Funnel Report

This pipeline can be used to request and retrieve a customized funnel report of your Google Analytics event data. You may also use filters to return rows matching certain conditions. You may read more about Funnel Report 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 Funnel Report from the dropdown

Account: Select one or more accounts from the drop-down

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. Select the desired property as per the requirement.
Breakdown: Select the breakdown for the Funnel Report. This breakdown adds a dimension to the funnel table sub report response. This breakdown dimension expands each funnel step to the unique values of the breakdown dimension. For example, a breakdown by the deviceCategory dimension will create rows for mobile, tablet, desktop, and the total.

Setting Parameters

Parameter Description Values

Parameter	Description	Values
No of Days	*Required* Number of days for which you wish to get the data in each run.	Integer value
Insert Mode	*Required* Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.	`Upsert`, `Append`, `Replace` *Default Value:* UPSERT
Upsert Keys	*Dependent* *Required (If Insert Mode = Upsert)* Specify Upsert Keys (you can specify multtiple keys) based on which data is to be upserted.	`Upsert Key`

No of Days

Required

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

Integer value

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.

Upsert, Append, Replace

Default Value: UPSERT

Upsert Keys

Dependent Required (If Insert Mode = Upsert)

Specify Upsert Keys (you can specify multtiple keys) based on which data is to be upserted.

Upsert Key

Advanced Options

Parameter Description Values

Parameter	Description	Values
Is Open Funnel	_Optional In an open funnel, users can enter the funnel in any step, and in a closed funnel, users must enter the funnel in the first step. Choose Yes or No.	`Yes`, `No` *Default Value:* No
Funnel Steps	_Required Funnel Steps define the user journey you want to measure. Funnel Steps contain one or more conditions that your users must meet to be included in that step of the funnel journey.	`+`, `x`
Step name	_Required Specify the descriptive name assigned to the funnel step.	String Value
Events	_Optional Specify the name of the event. This filter will be evaluated on the specified event parameter.	String Value
Dimensions	_Optional Select the dimension and filter you would like to apply to return data for specific dimension values. In a report request, you can specify zero or more dimensions. Requests are allowed up to 9 dimensions.	`EXACT`, `BEGINS_WITH`, `ENDS_WITH`, `CONTAINS`, `FULL_REGEXP`, `PARTIAL_REGEXP`, `N_LIST_FILTER`

Is Open Funnel

_Optional

In an open funnel, users can enter the funnel in any step, and in a closed funnel, users must enter the funnel in the first step. Choose Yes or No.

Yes, No

Default Value: No

Funnel Steps

_Required

Funnel Steps define the user journey you want to measure. Funnel Steps contain one or more conditions that your users must meet to be included in that step of the funnel journey.

+, x

Step name

_Required

Specify the descriptive name assigned to the funnel step.

String Value

Events

_Optional

Specify the name of the event. This filter will be evaluated on the specified event parameter.

String Value

Dimensions

_Optional

Select the dimension and filter you would like to apply to return data for specific dimension values. In a report request, you can specify zero or more dimensions. Requests are allowed up to 9 dimensions.

EXACT, BEGINS_WITH, ENDS_WITH, CONTAINS, FULL_REGEXP, PARTIAL_REGEXP, N_LIST_FILTER

google analytics 4 funnel report config 1

google analytics 4 funnel report config 2

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 warehouse).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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