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The object of this project is to analyze website data with over 30,000 users and more than 1,188,124 pageviews to evaluate website performance and to understand product level performance. I use conversion funnel analysis to understand customer behavior in order to improve website traffic via different channels.
This is the second integrated (mid-term) project, in which I had to analyze sales funnel and test multiple hypotheses based on the results of A/A/B test.
Analysis of Metrocar, a ride-sharing platform akin to Uber, to detect funnel bottlenecks and offer solutions. Includes SQL funnel analysis, data trend exploration, Tableau visualizations, and Python sentiment analysis to understand the reasons for low review ratings.
This project aims to analyze the customer funnel of Metrocar, a ride-sharing app (similar to Uber/Lyft), to identify areas for improvement and optimization.
Conducted through UA, our meticulous data examination unveiled valuable insights in patterns, trends, and correlations. Guiding optimization efforts for awareness, loyalty, and revenue, this analysis fostered data-driven decision-making and yielded tangible results. Precise strategies were crafted for sustainable growth and long-term success.
This is a data analysis project using Looker Studio. It offers insights into the Google Merchandise Store's performance with pages for market analysis, cohort analysis, and funnel analytics. The project visualizes key metrics to inform strategic decisions.
User Funnel Analysis is a way to analyze the flow of users on a website or an application. It helps analyze the conversion rate on each page visited by the users.