Are you struggling to connect Facebook Ads to Azure Synapse? Do you find it challenging to integrate the two platforms and leverage the valuable insights hidden within your Facebook advertising campaigns? If so, you’re not alone.

Many businesses face difficulties in seamlessly combining their Facebook Ads data with Azure Synapse to streamline their data analysis and decision-making processes. But worry no more! Whether you prefer a manual approach or are seeking an automated tool that can handle complex transformations and frequent data integrations, we have you covered.

In this article, we will explore several effective ways and step-by-step processes to integrate your Facebook Ads data with Azure Synapse. Let’s get started!

Method 1: Move data from Facebook Ads using CSV files

This method of moving data from Facebook Ads to Azure Synapse involves the following steps:

Step 1: Export Facebook Ads data

  • Log in to your Facebook Ads Manager account.
  • Firstly, decide what Facebook Ads data you want to export. Choose specific campaigns or retrieve all. Select a preset time frame like 7 days, or pick a custom date.
  • Click the Export button located at the top right of the screen.
Facebook Ads to Azure Synapse: Export Facebook Ads data
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  • Select the CSV format from the pop-up widget and click Export. The file will be downloaded to your computer.

Step 2: Upload data to Azure Blob Storage

  • Log in to your Azure storage account, navigate to the Containers section. Click Add Container to create a new container that holds your data.
  • Upload your CSV file to the container.
  • Additionally, make sure to grant access control for your container in Azure Storage. Go to the Access Control (IAM) section, and click + Add. Now search for the Storage Blob Data Reader role and proceed with the role assignment.

Step 3: Upload data to Azure Synapse

Facebook Ads to Azure Synapse: Upload data to Azure Synapse
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  • Properties: Go to the Azure Synapse workspace homepage and select the Ingest tile to launch the Copy Data tool. Set the properties, including the task type, as a Built-in copy task.
  • Source: Configure the source data store by selecting + New connection and select Azure Blob storage. Provide the necessary details, such as the storage account name, access key, and container name, and click on Create.
  • Target: Specify the target data store by selecting + New connection and select Azure Synapse Analytics. Enter the server name, database name, username, and password, and click Create.
  • Settings: Configure any filters or settings necessary for your data extraction. Set the task name, staging settings, and create staging storage for smooth data transfer into Azure Synapse Analytics.
  • Review and Refresh: Review the configured settings for the copy task, and if everything is set correctly, proceed with the copy operation. After completion, refresh the list to see the updated results.

And there you have it! Your Facebook Ads data is successfully connected to Azure Synapse Analytics. 

The manual approach offers more control and flexibility. You can perform custom data transformations or preprocessing steps before loading the Facebook Ads data into Azure Synapse Analytics.  

Limitations of Manual Method

  • Time-Consuming: The manual approach requires downloading the data into a CSV file, uploading it to Azure storage, and then loading it into Azure Synapse Analytics. This process can be time-consuming, especially when handling large datasets or frequent data updates.
  • Lack of Automation: Any updates or changes in the Facebook Ads data will require manual intervention. You have to download, transform, and load the updated data again into Azure Synapse Analytics. Maintaining data consistency and keeping up with real-time changes using a manual process can be challenging.
  • Lack of Real-Time Sync: The manual method does not support real-time data synchronization. By the time you download and upload your data to the analytics platform, there is a possibility that the data may have changed. This means that the data you analyze may not reflect the most up-to-date information.

Method 2: Automating the data replication process using a no-code tool

This method offers significant advantages over the manual approach, providing a more efficient and streamlined way to replicate and integrate your data. Automating the data replication process using a no-code tool to load data from Facebook Ads to Azure Synapse offers several advantages:

  • Time and Effort Savings: Automating the data replication process eliminates the need for manual intervention, saving significant time and effort. With a no-code tool, you can set up automated workflows with pre-build connectors. This helps to fetch and load data automatically, reducing manual tasks and boosting efficiency.
  • Real-time Data Sync: Using a no-code tool, you can establish real-time synchronization between Facebook Ads and Azure Synapse Analytics. This ensures the analytics platform has the most up-to-date data for analysis, enabling timely insights and decision-making.
  • Scalability and Performance: No-code tools often provide scalability features to handle growing data volumes. They can efficiently process and replicate large amounts of data ensuring optimal performance even with increasing data sizes.

Hevo Data is a popular and widely used no-code data integration tool. It simplifies connecting various data sources, including Facebook Ads and Azure Synapse Analytics. Hevo Data provides an all-in-one data extraction, loading, and transformation solution.

To migrate data from Facebook Ads to Azure Synapse Analytics, follow these steps:

Step 1: Configure Facebook Ads as Source

Facebook Ads to Azure Synapse: Configure Source
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Step 2: Configure Azure Synapse as Destination

Facebook Ads to Azure Synapse: Configure Destination
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That’s it! You have successfully connected Facebook Ads to Azure Synapse Analytics. You can now start analyzing your Facebook Ads data using the powerful capabilities of Azure Synapse Analytics.

The Facebook Ads connector has a default pipeline frequency of 1 hour, with a minimum frequency of 15 minutes, and a maximum frequency of 24 hours. Additionally, you can customize the frequency within a range of 1 to 24 hours.

Hevo Data is an excellent choice for a no-code data integration tool due to the following reasons:

  • Easy to Use: Hevo’s intuitive and user-friendly interface makes it easy for new users to quickly grasp the platform’s functionalities. You can perform operations without the need for extensive training.
  • Pre-Built Connectors: Hevo supports 150+ data sources, including a wide range of SaaS applications, payment gateways, advertising platforms, and analytics tools. In other words, it offers a comprehensive repository of pre-built integrations for popular data sources.
  • Drag-and-Drop Transformations: Hevo Data provides a user-friendly drag-and-drop functionality for simple data transformations, allowing you to perform tasks like filtering and mapping with just a few clicks. You can leverage Hevo’s Python and SQL capabilities for more complex transformations.
  • Live Monitoring: Hevo provides real-time monitoring of your data flow, allowing you to track the progress of your data at any given moment. You can stay informed about the current status and ensure smooth data integration and replication.
  • Live Support: The Hevo team offers round-the-clock support to assist customers through chat, email, and support calls. You can rely on their expertise and prompt assistance whenever you need it.

What Can You Achieve by Migrating Data from Facebook Ads to Azure Synapse Analytics?

There are numerous benefits of Facebook Ads to Azure Synapse migration. Here are some of them:

  • Measure Ad Performance: With the integration of Facebook Ads data into Azure Synapse Analytics, you can track and measure the performance of your Ads across various metrics such as impressions, clicks, conversions, and revenue. This helps you understand the effectiveness of your campaigns and provides valuable insights for optimizing your advertising strategies.
  • Optimize Ad Targeting: By leveraging Facebook Ads data in Azure Synapse Analytics, you can analyze and enhance your ad targeting strategies. You can explore demographic, and behavioral data to identify the most relevant audience segments. You can tailor your campaigns to effectively reach the right people at the right time.
  • Analyze Customer Lifetime Value (LTV) Across Campaigns: By loading data from Facebook Ads to Azure Synapse Analytics, you can gain insights into how different targeting strategies or products impact your customer lifetime value. This analysis provides a competitive advantage by allowing you to understand which campaigns drive higher customer value and adjust your marketing efforts accordingly.


Integrating Facebook Ads data with Azure Synapse Analytics provides numerous benefits for businesses. It enables you to streamline your marketing efforts, optimize ad performance, and gain valuable insights into customer lifetime value. While both the manual method and using a no-code tool have their advantages, Hevo Data offers a more efficient and user-friendly solution. With its 150+ pre-built connectors, live monitoring, and dedicated support, Hevo Data provides an all-in-one platform and empowers you to make data-driven decisions.

If you don’t want SaaS tools with unclear pricing that burn a hole in your pocket, opt for a tool that offers a simple, transparent pricing model. Hevo has 3 usage-based pricing plans starting with a free tier, where you can ingest up to 1 million records.

Schedule a demo to see if Hevo would be a good fit for you, today!

Freelance Technical Content Writer, Hevo Data

Amulya combines her passion for data science with her interest in writing on various topics on data, software architecture, and integration through her problem-solving approach.

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