Connect Data from Facebook Ads to Metabase

You can get your Facebook Ads data into Metabase to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from Facebook Ads and then analyze it in Metabase. Both pro-level designers and non-programmers can make the most of Metabase's user-friendly and intuitive data analytics feature. This amazing business intelligence tool has built-in visualizations and queries, which means no SQL coding is required to get results. Integrate your Facebook Ads with Metabase to turn your Facebook Ads data into actionable insights.

Facebook is the world's most popular social network, equipped with a powerful advertising network where billions of dollars are spent each year. Marketers love using Facebook Ads ads to reach their target audience at scale.

Metabase is one of the simplest ways to get your data in front of anyone on your team. Metabase, an open-source BI tool, offers easy way to generate both charts and dashboards, see in-depth information about rows in your database and ask simple ad hoc queries without having to use SQL. Metabase installs in just a couple of minutes and can work with a variety of databases, such as MySQL, Amazon Redshift and PostgreSQL. Lightweight, incredibly fast, and free, for people who want to visualize and query, Metabase lets its users save queries and also add their favorite visualizations to a convenient dashboard. Metabase uses machine learning for analyzing the data it collects and recommends how you can design more effective marketing campaigns.

Extracting data

Before loading your data into Metabase, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them. Facebook Ads's documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes.Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.

Preparing data

You have three options for extracting data from Facebook. 1- You can retrieve data programmatically through the Facebook Ads Insights API. It is available to all users who use the platform. Follow the API documentation, and you will enjoy access to endpoints, like impressions, CTRs, and CPC. You can access the API through the SDKs which Facebook offers. Officially, the platforms support SDKs for PHP and Python, while there’re also a number of SDKs (community supported) for languages such as R, Ruby, and JavaScript. Data will be returned in either CSV or XLS format, and when your report is ready based on the request you may access it from a URL. 2- You can export a report that you have created and saved. All you have to do is navigate to Ads reporting from the Facebook Ads Manager navigation and click on the report and then click Export. 3- You can use a tool like Improvado. By leveraging Improvado, you can easily and quickly integrate, connect, and see all your Facebook Ads Insights data flow seamlessly into your desired visualization tool or database. Improvado does not require any technical skills to operate. You can sync your data over with just a few clicks.

Loading data

As long as you can bring your data to Metabase, this amazing software will help you in analyzing it. You have the option to connect various data types from Facebook Ads and Google Analytics to Crate and Mongo, etc. All you have to do is simply specify parameters to connect to Metabase and data warehouse and then select the data that you want to replicate. With Improvado, you can ensure that you always have the latest data from all your cloud applications in the data warehouse. In most cases, you would like to organize your data in the warehouse a little differently than in a cloud app. You may also want to make a schema for OLAP or just have target tables for the data you have already created. If that is the case, you can use our amazing data import tools. With flexible configuration and powerful mapping settings, our import tool allows the loading of data between data sources of varying structures.

Keeping data up to date

The key is building your script so that it can sense incremental updates made to the data. Thankfully, Facebook’s API results include fields like "date" so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears.

The Easiest And Fastest Way To Do It

If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done! Thankfully, products like Improvado were developed to move data from Facebook to Metabase automatically. Using Improvado, you can easily combine the most crucial and relevant data from your social media ad campaign into a dashboard. You can then connect this data to Metabase.