Stop Struggling with Data Transfer: Automate Google Ads to BigQuery with OWOX скачать в хорошем качестве

Stop Struggling with Data Transfer: Automate Google Ads to BigQuery with OWOX

👉 Get started free with OWOX Data Marts: https://c.owox.com/cnr8yt In this video, I’ll show you how to connect Google Ads to Google BigQuery — and turn that connection into a reusable analytics system, not just another one-off sync. Yes, BigQuery Data Transfer exists. But if you’ve tried it, you know the deal: it’s tricky to configure across multiple accounts and MCC structures it still requires extra modeling before it’s usable in reports it doesn’t centralize business logic or documentation it doesn’t help you reuse the same logic across Sheets, BI, and AI We’ll fix that by building a central Google 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 Google Ads campaigns, ad groups, ads, keywords and performance metrics into BigQuery schedule automatic daily or intraday updates reuse the same Google Ads Data Mart in Google Sheets and Looker Studio generate AI-powered performance insights on top of your Google Ads data in BigQuery deliver those insights straight into Slack, Microsoft Teams, Google Chat or email Instead of wiring Google 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 Google Ads connector documents the data structure and field meanings (impressions, clicks, cost, 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 Google Ads report for every stakeholder avoid “why doesn’t this number match the dashboard?” conversations deliver answers and insight on a schedule, not through endless tickets What you’ll learn: how to create a Google Ads Data Mart in OWOX how to connect the Google Ads API to BigQuery without writing Python how to configure fields like cost, clicks, impressions, 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 Google 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 Google Ads agencies managing Google Ads for multiple clients teams who want trusted, reusable paid search data instead of fragile, one-off dashboards BigQuery Data Transfer is powerful — but it’s not a full reporting system. You still need a layer that defines the logic once, documents it, and reuses it everywhere. That’s exactly what OWOX Data Marts gives you on top of BigQuery. Timestamps: 00:00 Why Google Ads to BigQuery should be a system, not just a sync 01:51 Architecture overview (OWOX Data Marts + BigQuery) 02:46 Creating the Google Ads Data Mart 03:24 Connector configuration and field selection 04:23 Running the first load and checking BigQuery tables 05:12 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 #googleads #bigquery #marketinganalytics #datawarehouse #owox #datamarts #aianalytics