The challenges of operating a global scale come with the need to balance standardization and localization in content strategies, as different regions have unique audiences and cultural differences that must be considered. A multi-space strategy is proposed, where a global space contains all content for all regions, and each region has its own space populated with content from the global space, allowing full autonomy without governance complexities. This approach enables scalability and reduces front-end complexity, ensuring consistency in the content model across markets and reducing human error during replication. The setup also allows for 80% of global content to be reused, with 20% being adapted to local markets, achieving a balance between global strategy and local execution. Implementing AI-based translation pipelines and A/B testing are possibilities to further enhance this strategy.