# NPS Score Calculator MCP for AI Agents AI Agent Connect > NPS Score Calculator helps you turn raw customer feedback into clear loyalty metrics. It calculates your Net Promoter Score, assigns performance tiers like "Good" or "Excellent," and gives you the statistical margin of error. You can also pull industry benchmarks for sectors like Retail or Tech to see where you actually stand compared to the competition. ## Overview - **Category:** business - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_4LRFr5TB0QWNc8KoshVMzg90OFBdNYSk68t8uomU/ai-agent-connect - **Tags:** nps, customer-loyalty, statistics, benchmarking, marketing ## Description The NPS Score Calculator handles the heavy lifting of analyzing customer loyalty data. If you have a pile of survey responses and just need to know if your brand is doing well or if you're in the danger zone, this Connector does the math for you. Instead of squinting at spreadsheets, you can just tell your agent to process the raw data. It'll spit out a clean Net Promoter Score, tell you if that score is actually "Good" or "Critical" based on standard tiers, and even give you the margin of error so you know how reliable your sample size is. It's a huge time saver for marketing teams who need to report progress to stakeholders. If you're looking for a way to manage these types of connections, the Vinkius catalog makes it easy to plug this right into your existing workflow. You can even see how you stack up against other companies in your specific niche, like Retail or Technology, by pulling in real industry benchmarks. It turns a messy pile of "how did we do?" into a clear, defensible strategy. ## Tools ### get_industry_benchmark Pull the standard NPS targets for specific sectors like Retail or Technology. ### calculate_nps Turn raw survey responses into a Net Promoter Score and a statistical margin of error. ### compare_performance Check how your current NPS score stacks up against the industry benchmark. ## Prompt Examples **Prompt:** ``` Calculate my NPS from these responses: 10 people gave a 10, 5 people gave a 9, 2 people gave an 8, and 3 people gave a 5. ``` **Response:** ``` Your NPS score is 60. This falls into the "Good" classification. Based on your 20 total responses, here is your breakdown: - **Score**: 60 - **Tier**: Good - **Sample Size**: 20 - **Margin of Error**: 15.8% ``` **Prompt:** ``` What is the benchmark for the Retail industry? ``` **Response:** ``` The standard NPS benchmark for the Retail industry is **30**. ``` **Prompt:** ``` Compare an NPS of 45 in the Technology sector to the industry standard. ``` **Response:** ``` Your NPS of 45 is **15 points above** the Technology industry benchmark of 30. ``` ## Capabilities ### Calculate Net Promoter Score Turn raw survey numbers into a single loyalty metric. ### Assign performance tiers See if your score falls into categories like Good or Excellent. ### Determine margin of error Get the statistical reliability of your current survey data. ### Fetch industry benchmarks Pull standard targets for different business sectors. ### Compare brand performance See how your specific score stacks up against the industry average. ## Use Cases ### Analyzing a new retail survey A retail brand just finished a survey with 200 responses. The manager asks the agent to calculate their NPS and tell them if they're beating the retail average. ### Checking startup score validity A tech startup has a score of 35 and wants to know if that's okay. The user asks the agent to classify their current score and find the margin of error. ### Creating a marketing slide deck A marketing lead needs a slide for a meeting. They ask the agent to compare their 45 score against the technology benchmark. ### Tracking feature launch success A product team wants to see if their new feature improved loyalty. They ask the agent to get the benchmark for their industry and compare their new score. ## Benefits - Stop manual math: Use calculate_nps to get your score and margin of error instantly without using a calculator. - Contextualize your data: Use get_industry_benchmark to see if your 40 score is actually good for your specific niche. - Instant tiering: Get immediate classifications like Excellent or Critical so you can prioritize fixes. - Data-backed reporting: Use compare_performance to show stakeholders exactly where you sit relative to the competition. - Better sample trust: The margin of error helps you know if you need more survey responses before making big decisions. ## How It Works The bottom line is you get a professional grade loyalty analysis without having to do the math yourself. 1. Provide your agent with the raw survey counts or response data. 2. The agent uses the Connector to calculate the score and statistical validity. 3. You get a clear breakdown of your NPS, performance tier, and industry comparison. ## Frequently Asked Questions **What does the NPS Score Calculator do for my business?** It turns your raw customer feedback into a standard Net Promoter Score. It also tells you if your score is good, average, or poor compared to others in your industry. **How does the NPS Score Calculator help with survey data?** It takes your raw counts of survey responses and calculates the NPS and the statistical margin of error. This helps you know if your survey results are actually reliable. **Can I use the NPS Score Calculator to see how I compare to competitors?** Yes. You can pull industry-specific benchmarks and use the comparison tool to see exactly how many points you are above or below the standard. **Is the NPS Score Calculator good for marketing reports?** It's perfect for reports. It provides clear performance tiers like Excellent or Critical, which makes it much easier to explain your results to stakeholders. **What industries can I get benchmarks for with the NPS Score Calculator?** It supports several major sectors, including Retail and Technology. You can check these to see how your brand measures up against the norm. **How do I calculate my NPS score?** Use the `calculate_nps` tool by providing a JSON object where keys are scores (0-10) and values are the number of responses for each score. **What industries are supported for benchmarking?** The server includes hardcoded benchmarks for Technology, Retail, Hospitality, Finance, and Healthcare. **Does the tool provide statistical confidence?** Yes, the `calculate_nps` tool automatically computes the statistical margin of error based on your sample size.