Connect Data from StackAdapt to Chartio
You can get your StackAdapt data into Chartio to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data and then analyze it.
StackAdapt is a self-serve programmatic advertising platform used by North America’s most exceptional digital marketers. Ad buyers plan, execute, and manage data-driven native advertising campaigns across all devices, leveraging proprietary data, inventory and publisher partners.
Chartio is a great business intelligence tool that helps businesses analyze, review, and track their critical data, such as Facebook Ads data. You can leverage Chartio’s drag and drop interface, or SQL, in order to create in-depth and comprehensive analyses and valuable visualizations of your Facebook Ads data. Focused on developing a robust interface for data, Chartio helps companies of all sizes make better and smarter business decisions via intuitive and real-time business analytics. The tool is simple to set up and easy to use. Chartio’s amazing features include a drag and drop user interface that allows you to edit generated queries. Other features include quick visualizations, a single interface for all data sources, filters, funnel visualizations, chart creation on tablets and phones, and drill down and pivots.
Before loading your data into Chartio, 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. Google Ecommerce'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.
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Once you've enabled an integration it's time to create a tracking link.1. First, select an ad format. For App Install or App Engagement campaigns you'll want to select the App Only format. For Search or Display campaigns where the user should go to web if they don't have the app, then you should select Cross-Platform Search or Cross-Platform Display. Product Links are for shopping or dynamic remarketing campaigns. 2. At this point you need to name your link. Select something that will make it easy to find if you need it later. Your Ad Format and Ad Partner should be selected already, but feel free to choose one if they aren't. It's important that you select the right Ad Partner for analytics later on. Click Configure Options to continue. 3. This is your chance to add deep link data and analytics tags. Analytics tags are important for later segmentation, so click the Analytics sub tab to add a Channel and Campaign value.
As Chartio is a data analysis and visualization tool, your first step is to find your data. Once you have located your data, you can add it to your Chartio account. All you have to do is navigate to the Data Source tab. You will find it in the top Menu, and from this tab you can easily connect your database to Chartio. It is quite simple. And the good thing is that Chartio will require read-only access to the database. You can upload your CSV file from your personal computer. And if you are not ready to connect your database to the tool, you can easily leverage Chartio in order to gain valuable insights from the spreadsheets on your computer. You should use the data sources to which you have been given access. To upload a CSV file as a new data source to your Chartio account, you’ll have to ensure that it’s in a suitable format that Chartio can both read and import in the form of a table. When uploading your CSV data file, you’ll have to verify the date formats and data types that Chartio has auto-detected and then make suitable changes as needed. After you have uploaded a CSV data file to your account, you may update your data in the following ways: Add a new CSV data table Replace your existing CSV data table Append to your existing CSV data tableIf you’re joining your existing Chartio account, it is likely that your data is already connected. You can create interactive dashboards and insightful real-time reports with Chartio’s amazing visual, drag-and-drop interface with no SQL knowledge.
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 Chartio. 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, StackAdapt’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 StackAdapt 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 StackAdapt to Charito 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 Charito.