Guide
13 Things to Consider Before Building Marketing Data Pipelines In-House
Building in-house marketing data pipelines is possible but often costly, time-consuming, and resource-intensive. This guide outlines 13 challenges, including ongoing maintenance, integration complexity, and limited data team capacity. While ETL tools can simplify setup, long-term efficiency and value are harder to achieve internally. Funnel offers an alternative with 200+ pre-built connectors, a no-code transformation layer, and adaptive data models, enabling fast, reliable, and scalable data pipelines. It frees up data engineers for high-value tasks and supports marketing teams in achieving a 360° data view efficiently.