AI advertising campaign analyst: automatic bid optimization in Facebook and Google Ads
A ready-made system of 8 modules: it collects data from the Facebook Marketing API and Google Ads API, analyzes it via an LLM, suggests optimizations, and automatically changes bids and budgets. A web dashboard with one-click change confirmation.
01_architecture_overview.md02_connectors_setup.md03_data_collection_pipeline.md04_llm_analysis_engine.md05_bid_management_automation.md06_web_dashboard.md07_deployment_and_scaling.md08_roi_optimization_playbook.mdREADME.md
Problem
Manual management of bids and budgets in Facebook and Google Ads eats up hours every week. Metrics are scattered across two accounts, decisions are made intuitively, and ChatGPT has no access to ad platform APIs and cannot make changes. As a result, budget is wasted on weak campaigns, while successful ones are not scaled in time.
Solution
The system automatically collects data from the Facebook Marketing API and Google Ads API on a schedule, normalizes the metrics into a single schema, and passes them to the LLM analyst. The LLM generates recommendations, the validator turns them into API commands taking into account your thresholds and limits, and the execution module changes bids, budgets, and campaign statuses. The web dashboard displays everything in real time and allows you to confirm changes manually.
More details
Features
- Connecting to the Facebook Marketing API and Google Ads API via OAuth 2.0 with handling of authorization errors and rate limits
- Collecting campaigns, ad groups, ads, and metrics: CTR, CPC, CPM, conversions, spend
- Normalizing data from the two platforms into a unified schema and storing it in SQLite or PostgreSQL
- A cron-based task scheduler for regular data collection
- An LLM analyst based on OpenAI GPT-4, Anthropic Claude, or a local model that generates recommendations
- Validating LLM responses and converting them into structured commands for the API
- Configuring thresholds and rules (for example, lowering the bid when CTR < 1%)
- Automatically changing bids and budgets via the API: update_bid, update_budget, pause_campaign, enable_campaign
- Safely applying changes: limits, logging, rollback on failures
- A web dashboard with campaign tables, ROI charts, a list of recommendations, and confirmation buttons
- Authentication in the dashboard, configuring thresholds, exporting reports
- Docker deployment, monitoring, alerts, backups, and a security checklist
- ROI playbook: A/B testing strategies, budget reallocation, client report templates
What you get
- 01_architecture_overview.md — system architecture: data flows from the Facebook Ads API and Google Ads API to the LLM analyst and back, component descriptions, environment requirements
- 02_connectors_setup.md — step-by-step setup of connections to the Facebook Marketing API and Google Ads API: access token, OAuth 2.0, account selection, examples of .env and config.json, connection test scripts
- 03_data_collection_pipeline.md — implementation of data collection: API requests, normalization of metrics into a unified schema, storage in SQLite/PostgreSQL, cron scheduler
- 04_llm_analysis_engine.md — the analysis core: preparing prompts for the LLM, generating recommendations, validating responses, converting them into API commands, configuring thresholds and rules
- 05_bid_management_automation.md — module for automatic changes to bids and budgets: update_bid, update_budget, pause_campaign, enable_campaign, limits, logging, rollback on failures, code examples
- 06_web_dashboard.md — mini web application (FastAPI/Flask + HTML/JS) for visualization: campaign tables, ROI charts, list of recommendations, confirmation buttons, authentication, report export
- 07_deployment_and_scaling.md — deployment guide: Docker container, environment variables, cron, monitoring, alerts, scaling to multiple accounts, backup, security checklist
- 08_roi_optimization_playbook.md — methodology for improving ROI: A/B testing strategies, budget reallocation, scenarios for declining conversions, client report templates, hypothesis generation via LLM
Installation guide
Requirements
Options and pricing
Choose the level that suits you:
- Basic — $35 · The main set of product files.
- Standard — $59 · Full set + implementation guide.
- Extended — $94 · Everything from Standard + extended materials and updates.
Frequently asked questions
What is included?
A ready-made system of 8 modules: it collects data from the Facebook Marketing API and Google Ads API, analyzes it via an LLM, suggests optimizations, and automatically changes bids and budgets. A web dashboard with one-click change confirmation.
In what format will I receive the files?
After payment you get a secure link and a ZIP archive with all materials. The link is shown on the order page and available via the Telegram bot.
How long is the download link valid?
The link is active for 24 hours, up to 5 downloads.
Do I need special skills?
The product is designed for entrepreneurs and specialists. A step-by-step guide is included; no programming skills required.
Can I get a refund?
For refunds, contact support: [email protected].