posting silly pet videos or watching TV on our phones. As prospect researchers, we are early leaders in the Information Age, and we are still leading in acquiring, assembling, and interpreting information. |
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