The Death of NPS: Transforming Feedback with AI

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27 November 2024

The Death of NPS: How AI Can Transform Customer Feedback into Actionable Insights

Pedro Candelas
by Pedro Candelas Reading time: 5 mins

For years, the Net Promoter Score (NPS) has been the go-to metric for measuring customer loyalty. Its simplicity is its strength: ask one question, subtract detractors from promoters, and present a single number. Executives favor its clarity, and teams often rally around it as a success barometer.

However, over time, NPS has devolved into something less impactful—a vanity metric. It’s celebrated when scores are high, hidden when they’re not, and often fails to answer the critical question: Why did we get this score? Without that “why,” companies are unable to take meaningful action.

The good news is that by combining the simplicity of NPS with the analytical power of Artificial Intelligence (AI), organizations can unlock its potential as a driver of both customer experience improvement and business growth.

Why NPS is Losing Credibility

Originally intended as a bridge between sentiment and action, NPS has become a flawed yardstick for many organizations. Here’s why:

1. Cherry-Picked Data

When NPS scores are high, they’re often celebrated in public forums like investor updates or customer-facing materials. Conversely, when scores dip, they’re quietly dismissed as anomalies. This selective reporting reduces NPS to a public relations tool rather than a meaningful measure of performance.

As Harvard Business Review highlights, organizations frequently fail to investigate the drivers behind their scores. This lack of depth leaves teams unable to replicate success or address recurring challenges​

2. Lack of Action on Feedback

Surveys generate vast amounts of feedback, but companies rarely act on it in a meaningful, systemic way. Gartner predicts that over 75% of organizations will fail to link their customer experience metrics, like NPS, to real business outcomes such as revenue and retention​

At Valuize Consulting, we’ve witnessed this disconnect firsthand in our engagements with clients. Feedback often languishes in spreadsheets, never making its way into operational or strategic decision-making processes. As operators, we’ve experienced the frustration of seeing actionable customer insights lost to inefficiency or inaction.

3. Narrow Focus

While NPS offers a snapshot of customer sentiment, it oversimplifies the complexities of customer experiences. A single number cannot capture the full scope of customer loyalty or satisfaction. This oversimplification often masks underlying issues, such as onboarding challenges, feature gaps, or inconsistent service quality.

4. Survey Fatigue

Customers increasingly see NPS surveys as transactional rather than transformational. They participate but rarely see their feedback lead to tangible improvements. This erodes trust and discourages future engagement, turning NPS into a checkbox exercise rather than a meaningful conversation with customers.

The Business Case: Linking NPS to NRR and Value Outcomes

When reimagined with AI, NPS can transcend its limitations and drive real business impact. Specifically, it can play a critical role in improving Net Revenue Retention (NRR) and uncovering customer value outcomes.

Impact on NRR

NRR measures the ability to grow revenue from your existing customer base by retaining and expanding their accounts. By applying AI-driven insights to NPS data, companies can:

  • Identify Churn Risks: AI can analyze detractor feedback to pinpoint at-risk accounts and address their concerns proactively.
  • Drive Upsell Opportunities: Promoters often signal satisfaction with existing products or services, making them prime candidates for cross-sells or upsells.

Organizations that close the loop on NPS feedback can improve retention and expansion strategies, directly boosting NRR.

Uncovering Value Outcomes

Modern customers don’t just want products—they want solutions that deliver measurable value. By analyzing NPS data with AI, companies can better understand the outcomes customers are seeking, such as:

  • Increased efficiency.
  • Cost savings.
  • Enhanced user experiences.

This feedback enables businesses to refine their offerings and communicate value more effectively, creating deeper alignment with customer goals.

A New Era: From Vanity to Value with AI

Rather than abandoning NPS, organizations can leverage AI to transform it into an actionable tool for customer-centric growth. Here’s how:

1. Uncover Common Themes

AI-powered tools can analyze open-text feedback from NPS surveys, identifying recurring themes and actionable insights. This categorization helps organizations pinpoint areas for improvement, such as product features, pricing, or service delivery.

2. Perform Root Cause Analysis

AI can connect NPS feedback to operational data, such as support ticket trends or onboarding completion rates, to uncover root causes of customer dissatisfaction. This enables teams to solve systemic issues rather than addressing symptoms.

3. Personalize Engagement

Tailored follow-ups based on NPS insights can deepen customer relationships:

  • Promoters can be nurtured as advocates.
  • Passives can receive targeted campaigns to address hesitations.
  • Detractors can be engaged in one-on-one conversations to rebuild trust.

4. Predict Future Outcomes

AI can predict trends in customer behavior by analyzing historical NPS data. For example, it can identify early indicators of churn or pinpoint which initiatives will have the greatest impact on promoter scores.

The Way Forward

NPS doesn’t need to die—it needs to evolve. By combining its simplicity with AI’s analytical power, organizations can unlock its potential as a driver of customer loyalty, revenue growth, and operational excellence.

To succeed in this transformation, organizations must:

  1. Focus on Insights, Not Scores: Prioritize actionable feedback over the metric itself.
  2. Foster Transparency: Share feedback—both positive and negative—internally and externally.
  3. Commit to Accountability: Implement systems that ensure customer insights lead to real change.

At Valuize, we specialize in helping organizations reimagine their customer feedback strategies. From leveraging AI to integrating NPS with business metrics like NRR, we empower companies to turn static scores into actionable insights that drive value.

Let us help you transform your NPS strategy into a catalyst for sustainable growth.

Pedro Candelas
Pedro Candelas

Prior to launching his CS leadership career, Pedro was an industrial engineer, who spent over 10 years working for the Aerospace industry in multiple customer service and support roles. Pedro then moved into the tech world and has held multiple Customer Success Strategy and Operations roles in companies like Venzee, Netskope and Elastic, before joining Valuize as a Customer Success Strategy Consultant.