Collect Google Ads Data into Google BigQuery
Own your Google Ads data in Google BigQuery with OWOX Data Marts. Collect granular, analytics-ready data directly into BigQuery, control schema and refresh logic, and reuse it across BI tools and AI Insights.
Google Ads Endpoints
9 Google Ads endpoints you can import. Each lands in its own table in your warehouse.
Ad Group Ads Stats
Daily performance for individual ads — impressions, clicks, cost, and conversions.
26 fieldsTime seriesAd Groups
Your ad group settings — type, status, and bid configuration within each campaign.
9 fieldsAd Groups Stats
Daily ad group performance — impressions, clicks, cost, and conversions.
24 fieldsTime seriesCampaigns
Your campaign settings — channel type, bidding strategy, budget, and scheduling.
11 fieldsCampaigns Stats
Daily campaign performance — impressions, clicks, cost, and conversions.
28 fieldsTime seriesCriterion
Ad group targeting criteria — keywords, placements, and negative exclusions with bid settings.
17 fieldsGeo Stats
Daily performance by country and targeting type — impressions, clicks, cost, and conversions.
18 fieldsTime seriesGeo Target Constants
Reference table of geographic targets — join with geo_stats on country_criterion_id to resolve country names.
7 fieldsKeywords Stats
Daily keyword performance — impressions, clicks, cost, conversions, and quality score.
26 fieldsTime series
Step 1: Create a Google BigQuery Data Storage
Start by connecting your own Google BigQuery project as a storage.
- Use your own BigQuery project and datasets
- Keep full ownership of Google Ads data
- No third-party data warehouses
Step 2: Create a Google Ads Data Mart
Create a new Data Mart and choose Connector as the definition type.
- Select Google Ads as the data source
- Connect your Google Ads account
- No API coding or engineering required
Step 3: Select Fields & Configure Data Import
Choose exactly which Google Ads data you want to store in BigQuery.
- Select the appropriate Google Ads reporting resource
- Choose fields such as impressions, clicks, cost, conversions, and campaign attributes
- Define the destination dataset and table name in BigQuery
Step 4: Run & Schedule Google Ads Data Collection
Once published, control how and when Google Ads data is imported.
- Incremental load to import current day data
- Backfill (custom period) to load historical data
- All runs are logged and visible in Run History
Step 5: Use Google Ads Data Across BI Tools & AI Insights
Your Google Ads data is now available in Google BigQuery.
- Analyze data in Google Sheets or Data Studio
- Join Google Ads data with GA4, CRM, or revenue tables
- Enable AI Insights to ask questions or receive alerts
Every claim has a receipt.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Nodari RizunFounder & CEO, Pürblack®“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”
- 0.37.0Short links resolve only on known short link services and domains you allow
- 0.36.0Resolve short links in every ads connector, with nested paths and a per-Data-Mart cache
- 0.34.0Temporary BigQuery faults no longer fail the whole import
- 0.33.0Calculated Fields in the Output Schema
- 0.33.0Cheaper incremental imports into Google BigQuery
Turn Google Ads Data into Business Decisions
Schedule a quick walkthrough to see how OWOX Data Marts helps you collect Google Ads data in BigQuery, reduce reporting chaos, and scale analytics with confidence.
Get Started Free- Internal OWOX data as of 2026-10-02
- G2 reviews of OWOX
- npm installs stat
You are booked. The invitation is on its way to , with the calendar invite and the meeting link.