Metrik.world
Customer satisfaction
An indicator of the degree of customer satisfaction with products, services or the brand experience.
It measures how customers rate their experience, often immediately after interacting with the organisation.
alternative names
- customer satisfaction
- CSAT
- voice of customers (VoC)
units
- Score or % (ratio)
Additions, clarifications, extended definition
Customer satisfaction is one of the most important metrics for evaluating the communication effect and the impact of communication activities.
It belongs to the field of external communication but also extends into customer experience, corporate reputation and marketing communication.
It tracks the consequences of communication and customer experience – i.e. how the audience perceives and evaluates it. Over the long term, it shows how communication contributes to trust, loyalty and brand reputation.
The metric is used across touchpoints, including call centres, email communication, websites, apps or PR activities.
Interpretation
The level of customer satisfaction is a key signal of whether communication and services meet customer expectations.
High satisfaction supports trust, retention and positive word-of-mouth, while low satisfaction often precedes reputation crises.
Regular measurement makes it possible to:
- identify weak points in communication and interaction with customers,
- track the development of reputation and customer relationships over time,
- link communication data to business results (e.g. revenue, NPS, reviews).
Watch out: limits and risks of distortion
- Have a clear purpose for measurement. It differs after a campaign versus in customer care.
- Do not overrate the average score – track the spread and sentiment of responses.
- When evaluating, combine CSAT + NPS + open-ended responses – a numerical score without context is often misleading.
- Beware of survey fatigue – choose shorter, targeted questions, ideally in a natural context (e.g. after a purchase or interaction).
Where and how to measure
Combined methods:
-
Most commonly questionnaire research (survey), supplemented with analysis of open-ended responses or sentiment analysis.
-
It can be one-off (post-campaign) or continuous (a VoC programme).
Quantitative methods:
-
Customer satisfaction score (CSAT) – the most common way of measuring satisfaction with a brand; typical question: "How satisfied were you with [the product/service/brand]?" (scale 1–5 or 1–10)
-
Net promoter score (NPS) – measures customers' willingness to recommend the brand. Typical question: "Would you recommend us to your friends?"
-
Customer effort score (CES) – measures how easy it was for the customer to achieve their goal (e.g. resolve a problem). Typical question: "How easy was it to resolve your request?"
Qualitative methods:
- Open-ended responses in forms – text analysis – tracks language, emotions and themes in free-form comments.
- Sentiment analysis – analysis of content from reviews, social media or emails.
- Focus groups / customer interviews – reveal motivations and barriers to satisfaction.
Standardised models:
- ACSI (American Customer Satisfaction Index) and the European version ECSI (European Customer Satisfaction Index) – national customer satisfaction indices, standardised benchmarks by industry.
Example from practice
A large financial institution wanted to find out how customers perceive its communication and their overall experience with its products and services. It therefore introduced a long-term "Voice of Customer (VoC)" programme combining CSAT and NPS measurement with regular analysis of open-ended responses and a tool for continuous monitoring of customer sentiment.
The programme was built on a simple principle: "collect–analyse–act". Every month the organisation collected feedback after key interactions – insurance, client zone, telephone support, communication campaigns – and supplemented it with short pulse surveys focused on trust, clarity and perception of company values.
The result showed that after six months the average CSAT score increased by 12 points, the share of "very satisfied" clients grew by a third, and open-ended responses contained 45% more mentions of positive communication and trust.
At the same time, the programme was linked to internal communication – managers received regular "VoC reports" and shared the most frequent customer comments with their teams. This led to faster adjustments of processes and of the way the company communicates with clients. Systematic Voice of Customer measurement helped the company turn data into concrete actions – improving how it communicates with and responds to customers. The metric was thus not just a "reporting number" but a tool for building trust and long-term brand reputation.



