Google Ads integration
Google Ads data in your warehouse: Structured, managed, and always up to date
We pull 20+ data streams from the Google Ads API daily, deliver the raw data straight to your warehouse, and layer on a structured, business-ready dataset mapped to your organizational hierarchy. Fully managed. No engineering maintenance required.
Marketing intelligence that drives growth
Raw data and structured data, delivered to your warehouse
Most data tools give you one or the other. We give you both.
The raw Google Ads data — every field, every metric, exactly as the API returns it — piped directly to your data warehouse. Plus a structured dataset on top: campaigns mapped to your business hierarchy, metrics standardized across channels, ready for reporting and analysis.
The raw data is there for your analysts and engineers to query however they want. The structured data is there so your marketing and finance teams can use it without writing SQL.
Every field Google Ads exposes, in your warehouse
We extract the full dataset from the Google Ads API — campaigns, ad groups, keywords, search terms, conversions, audiences, geographic performance, competitive metrics — and deliver it to your warehouse tables as-is. No transformation, no filtering. Your data team can query it directly.
- Full API extraction — nothing filtered out
- Delivered to your own warehouse (BigQuery, Snowflake, etc.)
- Daily incremental syncs with conversion backfill
- Historical backfill of 2–3 years on setup
Business-ready data mapped to your hierarchy
On top of the raw data, we build a structured layer. Campaigns are mapped to your organizational hierarchy — by brand, product line, market, or however you run your business. Metrics are standardized so Google Ads sits alongside every other channel in the same format.
- Mapped to your business hierarchy (brand, market, product)
- Standardized metrics across all channels
- Same structure as Meta, TikTok, offline, and 600+ other sources
- Updated automatically as campaigns change
From warehouse tables to decisions
With both layers in your warehouse, your team can do everything from ad hoc queries on raw campaign data to cross-channel reporting on the structured dataset. And if you use the Odins platform, the same structured data feeds marketing mix modeling, scenario planning, and monthly recommendations.
- Ad hoc analysis on raw Google data
- Cross-channel reporting on structured data
- Feed your own BI tools (Looker, Tableau, Power BI)
- Optional: plug into Odins for modeling and optimization
We handle the API — you use the data
Google's API changes. Tokens expire. Schemas update. Rate limits shift. We handle all of it. Automated monitoring catches issues before they affect your data. If something breaks, we fix it — usually before you notice.
- API connection and authentication managed
- Schema changes handled automatically
- Automated monitoring and alerting
- No engineering resources required from your side
What we pull from Google Ads
Over 20 data streams syncing daily — campaign structure, performance, audiences, keywords, and competitive metrics.
Campaign & performance
Spend, impressions, clicks, conversions, ROAS, CPA across Search, Display, Shopping, Video, PMax, and App campaigns. All attribution models included.
Keywords & search terms
Keyword-level bids and quality scores, actual search term reports showing what users typed, match type performance.
Audience & geographic
Demographic breakdowns (age, gender, income), audience segments, geographic performance by country/region/city, device splits.
Competitive intelligence
Impression share, lost impression share (rank and budget), auction insights, top-of-page rates. See where you're winning and where you're losing ground.
Built for teams who need Google data, not another dashboard
We need Google data in our warehouse but don't want to maintain the pipeline.
You want the data, not the engineering project. We connect, sync, and maintain — you query.
We have Google data, but it's siloed from everything else.
We structure Google alongside every other channel — same format, same hierarchy, same warehouse.
We want raw data for analysts AND clean data for business teams.
You get both. Raw tables for SQL. Structured data for reporting. Same pipeline.
Not another connector tool — a managed data service
We're not handing you a self-serve connector and wishing you luck. We set up the integration, map it to your business structure, backfill historical data, and maintain everything going forward.
API changes, token refreshes, schema updates, rate limits — all handled. Your data team gets clean tables in their warehouse. Your marketing team gets structured reports. Nobody maintains a pipeline.
Want Google Ads data in your warehouse?
Book a walkthrough. We'll show you what the raw data and structured dataset look like for your specific Google Ads setup.
Discuss your needs and challenges
Explore the most relevant features of Odins
See how to unlock more value from your data
Trusted by marketers world wide
Frequently Asked Questions
BigQuery, Snowflake, Redshift, Databricks, and others. We deliver to wherever your team works.
Both. Raw API data in its original schema, plus a structured layer mapped to your business hierarchy.
Daily incremental syncs. Conversion data is backfilled as attribution windows close (up to 30 days).
2–3 years typically, depending on what Google's API exposes for your account.
Yes. Multiple accounts across markets/brands get consolidated into one structured view.
We handle it. Schema changes, deprecations, new fields — all managed by our team.
No. We handle the full setup: API connection, historical backfill, business hierarchy mapping, and warehouse delivery.
Yes. The same structured data feeds Odins' marketing mix modeling, scenario planning, and recommendations. You can start with just the data and add analytics later.
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