Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Location Analytics help you determine the profitability of a Location.

  • Notice and drop underperforming locations sooner.

  • Notice Identify healthy locations & the number of customers contribute contributing to unit its profitability.

  • Use the report to prove demonstrate unit performance to location owners.

  • Use the report to evaluate another Operator’s Location for acquisition.

  • Checksums prove that the report hasn’t been manipulated.

image-20240513-144526.png

Configure

inputs

Inputs

Select the Locations, Terminal Tags, and a Date Range to determine the transactions of interest.

Configure

output

Output

Select any specific output details, and specify the Output Fiat Currency, then click CALCULATE.

image-20240513-181633.png

will generate the analytic reportanalysis.


image-20240513-180456.png

Export as a CSV (Comma Separated Values) file:

  • the Location Analysis Summary, or

  • the Location Analysis details.

Output notes:

  • Anonymous identities are counted (in aggregate) as a single (1) Identity.

  • A Checksum is a value calculated from all analytics data to verify the data data’s integrity.

  • Age of the location: represents number of months since first terminal deployment at the location.

  • No. of identities generating revenues: is the number of Identities that contributed 100% to the total generated revenue. Anonymous Identities are counted (together) as a single (1) Identity.

  • No. of identities generating 30% revenues: is the number of Identities that contributed up to at least 30% of the total generated revenue. Anonymous Identities are counted (together) as a single (1) Identity.

Example:

If 48 customers transacted $100 each, and 2 transacted $5000 each, then:

  • No. of identities generating revenues = 50

  • No. of identities generating 30% revenues = 2