Connect Data from Adroll to Google Data Studio
You can get your AdRoll 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 AdRoll and then analyze it in Google Data Studio. Our AdRoll to Google Data Studio connector allows you to access your AdRoll 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 AdRoll with Google Data Studio to turn your AdRoll data into actionable insights.
AdRoll is one of the best and most popular retargeting platforms on the web and it has been around for ten years. It is an e-commerce growth platform and is aimed at remarketing and retargeting. AdRoll tracks visitors to an e-commerce website and displays retargeting adverts to them as they visit other websites.
With AdRoll, you can go beyond customer acquisition, using your customer relationships for driving growth. You can also increase customer loyalty and lifetime value with personalized, relevant, cross-channel experiences.
Google Data Studio is an incredible dashboard creating platform and is free. Google Data Studio will help you convert your raw AdRoll 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 AdRoll 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. AdRoll'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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The great thing about AdRoll is that it provides a Reporting API. This API lets developers get easily at delivery, segment, and other type of information stored in this platform.
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, AdRoll’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 AdRoll 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 AdRoll 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.