Dashboard Guide 7.3 - Bar Sales Analysis

Robyn Marais Updated by Robyn Marais

This dashboard provides a detailed analysis of bar sales performance during the event, breaking down sales data by ticket type, station, product, and transaction behavior. It is designed to help clients evaluate product performance, identify high-yield sales points, and understand purchasing behavior across different customer segments.

The dashboard presents insights into key metrics such as total bar sales, number of bar transactions, average spend per attendee, and orders per person. It includes granular breakdowns of sales by bar station and product, as well as average transaction values, making it a valuable tool for optimizing product offerings, pricing strategies, and on-site operations.

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 sales and transaction volumes at bar locations.
  • Identify the most popular bar stations and products.
  • Understand purchasing patterns across ticket categories and ticket types.
  • Assess peak sales times for staffing and stock management.
  • Optimise product mix based on customer buying behavior.
  • Improve layout, promotions, and VIP service strategies based on spend patterns.

Key Metrics

Total Bar Sales: Full gross revenue across all bars at the event.

Total Bar Transactions: Total number of individual sales transactions completed at the bar.

Average Spend per Attendee: Bar: Average amount spent per guest at bars.

Average Order per Person: Average number of transactions each attendee made across all bar sales points.

Total Bar Sales per Hour

A line and bar chart tracking total sales value across different hours of the event.

How to use it:

  • Identify peak periods of bar activity for staffing, stock resupply, and promotions.
  • Spot low-traffic hours for potential happy hour or promotions.

Top 10 Bar Stations

A bar chart ranking the top 10 bar stations by total sales amount.

How to use it:

  • Determine which bar setups are most profitable.
  • Adjust layout for future events based on customer flow.
  • Prioritise premium products and promotions at top stations.

Top 10 Bar Products

A bar chart of the top 10 best-selling products at the bar by total sales value.

How to use it:

  • Identify the highest-demand products.
  • Optimise stock procurement and inventory management.
  • Plan future promotions around popular products.

Event Sales by Ticket Category

A pie chart displaying the distribution of bar sales value across different ticket categories (e.g., VIP, GA, Staff).

How to use it:

  • Understand which customer groups drive bar revenue.
  • Tailor on-site experience and offers to high-value segments.
  • Adjust staffing or bar offerings near dominant segments.

Average Sales Value by Ticket Category

A horizontal bar chart showing the average sales value per attendee within each ticket category.

How to use it:

  • Compare the relative value of different attendee groups.
  • Design loyalty rewards or upsells based on high-spending categories.

Event Sales by Ticket Type

A table listing ticket types alongside their corresponding:

  • Total sales value
  • Item quantities
  • Transaction counts
  • Average transaction value
  • Spend per attendee

How to use it:

  • Drill down into the performance of each ticket type.
  • Analyse pricing tiers against sales behavior.
  • Inform future ticket packaging and tiering strategies.

Total Sales per Station & Product

A table pairing stations and products, with associated sales metrics:

  • Total sale amount
  • Item quantity
  • Transaction count
  • Average transaction value

How to use it:

  • Spot the most profitable product-station combinations.
  • Refine placement of bars and products for higher efficiency and revenue.

Total Product Sales

A table ranking all individual products sold, by:

  • Total sale amount
  • Total item quantity

How to use it:

  • Understand product-specific demand across the event.
  • Optimise bar menu offerings for future events.

How Did We Do?

Dashboard Guide 7.2.3. - Total Topups Demographic Analysis

Dashboard Guide 7.4. - Vendor Sales Analysis

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