Summary
The article provides a solution for Facebook Reach Deduplication in BigQuery using Python. Reach, a unique metric in Facebook Ads, can cause discrepancies in data. The author suggests a Reach & Frequency pipeline in BigQuery to calculate unique reach. This involves structuring and extracting data from the Facebook Marketing API, generating date ranges, making API requests, uploading data to BigQuery, and visualizing it in Looker Studio.