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This project analyzes the performance metrics of a newly released app named Vendbridge. Tools used include Microsoft Excel and Tableau.

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App-Product-Analytics

This project analyzes the performance metrics of a newly released app named Vendbridge. Tools used include Microsoft Excel and Tableau.

Business Overview: Harley Analytics recently introduced a new app - Vendbridge - to the market 3 months ago following extensive marketing campaigns. With a significant investment in promotional efforts, the product team wants to monitor the performance of VendBridge since its inception. The team is keen on understanding the extent to which VendBridge has been embraced by the market and also constantly monitor Vendbridge's performance. Key performance metrics (KPIs) such as daily active users (DAUs), installation rates, user sign-up figures, transaction counts, and other product analytics metrics will be used to assess VendBridge's reception and market impact. Using these metrics, the product team can gain a precise understanding of VendBridge's reception and impact in the market as well as its performance. This will help the product team identify areas where it can be improved to better meet the needs of its users.

Aim of the Project: The main objective of this project is to develop an interactive dashboard to monitor the adoption and user engagement on VendBridge App since its launch.

Data Analysis Scope: • Identify key metrics to define the success of the product. • Develop a Dashboard to visualize these key metrics • Present the dashboard to the product team.

Data Description: ✓ Date: The specific day which the recorded data points were observed. ✓ Total App Installs: The total number of times the app was downloaded and installed on a device. ✓ User Sign-Ups: The total number of users who have registered or created an account on the app up to the specified date. ✓ Daily Active Users: The number of unique users who interacted with the app on the specified date. ✓ Num_Transactions: The total number of trade transactions executed by users within the VendBridge app on the specified date. ✓ Uninstalls: The number of times the VendBridge app was removed from devices on the specified date. ✓ Number of App Crashes: The total instances where the VendBridge app unexpectedly stopped working and closed on the specified date. ✓ Avg Time Spent per User (min): The average duration, in minutes, that each user spent interacting with the VendBridge app on the specified date to evaluate the performance of VendBridge since its launch. ✓ Region: The region in which the data was collected ✓ Device: The operating system of the device on which the data was collected

Tech Stack: • Microsoft Excel Sheet • Tableau

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This project analyzes the performance metrics of a newly released app named Vendbridge. Tools used include Microsoft Excel and Tableau.

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