Facebook metrics are now available for tracking and forecasting. All of the usual functionality of tracking cumulative and calculated metrics is included and you can pull all of this into Data Studio for custom reports.
Support for Google Ads Smart campaigns has been added for our Machine Learning Google Ads KPI predictions and Budget tracking.
All of your Budget data is now available for custom reporting for Clients or stakeholders with this update to the Data Studio connector. A Budget reporting template is available to get you up and running quickly.
To get access to the new fields, please refer to this article on how to add them to your reports.
With the addition of Google Ads KPIs, we have introduced some new fields for displaying data when tracking a calculated metric. The new fields will allow you track metrics that are measured by taking two metrics and then calculating an average over a period of time. For example CPA (Cost Per Acquisition or as it is called in the Google Ads interface, Cost / Conv.) is measured over a period of time and therefore we provide both a daily prediction and track the progress of the period to date. To increase the accuracy of estimating the EoM result of your KPI we provide a moving/rolling average of the past 30 days, which is customisable, which is used for the status.
Introducing Google Ads KPIs. With this update you can track a variety of different Google Ads metrics with Machine Learning forecasts.
When tracking a calculated metric (Avg. CPC, Cost Per Conversion, etc.) you also get a configurable rolling average for understanding both daily and end of the period projections.
KPIs in Google Ads often requires only a subset of campaigns, such as brand campaigns or retargeting. This update will allow you to select Campaigns by using text filters on the name or labels. This will be applied to Google Ads budgets in an upcoming release.
