Dashboard Guide 3 - Ticket Type YoY Analysis

Robyn Marais Updated by Robyn Marais

This dashboard provides a year-on-year comparative analysis of ticket sales and revenue performance by ticket type and category, helping users evaluate how the current event is tracking versus the previous event. It is designed to support clients in identifying ticket trends, optimizing inventory, and assessing growth areas across Ticket Types and Categories.

The dashboard focuses on like-for-like analysis across ticket quantities, revenues, and order statuses to highlight category performance and enable better forecasting and strategic planning.

This guide walks you through each key element of the dashboard to explain what the visuals represent and how to interpret the data effectively.

The dashboard enables you to:

  • Compare current and past event performance across ticket types
  • Measure YoY growth or decline in sales volume and revenue
  • Identify which ticket tiers or offers are gaining traction (or underperforming)
  • Make informed decisions about ticket type allocation and marketing focus
  • Understand sales pacing ahead of your next event

Days to go

At the top of the dashboard, you'll find a “Days to Go” figure to help orient the timeline view.

To ensure a like-for-like comparison between current and past events (even if their dates differ), adjust the “Days Before Event” filter to: is between [inclusive] the current days before value and 360. This aligns data points based on how many days remain before the event date to standardise comparison across events.

Important: Be sure to populate the following filters: Current Event (Select one event) Past Event (Select one event) Comparison Events (Select both events)

Current Event, Change, Past Event

This section presents comparison tiles for key performance indicators (KPIs):

  • Total Tickets Sold
  • Gross Revenue

The visual tiles allow for a quick snapshot of current event performance against the equivalent time frame from the previous year to help you gauge if you’re ahead, behind, or on track.

Ticketing Categories YoY

This tabular view breaks down ticket sales by category (e.g., GA, VIP, VVIP) across the current and past events, including percentage change.

The purpose is to assess how each ticket category is performing compared to the previous year, helping you to optimise pricing and allocation.

Example insight: VIP tickets have seen the largest growth (+7%), highlighting increased demand for premium experiences. This could justify allocating more VIP inventory or enhancing premium offerings.

Ticket Category

Past Event

Current Event

% Change

GA Tickets

11,265

11,958

+6%

VIP Tickets

1,983

2,130

+7%

Query Insight

This AI-generated narrative provides instant context based on the visualisations that follow, in this case the Category Sales YoY data.

  • This offers a natural language summary of key trends.
  • It eliminates the need for manual interpretation of graphs.

The purpose is to clearly communicate how ticket sales are trending over time relative to the same period last year.

Category Sales YoY - Weeks Before Event

  • A line graph tracking cumulative sales over time by ticket category (e.g., GA, VIP, VVIP, Merchandise)
  • The x-axis shows weeks before the event, aligning both current and past events

How to use it:

  • Compare sales momentum across years
  • Identify when ticket sales start accelerating
  • Gauge the effectiveness of timed campaigns (e.g., early bird launches, flash sales)

Query Insight

This AI-generated narrative provides instant context based on the visualisations that follow, in this case the Ticket Types YoY data.

  • This offers a natural language summary of key trends.
  • It eliminates the need for manual interpretation of graphs.

The purpose is to clearly communicate how ticket sales are trending over time relative to the same period last year.

Ticket Types YoY

Compares the number of tickets sold per ticket type in the current vs past event

Includes % Change to highlight growth or decline

How to use it:

  • Identify top-performing ticket types
  • Spot emerging trends (e.g., rising interest in bundle offers or premium tiers)
  • See which ticket types may need pricing or promotional adjustments

Ticket Type

Tickets Sold Past Event

Ticket Sold Current Event

% Change

General Access Early Bird

1998

2987

49%

General Access Late Bird

3466

4567

32%

Sales Contribution by Category - Current Event

This horizontal stacked bar chart breaks down ticket sales for the current event by month and ticket category (e.g., GA, VIP, VVIP). It shows the percentage contribution of each category to total monthly sales.

How to use it:

  • Spot which ticket types are dominating sales month-by-month
  • Identify when VVIP or merchandise gains traction in the sales cycle
  • Support decisions about where to focus future marketing based on seasonal trends

Sales Contribution by Category - Past Event

Similar to the current event view, this chart displays historical performance per ticket category across past months.

How to use it:

  • Compare past buyer behavior to current patterns
  • Spot any shift in category preference over time
  • Use historical seasonality to better plan future campaigns or pricing changes

Ticket Types Detail

Adds breakdown by revenue, quantity, and remaining inventory

Provides detail for deeper analysis (e.g., how much stock is left)

How to use it:

  • Identify top-performing ticket types
  • Spot emerging trends (e.g., rising interest in bundle offers or premium tiers)
  • See which ticket types may need pricing or promotional adjustments

Ticket Type

Revenue Past Event

Tickets Sold Past Event

Tickets Quantity Past Event

Tickets Remaining Past Event

Revenue Current Event

Tickets Sold Current Event

Tickets Quantity Current Event

Tickets Remaining Current Event

VIP

500000

500

600

100

400000

400

600

200

Layup Ticket Types by Status

This table breaks down ticket types and shows how many are currently in each purchase status:

  • Placed – Tickets in active layup plans (payment not complete)
  • Complete – Fully paid layup tickets
  • Canceled – Layup plans that were cancelled

How to use it:

  • Track the effectiveness of payment plan offerings
  • See where buyers drop off (e.g., high cancellations for certain types)
  • Spot strong performers where layup drives conversions

Ticket Type

Cancelled LayUp Tickets Past Event

Completed LayUp Tickets Past Event

Orders Placed LayUp Tickets Past Event

Cancelled LayUp Tickets Current Event

Completed LayUp Tickets Current Event

Orders Placed LayUp Tickets Current Event

VIP

500000

500

600

400000

400

600

🙋 FAQs

Q: Does this dashboard include complimentary tickets?

A: No – only paid tickets are included unless the filter is manually adjusted to include comps.

Q: Are refunds shown here?

A: Refunded tickets are typically excluded. This view reflects active, paid tickets only.

Q: Can I compare more than two events?

A: For best clarity, this dashboard is optimized for comparing two events. Ask your account manager about custom setups for multi-event trends.

Q: Can I use this to test dynamic pricing?

A: Yes – it's especially useful to review how price adjustments during sales periods have impacted purchase trends.

How Did We Do?

Dashboard Guide 2 - Daily Sales Dashboard

Dashboard Guide 4 - Price YoY Analysis

Contact