Projects→Google Ads Deployment Automation
STATUS
● Production
CLIENT
Internal / Portfolio
YEAR
2026
ROLE
Builder & Architect
STACK
PythonGoogle Ads APIOAuth2
EVIDENCE LINKS
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Google Ads Deployment Automation

Automating the entire lifecycle of Google Ads campaigns—from budget allocation to ad copy injection—using the Google Ads API in Python.

Google Ads Deployment Automation

Problem

Managing Google Ads campaigns manually is error-prone and doesn't scale for dynamic or high-volume configurations. This project introduces a fully automated, programmatic deployment pipeline that builds, configures, and maintains complete search campaigns directly from a codebase. By defining campaign configurations as code (CaC), we ensure repeatable, idempotent, and error-free ad deployments.

Architecture & Solution

// System Pipeline

The pipeline is composed of several independent Python scripts that handle authentication, creation, validation, and updates. A campaign generation script parses predefined configs and builds the entire structure programmatically. Target Geos and Negative Keywords are injected dynamically.

Implementation Decisions

  1. Idempotency validation ensures the deployment script checks if a resource exists before recreating it.
  2. Dynamic UTM generation seamlessly tags Responsive Search Ads with granular tracking links.
  3. Configurations treated as code (CaC) to version control ad strategies and remove manual UI intervention.
  4. Automated URL validation scans the account to apply safe bulk patches across active ads.