Case Study: Sharethrough centralizes contextual metadata for faster analytics with Fivetran

Freed from ETL Sharethrough Mining for Pot of Gold at End of Fivetran Data Pipeline

Sharethrough, the industry-leading supply-side native advertising platform that serves more than 12 billion native ad impressions per month, needed to combine its high-volume event stream with business context stored across multiple back-end application databases. Legacy MySQL reporting was sluggish and made ad hoc analysis cumbersome, so Sharethrough adopted Fivetran’s secure, zero-maintenance data pipeline to replicate contextual application data into a central warehouse for analysis.

Fivetran replicated Sharethrough’s metadata (including Salesforce, Google Sheets and application databases) into Snowflake, letting analysts join events with customer and product context via SQL and BI tools like MicroStrategy. The solution delivered much faster ad‑hoc queries, a unified analytic dataset, virtually zero engineering maintenance, and quicker detection of customer issues—enabling Sharethrough to scale context-driven analytics and make faster, data-informed decisions. Fivetran’s pipeline was pivotal in centralizing context and freeing analysts to focus on insights.

Sharethrough

Dave Abercrombie

Senior Staff Engineer