web analytics

Project Title: Web Analytics for User Behavior Insights

Summary:

This project focuses on analyzing web traffic and user behavior data to extract actionable insights that help improve website performance, user engagement, and conversion rates.

Using Web Analytics tools, the project involved collecting data related to user sessions, page views, bounce rate, traffic sources, and conversion funnels. The main goal was to understand how users interact with the website, identify performance bottlenecks, and provide data-driven recommendations for improvement.

Key Tasks:

Tracking and analyzing website traffic using tools like Google Analytics

Identifying top-performing pages and high-exit pages

Segmenting users by traffic source, device, location, and behavior

Visualizing trends in traffic and engagement over time

Setting up and evaluating Goals and Conversion Funnels

A/B testing suggestions for UX and layout improvements

Tools & Technologies:

Google Analytics / Google Tag Manager

Excel / Google Sheets

Data Studio / Tableau (for dashboards)

Python (optional, for custom data analysis)

Outcome:

The analysis revealed critical user patterns that influenced key decisions in website structure, content strategy, and marketing focus. As a result, the website achieved measurable improvements in engagement and conversion metrics.