Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an instructional platform paired with progress monitoring. Then, we discuss decision making within a DBI framework and highlight how diagnostic data informs instructional adaptations. Finally, we emphasize the on-going use of DBI to determine the best set of instructional practices in math for each student.