How to Streamline Data Flow from Facebook Ads Insights to Looker Studio with Dataddo?

In today's data-driven business landscape, the ability to seamlessly integrate and analyze data from diverse sources is paramount. Dataddo , a leading no-code data integration platform, empowers businesses to effortlessly connect various data sources and destinations. In this article, we'll delve into the process of creating a data flow from 'Facebook Ads Insights' as the source to 'Looker Studio' as the destination, leveraging Dataddo's robust capabilities.

Step 1: Getting Started with Dataddo

1. Account Setup: Begin by signing up for a Dataddo account and providing essential details under 'Your Profile' and 'Your Account.' Completing this initial setup prepares you to start extracting data and creating data flows. To get started, visit the Dataddo website: https://bit.ly/Dataddo_Home_Page

Step 2: Configuring the Source - Facebook Ads Insights

1. Create Source: Once your account is set up, navigate to the source section within the Dataddo platform and click on the 'Create Source' button.

For more information click following link to Dataddo Facebook Ads Documentation: https://bit.ly/Dataddo_FacebookAds_Doc?

2. Select Connector: Choose the appropriate source connector for your use case. In this example, we'll focus on 'Facebook Ads Insights' as the source.

3. Authorize Account: Authorize your Facebook Ads account and select the relevant account name, ads account, and campaign. Ensure that the selected Facebook account has the necessary permissions to access the data you intend to extract.

Step 3: Defining Attributes and Metrics

1. Attribute and Metrics: Define the attributes and metrics you wish to extract from the Facebook Ads Insights data. This step involves selecting the reporting level, attributes, and metrics. Note that the available attributes and metrics depend on the chosen reporting level.

Facebooks Ads Attributes & Metrics Field Reference Document Link: https://bit.ly/Dataddo_FbAds_Field_Reference

2. Data Preview: Utilize the 'Test Data' button to preview the extracted data and ensure its accuracy before proceeding.

Step 4: Advanced Settings and Snapshot Configuration

1. Advanced Settings: Configure advanced settings such as time increments, breakdowns, attribution windows, and advanced filtering as needed. These settings allow you to refine and tailor the data extraction process to your specific requirements.

2. Snapshot Configuration: Move to the 'Snapshot' section to schedule data snapshotting. Define the frequency, date range, day of the week, hours, and minutes for data extraction. Follow recommended settings for the latest available data.

3. Snapshot Keeping Policy: Ensure accurate data retention by adjusting the 'Snapshot Keeping Policy.' Choose 'Append - Retain and merge all snapshots' to maintain a comprehensive data history.

Step 5: Creating the Data Flow to Looker Studio

1. Flow Creation: Navigate to the 'Flows' section within Dataddo and click on the 'Create Flow' button. Give the flow an appropriate name.

2. Connect Source and Destination: Configure the flow by connecting the 'Facebook Ads Insight' source to the desired destination, 'Looker Studio.'

3. Load Data: Use API tokens to load your 'Facebook Ads Insight' data into Looker Studio. These access tokens enable secure and seamless data transfer between Dataddo and Looker Studio.

4. Accessing Data in Looker Studio: Upon successful configuration, access the newly created 'Facebook Ads Insight' source as a 'Data Source' within Looker Studio. You can leverage the 'Apps Script Addon' Connector Type to incorporate the data into your Looker Studio environment.

Problem-Solving: Common Data Flow Issues and Solutions

Problem 1: Data Not Combining Across Days

If you encounter an issue where data is not combining across consecutive days, follow these steps to resolve it:

• Navigate to the 'Source' and click on the three dots ('Action') to access the edit option.
• In the 'Snapshotting' interface of the 'Source Detail,' change the 'Snapshot Keeping Policy' from 'Replace - Keep only the last snapshots' to 'Append - Retain and merge all snapshots.' This adjustment ensures seamless data accumulation across days.

Problem 2: Inaccurate Date Range Selection in Looker Studio

To address date range inaccuracies when viewing data in Looker Studio, take the following steps:

• In the 'Manage Data Sources' section of Looker Studio, locate the 'Dataddo' data source and click on the edit button.
• Set the 'date_start' field as ‘text’ and create a new field named "date_new" using the TODATE() function with the format "%Y.%m.%d." This modification ensures accurate data representation in Looker Studio.

Conclusion

Dataddo's data integration platform provides a seamless solution for connecting 'Facebook Ads Insights' as a source to 'Looker Studio' as a destination. By following the steps outlined in this article and addressing potential data flow issues, businesses can harness the power of data integration and visualization to make informed decisions and drive growth.

To explore the capabilities of Dataddo and create your own data flows, visit their documentation at: https://bit.ly/DataddoDoc and unlock the potential of seamless data integration and analysis.

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