Aug 1, 2026
Live Entertainment Marketing & Revenue Intelligence
Live entertainment teams have to make decisions quickly. Ticket inventory has a fixed deadline, marketing performance can change week to week, and strong traffic does not always translate into ticket sales.
Problem
Managing performance across multiple events, venues, and marketing channels makes it difficult to see what is actually driving ticket sales. Some of the key questions are:
- Which events are falling behind sales targets?
- Where are customers dropping out of the purchase funnel?
- Which marketing channels are driving efficient conversions?
- Is weak performance caused by traffic, audience quality, or checkout friction?
- Where should the remaining marketing budget be focused?
The challenge is not just reporting performance — it is turning the data into a clear next step.
Solution
I built LivePulse AI, a live entertainment analytics dashboard that brings ticket sales, marketing performance, conversion behavior, and event-level revenue into one view.
The project uses synthetic multi-venue data to simulate common business scenarios and show how an analyst could monitor performance, identify risks, forecast ticket demand, and support marketing decisions.
Monitor performance → diagnose the problem → evaluate options → recommend action
Key Features
01
Ticket Sales & Forecasting
- Tracks sales against expected pace
- Forecasts final ticket sell-through
- Highlights events that may miss capacity or revenue targets
- Shows sales trends as the event date approaches
02
Marketing Funnel Analysis
- Tracks the customer journey from impressions to ticket purchase
- Identifies conversion drop-offs
- Compares performance by channel, device, campaign, and audience
- Helps distinguish traffic problems from conversion problems
03
Channel Performance
- Tracks ROAS, CPA, CPM, CTR, and conversion rate
- Compares performance across paid search, social, email, and retargeting
- Shows which channels are driving traffic versus actual purchases
04
Multi-Event Performance
- Provides an executive view across multiple events and venues
- Compares sales, revenue, marketing efficiency, and risk level
- Supports both individual live events and multi-show productions
05
Budget Scenario Planning
- Tests different marketing budget allocations
- Estimates potential impact on ticket sales and revenue
- Helps evaluate where additional spend may be most effective
06
Executive Summary
- Turns the underlying analysis into a concise business summary
- Highlights key performance changes, risks, and recommended actions
- Provides supporting metrics and assumptions behind each recommendation
About the Data
Because internal entertainment data is not publicly available, I created a synthetic dataset designed around realistic scenarios such as:
- Declining mobile checkout conversion
- High traffic with weak purchase conversion
- Strong search performance with limited budget
- Retargeting saturation
- Underperforming weekday showtimes
The goal of the project is to demonstrate how I approach a business analytics problem — from defining KPIs and structuring the data to identifying performance issues and translating the findings into actionable recommendations.
Turning ticketing and marketing data into clearer business decisions.