Connect Data from AdButler to Metabase
You can get your AdButler data into Metabase 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.
Metabase is one of the simplest ways to get your data in front of anyone on your team. Metabase, an open-source BI tool, offers easy way to generate both charts and dashboards, see in-depth information about rows in your database and ask simple ad hoc queries without having to use SQL. Metabase installs in just a couple of minutes and can work with a variety of databases, such as MySQL, Amazon Redshift and PostgreSQL. Lightweight, incredibly fast, and free, for people who want to visualize and query, Metabase lets its users save queries and also add their favorite visualizations to a convenient dashboard. Metabase uses machine learning for analyzing the data it collects and recommends how you can design more effective marketing campaigns.
Before loading your data into Metabase, 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.
Integrate your AdButler data with Metabase and turn your raw data into valuable and actionable insights. TRY IMPROVADO. You can set up in a matter of minutes.
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.
If you need to add another database or manage the settings of one you already have connected, just click the settings icon in the top right of Metabase and select Admin. Next, select Databases from the menu bar at the top of the screen to see your databases. Now you’ll see a list of your databases. To connect another database to Metabase, click Add database. To add a database, you’ll need its connection information.
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 Metabase. 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 Metabase 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 Metabase.