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1) Donor segmentation and predictive scoring Machine-learning models can ranking donors by likelihood to give again. Most modern CRMs embed this already; you don’t need to code. The practical step is to review what the algorithm predicts  and decide whether that aligns with human insight. 2) Personalisation at scale Once donor groups are known, LLMs can generate customised versions of standard messages. Rather than write 20 different emails, a prompt can re-phrase one draft f

A Technical Look At AI In Fundraising