Get a complete, philanthropy-first picture of every constituent, bringing together wealth screening, charitable giving history, and more in a single location. Then, have a revenue-optimized predictive model layered on top to show who in your database is most likely to bring in the gifts that fund your mission. 

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WHAT IS DONORSEARCH?

 

DonorSearch is the prospect research and predictive intelligence platform built for fundraising teams who need more than a wealth screen. It combines 200 million+ charitable gift records with wealth and capacity data to give teams a complete, philanthropy-first view of every constituent.

In providing this, DonorSearch both deepens your understanding of existing donors while surfacing new prospects whose charitable giving history shows alignment with your mission. Data can integrate directly with your CRM so intelligence flows where your team already works — no incomplete picture at the moment it matters most.

How Can DonorSearch’s MLR Score Help Your Nonprofit?

DonorSearch CORE gives you Most Likely to Raise (MLR), an industry-leading predictive model that shows which donors are most likely to make the highest-value gifts in the next 12 months.

Every constituent in your database gets a 0-100 score, helping fundraisers:

Segment Communications 
Your donors shouldn’t all receive the same message. Our MLR Score allows nonprofits to develop targeted campaigns that resonate with different segments of their donor base.

Grow Relationships
By knowing the MLR Score of each donor, your nonprofit can focus efforts on cultivating relationships with the donors likely to make the most impact.

Improve Strategies
MLR helps nonprofits refine their fundraising strategies and allocate resources more effectively — all with the data to back up crucial organizational decisions.

WHY CHOOSE DSAI?

Revenue-Optimized Modeling

Traditional MLR scores look at who is most likely to respond to a solicitation — not who is most likely to bring in funds. DonorSearch’s MLR surfaces who could make the highest-value gifts

Comprehensive Data Analysis

Most Likely to Raise utilizes a combination of client-supplied data and 100+ data points from the DonorSearch wealth and philanthropic screening for a complete understanding of donors.

Dynamic Machine Learning

DonorSearch models employ cutting-edge machine learning technology that constantly learns from your data, giving you in-depth insight into donors’ behavior as it changes over time.

Real-World Success Stories

Blue13 Dance Company

Blue 13 Dance Company didn’t just hope for success; they achieved it by leveraging the DonorSearch MLR score. By employing the DonorSearch solutions and MLR score, they were able to raise over $100,000 swiftly which impacted their overall contributions by 20%, paving the way for their organization’s growth.

Read the Full Case Study 

RMHC-CNI

Ronald McDonald House Charities of Chicagoland & Northwest Indiana leveraged DonorSearch’s MLR scoring to identify supporters in their existing database that had previously been overlooked as potential major donors. Thanks to the insights these ratings provided, RMHC-CNI fundraisers could enter solicitation conversations with confidence and secured multiple seven-figure donations!

Read the Full Case Study 

Unlock the Potential of Predictive AI Modeling

Embrace the future of fundraising with DonorSearch. Get the essential guide that explains step-by-step how this groundbreaking technology can help you personalize communications, grow relationships, and form data-backed strategies.

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Frequently Asked Questions About MLR Scores

Most Likely to Raise (MLR) scores are ratings provided by an AI model that predicts which donors are most likely to make the highest-value gifts in the next 12 months. The MLR model uses client-supplied data and 100+ data points from the DonorSearch wealth and philanthropic screening.

RFM (Recency, Frequency, and Monetary) scores are based entirely on past giving, meaning they give you a good look at a donor’s historical trends. Most Likely to Raise uses wealth, philanthropic data, and client-supplied data to predict how donors might act in the future. The MLR model is both more comprehensive and more forward-looking than RFM scoring.

Other MLR models look at who is most likely to respond to a solicitation, making them not optimized toward bringing in revenue. DonorSearch’s MLR surfaces who could make the highest-value gifts in the next 12 months, showing you who to reach in order to bring in the donations that fund your mission.

DonorSearch CORE offers one national predictive model, Most Likely to Raise (MLR), that predicts which donors are most likely to make the highest-value gifts in the next 12 months. Enhanced CORE gives you MLR, plus lets you create a custom package from five national models that cater toward a variety of fundraising strategies like annual giving and major gifts. Enhanced CORE also offers point-and-click data visualizations so you can dig deeper into data analysis.

To calculate a donor’s MLR score, DonorSearch pairs client-supplied data with 100+ data points from the wealth and philanthropic screening. Then, cutting-edge machine learning technology analyzes the data, identifies patterns, and assigns a 0-100 score based on those insights.

DonorSearch integrates with 40+ nonprofit CRMs and fundraising tools, making it easy to view not only MLR scores into supporters’ profiles, but wealth and philanthropic data as well.

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