Selling to Known Customers: Is It Safe?

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Past gains do not guarantee future gains. Have you ever stopped to think about this phrase? Do you know how important this teaching can be to make your business safer? It is very common for some store owners to question the importance of analyzing the risk profile of a known customer when they talk to me. But yes, we need to talk about this.

Although it may be tempting to simply skip this process and even reduce student database costs when making a purchase, this can be an act that will negatively impact your cash flow.

With that in mind, I made a point of bringing you this very complete and educational article to help you understand once and for all why you need to continue analyzing all of your customers. Are you interested in learning more about this topic? Let's go and I'll help you!

Why analyze customers' risk profile?
First of all, it is essential that you understand why this process of analyzing customer risk profiles is so important to keep your profits up to date, especially when we talk about your own credit systems.

We already know that granting credit in retail is an option that can be economically advantageous in several ways. And it is exactly for this reason that so many retailers are currently seeking credit. However, not everything is perfect and you need to know how to invest and manage your business well to reap the rewards of what you have planted in your business.

During sales, a crucial moment is when the retailer assesses and identifies whether or not the customer is a good payer. To do this, a routine consultation of the customer's CPF is initiated. This is the basic principle to ensure greater security in your installment sales.

Click and learn more about how to check customers' CPFs and make sales safer.

Is it really necessary to analyze the risk profile of every client?
One of the most common questions store owners have is whether it is necessary to analyze all of the store's customers one by one. In this sense, what we can already know is that this is a process that only offers benefits to you. So, why leave it aside?

To answer this question in a practical way, I have separated some examples in images of how these queries can make a difference in your cash flow.

Want to understand more about the risk profile in Credit in a clear, direct way and with real situations? Then check out the video below:
YouTube video
After watching the video, you must have already realized that a lack of analysis can put you in a very complicated situation with your finances, right? But here I will explain it to you even better.

Here at Meu Crediário , we use an analysis model that helps you achieve better credit risk management in a fully automated way. This makes it easy for you to have a resource that uses an algorithm that analyzes statistical and registration data. This resource provides you with a calculated default risk that your customer may pose.

In other words, using this proprietary and intelligent algorithm, we classify customers using a credit score that fits each of them into different risk profiles ranging from letter A to E. And it's quite simple: the closer to letter A, the lower the risk of default on the sale. And the closer to E, the higher the risk.

So why aren't even well-known customers exempt from this?
Often, when we fail to calculate the default rate of already known customers, we end up selling incorrectly to bad payers and leaving little space for new customers who could easily fit into credit scores A, B or C.

After all, if the customer has, for example, not purchased anything from the store for more than 90 days, even though it was a low-ticket sale, you may need to analyze their profile and, depending on the situation, try to find out about the last sale.

Another important aspect can occur during the collection process. If you don’t know what your customer’s score was at the time of the sale, you may also face difficulties when it comes to collecting the payment. Do you know why? Because the store usually has to put more effort into collecting from low-risk customers.