Case Study: TubeScience achieves faster, more trustworthy data operations with Coalesce

TubeScience Gains an Ad‑Vantage Thanks to Fast and Credible Data

TubeScience, a Los Angeles-based advertising company, needed a better way to manage rapidly growing data pipeline complexity, unreliable manual processes, and low trust in its data across the organization. Its small data team was spending too much time troubleshooting by hand and struggling to deliver accurate, timely insights for internal users and client-facing ad performance reporting. Coalesce was brought in as the data transformation layer on Snowflake.

With Coalesce, TubeScience automated and streamlined its data pipelines, making it easier to build, troubleshoot, document, and scale workflows. The result was a 3x productivity boost for the data team, with one engineer able to do the work of three, ad performance evaluations reduced from hours to instant, and an estimated $260K in salary savings. Coalesce also helped TubeScience speed onboarding from months to just one or two weeks and restore confidence in the data across the business.

TubeScience

Jay Gimple

Chief Data Officer