We built an advanced brand tracker so we could help solve the brand puzzle. More and more brands taking a bigger turn towards brand marketing over performance marketing. Marketplaces are becoming oversaturated and it's becoming harder to become noticed by your target audience. And it is also becoming really, really expensive. This is not a sustainable means of growth. But brand marketing is.

Brands know that if they achieve a high level of brand awareness, it will accelerate into sales further along the line. Most importantly, these brands are aware that an investment into brand awareness is an investment into the long-term growth of their business. But they don't know if this investment is making an impact, or if they would get the same results simply burning their money.

That's why we have developed brand analytics. Brand analytics is for brand managers what Google Analytics is for digital marketers. It provides them with an intuitive dashboard where they can see exactly their level of brand performance with target audiences, campaign impact, and how they fare against their competitors. These accurate insights can be used be brand managers to tailor their marketing for their audiences and improve brand performance - leading to growth and sales. Perfect!

Decode GA4 is a BigQuery-native data transformation utility built for teams working with the Google Analytics 4 BigQuery export. GA4 writes event data into deeply nested RECORD and ARRAY structures. Reading a single field such as pagelocation or pagetitle requires a correlated UNNEST subquery, repeated for every field an analyst needs, on a wildcard table that scans every partition. Decode GA4 does that transformation once, properly, and exposes the result as direct columns. The same query becomes simple dot-notation SQL against one predictable table per property.

It is a connector, not a platform. Decode GA4 is subscribed through Google Cloud Marketplace and delivered as a linked dataset via BigQuery Analytics Hub, so it deploys into your existing Google Cloud project and runs on your own BigQuery compute. Your data never leaves your project, there is no egress, and your existing IAM, security and data residency controls still apply.

Processing is metadata-driven and incremental. Each date partition is processed exactly once unless GA4 modifies it upstream, in which case the affected partitions are detected and reprocessed automatically. When GA4 adds new event parameters the output adapts without a full rebuild, so downstream dbt, Dataform and SQLMesh models keep working. Transformed data can be written as compressed Parquet in Cloud Storage and read through external tables, which cuts storage cost and enables export to AWS S3 or Azure Blob Storage.

Pricing is usage-based through Google Cloud Marketplace, from $50 per GiB for the first GiB down to $0.50 per GiB above 500 GiB. There is no subscription and no monthly minimum. Typical cost is $1.50 to $8 a month for sites under 10,000 monthly sessions, billed on your existing Google Cloud invoice.