Pull from Google Analytics
Use the Pull from Google Analytics step to bring all of your Google Analytics data into Parabola in a familiar format. With report presets, interchangeable metrics, and definable dimensions, it's simple to reconstruct your Google Analytics views with ease.
Connect your Google Analytics account
Begin by authenticating your Google Analytics account by clicking Authorize.
Make sure that you're pulling data from the correct property and site.
You can adjust which property or site's data is being pulled into Parabola by selecting from the dropdown.
By default, the Pull from Shopify step will bring in Users by Medium.
The timeframe is also set to within the previous 1 week based upon when the flow is run, without an offset of dates.
We offer a variety of preset reports that are the same as those in the Google Analytics sidebar. Selecting a preset report will update the columns in your Metrics to use and Dimensions to use to group the metrics selection fields.
Use these as-is, or as a base for building your own customized reports.
You will find the Metrics to use field shows the same metrics you'd see in Google Analytics. Every metric that you add will result in a column being added to your report. You can select as many metrics as necessary for your report, including New Users, Bounces, Sessions, and more.
You can use various Dimensions to use to group the metrics, including Medium, Source, Campaign, Social Media, and more. Each dimension also adds a column, usually to the front, and it also will change how many rows you see in your data. Leaving this field blank will result in a single row of data, which is not grouped by anything.
The time frame can be updated to let you pull data from:
1. Between two dates
2. Between a date and today
3. The previous X days/weeks/months/etc.
4. The current X day/week/month/year to date.
You can also adjust for when you'd like the timeframe calculation to run, giving you the ability to pick between when the flow is run or the most recently completed month/week/day/hour. The latter option is great for running a report for the last month, on the 1st of the following month, while excluding any data collected for far that day.
Lastly, if you choose, you can add offset for your date timeframe.
If you are looking to compare this data set to the same set, but from the previous period, a great way to do that is to pull in the two data sets, and the use the Combine tables step to combine them, using their dimensions in the matching rules.
- Please note that Google Analytics Reporting API V4 (App + Web) is not yet supported in this integration.