Case Study: Tinuiti builds an AI-ready data lake and speeds client onboarding with Fivetran

Tinuiti builds a scalable data lake for AI-driven marketing

Tinuiti, the largest independent full-funnel performance marketing agency in the U.S., needed a modern data foundation to scale its AI-driven marketing and analytics. Its legacy architecture relied on manual pipelines, fragmented schemas, and a limited warehouse setup that slowed customer onboarding, created performance bottlenecks, and required engineers to spend dozens of hours each month maintaining API connectors.

Using Fivetran’s Managed Data Lake Service, Tinuiti centralized marketing data in an Amazon S3 data lake, automated ingestion from 700+ connectors, and converted data into Apache Iceberg with AWS Glue catalog support. With Fivetran, Tinuiti cut data source setup time from 2-4 weeks to under an hour, accelerated client onboarding by 120x, reduced manual pipeline maintenance by at least 80%, lowered compute costs, and freed engineers to focus on AI, analytics, and predictive modeling.

Tinuiti

Lakshmi Ramesh

VP of Data Services