Data-Driven Targeting and Segmentation

In today’s landscape of integrated fundraising, identifying the right donors is more critical than ever. Predictive data modeling empowers organizations to boost fundraising performance while reducing campaign costs. By leveraging data-driven insights, you can unlock greater net revenue and make every campaign more efficient and impactful. 

Better performance than traditional models or RFM 

Predictive Insights allows organizations to identify donors who are most likely to respond to campaign solicitations. By analyzing patterns in donor behavior, the model goes beyond basic metrics like Recency, Frequency, and Monetary Value (RFM), enabling organizations to make more informed decisions and optimize their outreach. 

Enhanced selection and mailing capabilities 

Predictive Insights offers an improved ability to select 'marginal names' and reject non-performing names compared to traditional RFM techniques, combining both simplicity and accuracy. This enhancement significantly increases the potential to mail into marginal populations, such as long-lapsed customers, and make beneficial trade-offs across various programs and channels. 

Easy to update and simple pricing 

Predictive Insights utilizes NRF data that you are already sending, ensuring that the scores are always fresh and current without any extra effort on your part. And with simple annual subscription-based pricing you won’t incur any volume-based fees. Affordable pricing that’s tiered by size based on active donor counts. 

Download our one-pager to learn more about Predictive Insights: 

See the Model in Action: Back Testing for Real-World Results 

Curious about how predictive modeling performs in real-world scenarios? Explore our case study on model back testing to see how we validate accuracy and impact before deployment. It’s a powerful proof of performance that shows how data-driven insights translate into measurable fundraising results.