Model N, Inc. is a public American software company founded in 1999 and headquartered in Redwood City, California. The name "Model N" refers to "model next", as in 'the next big thing', according to founder Zack Rinat. The company's focus is on revenue management software, based on developments by Rinat, initially for pharmaceutical and medical device companies.
|Key people||Edward Sander (CEO) Mark Tisdel (CFO) Chris Larsen (CRO) Amelia Generalis (SVP HR) Zack Rinat (Chairman) Charles Robel (Lead Director)|
|Headquarters||Redwood City, United States|
NPS is a customer loyalty metric that measures customers’ willingness to not only return for another purchase or service but also make a recommendation to their family, friends or colleagues.
It is a powerful and effective technique, which can greatly increase a company's revenue if used properly.
The main advantages of NPS are close correlation with a company's growth and easy collection, interpretation and communication of the data.
Yes, it is.
Net Promoter Score is a number from -100 from 100.
Scores higher than 0 are typically considered to be good and scores above 50 are considered to be excellent.
The industry average for Technology / Computer Software: Programming, Data Processing is 0.
The final Net Promoter Score of a company strongly depends on a context in which the satisfaction is measured.
Consider an example: If Model N, Inc. sends out NPS surveys immediately after purchase, they are tracking their customers' initial excitement and the checkout experience.
On the other hand, if they survey their customers a few weeks after the purchase they are also tracking how satisfied their customers are with their products and services over time.
Therefore, comparing the NPS score of Model N, Inc. with your own without any further context is not that useful.
What is extremely useful though, is using the NPS methodology to track the satisfaction of your customers over time. That's where Customer.guru comes in.
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We have estimated the Net Promoter Score of Model N, Inc. based on the publicly available information
including the sentiment of the company-related tweets, 3rd party reviews, and Alexa ratings.