Collect Google Ads Data into AWS Redshift
Own your Google Ads data in AWS Redshift with OWOX Data Marts. Collect granular, analytics-ready Google Ads data directly into Redshift, 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 an AWS Redshift data storage
Start by connecting your AWS Redshift environment as a storage.
- Choose your AWS region and Redshift database
- Connect either a Redshift Serverless workgroup or a provisioned cluster
- Authenticate securely using AWS IAM credentials
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 AWS Redshift.
- Select the appropriate Google Ads API endpoint
- Choose fields such as impressions, clicks, cost, conversions, and keyword metrics
- Define the destination schema and table in Redshift
Step 4: Run & schedule Google Ads data collection
Once published, control how and when Google Ads data is imported.
- Incremental load to import the current day’s data
- Backfill (custom period) to load historical Google Ads 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 AWS Redshift.
- Analyze performance in Google Sheets or Data Studio
- Join Google Ads data with GA4, CRM, or revenue datasets
- Enable AI Insights for alerts, summaries, or performance questions
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.”
- 0.39.0Backfill any past period
- 0.39.0Facebook Ads imports now retry a corrupted response instead of failing
- 0.38.0Shopify connector: more orders fields, including line-item discounts
- 0.37.0Short links resolve only on known short link services and domains you allow
- 0.37.0Clearer connector errors, and custom connectors that handle more APIs
Turn Google Ads Data into Business Decisions
Schedule a quick walkthrough to see how OWOX Data Marts helps you collect Google Ads data in AWS Redshift, reduce reporting complexity, and scale analytics with confidence.
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