AI agents for growth marketing — built from real fintech campaigns. Prompts + Python.
Manage, analyze, and optimize your ad campaigns across 8 platforms through natural language in Claude Code and Claude Desktop. 120 expert skills · 35 slash commands (29 workflow, 6 utility) · 5 specialized agents · 50 MCP tools
AI-powered PPC optimization automation for Google Ads, Meta Ads, and LinkedIn Ads campaigns
Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.
30 SQL queries for Marketers across 4 contexts — segmentation, engagement, campaign reporting, and data hygiene.
An collection of paid acquisition work across Mygate, Kongsi Tea Bar, and Frozen Bottle, covering lead generation, demand generation, customer acquisition, and conversion optimisation across Meta, Google, and LinkedIn.
Autonomous Ads Growth Agent Platform — An LLM-powered agent system for advertiser growth automation, built on LangGraph orchestration, PostgreSQL + pgvector memory, and deterministic decision-making workflows. Turns advertiser goals into structured campaign strategies with multi-stage feedback loops, draft-only safety gates, and comprehensive audit
Media planning optimizer using CVXPY, modeling real-world advertising constraints and maximizing audience reach under budget.
google meta python leads
Predicting email ad click-through using interpretable ML and counterfactual simulations to uncover behavioral drivers and optimise targeting strategies.
🚀 Autonomous AI Campaign Optimization Engine - Multi-agent system for email campaign optimization
Interactive AI-powered performance marketing simulator that calculates campaign KPIs and generates dynamic optimization recommendations using Python, Streamlit and Google Gemini.
A reusable Codex Skill for diagnosing programmatic advertising delivery issues across requests, bids, wins, impressions, clicks, conversions, spend, and pacing.
Segmentation de 2 240 clients retail, score de réponse aux campagnes (AUC 0,90) et simulation du ROI d'un envoi ciblé (Python, scikit-learn)
Telecom churn analytics and retention decision engine using Python, SQL, machine learning, SQLite, and Tableau.
Performance marketing skills for paid search, paid social, campaign optimisation, conversion tracking, media buying, attribution, and creative testing.
Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to optimize the profit from ad
Google Ads + Zen Payments Automation
Google Digital Marketing & E-commerce Professional Certificate capstone | Marketing analytics, Google Ads optimization (1,265 projected clicks for $970), SEO & performance reporting.
GenPark skill: Automate campaign analysis, GTM simulation, and cross-platform optimization using Nexad.
To associate your repository with the campaign-optimization topic, visit your repo's landing page and select "manage topics."