File-Based Aggregate Booking Contributions

Overview

Participants contribute total bookings counts for a number of key metrics. Counts are broken down by zipcode + effective_start_date + effective_end_data.

In the event that you want to contribute player participation data, ie how many players have played during the collection period, use the following fields:

  • unique_player_count_per_facility

  • unique_player_reserved_court_count

Aggregate data is serviced by file contribution only.

Please escape any special characters such as embedded quotes with a '\' (backslash) before including it in any field in the file. See Special Characters

File Submission Attributes

The following criteria applies to the data submissions

Attribute

Detail

Attribute

Detail

Frequency

Monthly

Timeframe to included

Cummulative Year to Date based on Reservation date

Inclusion Criteria

Only US Zipcodes should be included

Effective Start/End Dates

Should be based on Reservation Date

Aggregation Grain

effective_start_date,
effective_end_date,
game_type,
zipcode,
facility_id

File Name Convention

Player files use the following naming convention

BOOKINGS-[SOURCENAME]-[YYYYMMDD].csv

Where:

  • SOURCENAME: The contributor name assigned by USTA.

  • YYYYMMDD: Effective date of contribution

Column Definitions

The following table lists the fields and formats.

Field

Required/Optional

Identifying

Format

Description

Field

Required/Optional

Identifying

Format

Description

1

source_name

Required

Yes

Text

Contributor (USTA will assign)

2

effective_start_date

Required

Yes

YYYY-MM-DD

Start of reported data (Reservation date),
Should always be jan 1 of the current year

3

effective_end_date

Required

Yes

YYYY-MM-DD

End of reported data (Reservation date) - should always be the last day of the reporting month, ie 2023-10-31

4

game_type

Required

Yes

Text

TENNIS/PICKLEBALL

5

zip_code

Required

Yes

5 digit zipcode - must include any leading zeros

Postal code

6

facility_id

Required

Yes

Text

Unique id (or name) assigned by the participating vendor for the facility

7

unique_player_count_per_facility

Optional

No

Number

Unique players based on aggregation grain. Includes unique players for court reservations, event reservations and lesson reservations.

8

unique_player_reserved_court_count

Optional

No

Number

Unique players based on aggregation grain. Includes unique players for court reservations only.

9

unique_player_reserved_event_count

Optional

No

Number

Unique players based on aggregation grain. Includes unique players for event reservations only.

10

unique_player_reserved_lesson_count

Optional

No

Number

Unique players based on aggregation grain. Includes unique players for lesson reservations only. Clinics apply to this category.

11

court_reservation_count

Optional

No

Number

Total count of court reservations based on aggregation grain. (Includes repeats by individuals)

12

event_booking_count

Optional

No

Number

Total count of event reservations based on aggregation grain. (Includes repeats by individuals)

13

lesson_booking_count

Optional

No

Number

Total count of lesson reservations based on aggregation grain. (Includes repeats by individuals)

14

match_count

Optional

No

Number

Matches where a score is recored.

Example

BOOKINGS-ACTIONSPORTS-20240620.csv

Where:

Source Name: ACTIONSPORTS

Effective Date: 2024-06-20

source_name,effective_start_date,effective_end_date,game_type,zip_code,facility_id,unique_player_count_per_facility,unique_player_reserved_court_count,unique_player_reserved_event_count,unique_player_reserved_lesson_count,court_reservation_count,event_booking_count,lesson_booking_count,match_count ACTION_SPORTS,2023-01-01,2023-01-31,TENNIS,10577,12345,99,33,33,33,33,33,33,20 ACTION_SPORTS,2023-01-01,2023-01-31,TENNIS,10604,Star Tennis Academy,99,33,33,33,33,33,33,20

 

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