TaglessCRM is designed to be modular so you can quickly install the basic system and then add any extra functionality you'd like to use. By setting up DAGs in TaglessCRM you can add any relevant functionality you may need.
TaglessCRM is using Airflow for data pipelining. The basic term of a pipeline in
Airflow is referred to as DAG. A DAG in Airflow is a Python script for running
tasks in the right order of dependencies. The DAG name in TaglessCRM indicates
the input and the output sources. For example to send 1P data from BigQuery to
Google Analytics you would use the tcrm_bq_to_ga.
Dag Examples:
Available DAGs in TaglessCRM
Please use the links below to see the setup instructions for each DAG.
| DAG Name | Definition |
|---|---|
| tcrm_bq_to_ads_cm | BigQuery to Google Ads Customer Match |
| tcrm_bq_to_ads_oc | BigQuery to Google Ads Offline Conversion |
| tcrm_bq_to_ads_uac | BigQuery to Google Ads Universal App Campaign |
| tcrm_bq_to_cm | BigQuery to Campaign Manager Offline Conversions |
| tcrm_bq_to_ga | BigQuery to Google Analytics via Measurement Protocol |
| tcrm_bq_to_ga4 | BigQuery to Google Analytics via GA4 API |
| tcrm_gcs_to_ads_cm | Google Cloud Storage to Google Ads Customer Match |
| tcrm_gcs_to_ads_oc | Google Cloud Storage to Google Ads Offline Conversion |
| tcrm_gcs_to_ads_uac | Google Cloud Storage to Google Ads Universal App Campaign |
| tcrm_gcs_to_cm | Google Cloud Storage to Campaign Manager Offline Conversions |
| tcrm_gcs_to_ga | Google Cloud Storage to Google Analytics |
| tcrm_gcs_to_ga4 | Google Cloud Storage to Google Analytics via GA4 API |