Google Cloud

Build reliable cloud infrastructure for marketing data, measurement, integrations and activation.

What it is

Google Cloud Platform (GCP) provides the cloud infrastructure behind many modern marketing and measurement environments.

It supports everything from server-side tagging and BigQuery data warehouses to API integrations, automated data pipelines and event-driven applications.

For organisations using Google Analytics, Google Marketing Platform and other Google technologies, Google Cloud can provide the infrastructure that connects data collection, measurement, reporting and activation.

Rather than adding separate tools as new requirements emerge, a well-designed Google Cloud environment creates a scalable foundation that can evolve with the organisation.

Why it matters

Modern marketing increasingly depends on infrastructure that sits behind the platforms marketers use every day.

Server-side tagging needs somewhere to run. Conversion APIs need reliable data pipelines. Marketing data needs to be collected, transformed and stored. Audiences and conversion signals need to move between cloud environments and advertising platforms.

Google Cloud brings those capabilities together within a governed environment, making it easier to connect systems, automate workflows and manage data consistently.

Strong cloud architecture also improves reliability, security and cost control as marketing data and technology requirements grow.

What Louder does

Infrastructure design - project structure, IAM, billing, monitoring, deployment.
Server-side tagging - GTM Server-side on Cloud Run, regional configuration, scaling.
Integrations - event-driven pipelines, scheduled jobs, API services.
Warehouse foundations - BigQuery, Dataform, dbt.
Operational governance - cost monitoring, security baselines, runbooks.

Common challenges

Nobody owns it. Marketing owns the use case, IT owns the project. Requests for access, budget or deployment stall between two teams, and the infrastructure drifts without a clear operator.
Cost surprises. On-demand BigQuery queries, unpartitioned tables and unmonitored egress produce bills nobody forecast. Without budgets, alerts and query governance, the first warning is the invoice.
IAM sprawl. Default service accounts with broad permissions, editor roles handed out to unblock a deadline, and nobody auditing who can touch production data. Convenient at first, a liability at scale.
Set-and-forget server-side tagging. GTM Server-side gets deployed once and never revisited. It falls over during peak traffic, silently drops events, or keeps running on a configuration nobody remembers choosing.
One project for everything. Dev, prod and experiments in a single project, no separation, no safe testing, and billing that can’t be attributed to anything.
Orphaned pipelines. A Cloud Function someone wrote in an afternoon becomes load-bearing. The author leaves, nothing is documented, and the pipeline breaks the week nobody can fix it.