Identifying potential customers based on their Rank and Value
Do you have some data on past clients ? For example, do you have a dataset with past clients Rank and Value, and a variable indicating if the client was good or not (binary variable 1 if the client is good and 0 if it's bad, or a variable to use as indicator, like profit done on the client for example).
If you have such a thing, your problem is a basic classification problem, where your threshold is not 0.5 (the probability you want to be &quot;Good Client&quot; is not 0.5, as it is on default cases), but where you just select the 100 customers with the best probability (closer than 1).
If you don't have such dataset, and such variable indicating if the client was good or bad, based on what you know from the past, then you can't create a model since you don't know how to train it.