Hot Seat Analyzer

The hot seat analyzer is a tool that is part of the Facility Management Module that can be used to determine the usage frequency of seats in a venue and/or the revenue capacity of a particular seat.

It can be used to help determine if the current price zones in the venue are appropriate, or if they should be allocated differently to accommodate some customer preferences in your venue that you are not aware of. Its possible that typical bands of seats might be replaced with different pricing on aisles or zones in the venue.

Opening the Hot Seat Analyzer

To access the analyzer, start with the 'Patron Sales' menu as per the picture below.

How It Works

Refer to the examples on the accompanying web pages. When the 'Hot Seat' analyzer window opens:

Pick a venue on the upper pop up window. Theatre Manager shows the reserved seating events in the venue that are active.
Select a field to summarize by and wether you want comps, free tickets, neither, or both
Select a range of performances in the list on the left that you want to analyze
Theatre Manager will aggregate information based on the seats that are sold in the map, as we'll as adjusting the legend

Caution: as the performances and options are changed, Theatre Manager automatically adjusts the legend and colour scaling. That means a colour on one analysis does not necessarily mean the same as the same colour on another seat analysis.

Seating Quantity Example

This shows the number of tickets sold into each seat across an event called 'High School Musical'. To get this, each performance of the run was selected.

What does it show?

Even on an 25 day run, the balcony had at least 5 seats sold.
the centre was sold out most nights

This tells you where people wanted to sit (sometimes its something you already know, but this proves it). In this case, it also proves that people didn't really like the second row in the front, despite that the seats are close to the stage.

Average Price Example

This shows average ticket price, excluding comps.

You can see where the main floor was discounted and in what looks like some of the prime seats. This indicates graphically, where revenue could have been realized, but might not of for some reason.

Gross Revenue Example

Looking at which seats brought in the most revenue, the front row R1 shows that there is $434+ for the seats.

Yet a row back, the seats were realizing $336-$377. The implication is that being nice and discounting a prime area was a $100 hit for the run of the show per seat. For 10 seats, that is $1000.

Opening Night Example

This example shows picking some arbitrary events. In this case, opening friday was selected for a couple of years.

You can see that people like the front, but nobody wants the sides. This might have been something you know, but it might also be something that you want to quantify and move unpaid tickets to less desirable areas so that donors can have the better seats.