Customer Revenue and Experience Analytics

This dashboard was created to help venue management understand customer revenue, customer behaviour, and customer experience using the audience dataset.

The main purpose of the dashboard is to identify which customer groups generate the most revenue, which seating regions perform well, whether repeat visitors behave differently, and how satisfaction and recommendation scores vary across different customer segments.

The dashboard is designed to support better decision-making by presenting the data in a clear, visual, and interactive way.

Dashboard Sections

• Overview: summarises key KPIs such as total revenue, repeat visit rate, average satisfaction, and average spending.
• Revenue Analysis: explores revenue by type, country, seating region, age group, and repeat visit status.
• Customer Analysis: examines customer distribution, demographics, and purchasing behaviour.
• Satisfaction Experience: analyses satisfaction scores, recommendation likelihood, spending, and repeat visitor patterns.
• Time-Based Analysis: shows how revenue and visit behaviour change over time.

Dataset Used

The dashboard uses a customer-level dataset from a live entertainment venue. Each row represents a customer visit or transaction.

• Customer details: Customer ID, age, gender, and country
• Visit details: visit date and seating region
• Revenue details: ticket price, number of tickets, merchandise spend, and drink spend
• Experience details: satisfaction score and recommendation likelihood
• Behaviour details: repeat visit status

Team Data Miners

University of Moratuwa

Team Members

Mihin Wanniarachchi

Nisira Koswatta

Shehara Punchihewa

Supuli Obeysekera