We integrate the platforms performance teams already run: Amazon Ads, Google, Meta, TikTok, programmatic, plus Snowflake, Databricks, BigQuery, AWS, dbt and Airflow.
The stack is fine, the seams are the problem
Almost every team we meet already owns capable tools. Spend sits in four ad platforms, there is a warehouse someone provisioned, and a BI licence nobody has fully rolled out. The failure is never a tool choice, it is the seams: no reliable path from platform to warehouse, no shared metric definitions once the data lands, and nothing watching whether any of it is still running. That is the work.
What we do across the stack
- Ingestion and normalization from every major ad platform and retail media network
- Warehouse implementation and modeling on Snowflake, BigQuery, or Databricks
- Orchestration and transformation with Airflow and dbt, version-controlled and tested
- Server-side tracking and conversions API work where measurement is the gap
- Monitoring across the whole path so a broken feed surfaces before a client sees it
- Migration between platforms when the current one genuinely is the constraint
How we work
Start from the stack you already own and the reporting you already owe clients
Fix the seam with the largest reporting impact first rather than proposing a rebuild
Standardize definitions in the warehouse so every tool downstream agrees
Hand over documented, testable infrastructure your team can extend
Typical stack
Frequently asked questions
No, and we will usually argue against it. Migration is expensive and rarely addresses the real problem, which is normally integration and modeling rather than the platform itself. We recommend a change only when a specific limit is genuinely blocking you, and we say what the migration will cost before you commit.
Ask. This list is what comes up most often, not the boundary of what we integrate. If a platform exposes a reporting API or scheduled file export, ingestion is generally straightforward, and we will tell you plainly if it does not.
Technologies pages cover building software: languages, frameworks, and the engineers behind them. Platforms pages cover getting marketing and commerce data flowing through the tools your media and analytics teams already use. Some subjects appear in both because both questions are real.