Debt collection is a very complex activity which, to be successfully completed, requires companies to have in-depth knowledge of both the profiles of the debtors and the debts to be recovered. We have already dealt with debtor analysis here, therefore today we will deal in more detail with the study of debts to be recovered with Artificial Intelligence, which represents a complementary and necessary activity in order to allow companies to implement the best strategies to achieve their objectives.

Acquiring a warm contact from lead generation campaigns (whether they are DEM, digital advertising or online comparators) has a high cost and can be complicated to manage, as we have seen in this article, but once obtained, companies have a great opportunity to succeed at closing sales.

Companies that deal with debt collection can have different types of objectives, some related to the quantity of recoveries, others related to the quality, that is the value of the recovered amount. The first, as we have seen in this article, refers to how many positions you are able to recover in a given period of time, while the second, which we will cover today, refers to the overall value recovered from the debts treated.

As we have already seen in one of our previous articles, the relationship between company and consumer develops well beyond the buying and selling phase and finds its maximum expression immediately after the customer becomes part of our customer base brand. It becomes essential for companies to be able to implement strategies capable of reducing the churn rate which, if uncontrolled, can have serious repercussions both on revenues and on the corporate image.

Within many Phone Collection campaigns, there are important segments of debtors present that can be defined with the word “spontaneous”, that is: those profiles that will repay the debt without the need to contact and push them to do so. Among these we can find those who have simply forgotten that they had an overdue bill or who are waiting for a late salary in order to settle the monthly payment.

Customer Service has a role of primary importance for modern companies: in addition to being a very important point of contact between company and customer, it also brings with it the possibility of being used to increase sales. In this case we are talking about Customer Service to Sales campaigns, within which we find Upselling and Cross-Selling strategies that allow the company to increase its revenues by offering its customers an upgrade of the current offer or the purchase of complementary products and services.

Customer loyalty is a fundamental objective for any company that wants to remain at the top of its market, whichever it may be, but to succeed it is absolutely necessary to invest time and resources both into identifying the problems that can lead customers to change company , in order to solve them in the shortest possible time, and also into the study of new strategies that are able to maximize retention.