sjvanrossum / marketing-analytics-jumpstart

Marketing Analytics Jumpstart consists of an easy, extensible and automated implementation of an end-to-end solution that enables Marketing Technology teams to store, transform, enrich with 1PD and analyze marketing data, and programmatically send predictive events to Google Analytics 4 to support conversion optimization and remarketing campaigns.

Marketing Analytics Jumpstart

Marketing Analytics Jumpstart is a terraform based, quick-to-deploy end-to-end marketing solutions on Google Cloud. This solutions aims at helping customer better understand and better use their digital advertising budget. After installing the solutions users will get:

• Scheduled ETL jobs for an extensible data model based on the Google Analytics 4 and Google Ads daily exports
• End-to-end ML pipelines for Purchase Propensity, Customer Lifetime Value and Audience Segmentation
• Dashboard for interpreting the data and model predictions
• Activation pipeline that sends models prediction to Google Analytics 4 as custom dimensions

This solution handles scheduling, data engineering, data modeling, data normalization, feature engineering, model training, model evaluation, and programatically sending predictions back into Google Analytics 4.

Disclaimer

This is not an officially supported Google product. This solution in a work in progress and currently in the preview stage.

High Level Architecture

Pre-Requisites

• Create GCP project and Enable Billing
• Set up Google Analyics 4 Export and Google Ads Export to Bigquery
• Backfill BigQuery Data Transfer service for Google Ads
• Have existing Google Analytics 4 property with Measurement ID

Permissions

• Google Analytics Property Editor or Owner
• Google Ads Reader
• Project Owner for GCP Project
• Github or Gitlab account priviledges for repo creation and access token. Details

Installation

Please follow the step by step installation guide with

Note: If you are working from a forked repository, be sure to update the cloudshell_git_repo parameter to the URL of your forked repository for the button link above.

The detailed installation instructions can be found at the Installation Guide.

Contributing

We welcome all feedback and contributions! Please read CONTRIBUTING.md for more information on how to publish your contributions.