Case Study: CBT Nuggets achieves clearer marketing attribution and smarter channel insights with Rockerbox

How CBT Nuggets Uses Rockerbox to Build Marginal Attribution Models

CBT Nuggets, a subscription provider of IT and professional training content, needed a better way to measure marketing performance across channels. Before using Rockerbox, the team relied heavily on Google Analytics and platform-reported data, but found the numbers inconsistent and difficult to trust, especially for tracking channels like YouTube and understanding full customer paths to conversion.

With Rockerbox, CBT Nuggets centralized its marketing data, combined post-purchase survey responses with user-level conversion paths, and built its own marginal attribution models. Rockerbox helped shift credit toward previously undercounted channels like YouTube, gave the team clearer insight into flawed Google Analytics reporting, and saved about half the cost of an additional full-time data employee. As a result, CBT Nuggets used Rockerbox to improve its marketing mix decisions, starting with display.

CBT Nuggets

Matt Nickerson

Director of Data Analytics