The system administrator at a nonprofit encounters a 500 server error when trying to map additional objects and fields with Advanced Mapping.
What is likely causing the error?
To predict the likelihood of a contact becoming a recurring donor, the consultant should implement Einstein for Nonprofits. Here's how:
Enable Einstein for Nonprofits:
Ensure that Einstein Analytics and Discovery are enabled in the Salesforce org.
Navigate to the Einstein for Nonprofits setup and configure the necessary settings.
Configure Prediction Models:
Use Einstein Prediction Builder to create a custom prediction model.
Define the criteria and data points that indicate a high likelihood of recurring donations, such as past donation behavior, engagement levels, and demographic information.
Train and Deploy the Model:
Train the prediction model using historical data.
Deploy the model to start predicting which contacts are likely to become recurring donors.
Utilize Predictions in Fundraising Strategies:
Fundraisers can use the predictions to prioritize outreach and engagement efforts.
Customize communication and engagement plans for high-potential recurring donors.
Einstein for Nonprofits leverages AI and machine learning to provide insights and predictive analytics, helping nonprofits make data-driven decisions to enhance donor engagement and fundraising efforts.
Salesforce Einstein for Nonprofits: Einstein for Nonprofits.
Salesforce Einstein Prediction Builder Guide: Prediction Builder.
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