Analyze Google Ads campaigns directly in your DW

Google Ads is an online advertising platform developed by Google that allows businesses and advertisers to create ad campaigns for display in various formats, such as search, display, video, and mobile apps.

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Create a single source of truth

Connect Google Ads with the leading data warehouses on the market

Google Ads + Amazon S3

Google Ads + Azure SQL Server

Google Ads + BigQuery

Google Ads + Databricks

What is Erathos?

Unify Google Ads data and maximize your campaign ROI

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data in a single analytical environment and build a Data Warehouse in minutes.

Why Erathos?

From Google Ads to your Data Warehouse in minutes

Plug and play connectors

Connect Google Ads with more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your data into a single analytics environment, ready to generate actionable insights.

Greater control over pipelines

Create Google Ads data pipelines quickly: select the relevant data, set the schedule, frequency, and refresh type without writing a single line of code. You stay in full control, with complete flexibility.

Edge observability

Monitor your Google Ads pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data is always up to date and reliable.

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Our customers

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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Matheus Gobato Nunes

CTO & co-founder @WePayments

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Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

Select your data warehouse

Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Which Google Ads metrics can I bring into the Data Warehouse?

Erathos’ integration with Google Ads lets you export campaign metrics, audience data, conversions, cost per click, impressions, and channel-level performance data. All of this incrementally and without code.

Are Google Ads data synchronized incrementally?

Yes! The Google Ads integration via Erathos is incremental by default: only new or changed data is synced on each run. This ensures efficient pipelines, lower processing costs, and data that’s always up to date in your Data Warehouse.

Can I test the Google Ads integration for free?

Yes! You can test the Google Ads integration for free for 14 days. Just connect Google Ads as a new source—you’ll have two weeks to validate whether the connector meets your needs before any charges apply.

Which data warehouses can I send Google Ads data to?

With Erathos, you can send Google Ads data to the leading data warehouses on the market: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose the destination and configure the pipeline in minutes, no code required.

Does Erathos integrate Google Ads directly with other systems?

No. Erathos does not perform direct integrations between Google Ads and other systems ("point-to-point"). Our focus is on centralizing Google Ads data in a Data Warehouse, creating a single source of truth so your company can make decisions based on reliable data.