In digital publishing, programmatic yield optimization requires analyzing billions of real-time ad requests without latency spikes or ballooning operational costs. Operating across multiple disconnected cloud environments often traps adtech companies between prohibitive egress fees and fragmented user access controls. AdGoat is an Argentine advertising technology company that manages over 100 web properties, processes more than 10 billion ad requests annually, and serves 10 million monthly visitors across a platform engineered to maximize publisher monetization.

Prior to migrating, the company maintained its production workloads across disparate environments, resulting in monthly infrastructure bills between $20,000 and $22,000. As a certified Google Publishing Partner and Multiple Customer Management Partner, AdGoat’s commercial pipelines and audience analytics already relied heavily on Google Ad Manager 360 and Google Workspace. Moving ad request logs and marketing data across third-party environments incurred continuous data egress charges and required maintaining redundant identity and permission systems.

Growketing, a Google Partner agency collaborating with AdGoat on digital growth and performance marketing, identified the operational opportunity and pitched a full consolidation onto Google Cloud. Unifying on Google Cloud offered direct synergy with AdGoat’s advertising pipelines, centralized access governance through Google Workspace accounts, and unlocked structured support through Google Cloud commercial programs.

"Partnering with Growketing and migrating our infrastructure to Google Cloud transformed how we scale our business," says Federico Buciak, CEO. "Beyond reducing our monthly operational costs by 50%, it gave us the speed, reliability, and global reach required to serve billions of ad requests seamlessly while expanding into new high-value business lines."

AdGoat completed its cloud migration in under three months, accelerating deployment by using Gemini to parse technical documentation. The team consolidated fragmented workloads onto serverless Cloud Run and Cloud Run Jobs, paired with Cloud CDN and Cloud Load Balancing to deliver web assets across more than 100 properties. App Engine was deployed to host server-side Google Tag Manager containers, while Cloud SQL and BigQuery unified transactional databases and performance analytics without egress friction.

"Migrating our entire multi-site ecosystem to Google Cloud was a game-changer," says Dami Epsztein, CTO. "Solutions like Cloud Run and Cloud CDN allowed us to consolidate complex services into a clean architecture in under three months, simplifying user access and drastically reducing infrastructure overhead."

Handling 10 billion ad requests annually requires analyzing high volumes of unstructured data. AdGoat uses the Gemini API and Gemini platform in daily pipelines with custom prompt-tuning and image OCR to extract real-time pricing and offers.

"Integrating Gemini models into our data pipelines transformed our web processing," notes Epsztein. "We evaluate content in real time with high precision, driving optimized audience segmentation for our advertising partners."

Supported by Google for Startups AI First, AdGoat established an agentic builder culture. This architecture enabled First Party Goat, an AI-powered B2B platform that lets publishers monetize first-party data without passing raw records to demand-side platforms.

Migrating to Google Cloud reduced AdGoat’s monthly infrastructure expenses by 50%. Transitioning from self-serve billing to a structured Modern Enterprise Agreement and leveraging the Rapid Migration Program (RaMP) enabled the team to consolidate 16 active projects under a unified billing framework while optimizing overall cloud investment by 50%.

With a unified platform in place, engineering shifted focus from managing multi-cloud friction to product innovation. Data flows natively between BigQuery and Google Ad Manager 360, while Cloud Run, Cloud SQL, and App Engine provide automated scaling across 100+ properties without ongoing administrative overhead.

"By leveraging Google Cloud's ecosystem and advanced AI capabilities, we are changing how our company operates from the ground up," says Buciak. "We are empowering every member of our team to build smarter solutions, turning massive audience data into actionable assets for our clients faster than ever before."

This agility enabled First Party Goat, an audience monetization offering expanding to retailers and financial institutions that want to package and monetize first-party data directly without relying solely on demand-side platforms. AdGoat is now scaling First Party Goat as a standalone business running parallel to its core adtech platform, with Google Cloud powering both.

Internally, AdGoat is cultivating an agentic culture where employees across departments deploy AI agents connected to central business knowledge. Every step is guided by a human-in-the-loop principle: AI enables, but people decide.

For growing startups, AdGoat’s advice is clear: choose a long-term platform partner early to avoid the hidden operational costs of switching mid-growth.