ETL from LinkedIn Ads to Firebolt in a few clicks
- Leverage LinkedIn Ads data in Firebolt for advanced analytics
- Build scalable, production-ready data pipelines in hours, not days
- Extract data from LinkedIn Ads and load into Firebolt without code
- Complete your entire ELT pipeline with SQL or Python transformations
- Centralize LinkedIn Ads data in Firebolt for unified access and analytics
How to get started with our LinkedIn Ads to Firebolt integration
See LinkedIn Ads to Firebolt in action
Put your LinkedIn Ads data to use.Deliver LinkedIn Ads data at the right time, to the right people.
Everything you need to simplify advanced data integration
Zero Infrastructure to Manage
Managed SQL/Python Modeling
Predictable Value-Based Pricing
Reduced Data Development Waste
No-Code Any Data Ingestion
Efficient Database Replication
Infinite Scale
Integrated Data Activation
Proactive Troubleshooting
Bring all your data together. Integrate data from anywhere
Greg Robinson
Staff Data Scientist
Load LinkedIn Ads to any data lake or warehouse
FAQ
Integrating LinkedIn Ads with other data sources can streamline your data management and supercharge your marketing analytics.
Here are a few key reasons to extract data from LinkedIn Ads:
- Understanding What Works: Extracting LinkedIn Ads data lets you see how well your campaigns are performing—like which ads are driving clicks, engaging professionals, or converting leads. It’s essential for figuring out what’s working and optimizing your strategy.
- Getting to Know Your Audience: LinkedIn Ads provide deep insights into the professionals engaging with your content—their job titles, industries, and company sizes. By analyzing this data, you can refine your targeting and focus on reaching the decision-makers who matter most to your business.
- Measuring ROI: To know if your ad spend is delivering value, you need to track performance metrics. By extracting LinkedIn Ads data, you can compare your spend with the outcomes, ensuring your investments are driving the right results.
- Creating Custom Reports: Standard reports often don’t tell the full story. By extracting your LinkedIn Ads data, you can combine it with other datasets, like CRM or financial data, to create reports tailored to your specific business needs.
- Connecting the Dots: Integrating LinkedIn Ads data with other marketing tools or platforms helps you see the bigger picture—how LinkedIn fits into your overall marketing strategy and its impact on your other campaigns.
- Optimizing Your Ads: Use your data to automate ad optimizations—adjusting bids or pausing underperforming ads—ensuring every dollar spent is driving the best possible results.
With Rivery, extracting and leveraging your LinkedIn Ads data has never been easier.
All changes made to the LinkedIn Ads API can be found here.
On average the API updates once a month. Rivery manages the LinkedIn Ads integration for you, so you don’t need to worry about API upgrades breaking your data pipelines. Rivery will continually maintain the integration with the latest API versions. Most upgrades would be seamless requiring no action on your end. If any API version change require your attention — like added, removed, or modified reports/data fields that you may be using — Rivery will notify you ahead of time with the details and any possible actions required.
Rivery offers a set of Predefined Reports for LinkedIn Ads for rapid data integration. Using these reports, you can quickly analyze the data without having to learn the intricacies of the way the data is organized within the LinkedIn Ads API. Simply provide your LinkedIn Ads credentials and choose the report to load into your cloud data warehouse.
The LinkedIn Ads data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):
Using Rivery’s data connectors is very straightforward. Just enter your credentials, define the target you want to load the data into (i.e. Snowflake, BigQuery, Databricks or any data lake and auto map the schema to generate on the target end. You can control the data you need to extract from the source and how often to sync your data. To learn more follow the specific docs.
Yes. All data connectors within Rivery comply with the highest security and privacy standards, including: GDPR, HIPPA, SOC2 and ISO 27001. In addition, when the data flows into your target data warehouse, you can configure it to do so via your own cloud files system vs. Rivery.
The most popular data connectors are for use cases like marketing, sales and finance. These include Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok and more.
Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.