An automation system that manages, tests, and optimizes Google Ads and Meta Ads campaigns with a sharp focus on lead quality and conversion performance. It replaces manual PPC workflows with a data-driven automation pipeline built for scalable lead generation and consistent optimization.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Google Meta Leadgen Ppc Automation you've just found your team — Let's Chat. 👆👆
Paid advertising often breaks down when optimization is driven by volume instead of outcomes. This project automates the repetitive and error-prone parts of PPC campaign management so performance decisions stay grounded in lead quality, intent, and conversions.
Instead of chasing cheap clicks, the system continuously evaluates what actually turns into customers and adjusts campaigns accordingly.
- Filters low-intent traffic before it wastes ad spend
- Aligns keyword, audience, and ad copy testing with conversion data
- Surfaces clear insights instead of raw metrics
- Scales optimization without increasing manual workload
| Feature | Description |
|---|---|
| Campaign Sync | Automatically pulls live data from Google Ads and Meta Ads accounts |
| Lead Quality Scoring | Evaluates leads based on conversion events and downstream signals |
| Keyword Performance Analysis | Identifies high-intent vs low-quality keyword traffic |
| Audience Segmentation | Analyzes audience performance across platforms |
| A/B Test Automation | Runs structured tests on ad copy, keywords, and audiences |
| Conversion Tracking Validation | Ensures conversion signals are correctly attributed |
| Performance Alerts | Flags CPL spikes, conversion drops, and anomalies |
| Optimization Engine | Applies bid, budget, and targeting adjustments programmatically |
| Reporting Pipeline | Generates clear, explainable performance summaries |
| Rate Limiting & Quotas | Respects API limits and platform compliance |
| Configurable Rules | Allows tuning optimization logic without code changes |
| Step | Description |
|---|---|
| Input or Trigger | The pipeline runs on a scheduled interval or manual trigger to fetch fresh campaign data. |
| Core Logic | Data is normalized, validated, and processed through scoring and testing logic focused on lead quality and conversions. |
| Output or Action | Campaign optimizations, alerts, and structured reports are generated automatically. |
| Other Functionalities | Includes retries for API failures, detailed logs, and parallel data processing. |
| Safety Controls | Enforces rate limits, change thresholds, cooldown periods, and audit logs for every action. |
| Component | Description |
|---|---|
| Language | Python |
| Frameworks | FastAPI |
| Tools | Google Ads API, Meta Marketing API, Pandas |
| Infrastructure | Docker, GitHub Actions |
google-meta-leadgen-ppc-automation/
├── src/
│ ├── main.py
│ ├── api_clients/
│ │ ├── google_ads_client.py
│ │ ├── meta_ads_client.py
│ ├── optimization/
│ │ ├── lead_scoring.py
│ │ ├── bid_optimizer.py
│ │ └── test_manager.py
│ ├── analytics/
│ │ ├── keyword_analysis.py
│ │ ├── audience_analysis.py
│ │ └── conversion_tracking.py
│ └── utils/
│ ├── logger.py
│ ├── config_loader.py
│ └── rate_limiter.py
├── config/
│ ├── settings.yaml
│ ├── platform_credentials.env
├── logs/
│ └── automation.log
├── output/
│ ├── performance_report.json
│ └── lead_quality_summary.csv
├── tests/
│ └── test_optimization_pipeline.py
├── requirements.txt
└── README.md
- Performance marketers use it to optimize campaigns continuously, so lead quality improves without daily manual checks.
- Growth teams use it to test keywords and audiences at scale, so insights arrive faster and clearer.
- Agencies use it to standardize PPC optimization across accounts, so results stay consistent.
- Analytics teams use it to connect ad spend with real conversion outcomes, so decisions stay data-driven.
How does the system determine lead quality? Lead quality is derived from conversion events, post-click behavior, and configurable scoring rules that prioritize intent over volume.
Can optimization rules be customized? Yes. Thresholds, scoring logic, and optimization constraints are defined in configuration files and can be adjusted without changing core logic.
Does this make direct changes to live campaigns? Yes, but only within defined safety limits. All actions are logged and constrained by cooldowns and change thresholds.
What platforms are supported? The system is designed specifically for Google Ads and Meta Ads using their official APIs.
Execution Speed: Processes campaign datasets across accounts in under 3–5 minutes per run, depending on volume.
Success Rate: Maintains a 93–94% successful execution rate across production runs with automatic retries.
Scalability: Handles hundreds of campaigns and thousands of keywords across multiple ad accounts in parallel.
Resource Efficiency: A single worker averages under 500MB RAM usage with minimal CPU overhead during API-bound tasks.
Error Handling: Implements structured retries, exponential backoff, detailed logging, and safe recovery for partial failures.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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