In Episode 4 of Ads DevCast, Google shares best practices for scaling advertising integrations across Google Ads API, Data Manager API, DV360, Google Ads scripts, and Google Analytics.
Key recommendations include respecting rate limits with exponential backoff, implementing structured logging and monitoring, using official client libraries, and caching stable data.
Product-specific tips cover batching operations in Google Ads API and Data Manager API, using Bulk Uploads and parallel execution in Google Ads scripts, leveraging Structured Data Files (SDFs) in DV360, and enabling BigQuery exports plus asynchronous report tasks in Google Analytics.
The episode provides practical guidance for building efficient, resilient, and auditable integrations.
