Transform Donor Files into High-Impact Fundraising Assets
SimioJourney models convert unorganized donor files into upgrade-ready, high-potential audiences. It identifies your most promising donors—mid-level, major, planned giving, sustainers, donor-advised fund (DAF) holders, and potential lapsing donors optimized for renewal—using AI-driven predictive modeling and SimioCloud’s comprehensive nonprofit data.
By combining AI-powered insights, exclusive data access, and real-time optimization, SimioJourney models move donor management beyond guesswork, creating audiences for more efficient, outcome-driven donor journeys. This precision targeting maximizes net revenue, improves retention, and reduces wasted time and resources.
Make Every Donor
Journey Count?
Get a custom walk-through of how SimioJourney models can unlock growth from the supporters you already have.
Actionable Insight
Turn Disorganized Data into Actionable Strategy
SimioJourney models convert unstructured donor data into clean, actionable segments aligned with your fundraising goals. Going beyond traditional RFM models, it uncovers hidden high-value prospects your current systems may overlook.
By focusing effort and budget on donors most likely to convert or upgrade, SimioJourney models reduce waste while expanding reach.
Precision and Efficiency Meet
The SimioJourney Advantage
SimioJourney models move beyond standard segmentation, providing a data-driven, AI-powered approach that maximizes value at every stage of the donor journey. It helps you unlock the full potential of your existing donor base with unmatched insight, precision, and efficiency.
Why SimioJourney Models
We go beyond traditional testing to uncover what truly drives donor response—faster, smarter, and at scale. Here’s how:
Increase the Value
of Each Donor
Get more value from each donor by putting them on the right path, whether it’s one-time, monthly, mid, major, or planned giving.
Children’s Hospital of Philadelphia Case Study
Challenge
Children’s Hospital of Philadelphia (CHOP) needed to enhance major donor outreach by identifying the right prospects and determining optimal ask levels. Existing wealth models were insufficient in surfacing high-potential leads, limiting major gift performance.
Solution
CHOP partnered with Moore to implement a SimioJourney predictive model, leveraging AI and comprehensive donor data to identify and prioritize high-value Grateful Family prospects. The model pinpointed likely major gift candidates and guided optimal ask strategies.
Results
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$35 million projected increase in prospective major gifts
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22.6% higher average gift
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17.4% faster velocity to gift
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42% increase in response rate
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3,000 new major gift Grateful Family prospects identified
Learn More About SimioJourney:
Using AI for creating effective, customized donor journeys that raise money.
Finding your next DAF donors, starting with effective audience creation with SimioJourney.
