Facebook Ads to PostgreSQL: Steps to Move Data

Marketing teams often need to analyze their online advertising data in conjunction with other data to generate actionable insights. This may be sales data or data related to other marketing channels. To do this, all the data needs to be in a single database or data warehouse for easy access and analysis.

Facebook Ads is a widely used online advertising platform that provides useful data about your online advertising efforts. You may often need to transfer this data to a database or data warehouse for easy access and analysis. If you are looking for simple ways to move your Facebook Ads data, you have landed at the right place. In this post, you will learn two methods to move data from Facebook Ads to PostgreSQL, among the most popular relational databases. 

Understanding Facebook Ads

Facebook Ads is an online advertising platform that allows companies to create and manage engaging ad campaigns that run on Facebook. Businesses can reach their online audience through highly targeted ads in various media formats (images, videos, carousels, and more).  This capability combined with Facebook’s vast network has made it one of the most popular platforms for advertising online.

Facebook Ads’ Insights API is an exceptional tool that provides significant data that is of immense use when properly extracted, transformed, and loaded to an appropriate interface. The data and insights provided through this API need to be fine-tuned to be made sense of. This data needs to be strategically mapped to various tables in a database system. 

Understanding PostgreSQL

PostgreSQL is a popular object-relational database management system that offers enterprise-grade features with a strong focus on extensibility. It runs on all major operating systems such as Unix and Windows. It is open-source, fully ACID-compliant, and fully supports foreign keys, joins, etc., in multiple languages. It is available in cloud-based deployments by most major cloud providers.

Loading data from Facebook Ads to PostgreSQL will give you the power of SQL to slice and dice your advertising data to unearth actionable insights.

Prerequisites

1. An active Facebook Ads account.
2. A database has to be set up in PostgreSQL.

Transfer data from Facebook Ads to PostgreSQL in 2 easy steps

Hevo Data, a No-code Data Pipeline can help you move data from Facebook Ads (among 150+ sources) swiftly to PostgreSQL for free. Hevo is fully managed and it completely automates the process of monitoring and replicating the changes on the secondary database rather than making the user write the code repeatedly. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. Hevo allows you to not only export & load data but also transform & enrich your data & make it analysis-ready in a jiff.

Now you can transfer data from Facebook Ads to PostgreSQL for Free using Hevo!

Hevo focuses on two simple steps to move your data from Facebook Ads to PostgreSQL:

Step 1: Configure Source

a) Authorize Hevo to access your Facebook Ads data by connecting your Facebook Account to Hevo.

b) Configure your source by providing the correct details. You can also choose the historical sync duration for your Facebook Ads data.

Step 2: Configure Destination

Complete Facebook Ads to PostgreSQL migration by providing your destination name, account name, region of your account, database username and password, database and schema name, and the Data Warehouse name.

Check Out What Makes Hevo Amazing:

• Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
• Schema Management: Hevo takes away the tedious task of schema management & automatically detects schema of incoming data and maps it to the destination schema.
• Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
• Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
• Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
• Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
• Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.

Conclusion

PostgreSQL is a very versatile RDBMS that can be used to aggregate structured data to derive useful insights and Facebook Ads is a source of useful data that can be managed efficiently on PostgreSQL database. Depending on the particular use case and data requirement, you may choose to replicate data from Facebooks Ads to PostgreSQL using one of the approaches detailed above. You may build a custom code-based data pipeline or use an automated ETL tool like Hevo to quickly start moving data for analysis.

Visit our Website to Explore Hevo

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. Have a look at our unbeatable pricing, which will help you choose the right plan for you. You can now transfer data from sources like Facebook Ads to PostgreSQL for Free using Hevo!

What are your thoughts on moving data from Facebook Ads to PostgreSQL? Let us know in the comments.