Facebook ads data extraction tool

Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.

End-to-end ML pipeline predicting TV ad memorability from EEG brain signals. Compares handcrafted spectral features vs. deep temporal embeddings (TS2Vec, FEMBA) for unaided recall classification. MSc thesis — Politecnico di Milano.

google ads campaign intelligence

facebook typescript conversion tracking

Power BI dashboard analyzing Meta (Facebook & Instagram) advertising campaigns, tracking key marketing KPIs such as CTR, CPC, CPM, conversions, reach, impressions, and campaign performance.

A client-only, offline-first, template-driven outreach list manager built with pure HTML, CSS, and JavaScript. No server, no backend, no dependencies to install, just open index.html in a browser and start tracking your email campaigns.

Regression-based marketing mix analysis for estimating TV, radio, and newspaper channel contribution using Python.

A production-grade dbt (Data Build Tool) project for advertising analytics with models, tests, snapshots, analyses, macros, and YAML documentation for DSPs (DV360, Amazon, TTD, Yahoo), ad servers (DCM), and Salesforce campaign data.

Developed an Artificial Neural Network (ANN) using TensorFlow and Keras to predict product sales based on advertising expenditure across TV, Radio, and Newspaper channels. Applied data preprocessing, feature scaling, model training, and regression evaluation techniques, achieving an R² score of 0.95.

In this project, a fake advertising dataset is analyzed to predict the likelihood of internet users clicking on an advertisement, utilizing features such as daily time spent on the site, age, area income, daily internet usage, ad topic line, city, gender, country, timestamp, and a binary click indicator.

ML model to forecast product sales based on TV, radio, and newspaper advertising spend. Provides ROI analysis and budget optimization insights.

Marketing analytics project in R exploring campaign performance, conversion dynamics, and ROI drivers in Google Ads data.

ASRP ecosystem marketing hub: monetization strategies, growth playbooks, and bilingual docs (EN/RU) for education, science, media & R&D projects. Early-stage startup toolkit.

Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.

📊 Extract advertising insights from Google's Ads Transparency Center for better analysis of ad spend and campaign performance.