Teams can scale feedback analysis in global social campaigns by implementing centralized feedback management platforms that aggregate data from all regions. Leveraging AI-powered sentiment analysis and natural language processing (NLP) tools automates the categorization and translation of vast amounts of feedback across diverse languages. Establishing standardized tagging taxonomies and reporting frameworks ensures consistency in data interpretation, allowing for global benchmarking and trend identification. This approach enables cross-functional teams to efficiently monitor