Manage risks – minimise payment defaults

Credit agency

Data is the capital of all credit agencies. Our data pool comprises over 20 million distinct addresses. These include over 5 million negative characteristics, which we have generated from payment experience with our own collections management. We also have partnerships and premium partnerships in place with all relevant credit agencies. This allows us to support you in preventing payment defaults and getting a better handle on your own risk. Key information:

Credit checks

We check the credit rating of your shoppers without any delay. This not only enables us to offer you individual recommendations, but also to design your checkout process both quickly and conveniently. Thanks to our additional Verify&Pay risk check, we can dynamically offer shoppers only those payment methods that match their credit rating.

Scoring

Scoring supplements our credit checks. We employ statistical methods here in order to calculate the likelihood of a payment default on the basis of data such as age, place of residence or time of ordering. This in turn allows us to provide you with detailed results and recommended actions.

What is a credit check?

Checking the credit rating of a contractual partner prior to contract conclusion is referred to as a credit check. The respective person's payment behaviour and likelihood of payment default are analysed in detail here. The ability and willingness of a debtor to meet future obligations in full and on time are therefore checked.

How are shoppers classified when performing a credit check?

Following the credit check, a credit rating is issued as a score. An online retailer can use this credit rating as the basis for determining whether or not to enter into the transaction – or which payment method should be offered to the respective shopper. The sale can then still be completed, even with a poor credit rating, if the retailer only offers the shopper secure payment types, such as prepayment or cash-on-delivery.

What is scoring?

Scoring provides a numerical value that offers an objective as possible prediction of a shopper's credit rating. First of all, experience and values from their credit standing are collected and assessed. Companies can use this statistical analysis to reach a credit decision and to specify interest rates. The are two objectives here: to avoid risks and to minimise payment defaults.