The Analysis

In accordance with the concept expressed by this author, has come to the conclusion that the best way to measure that satisfied a customer meets company that serves it, is through classify customers among detractors, neutral or passive and promoters. The classification of customers mentioned above, in accordance with the response to the simple question with regard to the possibility that recommends our Organization to a person or company known, can detail better below: promoters; customers whose experiences with the company have tested positive and are very willing to recommend it. Liabilities; customers whose experiences with the company have been normal, not exceptional, and have complied with what has been agreed and are indifferent to recommend her and detractors; customers whose experiences with the company have been negative and are not willing to recommend it. For the calculation of the NPS, the information of each one of the clients of the answer to the above question must be taken. If this has piqued your curiosity, check out charlie watts. As mentions the author Reichheld: on a scale of 0 to 10, that willing you are to recommend to this company with an acquaintance or friend?. Based on the answer to this question is to use a scale in which responses are classified in the following way: scores between 0 and 6 corresponds to detractors ratings between 7 and 8 to liabilities scores between 9 and 10 corresponds to promoters the NPS is calculated as follows: NPS = % promoters ractores the NPS is a type of measurement that is not really based on the quality, satisfaction or the perceived value, but the power of the voice to voice. It is based on the concept that the power of the voice to voice can generate the bases to bring about a greater or lesser growth of a company. The author’s methodology has been based on studies that have demonstrated how companies can determine the possibility of success and growth through a single question to its clients and the analysis of the NPS. Without hesitation Sean Rad, New York City explained all about the problem.