Definition Metrics NPS 
eglobalis
AUGUST 19, 2024
Introduction We’re not here to drive the final nail into the coffin of NPS. While the Net Promoter Score (NPS) has long been heralded as the go-to metric for gauging customer loyalty, sentiment, and ”satisfaction”, it’s clear that NPS alone isn’t sufficient—a topic we’ve explored before.
InMoment XI
JANUARY 2, 2023
But “it” is a multi-layered concept, and to truly understand customer experience at scale, you may need to track three very important metrics. Together, these can give you insight into where you stand and how to improve your CX: Net Promoter Score ( NPS ) Customer Satisfaction (CSAT) Customer Effort Score ( CES ).
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Retently
AUGUST 18, 2024
High NPS scores can definitely feel like a big win. It’s a straightforward metric that many businesses use to celebrate their customer satisfaction. But here’s the catch: a high NPS doesn’t always mean everything is going perfectly. Measuring NPS should be just a part of your overall CX strategy, not the sole focus.
Retently
OCTOBER 16, 2023
That makes the Net Promoter Score, as of 2023, 20 years old — an eternity for a customer success metric in the fast-paced world of technology. The reality, however, is that NPS® is just as valuable as a customer satisfaction tool as ever. Create a free trial account for your own SaaS product, then send yourself an NPS email.
InMoment XI
JUNE 14, 2022
Customer experience (CX) metrics have an important role to play in this strategy—something I explored in-depth in a previous post: Customer Experience in the Era of Product Led Growth. Metrics are essential to understanding progress on the product led growth curve. This is where CX metrics are so valuable.
Lumoa
FEBRUARY 9, 2023
Our A to Z Guide to Customer Experience Definitions and Terms covers everything you need to know, from clear definitions of key terms to a comprehensive overview of the topic. Why is NPS ® going up or down? As businesses recognize its value, the shift from a product-centered approach to a customer-centric one continues.
CloudCherry
SEPTEMBER 6, 2018
The definition of predictive analytics is made of up of few different pieces: correlation analysis, which includes customer sentiment and impact analysis; and causal analysis, which includes path analysis. Impact analysis allows you to link survey-type questions that you ask your customers to their NPS responses.
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