Dashboard Guide 6.3.2. Online Topups YoY Analysis

Robyn Marais Updated by Robyn Marais

This dashboard provides a year-over-year (YoY) analysis of online topup behavior, offering insight into when, how, and by whom topups are made leading up to an event. It supports planning around guest communication, infrastructure needs, pricing strategy, and digital engagement campaigns.

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:

Track total online topup value, volume, and average transaction size.

Understand timing patterns for topups to optimize comms and incentives.

Identify which ticket categories and types are driving the highest pre-event engagement.

Correlate ticket purchase timing with topup behavior.

Inform VIP segmentation and high-value guest targeting.

Key Metrics

Total Online Topups: The total ZAR value of all online topup transactions.

Online Topups (Qty): The number of individual online topup transactions.

Average Online Topups: Total Online Topups, divided by number of Online Topup transactions.

Average Online Topup Per Person: Total Online Topups divided by number of customers who topped up.

Cumulative Online Topups Days Before Event

This line chart visualizes how online topup revenue accumulates as the event approaches.

  • How to use it: Spot growth patterns, identify surges in topup behavior, and assess the effectiveness of digital campaigns.

Online Topups Days Before Event

A bar chart showing daily topup totals in the lead-up to the event.

  • How to use it: Identify precise peaks in behavior (e.g., email campaign days).

Online Topups By Category

A horizontal bar graph representing topup value distribution across ticket categories for the current event and past event.

  • How to use it: Understand where the value lies—e.g., Golden Lounge vs. Main Arena.

Average Online Topup Value by Category

A horizontal bar graph comparing average online topup values by ticket category.

  • How to use it: Reveal premium segments with higher engagement.

Query Insights

This AI-generated narrative provides instant context based on the visualisations that follow, in this case the Total Toups Contribution By Ticket Purchase Date 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 topup values are trending over time relative to the same period last year.

Total Toups Contribution By Ticket Purchase Date

A combo bar + dot chart showing topup values and core ticket volumes by when guests purchased tickets (months before event).

  • How to use it: Analyze how early vs. late buyers behave financially.

Average Toups By Ticket Purchase Date

A dual-axis chart plotting both:

  • Bar: Average online topup
  • Dot: Average ticket price
    for different purchase windows.
  • How to use it: Identify if early buyers top up more or less, to refine timing strategies.

Time between Tickets Purchase and Online Topup

This visual (timeline/histogram) shows how many days after buying a ticket a user typically tops up.

  • How to use it: Inform follow-up campaign timing.

Query Insights

This AI-generated narrative provides instant context based on the visualisations that follow, in this case the Customer Value By Ticket Category 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 customer value relates to ticket category relative to the same period last year.

Customer Value By Ticket Category (Online Topups + Ticketing)

A summary table showing:

  • Ticket count
  • Average online topup
  • Average ticket price
  • Combined customer value

How to use it:

  • Spot high-value audience segments.
  • Justify pricing or incentive adjustments.

Customer Value By Ticket Type (Online Topups + Ticketing)

A detailed table breakdown by ticket type (e.g., Early Bird + Credits) showing:

  • Average online topup
  • Ticket price
  • Combined value

How to use it:

  • Analyze performance at a micro level.
  • Understand which ticket products attract top spenders.

How Did We Do?

Dashboard Guide 6.3.3. Onsite Topups YoY Analysis

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