Marketing Data Connectors: A Unified Integration Architecture for Multi-Platform Attribution

Attribution models are only as good as their data — yet marketing data is fragmented across dozens of platforms with incompatible schemas, rate limits, and authentication models. This paper presents a unified connector architecture that normalizes data from Facebook Ads, Google Ads, TikTok, LinkedIn, Salesforce, and 40+ additional platforms into a canonical attribution event model. The framework includes OAuth2 authentication, intelligent rate limiting, schema validation, and incremental sync — providing the data infrastructure layer for Robinson (2026a) through (2026h).