A CDP is only as good as the data flowing into it. A lifecycle platform is only as good as the audiences feeding it. A marketing mix model is only as good as the spend, revenue and creative inputs it consumes. Stitch builds the layer underneath.
Three million user records and 500,000 PII records under management for Turners. Two-way data warehouse sync into Microsoft Azure and Power BI for Real NZ. Data Warehouse to Braze via Cloud Data Ingestion for Serko AI. Snowflake-fed reverse ETL into Customer.io for Skills Group.
Selected work
FAQ intro
What marketing, product and finance leaders ask us about owning their data layer.
What we do
- Warehouse build-outs on Snowflake, BigQuery and Microsoft Azure
- Reverse ETL via Hightouch and Census from warehouse to activation tools
- Server-side data ingestion via Stape, GTM, Cloud Data Ingestion and HTTP APIs
- Identity resolution and PII governance
- Looker Studio, Power BI and Tableau dashboards tied to operational metrics
- Custom MCP server development for AI-native operating models
FAQ
Do you build the warehouse from scratch?
Often, yes. Greenfield Snowflake or BigQuery deployments are common.
Do you do reverse ETL?
Yes. Hightouch and Census are core tools.