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METRICS, DIMENSIONS AND DATASETS

Metrics, Dimensions And Datasets

PPC Data datasets

Whenever you connect to a Google Analytics or Paid Advertising data source, you get access to a number of predefined datasets made up of metrics and dimensions.

A data set describes a group of compatible metrics and dimensions. You can create Data Streams based on datasets.

It is not possible to have just one super dataset that combines all metrics and dimensions. This is because programmatic data interfaces (APIs) do not allow us to retrieve all combinations of dimensions and metrics in one query. Usually, it is only possible to retrieve a limited number of compatible dimensions and metrics.

The following image shows Bing Ads datasets (a Custom Data Stream is being created based on one of them):

Adding custom data stream

In that example above, there are 3 datasets each with a subset of compatible dimensions and metrics:

  • Campaign, Device dimensions
  • Campaign, Ad Group
  • Campaign, Ad Group Ad

Octoboard PPC Data Analytics Add-on offers a large number of these datasets for all integrations that we support. When you create a Data Stream, you always base it on a dataset and “inherit” its metrics and dimensions.

Datasets cannot be modified but you can create Data Streams. Once you create a Data Stream based on a selected dataset, you can override its default logic (rules) of calculating metrics and dimensions.

Datasets are important because they help you group compatible metrics and dimensions. They are also useful when you create a new metric based on an existing data field. For example, when creating a new CPC metric in a Custom Data Stream, you can base it on the standard Cost Per Click formula stored in the default dataset.

The process of creating new metrics and dimensions is covered here

PPC Analytics Metrics

Data metrics are numeric data fields retrieved via programmatic interfaces (APIs). They usually represent time and date, number or financial data values. Every data source such as Google Ads, Bing Ads and others has different metrics but the following metrics can be expected in all PPC platforms:

  • Impressions
  • Clicks
  • Cost
  • CTR
  • CPC
  • CPM

Here they are in a default Data Stream of the Bing Ads data source:

Bing ads metrics

Octoboard allows you to edit any rule of any metric in PPC Data Analytics Add-on. Click the EDIT icon next to the metric and you will be presented with an interface that would allow you to change the metric definition. Here you can see the metric definition of the Bing Ads’s Click-Through Rate (CTR):

Editing ctr metric

For more information on how modify existing metrics in PPC Analytics datasets, please this tutorial

PPC platforms such as Bing Ads have dozens of metrics but since the common metrics can be found in all platforms, they are automatically mapped by Octoboard in the Combined Multi-Channel dataset.

Octoboard uses datasets to map compatible PPC metrics from different data sources to the common Combined Multi-Channel data set (Data Stream).

PPC Data Analytics Add-on ensures, for example, that ad spend values from Facebook Ads, Google Ads, LinkedIn Ads all end up in the Cost field of the Multi-Channel Data Stream. Since this stream is always created by Octoboard it always automatically collects data from all connected PPC platforms to create a cross-platform view of the advertising expenditure.

The following image shows ad spend per country across all connected paid advertising channels.

Multi channel ad spend

For more information on how metrics are mapped to the Multi-Channel Data Stream, please this tutorial

PPC Analytics Dimensions

Dimensions are text-based data values such as Country, Campaign or Ad Group that are used to aggregate data and offer powerful analytics capabilities and data breakdowns.

Here is an example of Google Analytics and PPC metrics broken down by Country and PPC Channel:

Data analytics dimensions

Every dimension definition can be modified. Here is an example of the Bing Ads’ Campaign dimension definition. In this case it simply uses a data source value from the Bing Ads.Campaign field.

Bing ads campaign dimension

Similar to metrics, PPC platforms such as Bing Ads have dozens of dimensions but since the common dimensions can be found in all platforms, they are automatically mapped by Octoboard in the Combined Multi-Channel dataset.

These are the main common dimensions that are used to build global PPC breakdowns across data sources and accounts:

Multi channel dimensions

By using common dimensions, such as Country or Campaign, Octoboard will try to combine Google Analytics Session data with standard PPC metrics. The following widget shows metrics from Google Analytics (Sessions) and Paid Advertising platforms (Transactions, Impressions, Clicks, Cost) broken down by Markets (Country) and Marketing Channels (Channel).

Multi channel metrics

Values for the common dimensions in the Multi-Channel DataStream are mapped from PPC and Google Analytics datasets. Here is an example of the Country dimension in the Combined DataStream that uses Country fields in PPC datasets of Google Analytics, Google Ads and Facebook Ads.

Mapping country dimension

For more information on how dimensions are mapped to the Multi-Channel Data Stream, please this tutorial