Connect Data from Sizmek to Google Data Studio
You can get your Sizmek data into Google Data Studio to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from Sizmek and then analyze it in Google Data Studio. Our Sizmek to Google Data Studio connector allows you to access your Sizmek data so you can easily manage various media objects, view metadata, and comments, and get reliable insights and metrics, such as reach, impressions, follower-like ratio, and likes. Integrate your Sizmek with Google Data Studio to turn your Sizmek data into actionable insights.
Sizmek is an ad management platform for advertisers and agencies focused on digital advertising campaigns. The platform engages audiences across any screen on a global scale.
Google Data Studio
Google Data Studio is an incredible dashboard creating platform and is free. Google Data Studio will help you convert your raw data into customized dashboards and valuable reports without any coding knowledge.
The platform provides various prebuilt connectors to multiple database sources, Google products like AdWords and Google Analytics, and CSV files. You can use Google Data Studio for reporting on Facebook ad campaigns.
Before loading your data into Google Data Studio, 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. Instagram API 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.
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The Sizmek API enables clients and partners to integrate with the Sizmek advertising platform and data in their own independently built applications. The API provides programmatic access and control to advertising accounts so partners can create campaigns, manage and traffic ads, and retrieve analytics and reporting data.
Read more about how to set up your Sizmek API account here: https://developers.sizmek.com/hc/en-us/articles/360029611991-Introduction-to-the-Sizmek-API
Sizmek REST Reporting API enables developers to use and integrate the Report Builder Analytics services in their applications.As requests for large reports can take a while to generate, the Sizmek API uses an asynchronous technique for requesting reports. With this technique, you send an initial request that specifies the data you want in the report.
Once the report has been generated it will be delivered to you by selected delivery option (email, FTP, or URL).
There are two types of reports:
- Ad hoc: Defined on a specific date range of data, the report is executed when you save it. After executing the report, the execute response shows the metadata for the report that includes the Execution ID. You use the Execution ID to ping the report to establish if it has failed or completed so that you can either report the reason for the failure or retrieve the completed report by URL, email, or FTP.
- Scheduled: Defined on a specific date range of data, the report is activated when you save it. When creating this type of report, you define a schedule specifying when you want the report run, its frequency and the period of time that you want the the report to run.
On completion of each scheduled report it is delivered by email or to an FTP. Use the auto-generate tool in the Sizmek Advertising Suite to simulate a JSON report request, and then copy the report request into the code application, and create your report request.
The procedure for using the auto-generate tool for both an ad hoc and scheduled report is the same except that for a scheduled report, you must create the schedule when you want the report to run.
Read more about this here: https://developers.sizmek.com/hc/en-us/articles/206688003-Report-Service-API-Reporting-API-Documentation
To visualize all your data in a report, you have to first connect to the underlying data source. This could be data present in a social media or an advertising platform, like Facebook Ads, a MySQL database, a CSV file, or a Google Sheets spreadsheet, etc.
You require only two things for this:
- A Google account, and
Note that Google Data Studio can easily use data from many sources, such as:
- Attribution 360
- Campaign Manager, and
- Cloud Spanner
Once you have signed into your Google account, just go to Google Data Studio. Now click on the + button linked to the Blank new report. Click on CREATE NEW DATA SOURCE in the resulting window at the bottom right corner. Then you will have to select your data source.
To do this, click on the CONNECT button located in the right corner at the top. Customize the data that you want to use in the new window, and, when you are done, click on ADD TO REPORT. Click on the ADD TO REPORT button when you receive a prompt in the pop-up. Now your data will be available in the report.
Now as all your data is available on the report, you have to simply add elements to make use of and analyze the data.
You may choose any number of elements, such as:
- Bar chart
- Time series
- Combo chart
- Pie chart
- Geo map
You can add an element by clicking Insert (present in the Menu toolbar) and then choose the type you would like.
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 Google Data Studio. 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 key is building your script so that it can sense incremental updates made to the data.
Thankfully, Sizmek’s API results include fields 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. And keep in mind that, as with most codes, once you write it, you will need to maintain it.
In case Sizmek changes its API, or if the API sends a field containing a data type that your code does not recognize, you might have to change the script.
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 Sizmek to Google Data Studio automatically. Using Improvado, you can easily combine the most crucial and relevant data from your ad campaign into a dashboard. You can then connect this data to Google Data Studio.