Go Beyond the Traditional RFM Score with DonorSearch’s MLR Score
While other affinity scores just look at previous philanthropy, DonorSearch delivers the most advanced engagement and affinity score by using your real-time data, the largest philanthropic database, and over 800 data points.
As the significantly boosted “cousin” to the traditional RFM score, or static affinity scores that highlight sector interests, DonorSearch’s MLR score measures an individual’s affinity to your nonprofit by using individual gifts, email, and event data to establish a metric for each of your donor’s relative engagement. This results in precisely knowing who to talk to and those who are most likely to give within the next 12 months.
WHY CHOOSE DONORSEARCH’S PREDICTIVE AI-POWERED MLR SCORE?
Real-World Success Story
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.
How Can DonorSearch’s MLR Score Help Your Nonprofit?
Segmenting Donors: Our MLR Score allows nonprofits to segment their donors into different groups based on their giving patterns.
Personalizing Communications: By knowing the MLR Score of each donor, your nonprofit can tailor your communication strategies.
Identifying Potential Major Donors: By analyzing the MLR scores, your nonprofit can identify donors who have the potential to give more. This allows you to focus your efforts on cultivating relationships with the right donors.
Improving Fundraising Strategies: By understanding the patterns in donor behavior through MLR analysis, nonprofits like yours can refine their fundraising strategies, allocate resources more effectively, and develop targeted campaigns that resonate with different segments of their donor base.
Unlock the Potential of AI-Powered Donor Affinity Scores – Download Your MLR Score One-Sheeter Today!
Embrace the future of donor engagement with DonorSearch’s MLR Score. Get the essential guide that takes you step-by-step through this groundbreaking technology. Discover how this score will help you segment donors, personalize communications, and precisely identify potential major contributors.
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Frequently Asked Questions About MLR Scores
Most Likely to Respond (MLR) scores are AI-driven predictive ratings that measure the probability that individual donors will engage with your nonprofit’s outreach within the next 12 months. MLR scores are based on philanthropic and affinity information (past gifts, relevant interests, non-donation engagement like event attendance and marketing material interactions, etc.) found through prospect research.
RFM (Recency, Frequency, and Monetary) scores are based entirely on past giving history. Meanwhile, MLR scores take other aspects of engagement and organizational affinity into account to identify trends in donors’ behavior and predict how they might act in the future. The MLR model is both more comprehensive and more forward-looking than RFM scoring.
To calculate a donor’s MLR score, DonorSearch first pulls data on them from our proprietary philanthropic database through screening. Then, our cutting-edge machine learning technology (found in DonorSearch Ai and Enhanced CORE) analyzes the data, identifies patterns, and assigns scores based on those insights.
MLR scores are available in DonorSearch Ai and Enhanced CORE predictive models, as well as in individual prospect reports created with ProspectView Online 2. And because DonorSearch integrates with more than 40 popular nonprofit CRMs and fundraising tools, it’s easy to automatically transfer MLR scores into supporters’ profiles.
