NPS Score: The Core Metric for User Loyalty

In user operations, many businesses struggle with a blind spot: "not knowing if users are willing to recommend their brand." Traditional satisfaction surveys often stay superficial, but NPS score and NPS survey cut to the core. They quantify user loyalty through one key question, distinguishing between "Promoters," "Passives," and "Detractors" to help brands find precise ways to boost reputation.

FitHub, a U.S. chain fitness brand, used this approach to increase user referral rates from 28% to 55% and improve member retention by 32%. The key: They didn’t treat NPS survey as a "routine task." Instead, they used professional tools to design an NPS form, analyzed NPS metrics in depth, and turned survey results into actionable improvements.

1. FitHub’s Dilemma: High User Churn, Low Referral Rates

With 30 locations across the U.S., FitHub focuses on "24/7 self-service fitness + personalized classes." In 2023, its monthly member churn rate reached 18%, and user referral rates were only 28%—many members signed up but stopped visiting after a few times, and few actively recommended the brand to friends.

Sophia, the operations director, recalled: "We used to do satisfaction surveys, asking users ‘Are you satisfied with our gym services?’ Eighty percent chose ‘satisfied,’ but actual retention and referral data were poor. Later, we realized ‘satisfaction’ doesn’t equal ‘willingness to recommend.’ We needed a more accurate metric for user loyalty, and NPS score was exactly that."

Worse, the team lacked a professional NPS tool. They could only collect feedback via simple spreadsheets and calculate NPS score manually. This was not only inefficient but also made it impossible to analyze "why users were unwilling to recommend," leaving improvement directions unclear.

2. Using NPS Survey to Understand User Attitudes: Distinguishing Promoters from Detractors

Sophia’s team decided to break the deadlock with NPS survey, focusing on designing a professional NPS form through SurveyMars, and conducting the survey in two steps:

Step 1: Design the core NPS question. Following NPS standards, they sent surveys to members after classes or when leaving the gym. The core question was: "How likely are you to recommend FitHub to friends or colleagues? Please rate from 0-10." Two follow-up questions were added: "What’s the main reason for this rating?" and "What’s the top area we need to improve?" This way, they collected both NPS score and the reasons behind it.

Step 2: Precisely categorize user groups. Based on scores, users were divided into three groups: Promoters (9-10 points, willing to actively recommend), Passives (7-8 points, satisfied but unwilling to recommend), and Detractors (0-6 points, likely to give negative reviews). The first survey collected 1,200 valid responses, with an NPS score of only 32 (industry average: 45) and Detractors accounting for 38%.

"SurveyMars saved us a lot of trouble," Sophia said. "Its NPS tool automatically calculates NPS score, no manual totaling needed. It also displays feedback categorized by ‘Promoters/Passives/Detractors,’ so we could immediately see that Detractors were most concerned about three issues: ‘outdated equipment,’ ‘difficult class booking,’ and ‘locker room hygiene.’"

3. Implementing Improvements Based on NPS Feedback: Boosting Score and Retention

Targeting the issues found in the survey, FitHub developed targeted improvement plans and tracked results via NPS survey:

For "outdated equipment": 80% of old equipment was updated within 3 months, and 10 new smart fitness devices were added;

For "difficult class booking": A mini-program booking system was launched, and the frequency of popular classes was increased;

For "locker room hygiene": More cleaners were hired, and a "2-hour inspection and disinfection" system was implemented.

Three months after the improvements, the team launched another NPS survey via SurveyMars: NPS score rose from 32 to 58, Promoters increased from 24% to 48%, and Detractors dropped to 15%. Concurrently, member retention improved by 32%, and the proportion of new members from "existing member referrals" rose from 28% to 55%, saving significant customer acquisition costs.

More importantly, SurveyMars’ NPS metric analysis feature could compare changes between the two surveys: "For example, mentions of ‘outdated equipment’ dropped from 35% to 8%, proving the improvements worked. We no longer had to rely on intuition—data directly confirmed if our direction was correct."

4. 3 Practical Tips for Effective NPS Surveys

Many brands focus only on scores during NPS survey and ignore follow-up actions. Drawing from FitHub’s experience, three key tips for successful NPS survey are:

Never skip follow-up questions. To make NPS score useful, always add open-ended questions like "Why this rating?" SurveyMars’ NPS form templates come with built-in follow-up questions to help uncover deep-seated user needs behind scores.

Track score changes regularly. NPS score is dynamic—conduct surveys monthly or quarterly to compare trends. SurveyMars automatically generates NPS metric trend charts, letting you clearly see "if scores improved after changes" and "which issues remain unsolved."

Respond to Detractors promptly. Follow up with low-scoring Detractors via email or phone to inform them of improvements. SurveyMars supports an "auto-alert for Detractor feedback" feature, notifying the operations team immediately to prevent the spread of negative user sentiment.

5. Conclusion: NPS Survey Is the "Compass" for User Operations

Many brands see NPS survey as just "calculating a score," but fail to recognize it as a core tool for measuring user loyalty. NPS score helps you understand your brand’s position in users’ minds, while NPS feedback points you to precise improvement directions.

For small and medium-sized brands with limited resources for complex research, NPS survey offers the best value for money. Like FitHub, using SurveyMars：to create a good NPS form and collect NPS feedback lets you boost user loyalty at minimum cost. After all, a brand that users are willing to recommend is truly competitive.

FAQ

Q1: How does SurveyMars calculate the NPS score, and does it follow the standard industry formula?

A: SurveyMars calculates NPS using the global industry standard formula. First, it categorizes responses to the core NPS question (“How likely are you to recommend us?” 0–10 scale): Promoters (9–10), Detractors (0–6), and Passives (7–8). It then computes NPS as (Promoters% – Detractors%)—Passives are excluded from the calculation. The result is a score between -100 and 100, with clear labels (e.g., “Good” for 0–49, “Excellent” for 50+) in the dashboard, so you get consistent, industry-aligned results.

Q2: Is there a way to see which specific customers are Promoters/Detractors in SurveyMars NPS results?

A: Yes—if you collect customer identifiers (e.g., email, name) in your NPS survey. In the “NPS Responses” tab, SurveyMars lists each respondent’s score, category (Promoter/Detractor/Passive), and any collected contact info. You can filter the list to show only Promoters (to follow up with positive feedback) or Detractors (to resolve issues). This lets you take targeted action—e.g., email a Detractor to address their concerns, or invite a Promoter to leave a review—turning NPS data into customer engagement.

Q3: What if a respondent gives a high NPS score but negative open-ended feedback—how does SurveyMars handle this?

A: SurveyMars links NPS scores to open-ended feedback, so you can spot inconsistencies. In the “NPS Responses” tab, each score is paired with the respondent’s comments (e.g., a Promoter score of 10 with “Love the product, but support is slow”). You can filter to view these mixed responses (e.g., “Promoters with negative comments”) to dig deeper. This avoids missing hidden issues—even high scorers might have concerns that, if unaddressed, could turn them into Detractors later.

Q4: Can I export my NPS score and breakdown (Promoters/Detractors) from SurveyMars to share with my team?

A: Yes—you can export NPS data in multiple formats. In the “NPS Dashboard,” click “Export” to choose Excel, CSV, or PDF. Excel/CSV files include raw data (each respondent’s score, category, comments) and calculated percentages. PDF exports have a visual summary: the overall NPS score, a bar chart of Promoter/Detractor/Passive distribution, and key comment snippets. Exports are ready to share in meetings—you can also add your brand logo to PDFs (via “Design Settings”) for a polished look.

Q5: Can I segment my NPS score by customer groups (e.g., by region, product used) in SurveyMars?

A: Yes—SurveyMars lets you segment NPS to see scores for specific groups. First, add a segmentation question to your NPS survey (e.g., “Which product do you use?” or “What region are you in”). In the “NPS Dashboard,” use the “Segment Filter” to select a group (e.g., “West Coast customers” or “Users of Product X”). The platform updates the NPS score and breakdown for that segment—e.g., “West Coast NPS: 48, East Coast NPS: 30”—helping you identify which groups need more attention.