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How to Load Data from Facebook Ads to Redshift

how to load data from facebook ads to redshift

Redshift, a cloud data warehouse service by Amazon, enables you to effectively store, query, and analyze real-time data on a petabyte scale. You can load your Facebook Ads to Redshift either manually or use automated integration to get your data easily imported and further updated. Let’s take a look at how it works below in the article!

How do you connect Facebook Ads to Redshift?

Facebook Ads and Redshift don’t have any built-in integration with each other. However, you can synchronize the two platforms by using a third-party connector – Coupler.io. This automates your data import from Facebook Ads to Redshift and allows you to choose the schedules for data refreshes to create ever-updating reports. It also enables you to export Facebook Ads to PostgreSQL and other sources.

In comparison, the manual method only enables you to send data from Facebook Ads to Redshift, not connect these platforms. This approach works well for minor tasks. For example, it won’t be difficult or time-intensive to load small and simple data sets.

Let’s dive into the details of the automated method step by step.

1. Collect your Facebook Ads data

To start collecting your data, use the form below. Click Proceed to create an automated Facebook Ads importer.

After signing up to Coupler.io for free, authorize your Facebook Ads account.

Then specify the Ad accounts from where you’d like to extract data and select the Report type. Pick Reports and insights if you need all the data for Facebook Ads reporting. Otherwise, choose from the following options:

Next, decide on your Start date and End date, and optionally, specify how you’d like to Split data by period.

Select the Metrics and dimensions you wish to include in your report.

Click Finish and proceed.

2. Organize and transform your data

Check the data you are going to export. In this step, you can:

If your data looks accurate, click Proceed. Authorize your Redshift account by specifying the Host, Port, Database, User, and Password.

After that, enter the existing Table name or create a new one by typing in a new name. Lastly, click Finish and proceed.

3. Schedule updates

Turn on the Automatic data refresh to schedule your data exports. Specify an update interval from every month to daily, or even every 15 minutes, to make your report live.

Click Run importer to load data to your destination. Finally, you can view the data schema in the Redshift Query Editor:

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Use case example: closed-loop analysis of marketing data with Redshift

With Coupler.io, you can load data from Facebook Ads to Redshift and also connect other business applications. This enables you to do a closed-loop analysis, revealing how your ad spend aligns with revenue generation.

By analyzing sales and marketing data this way, you can improve the accuracy of ROAS calculation. Additionally, you can define the main factors influencing conversions.

You can bring together the following data to query it in Redshift:

Connect the needed data sources to Redshift by creating a separate importer for each. Just take the steps we’ve already described for importing your Facebook Ads data.

Once you import this data to Redshift, you can analyze it to better understand the impact of your sales and marketing activities.

Manual way to send data from Facebook Ads to Redshift

Now you’ve learned how to connect Facebook Ads to Redshift, what about loading your data manually? Here’s how:

Before we explore this approach more deeply, remember it may not be suitable for all cases. Although it’s a viable choice for simple datasets, it takes time if used for complex ones.

So, this is how you get it started:

Step 1. Export Facebook Ads data as a .csv file

Step 2. Upload the file to the bucket in Amazon S3

Step 3. Create a cluster for your data in Redshift

Step 4. Load your data to the table

Pitfalls of the manual way to move data from Facebook Ads to Redshift

As you already know, the manual way to move Facebook Ads data to Redshift isn’t a one-size-fits-all approach. Let’s delve into the pitfalls of this method to see the bigger picture:

Remember that this method requires you to extract your data from Meta Ads Manager. Then, you upload it to the bucket created in Amazon S3, create a cluster for your data in Redshift, and move your data to the table created with Query Editor.

This might be a lengthy process, especially if you deal with extensive and intricate datasets.

Consider these limitations before you choose the way to move your Facebook Ads data to Redshift.

What Facebook Ads metrics can you export to Redshift?

Now you know how you can load data from Facebook Ads to Redshift both manually and automatically. So let’s explore the metrics preferred for your report to ensure valuable data analytics. Some of them include:

For more knowledge, you can read the article about the top 10 Facebook Ads metrics, which also provides tips on tracking these metrics and other relevant information.

Would you like to analyze your Facebook Ads with Redshift without any pitfalls? If yes, the automated integration between these two platforms is just what you need.

Use Coupler.io to quickly connect Facebook Ads to Redshift or other data warehouses, BI tools, and more. You can get even better connectivity if you export Facebook Ads to JSON automatically on a schedule – this format integrates with a wide variety of apps. If you also prefer to stay current with your ad performance, take advantage of automated data refreshes. Try Coupler.io for free and see it with your own eyes!

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