How much does it cost to replicate data from Google Ads to Google BigQuery?

The cost depends on the amount of data in your Google Ads that you want to replicate to Google BigQuery. Check out our [pricing page](https://renta.im/pricing/) for more information. You can also [request a demo](https://renta.im/demo/) at any time!

Is there a limit on the amount of pipelines from Google Ads to Google BigQuery?

The amount of data streams you can create is not limited. Moreover, the amount of created integrations does increase the data replication price either.

How much time do I need to create a Google Ads and Google BigQuery integration?

Renta's user-friendly interface allows you to create integrations in less than 5 minutes. All you need to start is your login data to Google Ads and Google BigQuery.

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ETL Google Ads data to Google BigQuery

Renta ELT is a simple way to create data pipelines in minutes. Not months.

Trusted by teams at

Google Ads is a leading platform for digital advertising and campaign management.
Renta Marketing ELT seamlessly transfers your Google Ads data to Google BigQuery, enabling fast, automated, and secure analytics.
Unlock deeper marketing insights and empower your team to make data-driven decisions with ease.

Set up your ELT pipeline in 3 simple steps

Select Google Ads as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Ads as the data source in Renta.

1Connect your source

Select Google Ads as your data source and securely authenticate your account to initiate the data extraction process.

2Identify the destination

3Configure and synchronize

The data structure of the Google Ads API

Renta supports 7 methods of data export using the Google Ads API.

Customers

Represents Google Ads accounts and provides access to account-level information such as account settings, currency, time zone, and status.

Campaigns

Contains data about advertising campaigns, including campaign type, status, budget, targeting settings, and performance metrics.

AdGroups

Organizes ads within a campaign and includes details such as ad group name, status, bid settings, and targeting criteria.

Stores individual ad creatives and their properties, such as ad type, headline, description, status, and associated ad group.

Keywords

Manages keyword targeting for ad groups, including keyword text, match type, status, and performance data.

Reports

Provides access to aggregated performance data across various entities (e.g., campaigns, ad groups, keywords), supporting custom queries for analytics and optimization.

Conversions

Tracks and stores conversion actions, allowing measurement of user interactions that are valuable to the business, such as purchases or sign-ups.

Use cases

Unlock actionable Google Ads insights

Unify Google Ads spend with revenue data to measure true ROAS by campaign.
Automate daily reporting on keyword performance across multiple accounts in BigQuery.
Detect underperforming ads by blending click data with on-site engagement metrics.
Attribute conversions to specific ad creatives using cross-channel data in BigQuery.
Forecast campaign results by analyzing historical Google Ads and sales data together.
Identify wasted ad spend by correlating impressions with downstream conversions.