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Net Promoter Score (NPS) is a widely used customer experience metric that measures customer loyalty, satisfaction, and willingness to recommend a company’s product or service.
It is calculated by asking customers a single question:
On a scale of 0 to 10, how likely are you to recommend this product or company to a friend or colleague?
Net Promoter Score is widely used because it provides a simple yet powerful indicator of customer loyalty and business growth potential. A high NPS typically indicates that customers are satisfied and more likely to:
Beyond the score itself, the NPS system enables organizations to:
For product managers, NPS provides valuable insights into how customers perceive and experience the product. Here are some of the reasons why NPS is so important for product management:
Net Promoter Score is calculated by subtracting the percentage of detractors from the percentage of promoters.
NPS = % Promoters - % Detractors
Suppose a survey receives the following responses:
NPS=60%−10%=50 The NPS score is 50.
NPS values range from -100 to +100:
Here is a table that shows how NPS scores are interpreted:
NPS Score | Interpretation |
|---|---|
70 and above | Excellent |
50 to 69 | Good |
30 to 49 | Neutral |
0 to 29 | Poor |
-100 to -1 | Very poor |
The Net Promoter Score (NPS) scale categorizes respondents into three groups based on their ratings to the "How likely is it that you would recommend our product/service/company to a friend or colleague?" question. Here are the three segments:
Promoters (Score 9-10):
Promoters are essential for organic growth and positive word-of-mouth marketing.
Passives (Score 7-8):
Passives are important because they represent potential promoters if their experience improves.
Detractors (Score 0-6):
Addressing detractor concerns is critical for improving customer retention.
Analyzing NPS effectively requires going beyond the overall score and examining the feedback behind it.
1. Track NPS Trends: Measure and monitor NPS regularly to understand how customer sentiment changes over time.
2. Segment Your Data: Segment responses by:
This helps identify specific customer groups with lower satisfaction levels.
3. Analyze Customer Feedback: Review open-ended responses to identify common issues, pain points, and improvement opportunities.
4. Identify Root Causes: Determine the factors driving high or low scores, such as:
Root-cause analysis helps teams make data-driven improvements.
A basic NPS survey includes the primary question:
“On a scale of 0–10, how likely are you to recommend our product or service to a friend or colleague?”
To gain deeper insights, surveys often include additional questions such as:
These additional questions help organizations understand customer motivations and expectations.
Businesses can collect NPS feedback through multiple channels.
NPS surveys can be displayed on websites through pop-ups or feedback widgets to capture feedback from active users.
Companies often send NPS surveys through email after a purchase, onboarding experience, or customer support interaction.
Email surveys typically include:
Many organizations use customer experience platforms or NPS tools to automate survey distribution and track results.