Glossary · CX & Support

What is NPS (Net Promoter Score)?

NPS, or Net Promoter Score, is a metric used to gauge customer loyalty and satisfaction based on their likelihood to recommend a company's products or services.

Definition

NPS, or Net Promoter Score, is a metric used to gauge customer loyalty and satisfaction based on their likelihood to recommend a company's products or services.

Detailed explanation

NPS is calculated by asking customers a simple question: "On a scale of 0 to 10, how likely are you to recommend our product/service to a friend or colleague?" Based on their responses, customers are categorized into three groups: promoters (9-10), passives (7-8), and detractors (0-6). This classification helps businesses understand customer sentiment and loyalty.

To derive the NPS, subtract the percentage of detractors from the percentage of promoters. The resulting score can range from -100 to +100. A positive score indicates more promoters than detractors, which is a good sign for customer satisfaction and loyalty. Regularly measuring NPS allows companies to track their performance over time.

Incorporating NPS into your customer experience strategy, especially with AI chatbots, can provide invaluable insights. AI chatbots can automatically collect NPS feedback after customer interactions, streamlining the process and ensuring timely responses. This allows businesses to quickly address concerns raised by detractors and reinforce relationships with promoters.

Understanding NPS is crucial for businesses aiming to enhance their customer experience. By analyzing NPS data, companies can identify strengths and weaknesses, allowing for targeted improvements in their products or services. This proactive approach ultimately leads to enhanced customer loyalty and retention.

Why it matters

Why this term matters for AI chatbots

NPS is vital for AI chatbots as it directly measures customer satisfaction, helping businesses refine their automated interactions. By leveraging NPS insights, companies can enhance their chatbot functionalities to better meet customer needs.

Example

Real-world example

Imagine a retail company using an AI chatbot for customer support. After a customer interacts with the chatbot, they receive an NPS survey asking how likely they are to recommend the service. If a customer rates it a 9, the business can take note of this positive feedback and continue to improve the chatbot. Conversely, if a customer rates it a 4, the company can promptly investigate the issue to prevent future dissatisfaction.

FAQ

Common questions

How is NPS calculated?+

NPS is calculated by asking customers how likely they are to recommend a product or service on a scale of 0 to 10. The percentage of detractors is then subtracted from the percentage of promoters, yielding a score between -100 and +100.

What does a high NPS score indicate?+

A high NPS score indicates that a large proportion of customers are promoters, suggesting strong customer loyalty and satisfaction. This can be beneficial for businesses seeking to grow through positive word-of-mouth.

How can NPS improve customer experience?+

NPS helps identify areas of improvement by highlighting customer sentiment. By addressing concerns raised by detractors and reinforcing positive feedback, businesses can enhance overall customer experience.

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