How to Schedule BigQuery Queries for Looker Studio Without Duplicates (Agency Analytics Setup)
In this video, I walk through a real production Looker Studio dashboard I built for a marketing agency client and explain how to correctly schedule BigQuery queries without breaking your data.
This is based on mistakes I made the hard way while building agency dashboards using Facebook Ads, Google Ads, and BigQuery as the backend.
What you will learn in this video:
How scheduled queries actually work in BigQuery
Why append mode often causes duplicated data
When to use overwrite vs append for agency dashboards
How query frequency impacts data accuracy and BigQuery cost
How to structure scheduled queries so Looker Studio stays fast and stable
How to safely send fresh data back to Looker Studio without bugs
This setup is designed for:
Marketing agencies running Facebook and Google Ads
Analytics engineers building Looker Studio dashboards
Data analysts working with BigQuery
Anyone replacing Supermetrics or struggling with slow dashboards
This is part of my Looker Studio and Data Engineering series, where I break down real production pipelines used to manage large ad spend datasets.
If you are building dashboards for clients and want them fast, accurate, and scalable, this approach will save you months of trial and error.
If you want help designing or building a production-ready analytics pipeline using BigQuery and Looker Studio, feel free to reach out.
Email: [email protected]