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Fractribution

danger

The Fractribution Package is no longer maintained, please refer to the Attribution package for marketing attribution analysis with Snowplow

Package Configuration Variablesโ€‹

This package utilizes a set of variables that are configured to recommended values for optimal performance of the models. Depending on your use case, you might want to override these values by adding to your dbt_project.yml file.

note
All variables in Snowplow packages start with `snowplow__` but we have removed these in the below tables for brevity.

Warehouse and Tracker


Operation and Logic


Contexts, Filters, and Logs


Warehouse Specific


Config Generatorโ€‹

You can use the below inputs to generate the code that you need to place into your dbt_project.yml file to configure the package as you require. Any values not specified will use their default values from the package.

Warehouse and Tracker
Source of conversion events
Source of the derived `snowplow_web_page_views` table
Schema and table name of the snowplow web user mapping table
Operation and Logic
Contexts, Filters, and Logs
Path Transforms

> Click the plus sign to add a new entry
Channels to Exclude

> Click the plus sign to add a new entry
Channels to Include

> Click the plus sign to add a new entry
URL Hosts

> Click the plus sign to add a new entry
Warehouse Specific

Project Variables:

vars:
snowplow_fractribution: null

Output Schemasโ€‹

By default all scratch/staging tables will be created in the <target.schema>_scratch schema, the derived tables, will be created in <target.schema>_derived and all manifest tables in <target.schema>_snowplow_manifest. Some of these schemas are only used by specific packages, ensure you add the correct configurations for each packages you are using. To change, please add the following to your dbt_project.yml file:

tip

If you want to use just your connection schema with no suffixes, set the +schema: values to null

models:
snowplow_fractribution:
+schema: my_derived_schema