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

The cost depends on the amount of data in your LinkedIn 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 LinkedIn 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 LinkedIn 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 LinkedIn Ads and Google BigQuery.

Contact sales

ETL LinkedIn Ads data to Google BigQuery

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

Trusted by teams at

LinkedIn Ads is a powerful platform for reaching professional audiences and driving business growth.
Renta Marketing ELT seamlessly moves your LinkedIn Ads data into Google BigQuery, ensuring fast, secure, and automated updates for all your analytics needs.
Unlock deeper insights and optimize your marketing strategies with reliable, up-to-date data at your fingertips.

Set up your ELT pipeline in 3 simple steps

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

Selecting LinkedIn Ads as the data source in Renta.

1Connect your source

Select LinkedIn 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 LinkedIn Ads API

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

Accounts

Represents LinkedIn Ads accounts, providing details such as account name, status, currency, and associated users. Essential for managing and organizing advertising activities.

Campaigns

Contains information about individual ad campaigns, including objectives, status, start and end dates, and associated account. Used to structure and monitor advertising initiatives.

Ad Creatives

Stores data on ad creatives, such as images, videos, headlines, and descriptions. Enables management and retrieval of creative assets used in campaigns.

Ad Analytics

Provides performance metrics for ads, campaigns, and accounts, including impressions, clicks, spend, and conversions. Critical for reporting and optimization.

Audiences

Manages audience segments and targeting criteria, such as demographic filters, company lists, or retargeting groups. Facilitates precise ad delivery.

Leads

Captures lead generation data from LinkedIn Lead Gen Forms, including contact information and form responses. Supports integration with CRM and marketing automation systems.

Ad Accounts Users

Lists users with access to ad accounts, detailing roles and permissions. Useful for managing team collaboration and access control.

Use cases

Unlock actionable LinkedIn Ads insights

Combine LinkedIn Ads spend with CRM data to measure true campaign ROI by segment.
Track lead quality from LinkedIn Ads by matching ad clicks to downstream sales in BigQuery.
Analyze LinkedIn audience engagement trends alongside website traffic for deeper insights.
Automate LinkedIn Ads performance dashboards with real-time data in BigQuery.
Identify high-performing ad creatives by correlating LinkedIn metrics with conversion data.
Optimize budget allocation by comparing LinkedIn Ads cost per lead across regions in BigQuery.