How to get started with our LinkedIn Ads to Snowflake integration

1

Enter your LinkedIn Ads credentials to create a connection.

Connection docs
2

Select a predefined report or specific data to extract from.

Walkthrough
3

Select Snowflake as your target and start loading your data.

Connection docs

See LinkedIn Ads to Snowflake in action

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Greg Robinson

Staff Data Scientist

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"Before, we'd have to do an API integration with a bunch of data engineers to get a single data source into a data warehouse. It took a really long time, was very, very expensive and it was prone to human error. Now, we've dramatically cut all that down with Rivery."

FAQ

Why extract data from LinkedIn Ads?

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.

How often does LinkedIn Ads API update?

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.

What analytics ready data can you extract from LinkedIn Ads API?

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):

How can I use Rivery’s data connectors?

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.

Do data connectors comply with GDPR?

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.

What are the most popular data connectors?

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.

How does Rivery extract data from database integrations?

Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.

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