Latest revenue distribution

Package Sales

Membership Sales

Service Sales

Voucher Sales

Donation Sales

Goods Sales

Open Product Sales

Revenue utilization per product

Contact filters

Contact list

Catchment area

Contact purchase details

Geoanalysis

Season ticket transition flow

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 sales per audience category

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

Latest sales per date

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

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 sales, i.e, based on the sales date.

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, spli

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

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

• Sectors (area)
• Seat categories
• Contingents

Sales timeline seat map

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

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

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

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

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

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