Case Study: MVF achieves a jump in rescued revenue from £300k to £700k per month with Fivetran

How MVF Increased Rescued Revenue by Implementing a Modern Data Stack

MVF, a customer-generation platform that delivers high volumes of sales leads, faced fragmented data, slow reporting and brittle ingestion pipelines across 20–30 marketing sources, leaving teams with no single source of truth. To solve ingestion and pipeline maintenance challenges they implemented a modern data stack including Fivetran for automated data pipelines (alongside Snowflake and Looker), enabling faster, centralized access to clean data.

Fivetran assumed full responsibility for MVF’s data ingestion—deploying connectors in minutes, completing large historical syncs in about a week, and eliminating ongoing pipeline maintenance—freeing engineers for strategic work. Combined with Snowflake and Looker, this drove measurable impact: rescued revenue rose from ~£300k/month to ~£700k/month, a call-centre insight added ~£50k/month, eight new data sources were integrated, and reports that once took two to three weeks are now live dashboards.

MVF

Stephen Coyne

Head of Analytics