Daily Product

This default pipeline can be used to request and retrieve website performance metrics broken down by Product, at a Day level granularity.

You can read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Google Analytics data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select Daily Product from the dropdown

Account

Select one or more accounts from the drop-down for Analytics, and the topmost level of organization.

All accounts which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you. While you can add multiple accounts, the table size may become too large and so it is advisable to add one account per pipeline and use Union queries in the data warehouse to join the data for consumption
Property

An account can have one or more properties such as Website, mobile application, blog, etc. Select the desired Property as per the requirement.

Views

Views are the access point for reports. They enable a defined view of a visitor data from a property. You can give users access to a view so that the user will be able to view reports based on that view’s data. A property can contain one or more views. Select the desired views for the selected Account.

Prefix

Enter a prefix that should be used in naming the data set retrieved using this pipeline [prefix_tablename]

Default Parameters

Parameter Description Default Values

Dimension

Dimensions fetched from the Google Analytics platform.

ga:date, sourceMedium, productName, productCategoryHierarchy, productBrand

Metrics

Metrics fetched from the Google Analytics platform.

ga:uniquePurchases, itemRevenue, itemQuantity, productDetailViews, productCheckouts, productAddsToCart

Delete or Append

With Delete selected the data will be upserted (only new records or records with changes) in the data warehouse.

Delete

No of Days

Number of days for which you wish to get the data in each run.

4

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data destination).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.

Notifications

Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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