Understanding and acting on customer feedback is crucial for success. Voice of the Customer (VoC) programs are designed to capture customer insights and translate them into actionable strategies. However, the effectiveness of these programs hinges on the ability to measure their impact accurately. Identifying and tracking the right metrics and Key Performance Indicators (KPIs) is essential for VoC teams to demonstrate value, drive improvements, and align efforts with business objectives.
This blog post explores the VoC metrics that matter, guiding you on how to effectively track and measure customer feedback.
Contents
Understanding VoC Metrics
VoC metrics are quantitative measures used to evaluate customer feedback and the effectiveness of customer experience initiatives. These metrics provide insights into customer satisfaction, loyalty, and overall experience, enabling businesses to make data-driven decisions.
Before we start delving into these metrics, it’s important to acknowledge that these metrics should always be tied to the overall company objectives to show the full impact of VoC efforts.
Key VoC Metrics to Track
1. Net Promoter Score (NPS)
What is NPS? Net Promoter Score (NPS) is a widely used metric that measures customer loyalty. It asks 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): Loyal customers who are likely to recommend your business.
- Passives (7-8): Satisfied but unenthusiastic customers.
- Detractors (0-6): Unhappy customers who are unlikely to recommend your business.
NPS score is calculated by using the following formula:
NPS = % promoters – % detractors
Why it matters: NPS is a powerful indicator of customer loyalty and potential business growth. A high NPS suggests strong customer satisfaction and advocacy, while a low NPS highlights areas that need improvement.
Learn more about how to achieve a good NPS
2. Customer Satisfaction (CSAT)
What is CSAT? Customer Satisfaction (CSAT) measures the level of satisfaction customers have with a specific interaction, product, or service. It typically involves asking customers to rate their satisfaction on a scale (e.g., 1-5 or 1-10). Customers who have rated 4 & 5 or 9 & 10 are positive responders. Then you apply this formula:
[# of positive responses] / [Total responses] * 100 = Your CSAT score
Why it matters: CSAT provides immediate feedback on specific aspects of the customer experience. High CSAT scores indicate positive experiences, while low scores pinpoint areas that require attention.
3. Customer Effort Score (CES)
What is CES? Customer Effort Score (CES) measures how easy it is for customers to interact with your business, resolve issues, or achieve their goals.
To calculate your CES, ask customers how easy it was to solve their query or complete the task on a ratings scale (10-, 7-, or 5-point scales work best). To calculate your CES score use the following formula:
CES = (Total sum of responses) / (Number of responses)
Why it matters: CES is a strong predictor of customer loyalty. Customers who find it easy to interact with your business are more likely to return and recommend your brand. Conversely, high-effort experiences can lead to dissatisfaction and churn.
4. Churn Rate
What is Churn Rate? Churn Rate measures the percentage of customers who stop doing business with your company over a specific period. It is calculated by dividing the number of customers lost by the total number of customers at the start of the period.
Why it matters: Churn Rate is a critical indicator of customer retention and business health. A high churn rate signals underlying issues in the customer experience that need to be addressed to retain customers and reduce attrition.
Learn more about reducing churn
5. Customer Lifetime Value (CLV)
What is CLV? Customer Lifetime Value (CLV) estimates the total revenue a business can expect from a single customer over their entire relationship. It considers factors like purchase frequency, average order value, and customer lifespan.
Why it matters: CLV helps businesses understand the long-term value of their customers. By focusing on increasing CLV, companies can prioritize efforts that enhance customer loyalty and maximize revenue.
Learn more about predicting customer lifetime value
6. First Contact Resolution (FCR)
What is FCR? First Contact Resolution (FCR) measures the percentage of customer issues resolved during the first interaction with customer support.
Why it matters: High FCR rates indicate efficient and effective customer support. Resolving issues promptly reduces customer effort and boosts satisfaction, leading to better overall experiences.
7. Customer Retention Rate
What is Customer Retention Rate? Customer Retention Rate measures the percentage of customers who continue to do business with your company over a specific period. It is calculated by subtracting the number of new customers acquired during the period from the total number of customers at the end of the period, then dividing by the number of customers at the start.
Why it matters: A high retention rate indicates strong customer loyalty and satisfaction. Retaining customers is often more cost-effective than acquiring new ones, making this metric crucial for sustainable growth.
Learn more about calculating customer retention rate
Tracking and Measuring VoC Metrics
To effectively track and measure these VoC metrics, follow these best practices:
1. Implement Robust Feedback Systems
Establish comprehensive feedback systems that capture customer insights across various touchpoints, including surveys, social media, customer service interactions, and product reviews. Ensure that feedback collection methods are user-friendly and accessible to encourage participation.
2. Leverage Advanced Analytics Tools
Use advanced analytics tools to process and analyze customer feedback data. Tools like text analytics, sentiment analysis, and predictive analytics can uncover trends, patterns, and insights that inform strategic decisions. Here’s an example of how an AI-driven tool like Idiomatic does customer feedback analysis. Within minutes, you can turn your customer feedback data into voice of customer:
Try Idiomatic for free with your own data
3. Regularly Monitor and Update Metrics
Regularly monitor VoC metrics to track progress and identify areas for improvement. Set up automated reporting systems that provide real-time updates and actionable insights. Regularly review and update your metrics to ensure they remain relevant and aligned with business goals.
4. Involve Stakeholders and Teams
Engage stakeholders and teams across the organization in VoC initiatives. Share insights and findings with relevant departments, including product development, engineering, marketing, sales, and customer support. Collaborative efforts ensure that VoC data drives meaningful actions and improvements.
5. Set Clear Goals and KPIs
Establish clear goals and Key Performance Indicators (KPIs) for your VoC program. Define what success looks like and set measurable targets for each metric. This approach ensures that your VoC initiatives are aligned with business objectives and deliver tangible results.
6. Foster a Customer-Centric Culture
Cultivate a customer-centric culture within your organization where every employee values and acts on customer feedback. Encourage continuous learning and improvement, and recognize and reward teams that contribute to enhancing the customer experience.
Enhancing VoC Metrics with Artificial Intelligence (AI)
Artificial Intelligence is revolutionizing how businesses collect, analyze, and act on customer feedback. Here’re a couple ways how AI can enhance voice of customer:
1- Automating the analysis of large volumes of customer feedback, uncovering deep insights and patterns.
Try Idiomatic for free with your own data
2- Analyzing unstructured text data, such as open-ended survey responses, social media posts, and customer reviews. By understanding the context and sentiment behind customer feedback, businesses can gain a comprehensive view of customer emotions and opinions. Here’s an example of how it’s done:
Try Idiomatic for free with your own data
Conclusion
Effective VoC programs rely on tracking and measuring the right metrics to capture and understand customer feedback. Like we said before, it’s crucial to tie these metrics to the overall company objectives to show the full impact of VoC efforts.
One way to do this if you’re using a VoC analytics tool like Idiomatic is to set custom metrics for your company on your VoC dashboard. With Idiomatic, you can track exactly which customer issues affect those custom metrics negatively or positively. Once you see these issues, you’ll know where to focus your company’s efforts in order to reach the company’s objectives.
Request a demo to learn more about custom metrics on your VoC dashboard
