Connect Data from Facebook Ads to Qlik

If you need to get Facebook Ads data into Qlik, you have come to the right place. This simple and quick guide gives you easy instructions on how you can extract your data from Facebook Ads and then analyze it in Qlik. With access to various robust Facebook Ads data metrics, Qlik offers Facebook Ads users the tools to better understand and analyze user growth and user demographics. Qlik also allows you to easily get a deeper insight into various trends by examining Facebook page comments, posts, and authors. Integrate your Facebook Ads with Qlik to turn your Facebook Ads data into actionable insights. If the process of extracting data from your Facebook Ads seems too complex, you can use Improvado, which will make this process a breeze. Qlik’s amazing associative model will seamlessly combine data from Facebook with internal data sources, bringing it all into your Qlik applications.

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.

Qlik is a business intelligence platform that provides simple end-to-end data management as well as real-time artificial intelligence analytics. Qlik is great as it has a number of powerful tools for Facebook Ads data, such as Qlik Sense and Qlik View. Qlick’s features also include embedded data analytics and developer and high-quality data integration platforms. You can use Qlick to combine all your Facebook Ads data, create custom applications, and share your business insights easily with your different teams on any device.

Extracting data

Before loading your data into Qlik, 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

You can easily add data by clicking on Add data within the Data manager. You have the option to select data from various connections, such as a database, or a folder containing your data files. Note that when you are adding data from any new data source using Connect my data, then a connection to your data source is swiftly created in Connections, which makes it easier and quicker to add more.You have to take the following steps: Click on Add data Click on Connections Select the connection you want to use. Now select the specific data source that you would like to add data from. For example, for file-based data sources, you can select a data file. Then choose the tables and fields that you want to load. Click on load data and finish in order to load your added data into the app.If you are using QlikView note that it uses a load script in order to connect to as well as retrieve your data from numerous data sources. When you execute the script, QlikView will identify common fields from the tables to associate your data. You can see the resulting data structure of your data in the document within the table viewer. You can execute the script simply by clicking on the Reload button. When you execute the script, the Select fields dialog will open. From here you can easily choose the fields that you want to display in list boxes in QlikView. Once your data is loaded into QlikView, it’s stored in the document.

Keeping data up to date

If you've made it this far, congrats! You probably have a written a program or script to extract your data and move it into Qlik. Now it's time to think about how you will keep this data up-to-date by loading updated or new data. Of course, you can just replicate all your data every time you have updated your records, but that would be extremely manual and time-consuming. Luckily there is a better way.

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 Qlik 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 Qlik.