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This page presents the full list of sheets available in Data AnalyTix. Depending on the activated verticals, only a sub-set of sheets may be available. The sheets of the GENERAL section are available in all verticals.


GENERAL

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



LIVE ENTERTAINEMENT

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




MUSEUMS

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 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




SPORTS CLUB AND STADIUMS

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, 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

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


Ticket sales and revenue distributed per:
  • Seat category
  • Competition
  • Contingent
  • Site
  • Sales channel
  • Day of week of the match
  • Month of the match
  • Year of the match
  • Season

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


and split by:

  • Season ticket holder
  • Purchase horizon
  • Seat category
  • Contingent


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 distributed per:

  • Seat category
  • Competition
  • Contingent
  • Space
  • Site
  • Sales channel
  • Day of week of the match
  • Month of the match
  • Year of the match
  • Season

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

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


and split by:

  • Country
  • Region
  • Distance (km)
  • Year of first purchase
  • Gender/type
  • Age
  • Member/not member

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


  • No labels