Latest revenue distribution

Latest revenue distributed by product family and by sales channel

Package Sales

Number of packages sold and revenue from packages distributed either over the following dimension, split by package:

• Purchase date
• Purchase month
• Purchase year
• Season

Distribution of the products sold within a package.

Membership Sales

Total number of memberships sold and revenue from memberships.

Percentage of number of memberships and percentage of revenue from memberships per membership.

Number of memberships sold and revenue from memberships distributed either over the following dimension, split by membership:

• Purchase date
• Purchase year
• Purchase month
• Purchase day of the week

Service Sales

Total number of services sold and revenue from services.

Percentage of number of services and percentage of revenue from services per service.

Number of services sold and revenue from services distributed either over the following dimension, split by service:

• Purchase date
• Purchase year
• Purchase month
• Purchase day of the week

Voucher Sales

Total number of vouchers sold and revenue from vouchers.

Percentage of number of vouchers and percentage of revenue from vouchers per voucher.

Number of vouchers sold and revenue from vouchers distributed either over the following dimension, split by voucher:

• Purchase date
• Purchase year
• Purchase month
• Purchase day of the week

Donation Sales

Total number of donations sold and revenue from donations.

Percentage of number of donations and percentage of revenue from donations per donation.

Number of donations sold and revenue from donations distributed either over the following dimension, split by donation:

• Purchase date
• Purchase year
• Purchase month
• Purchase day of the week

Goods Sales

Total number of goods sold and revenue from goods.

Percentage of number of goods and percentage of revenue from goods per good.

Number of goods sold and revenue from goods distributed either over the following dimension, split by good:

• Purchase date
• Purchase year
• Purchase month
• Purchase day of the week

Open Product Sales

Total number of open products sold and revenue from open products.

Percentage of number of open products and percentage of revenue from open products per open product.

Number of open products sold and revenue from open products distributed either over the following dimension, split by open product:

• Purchase date
• Purchase year
• Purchase month
• Purchase day of the week

Revenue utilization per product

Scatter plot of the revenue and target revenue of each product.

Note: target revenues can be defined in the catalogue module of SecuTix, see here for more details.

Contact filters

Number of filtered purchasers and total contacts, which also includes contacts with cancellations.

This advanced contact filtering sheet allows you to achieve more complex filtering cases.

For example, if we take the following sets of customers:

• Swiss customers
• Millennials (those born after 1999)
• Customers having purchased this year

It possible to find the Swiss customers, excluding the millennials and also excluding those having purchased this year, i.e., A - (B U C), which is different than the Swiss customers, excluding the millennials having purchased this year, i.e., A - (B ∩ C).

Contact list

List of contacts including the following information:

• Contact number
• Last name
• First name
• Structure name
• City (of residence)
• Postal code
• Postal address
• Email address
• Total revenue
• Ticket sold (Museum)
• Ticket sold (Live Entertainment)
• Attendance of performances
• Overdue (estimated), i.e., attendance overdue in days
• Last attendance
• Next anticipated attendance
• Interval since last attendance
• Attendance frequency

Catchment area

Geographical map view of the number of contacts per postal code.

Contact purchase details

Detailed view for a single contact.

Geoanalysis

Geographical map view of the following dimensions per postal code:

• Number of contacts
• Revenue
• Tickets sold
• Number of matches

Season ticket transition flow

Season ticket transition flow between seasons split between:

• Season tickets
• No season tickets that season
• No purchase that season

Flow data table for two seasons.

Note: Not available in the Museums vertical

Upcoming performances KPI

Key Performance Indicators (KPI) for the upcoming performances, i.e., based on the performance date:

• number of performances
• total capacity
• number of tickets sold
• number of reservations
• total revenue
• revenue per ticket
• average discount per ticket

Pivot table with the additional measures:

• total tickets (sold + reserved)
• attendance percentage
• max revenue
• revenue per seat

Latest sales KPI

Key Performance Indicators (KPI) for the recent sales, i.e., based on the sales date:

Latest performances

Latest events

Event  KPI

Event weekday/month distribution

Event utilization

Latest s

Latest sales per performance

Calendar view

Year/season comparison

Utilization per month

Seat cat./contingent utilization matrix

Sales potential per performance/seat cat.

Configuration seat map

Sales timeline seat map

Venue utilization

Seasonal utilization

Event life cycle

After event premiere

Sales period

Sales categorization relative to performance date

Sales comparison relative to performance date

Sales cross-distribution

Season ticket sales

Season ticket sales per event/performance

Season ticket sales date distribution

Consumer behaviour 1

Consumer behaviour 2

Contact cross-distribution

Ticket Resales

Latest attendance/sales KPI

KPI for the latest attendance (based on visit date) and sales (based on sales date), split by individuals and groups:

• Attendance
• Revenue
• Tickets sold
• Reservat

Latest sales per date

Ticket and revenue charts for the latest visits.

Ticket sales year comparison

Revenue year comparison

Attendance history

Attendance time/weekday/month distribution

Group attendance cross-distribution

Individuals attendance cross-distribution

Attendance year comparison

Attendance distribution per price type

Guided visits distribution

Visitor flow

Latest group attendance

Upcoming group attendance

Latest individuals attendance

Upcoming individuals attendance

Attendance and revenue per time of day

Attendance/sales cross-distribution

Visit revenue/visitor plot

Timeslot schedule by date/month/weekday

Consumer behaviour

Contact cross-distribution

Upcoming matches KPI

Key Performance Indicators (KPI) for the upcoming matches:

Latest sales KPI

KPI for the latest matches (based on match date) and sales (based on sales date) and comparison with the previous period:

Latest matches

Ticket and revenue charts for the latest matches with respect to the full quota and target revenue respectively.

Sales categorization relative to match date

Comparing ticket sales or revenue with respect to match date for the following dimensions:

• Match

• Team 1

• Team 2

• Seat category

• Audience category

• Sales channel

Includes team logo display.

Latest competitions

Ticket and revenue charts for the latest competitions with respect to the full quota and target revenue respectively.

Competition KPI

KPI for an ongoing competition, with a split on past and forthcoming matches:

• Number of matches

• Seating capacity

• Number of tickets sold

• Turnover

• Turnover per ticket

and a view on the sales to date for the entire competition:

• Tickets per match

• Revenue per match

• Seat capacity utilization

• Revenue per seat

Note: Best for a selected competition.

Competition weekday/month distribution

Number of matches, sold tickets and revenue charts distributed over:

• days of the week

• months

Latest sales per audience category

Latest ticket sales and revenue per sales date, split by audience category.

Latest sales per match

Ticket sales and revenue per match, split between latest sales and prior sales.

Year/season comparison

Ticket sales and revenue monthly comparison over two seasons or years, including cumulative numbers.

Utilization per month

Ticket sales and revenue monthly comparison with respect to the full quota and target revenue respectively.

Sales potential per match/seat cat.

Ticket sales and revenue distributed per match and per seat category and match, split by:

• Full price
• Reduced
• Complementary tickets
• Reservations
• Remaining seats

Reservations and remaining seats allow working on optimizing potential sales.

Configuration seat map

Seat map view of the configuration for a given match color coded by either:

• Sectors (area)
• Seat categories
• Contingents

Sales timeline seat map

Seat map view of the sales status for a given match and at a given point in time, color coded by:

• Type of tickets
  • Full price
  • Season tickets
  • Reduced
  • Complementary tickets
  • Reserved
  • Packages
  • Remaining seats

Venue utilization

Map view of a venue color coded by:

• Utilization: how often a seat is sold
• Revenue: how much revenue a seat generates
• Hot seats: how early a seat is sold

Seasonal utilization

Match attendance percentage distributed either per:

• Season
• Year
• Month
• Week
• Day

Competition life cycle

Comparison of competitions by match number with respect to either:

• Number of tickets
• Revenue
• Revenue per seat
• Utilization (attendance percentage)
• Financial utilization

Sales period

Total ticket sales and revenue by either:

• Day
• Week
• Month
• Season
• Year

Sales cross-distribution

Ticket sales and revenue:

Includes a pivot table for the selected dimension and the following measures:

• Number of tickets
• Revenue
• Revenue per ticket
• Percentage of total tickets of the selected dimension
• Percentage of revenue of the selected dimension
• Percentage of total tickets
• Percentage of revenue

Season ticket KPI

KPI and pivot table for a season ticket:

• Number of season tickets sold
• Revenue
• Revenue per season ticket
• Season ticket target revenue
• Season ticket financial utilization

Note: Best for a selected season ticket.

Season tickets per season

Season ticket sales, ticket sales and revenue distributed by seasons.

Pivot table for the season tickets and the following measures:

• Number of season tickets
• Number of tickets
• Average number of tickets per season ticket
• Revenue
• Revenue per season ticket

Season ticket sales period

Season ticket sales, ticket sales and revenue distributed by either:

• Purchase date
• Purchase month
• Purchase year

Pivot table for the selected sales period and the following measures:

• Number of season tickets
• Number of tickets
• Revenue
• Revenue per season ticket

Season Ticket Usage

Number of tickets within a season ticket and their revenue utilization, i.e., shows/no-shows, per match.

Number of resold tickets within a season ticket and their resales revenue per match.

Ticket Resales

KPI for resales:

• Number of match with resales
• Number of resold tickets
• Revenue of resales
• Number of tickets open for resales
• Potential revenue of resales

Ticket resales and revenue of resales distributed per match and split between resold and open for resales.

Net resale platform revenue and reseller profit per match.

Pivot table for the matches and seat categories and the following measures:

• Number of resold tickets
• Number of tickets open for resales
• Total number of resales tickets
• Revenue of resales
• Potential revenue of resales

Contact cross-distribution

Number of customers, ticket sales and revenue

Pivot table for the selected dimension and the following measures:

• Number of customers
• Number of tickets
• Revenue
• Revenue per ticket

Loyalty transition flow

Customer loyalty flow between seasons split between:

• Members
• Season ticket holders
• Single ticket purchasers:
  • 0-25% of all matches
  • 25-50% of all matches
  • 50-75% of all matches
  • 75-100% of all matches
• No purchase that season

Flow data table for two seasons.

Access control seat map

Seat map view of the access control scans for a given match, color coded by:

• Time of scan
• No-shows
• Available seats

Access control timeline seat map

Seat map view of the access control for a given match and a given point in time, color coded by:

• Controlled before that time
• Not controlled at that time yet (includes no-shows)
• Remaining seats

Access control time distribution

Number of access control scans per 10 minute slots, split by either:

• Match
• Sector (area)
• Seat category

Timeline of the access control scans, split over the selected category.

Customer knowledge seat map

Seat map view of the customer knowledge, i.e., how well you know your customers, for a given match, color coded by:

• Number of key contact info that are known:
  • Email address
  • Phone number
  • Postal address
• Additional tickets of known customers
• Anonymous sales
• Remaining seats