Case Study: a global financial services client streamlines keyword categorization with Concord

Global Financial Services Client saves 120+ hours weekly with Concord

The global financial services client faced a challenge in managing tens of thousands of search terms for their website. Their legacy process for sorting these keywords into broader concepts required heavy manual effort from their marketing team, preventing proper analysis and optimization. They engaged Concord's Data Solutions & Analytics service to develop a more profitable and manageable long-term solution.

Concord implemented a combination of supervised and unsupervised learning models to automate the keyword categorization. This solution, powered by AWS Athena and Databricks with a simple Google Cloud and Google Sheets interface, sorted tens of thousands of terms in under five minutes. The results for the client were significant: Concord's approach saved over 120 hours of weekly effort, discovered two new profitable topics, and identified a wealth of new business categories for their search marketing program.