Connect Data from AdButler to Domo
You can get your AdButler data into Domo 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.
AdButler is a self-managed ad serving platform that helps you quickly and easily manage online ad campaigns. You can set up any number of advertisers or publishers and track the performance of your online advertising stream. Serve and track your direct-sale and 3rd-party ad sources from one place.
Domo is an excellent business intelligence tool and provides you with the widest data set as well as connector support. Domo delivers a unique and fantastic set of social collaboration features too. Domo is a powerful and reliable cloud-based platform which connects to over 500 data sources and provides you with more than 300 valuable interactive charts and dashboards along with native apps for mobile platforms. The BI tool was created in order to help businesses find viable and effective solutions to some of the most pervasive and complex business challenges.
Before loading your data into Domo, 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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1. To begin, navigate to the statistics section of the dashboard.2. SETTING THE FILTERSFilters are the criteria through which you can restrict your results. By default, the filters include all of the available options. By moving through them, you can narrow down your report to be as specific as you want it to be. The filters also affect each other. Choosing one publisher will automatically select all of that publisher's options in the filters. Similarly, selecting a zone will also select that publisher, but not all that publisher's options. Moving down selection from the top will eliminate redundant results in the filters below.3. SELECTING THE TIMEFRAMENext, you need to pick a timeframe for your report in the top right corner. The default is set to the "Last 14 days." You can pick from the presets or create your own custom date range and save it for later under "Save Settings."4. GENERATING THE REPORTFinally, click "Generate Report." A report based on the selected stats will now display. At this point, you can save these settings for use again by clicking "Save Settings." You may also want to use this option when generating monthly reports for a specific advertiser so you can give them similar reports every month. The generated report can also be downloaded as a CSV by clicking the download icon.
In order to import or export data you must first have a DataSet created. Create a DataSetImport data into a DataSetCreate a Personalized Data Permission (PDP) policy for a DataSetAfter creating a DataSet, you can continue to import data if needed or create multiple PDP policies to filter specific data within a DataSet for various sets of users.
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 Domo. 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, AdButler’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 AdButler 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 AdButler to Domo 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 Domo.