Facebook Ads to BigQuery on Autopilot (+ Google Sheets & AI Insights) скачать в хорошем качестве

Facebook Ads to BigQuery on Autopilot (+ Google Sheets & AI Insights)

👉 Get started free with OWOX Data Marts: https://c.owox.com/cnr8yt In this video, I’ll show you how to connect Facebook (Meta) Ads to Google BigQuery — and turn that connector into a reusable analytics system, not just another one-off integration. BigQuery Data Transfer works great for Google products like GA4 and Google Ads — but *not* for Meta Ads. So most teams end up using complex ETL tools, custom scripts, or manual CSV uploads just to get Facebook Ads data into BigQuery. It’s fragile, expensive, and hard to control. We’ll fix that by building a central Facebook Ads Data Mart in OWOX that loads data directly into BigQuery and then reuses it everywhere. By the end, you’ll be able to: load Facebook Ads campaigns, ad sets, ads and performance metrics into BigQuery schedule automatic daily or intraday updates reuse the same Facebook Ads data mart in Google Sheets and Looker Studio generate AI-powered performance insights on top of Meta Ads data stored in BigQuery deliver those insights straight into Slack, Microsoft Teams, Google Chat or email Instead of wiring Facebook Ads directly into a dashboard and hoping it doesn’t break, we’ll build a central Data Mart in OWOX that: owns the logic and configuration for your Meta Ads connector documents the data structure and field meanings (impressions, clicks, reach, spend, conversions, ROAS, etc.) controls historical backfill and incremental sync windows feeds multiple tools (Sheets, BI, AI) from one trusted BigQuery table keeps BigQuery as your single analytics backbone across channels This approach helps data and marketing analysts: stop rebuilding the same Facebook Ads report for every stakeholder avoid “why doesn’t this number match the other report?” conversations deliver answers and insight on a schedule, not through endless tickets What you’ll learn: how to create a Facebook Ads Data Mart in OWOX how to connect the Facebook Marketing API to BigQuery without writing Python how to configure fields like impressions, clicks, CPC, CPM, conversions, revenue and ROAS how to set up historical backfill plus safe incremental loads how to reuse the same data mart in Google Sheets and Looker Studio how to generate AI insights from your Facebook Ads performance data how to send those insights directly to your team’s chat tools and inboxes Who this is for: data analysts working with BigQuery marketing analysts and performance marketers running Meta campaigns agencies managing Facebook Ads for multiple clients teams who want trusted, reusable paid social data instead of fragile, one-off dashboards If you’re serious about modern marketing analytics, just “having Facebook Ads data in BigQuery” isn’t enough. You need a system around that data — and that’s exactly what OWOX Data Marts gives you. Timestamps: 00:00 Why Meta / Facebook Ads to BigQuery should be a system, not just a sync 01:53 Architecture overview (OWOX Data Marts + BigQuery) 02:40 Creating the Facebook Ads Data Mart 03:24 Connector configuration and field selection 04:23 Running the first load and checking BigQuery tables 05:10 Scheduling daily and intraday syncs 05:43 Reusing the same Data Mart in Google Sheets and Looker Studio 06:40 Generating AI insights and sending them to Slack / Teams / email #facebookads #metaads #bigquery #marketinganalytics #datawarehouse #owox #datamarts #aianalytics