The text explains how businesses can predict the conversion rate of future advertising campaigns by using a Regression Model with a Decision Tree Regression Algorithm, which helps find correlations between advertising spend and conversion rates. It details a step-by-step tutorial using Datagran to create a pipeline, select data sources, prepare datasets, and separate data into training, testing, and prediction sets. The text emphasizes the importance of using tools like Datagran to quickly test and deploy models, enabling companies to make timely decisions. It culminates in running the model, examining the results, and integrating the outcomes into business applications, all within a low-code environment that enhances operational agility.