Voice of the customer

Every customer interaction, from support tickets to reviews, carries a signal. Voice of the customer (VoC) helps B2B teams capture and make sense of those signals to convert feedback from raw data into real operational improvements.

What is voice of the customer?

VoC is the practice of collecting and summarizing customer feedback, needs and preferences, and pain points across your organization's touchpoints and interactions. The goal is to convert this information into customer insights you can use to identify recurring issues and improve the overall customer experience (CX).

The VoC process pulls in data from a variety of inputs, such as:

  • Customer support conversations: Tracking the problems customers consistently struggle with is one of the most direct ways to surface friction at scale.
  • Product usage data and website analytics: Infer actionable insights by looking at what customers say versus what they actually do. Plus, it doesn’t come with the overhead of one-on-one conversations.
  • Customer reviews: Reviews are a chance for customers to air valuable, candid opinions they might be hesitant to share with you directly.
  • Social media monitoring: Social media activity gives you a window into unguarded public customer sentiment about your brand.

Why is voice of the customer analysis important?

B2B teams use VoC analysis to:

  • Improve customer experience: Surfacing customer needs across each stage of their journey is the only way to truly know what you’re up against. Reduce customer churn and strengthen retention by closing the loop with customers on feedback they provided, showing them you value and act on their input. You can also take steps to build brand loyalty through tailored product development.
  • Spot recurring issues: When the same complaints turn up time and again, they become signals. Collecting VoC data helps teams home in on and address these signals so recurring problems don’t quietly compound.
  • Bolster customer support quality: B2B feedback often reaches through multiple teams and tools across different conversations and touchpoints. With a shared view of the bigger picture, support teams can replace constant firefighting with proactive feedback analysis.

How to collect and use voice of the customer data

So, how can businesses capture the VoC and put the resulting data to work? The key is systematically rounding up feedback and behavioral signals to create a roadmap of VoC goals, like reducing churn or improving support quality.

Here are some of the most useful ways to gather and follow up on VoC data:

  • Feedback forms: Feedback forms compile information about what’s working as well as about complaints and dislikes. Some surveys and questionnaire interviews focus on qualitative responses to tease out open-ended feedback. Others use quantitative questions to track metrics like Net Promoter Score and customer satisfaction score to benchmark progress.
  • Focus groups: Moderated group discussions give interviewers a chance to follow up in real time, unraveling the reasoning behind customer sentiment that a survey would likely miss.
  • Quarterly business reviews (QBRs): QBRs with key accounts give customers a dedicated space to air unmet expectations. Because QBRs have a regular cadence, they come with a built-in follow-up mechanism — the next QBR — making closing the loop an integrated part of the process.
  • Customer feedback

    Understand what customer feedback is, why it matters, and how to use it to identify recurring issues and improve the customer experience.

  • Sentiment analysis

    Learn what sentiment analysis is, how it works, and how organizations use it to calibrate support operations and improve the customer experience.

  • Customer satisfaction survey

    Learn what a customer satisfaction survey is, the core survey types teams use to track account health, and how feedback drives retention in B2B.

  • What is NPS?

    Learn why Net Promoter Score is a key customer experience metric. Explore what NPS is, how it works, and why B2B teams use it to improve retention.

  • B2B sales intelligence

    Learn what B2B sales intelligence is, the types of data it includes, common use cases, and how it helps teams improve customer operations.

  • Customer journey map

    Learn what a customer journey map is and the stages it includes. Create your own to uncover pain points and improve customer experience.

  • Customer experience management

    Learn what customer experience management is, and best practices for creating consistently high-quality experiences across customer lifecycle touchpoints.

  • Service level indicators

    Learn what service level indicators (SLIs) are, how they connect to SLOs and SLAs, and examples of SLIs that ground customer service quality in hard data.