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Library
Grocery Headquarters, Vol 72, #3 - 03/2006
A big part of controlling the costs and risks of accepting credit cards is knowing what’s normal and what needs to be investigated.
Lack of knowledge can be extremely costly to your business. In any area where serious cost and risk control can occur, they must occur. Risk is central to accepting credit cards: What is the risk of not getting paid and, once paid, of not keeping the payment? Controlling cost and risk associated with credit cards is doable.
Four areas must be understood: how you accept credit cards; what type of cards you accept; what types and percentages of downgrades you receive; and evidence of fraud.
Downgrades occur in any instance where a processed transaction does not meet the qualification standard for your processing relationship. Qualification is driven by the parameters that the provider places in his agreement with the individual merchant. They vary significantly and can literally be made impossible to meet by the imposition of additional requirements. Once this baseline pattern is established, deviation from it can be a sign of fraud as well as of an error in procedure, protocol or processing. Each downgrade you receive increases the expense of processing and subjects you to greater risk of termination. Know your patterns.
Is there evidence of fraud? Look at your statement. Note the number of credits, the number of chargebacks, the number and types of downgrades, as well as any change in the percentage or pattern of these findings.
Cafe and restaurant operations are extremely risky for many reasons, including the ability of the staff to increase tips and to steal electronic track data with the use of a wedge. A wedge is a device that allows the copying of credit card data from the magnetic stripe. These activities must be carefully understood and monitored.
Internet and MOTO (mail order/telephone order) environments are the subject of significant fraud because the credit card is not present during the transaction. The best rule of thumb is, whenever possible, to obtain an imprint of the card. For example, when a home delivery is made, if the order was paid for by a "called-in,' credit card, the delivery person should obtain an imprint of the card. In the Internet environment, as much information as possible should be obtained, including billing address and CVV (card verification value).
Once the number and type of risk factors are established for a particular operation, these results need to be compared to an independent database so that predictive modeling can occur. If a merchant does not have access to such a database, then at a minimum he should regularly compare his results from statement to statement to look for changes in patterns.
The most practical approach is to use independent, formal benchmarking and analysis. If that's not possible, then construct a monthly graphic for a period of at least six months and record the following to establish a baseline:
Once a baseline is established, monitor this for pattern changes. When a change is identified, investigation is required.