List of reports (sheets)
DAN is not in service anymore and will be deprecated in April 2026.
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 [G]
Latest revenue distributed per product family, sales channel and product.
Package Sales [G]
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 [G]
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 [G]
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 [G]
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 [G]
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 [G]
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 [G]
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 [G]
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 [G]
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
Millen
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 [G]
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 [G]
Geographical map view of the number of contacts per postal code.
Contact purchase details [G]
Detailed view for a single contact.
Geoanalysis [G]
Geographical map view of the following
Number of contacts
Revenue
Number of tickets sold
Number of matches
Season ticket transition flow [G]
Season ticket transition flow between seasons split between cultural contacts having:
purchased a season ticket that season
purchased a single entry but no season tickets that season
not purchased anything at all that season
Flow
Note: Not available in the Museums vertical
LIVE ENTERTAINMENT
Upcoming performances KPI [LE]
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
Maximum revenue
Revenue per seat
Latest sales KPI [LE]
KPI for the latest matches (based on performance date) and sales (based on sales date), compared with the previous period:
Pa | Sales |
---|---|
|
|
Latest performances [LE]
Ticket and revenue charts for the latest performances with respect to the full quota and target revenue respectively.
Pivot table by performance date, performance start time, performance and seat category, for the following measures:
Seating capacity
Number of sold tickets
Capacity utilization
Maximum revenue
Target revenue
Revenue
Revenue per seat
Revenue per ticket
Discount per ticket
Latest events [LE]
Ticket and revenue charts for the latest events with respect to the full quota and target revenue respectively.
Pivot table by event for the following measures:
Number of performances
Seating capacity
Number of sold tickets
Capacity utilization
Maximum revenue
Target revenue
Revenue
Financial utilization
Revenue per seat
Revenue per ticket
Discount per ticket
Number of sold tickets per performance
Revenue per performance
Event KPI [LE]
KPI for an ongoing event, with a split on past and forthcoming performances:
Number of performances
Seating capacity
Number of sold tickets
Turnover
Turnover per ticket
Discount per ticket
and a view on the sales to date for the entire competition:
Number of sold tickets per performance
Revenue per performance
Capacity utilization
Financial utilization
Revenue per seat
Note: Best for a selected competition.
Event weekday/month distribution [LE]
Number of performances, sold tickets/available seats and revenue/target revenue charts distributed over:
days of the week
months
Event utilization [LE]
Scatter plot of performances and events for the following sets of dimensions:
number of sold tickets versus seating capacity
revenue and target revenue
Note: target revenues can be defined in the catalogue module of SecuTix, see here for more details.
Latest sales per audience category [LE]
Latest ticket sales and revenue per sales date, split by audience category.
Pivot table by purchase month, purchase date, performance and audience category for the following measures:
Number of sold tickets (including cancellations)
Number of cancellations
Number of sold tickets
Revenue
Revenue per ticket
Discount per ticket
Latest sales per performance [LE]
Sold tickets/available seats and revenue/target revenue per match, split between latest sales and prior sales.
Pivot table by performance date, performance start time, match, seat category and contingent for the following measures:
Number of sold tickets (including cancellations)
Number of cancellations
Number of sold tickets
Revenue
Revenue per ticket
Discount per ticket
Calendar view [LE]
Performance date and purchase date calendar view, with coloring sliders, for the following dimensions:
Number of performances
Number of sold tickets
Revenue
Capacity utilization
Financial utilization
Revenue per seat
Year/season comparison [LE]
Sold tickets and revenue monthly comparison over two seasons or years, including cumulative numbers.
Pivot table by month of the performance, event, sub-theme and venue for the following measures of each selected periods and the differences:
Number of performances
Number of sold tickets
Capacity utilization
Revenue
Utilization per month [LE]
Sold tickets and revenue monthly comparison with respect to the full quota and target revenue respectively.
Pivot table by month of the match, event, sub-theme and venue for the following measures:
Number of sold tickets
Seating capacity
Difference between the seating capacity and the number of sold tickets
Capacity utilization
Revenue
Target revenue
Difference between the adjusted target revenue and the revenue
Financial utilization
Maximum revenue
Seat cat./contingent utilization matrix [LE]
Pivot table by event and performance date for the following measures, split over seat category and contingent:
Tickets | Revenue |
---|---|
|
|
Sales potential per performance/seat cat. [LE]
Sold tickets and revenue distributed per performance and per seat category and performance, split by:
Full price
Reduced
Complementary tickets
Reservations
Remaining seats
Potential revenue
Reservations and remaining seats allow working on optimizing potential sales.
Configuration seat map [LE]
Seat map view of the configuration for a given performance, color coded by either:
Sectors (area)
Seat categories
Contingents
Sales timeline seat map [LE]
Seat map view of the sales status for a given performance 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 [LE]
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 [LE]
Performance capacity and financial utilization distributed either per:
Season
Year
Month
Week
Day
Weeks after premier
Event life cycle [LE]
Comparison of events by performance number with respect to either:
Number of sold tickets
Sales date relative to performance date
Revenue
Revenue per seat
Capacity utilization
Financial utilization
Discount per ticket
After event premiere [LE]
Comparison of events by days after the premier with respect to either:
Number of sold tickets
Sales date relative to performance date
Revenue
Revenue per seat
Discount per ticket
Sales period [LE]
Sold tickets and revenue by either:
Day
Week
Month
Season
Year
Sales categorization relative to performance date [LE]
Sold tickets and revenue, totals and per performance, comparison in days before the performance, split by:
Seat category
Sales channel
Audience category
Ticket type (tariff)
Sales comparison relative to performance date [LE]
Sold tickets and revenue, absolute and per performance, comparison in days before the performance, split by:
Day of the week of the performance
Event
Sub-theme
Venue
Month of performance
Year of performance
Season
Performance
Activity
Sales cross-distribution [LE]
Sold tickets and revenue:
distributed per | an |
---|---|
|
|
Pivot table for the selected dimension and the following measures:
Number of sold tickets
Revenue
Discount per ticket
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 sales [LE]
Season ticket sales, sold tickets within a season ticket and revenue distributed per:
season
Pivot table by season and season ticket for the following measures:
Number of season tickets
Number of tickets sold within a season ticket
Average number of tickets sold per season ticket
Revenue
Revenue per season ticket
Season ticket sales per event/performance [LE]
Season ticket sales and revenue distributed per:
event
performance.
Pivot table by season, season ticket and seat category for the following measures:
© SecuTix 2023 - Login