Better Data, Better Audiences, Better Results.
The foundation of successful fundraising is precision—knowing exactly who your donors are and how to reach them. Moore applies AI-driven modeling, advanced identity resolution, and thousands of verified data points drawn from decades of nonprofit donation history to uncover the audiences most likely to engage and give.
With Moore’s unmatched donor intelligence and predictive algorithms from SimioCloud, your campaigns move beyond guesswork. You gain data-backed certainty about who your best prospects are—and how to convert them into lasting supporters.
Omnichannel Audiences
for Omnichannel Marketing
Acquire, retain, and upgrade your data-driven audiences in every channel with our channel-agnostic audiences and strategy.
Machine Learning in Motion
Continually Improving Results
SimioCloud applies advanced AI techniques to deliver more accurate predictions and stronger campaign outcomes. With every interaction, the platform learns from new data and campaign performance, continually refining models to drive compounding improvements over time.
A New Source of Revenue
Data Monetization
Rising acquisition costs don’t have to limit your growth. By transforming your donor file into a secure, revenue-generating asset, Moore helps you offset costs through compliant list rental programs. This approach not only protects your data but also creates a sustainable funding stream to reinvest in future campaigns.
Why Choose Moore's Audience Building?
With data from over 700 organizations, 2 billion verified donation records, and thousands of attributes on nearly every American adult, Moore delivers unmatched predictive accuracy. The result: more precise targeting, stronger fundraising performance, and donors who feel more connected to your mission. Here’s how:
Work with the
Top Audience Strategists
Learn how data-driven audiences can revolutionize results from data and audience experts.
Children's Hospital of Philadelphia Case Study
Challenge
Children’s Hospital of Philadelphia (CHOP) needed to strengthen its major donor outreach by identifying the right prospects and determining optimal ask levels. Existing wealth models weren’t surfacing enough high-potential leads, limiting major gift performance.
Solution
CHOP partnered with Moore to implement a SimioJourney predictive model that leveraged AI and comprehensive donor data to identify and prioritize high-value Grateful Family prospects. We built audiences that not only pinpointed the most likely major gift candidates but also guided gift ask strategies.
Results
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$35M projected increase in prospective major gifts
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22.6% higher average gift size
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17.4% faster velocity to gift
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42% lift in response rate
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3,000 new major gift Grateful Family prospects identified
Shriners Children's Case Study
Challenge
Shriners Children’s had strong digital and mail programs, but the two channels lacked coordination.
Solution
We built an audience with SimioCloud that crossed direct mail, digital ads, and email. That audience was then targeted with aligned creative and coordinated calls-to-action.
Results
10.45x return on ad spend
+72% increase in response rate
+11% lift in average gift size
Learn More About Moore Audiences:
Better data and more effective modeling can teach you about winning at donor acquisition.
See how this organization took audience building omnichannel by starting with co-targeting across channels.
