Releases: fivetran/dbt_ad_reporting
Releases · fivetran/dbt_ad_reporting
README Documentation Updates
Happy Friday 🎉
This release includes the following non-breaking changes:
- Updates to the README to call out when to properly add model configurations and fixing the pinterest ads link
Databricks Compatibility
This release incorporates the following non-breaking changes:
- Databricks compatibility
Snapchat Ads Support
This version introduces support for our latest Ad platform -- Snapchat Ads!
Bug Fix
Thank you @dschoel-pr for your contribution!
Bug Fix:
- The grain of the source data of the stg_facebook_ads, facebook_ads__ad_adapter, produces records at the ad_id level, but the stg_facebook needs it at the ad_set_id level. To avoid duplicates, the result set in the stg_facebook_ads table is now aggregated to the ad_set_id
Initial Release
This is the initial release of this package.
This dbt package aggregates and models data from multiple Fivetran advertising connectors. The package standardizes the schemas from the various ad connectors and creates a single reporting model for all activity. Activity is reported on a daily level, allowing you to analyze your ad spend, click and impressions by campaigns, ad groups and UTM parameters.
Currently the package supports Redshift, BigQuery and Snowflake.