International Journal of Management

With the rise of multi-platform digital ecosystems, marketing intelligence requires fast, automated, and cross-market data integration. Application Programming Interfaces (APIs) allow marketers to retrieve real-time datasets from social media, advertising networks, e-commerce platforms, CRM systems, and third-party intelligence providers. This paper explores the role of API-based analytics in global marketing, examining data interoperability, streaming pipelines, multi-region compliance, and predictive models. A conceptual architecture titled the Global API-Driven Marketing Analytics Model (GAMAM) is introduced, integrating ingestion pipelines, data harmonization layers, analytics engines, and activation modules. Findings show API-centric marketing systems enable faster decision cycles, more accurate demand forecasting, and localized personalization, but face challenges related to data privacy, algorithmic bias, API dependencies, and cross-border data transfers.