Analyse ad spend across Google, Meta and any other ad platform from any data source. Three-tier framework, seven scenario playbooks, industry benchmarks, reporting templates, and statistical rigour built in. Platform-agnostic and no integrations required.
Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.
This project analyzes online advertising performance using Exploratory Data Analysis, Hypothesis Testing, and Regression Analysis. It examines key metrics like click-through rates, conversion rates, and ad costs to uncover insights for optimizing ad spend and improving campaign efficiency. Built with Python, Pandas, Scikit-Learn, and Statsmodels.
Data Analytics project using Python, SQL, and Power BI to analyze digital advertising performance and deliver actionable business insights.
AdInsights Dashboard: An interactive web dashboard built with Python (Flask, Pandas, Plotly) to visualize and analyze digital advertising performance. Allows filtering by gender, ad type, and location for detailed insights
A small and fast JavaScript plugin that loads Google AdSense only when the user scrolls or clicks. This helps your website load faster and improves Core Web Vitals.
A practical ad performance dashboard for analyzing spend, clicks, leads, sales, revenue, CPL, CPA, ROAS, wasted spend, and campaign optimization actions.
Interactive Power BI dashboard analyzing social media campaign performance with KPIs, demographic insights, and trend visualization for data-driven marketing decisions.
Power BI dashboard analyzing Instagram usage, user engagement, and ad performance using a structured data model.
To associate your repository with the ad-performance topic, visit your repo's landing page and select "manage topics."