BINs

Overview

Assess your bank transactions by acceptance, denial, or chargebacks to better understand your transactions.

Potential Actions 

Use the BINs dashboard to:

  1. 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

 

Data Elements & Measures

The following data elements and measures are shown on the BINs dashboard. For comprehensive definitions of data elements and measures, please reference the Glossary of Measures

Data Element / Measure Definition
Billing Rate Approved transactions / Total transactions
Attempts Quantity of charges that were attempted
Chargeback % Percentage of orders that have been marked or flagged as chargeback
Chargeback # Count of orders that have been marked or flagged as chargeback
Decline Reason Reason for the decline (e.g., authentication failed, failed screening, CVV required on MID)
Card Type e.g., Visa, Mastercard, Discover, etc
Approved Quantity of charges that were successful
Declined Count of unique declined orders
Chargeback Lost Rev Gross Revenue lost as a result of chargebacks only. Note: The benefits of representment is not reflected in the Chargeback Lost Revenue calculation.
Avg Days to Chargeback (Initial) Average number of days that it takes for a chargeback to occur for an Initial order
Avg Days to chargeback (Recurring) Average number of days that it takes for a chargeback to occur for an Recurring order
Compared to Average Chargeback % Comparison of the average chargeback percentage against the respective BIN.
Gross Revenue Total revenue generated by sales. Refunds, discounts, and expenses are not deducted from Gross Revenue
Declined Count of unique declined orders
Refund # Number of orders that were refunded
Refunded Dollar amount that was refunded

 


Additional Resources

You may find the following Help Center articles relevant to Analytics helpful.

  1. Analytics Overview
  2. Glossary of Measures
  3. How to use Filters
  4. Analytics Vs. Reports - Data Calculation Methodology