Precise Prediction is designed for ministries who want a deeper understanding of how various factors—such as budget, experience, and education—affect pay. It allows unlimited analyses for any number of employees and locations, and uses powerful AI and statistical analysis to precisely forecast salary ranges and analyze compensation trends.
Note: The Precise Prediction tool is only available to Pro+ Members.
Note 2: The “Beta” label indicates that this first iteration of ChurchSalary’s AI model is still in development. Please treat its predictions as a good first start or as a second opinion for your own analysis. They are by no means definitive or authoritative at this point. As the model improves and goes through retraining cycles, the accuracy of its predictions will increase.
How to Use Precise Prediction
Log in to your ChurchSalary account and navigate to your Dashboard.
Scroll down to your Employees section and select an Employee Profile.
Then click the Precise Prediction button in the Applications section.
All of the prefilled information from your Church Profile and selected Employee Profile will automatically show up here. But you can also change and customize any of those variables you'd like. You'll be able to generate unlimited reports with different combinations of data, so feel free to play around and make changes to see how changing each factor influences the results.
💡 Tip: The accuracy of your prediction depends on how complete and up to date your Employee Profile is. Be sure to review position title, church size, budget, and other relevant fields before generating a report.
Once you have everything set the way you want, click Generate Prediction.
ChurchSalary's AI model will predict the salary for the role as you've described it. Remember that ChurchSalary’s AI model is still in development. This prediction is best used as a good first start or as a second opinion for your own analysis, and is by no means definitive or authoritative at this point. As the model improves and goes through retraining cycles, the accuracy of its predictions will increase.
How does the ChurchSalary AI Model work?
The Director of ChurchSalary, Aaron Hill, worked closely with Dr. Marcus Schwarting (PhD, Univ. of Chicago) to create an AI model that would output a total salary prediction based on a set of inputs.
To do this, the entirety of ChurchSalary’s 2.0 dataset was combined with location data in order to train an internal AI model — essentially a mathematical model — that weighs a wide array of inputs in order to generate a single output or prediction. The final ChurchSalary AI model was trained to predict total salary using the following variables as input.
Employee
Position
Status (FT/PT)
Experience (relevant)
Education
Ordination status
Church
Budget
Size
Location → four key metrics are sourced at two levels: (1) County and/or (2) Metro/Micropolitan Statistical Area or (3) PUMA (Public Use Microdata Area).
Cost of Living Index
Median Household Income
Per Capita Income
Median Age





