Compare and determine trends for each BINs ability to successfully process transactions. Leverage this report to determine BINs that may need alternative business rules associated with them to help increase billing rate.
- Adjust business rules for specific BINs to increase billing ratio. For example, one may decide to only allow certain consumer ordering on specific BINs to call in to order, be routed to a straight sale or deny the order altogether.
Data presented in this dashboard is based on "Acquisition Date" unless otherwise noted. Acquisition Date is the date that the original order was placed and allows Analytics to present data in an appropriately connected way. Specifically, Acquisition Date associates Re-bill and Recurring transactions (Cycles 1…X) to the Initial transaction that initiated the order. When calculating many measures, disassociating the recurring transaction types from the date of origination (the Initial transaction) causes arithmetic inconsistencies and brings incorrect and misleading results - and ultimately incorrect business decisions.
As an example: measures that incorporate time-phasing and transaction type correlation into the calculation: think Re-Bill rate or Chargeback Rate; they both associate a transactional event to other components of the overall order within a timeframe.
That being said, there are instances where you may want to simply see the count, or value, or count by transaction type, of transactions within a period. When this type of analysis is performed it will be noted as such.
- All test orders marked within the platform are automatically removed from the Analytics data.
- Please reference the Lime Light Order Cycle Nomenclature visual below to understand the way that Lime Light references the phases of each order type.
Video Length: 6:56
You may find the following Help Center articles relevant to Analytics helpful.
- Analytics Overview
- Glossary of Measures
- Glossary of Terms
- How to use Filters
- Analytics Vs. Reports - Data Calculation Methodology