TRKKN operates as a Google-certified systems integrator, implementing the Google Marketing Platform stack (Analytics 4, DV360, SA360, Tag Manager) for mid-market and enterprise clients. The tech stack is tightly clustered around Google's ecosystem—Analytics, BigQuery, GCP, Dataform, Cloud Composer—with supporting infrastructure (Kubernetes, Terraform, Docker). Active hiring across sales, data, and marketing in multiple geographies, combined with project focus on analytics migrations and conversion optimization, suggests capacity-building for client-delivery scaling.
TRKKN is a Google Cloud Premier Partner and Google Marketing Platform Sales Partner founded in 2008, headquartered in Hamburg. The company provides implementation services and strategic consulting around digital analytics, marketing technology, and cloud infrastructure—primarily centered on Google's advertiser and analytics tools. Client engagements span web analytics implementation, conversion optimization, DV360 and SA360 campaign configuration, and broader GCP modernization projects. The organization operates with a delivery-focused structure: technical teams handle implementation and migrations; sales teams drive new customer acquisition; data specialists build analytics architectures. With 201–500 employees distributed across Sweden, Portugal, Australia, Germany, and other locations, TRKKN serves leading brands across multiple verticals.
TRKKN's primary stack is Google-centric: Google Analytics 4, Tag Manager, BigQuery, Dataform, Cloud Composer, Looker Studio, DV360, SA360 on GCP infrastructure. Supporting tools include Optimizely, Salesforce, Kubernetes, Terraform, Docker, and Python.
Current projects include Google stack implementation for client growth, migrating clients from basic to advanced analytics, conversion optimization, web analytics implementation, and experiment platform setup. Common pain points are GA measurement integration with DV360/SA360 and GCP migrations.
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TRKKN's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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