CSAT
Term 20 of 80 · Topic
In one sentence
CSAT (Customer Satisfaction Score) is a metric that measures how satisfied a customer is with a specific interaction, product or service. It is calculated as the percentage of positive responses out of the total and ranges from 0 to 100.
Reviewed by Juan Manuel Garrido
Co-founder of VantegrateLinkedIn
CSAT (Customer Satisfaction Score) is a metric that measures how satisfied a customer was with a specific interaction: a purchase, a support ticket, a delivery or the use of a product. It is collected with a simple question ("How satisfied are you with...?") and a short scale, usually from 1 to 5.
Unlike other indicators, CSAT is transactional and short term: it captures sentiment at a specific moment, right after the contact. Its formula is straightforward: you divide the number of positive responses (the two highest options on the scale) by the total number of responses and multiply by 100, which gives a value from 0 to 100.
As an experience metric, CSAT is part of the service and customer success dashboards consolidated in analytics platforms such as Metrix, where it is cross-referenced with ticket volume, resolution times and account data to understand not just the number but the reason behind it.
CSAT was born in customer service teams as a quick way to know whether an interaction went well or badly. Its value lies in its immediacy: you ask as soon as the contact ends, while the experience is still fresh, and that is why it is one of the most widely used indicators for evaluating support, after-sales service and key moments in the customer journey.
How it is measured and calculated
The CSAT survey uses a single question with a scale, almost always from 1 to 5 (where 1 is "very dissatisfied" and 5 is "very satisfied"). The calculation groups the responses and counts the two top categories as "satisfied" (4 and 5). The formula is:
CSAT = (satisfied responses / total responses) x 100
If 150 of 200 completed surveys were a 4 or a 5, the CSAT is 75%. It is an easy number to communicate across the whole organization, and that simplicity explains why it is so widely adopted.
Best practices for implementing it
- Ask at the right moment: right after closing a ticket or delivering an order, not weeks later.
- One clear question: CSAT loses strength when it is mixed into long questionnaires that lower the response rate.
- Segment by channel and reason: the same 80% can hide an excellent WhatsApp channel and a terrible phone line.
- Add an optional open field: the free-text comment explains what is behind the number and is where actionable improvements show up.
- Watch the trend, not the single data point: what matters is whether CSAT rises or falls over time, not an isolated value.
Why it matters for the business
A falling CSAT usually signals operational friction (delays, errors, lack of follow-up) before it turns into churn or complaints. In Argentine service and consumer companies, where word of mouth and reputation carry weight, monitoring CSAT by team lets you spot in time which process is breaking down. For example, a distributor that measures CSAT at the close of each delivery may discover that dissatisfaction is concentrated in one specific delivery zone and fix the route or the carrier, not the whole operation.
CSAT, NPS and CES: how they differ
CSAT is often confused with other experience metrics. Each one answers a different question, and it pays to use them together rather than as substitutes for one another.
| Metric | What it measures | Time horizon | Typical question |
|---|---|---|---|
| CSAT | Satisfaction with a specific interaction | Short term, transactional | How satisfied are you with this service? |
| NPS | Loyalty and likelihood to recommend | Long term, relational | How likely are you to recommend us? |
| CES | Effort the customer needed to resolve an issue | Short term, per interaction | How much effort did it take to resolve your problem? |
CSAT is ideal for evaluating concrete moments, NPS for reading the underlying relationship and loyalty, and CES for detecting friction in specific processes. Many customer success teams combine all three to get a complete picture.
Common mistakes
The first is treating CSAT as absolute truth without looking at the response rate: if only 5% answer and they are the angriest customers or the biggest fans, the data is biased. The second is comparing your own CSAT with benchmarks from another industry without context, since the ranges vary a lot between sectors. The third is measuring without acting: CSAT only creates value if it triggers concrete improvement actions. Finally, putting it on a dashboard next to other operational KPIs keeps you from reading it in isolation and gives it the context it needs to be useful.
FAQs about CSAT
What is CSAT?
What is CSAT?
CSAT (Customer Satisfaction Score) is a metric that measures how satisfied a customer was with a specific interaction, such as a purchase, a support ticket or a delivery. It is collected with a short question and a 1 to 5 scale, and it is expressed as the percentage of positive responses out of the total.
How is CSAT calculated?
How is CSAT calculated?
CSAT is calculated by dividing the number of satisfied responses (the two highest options on the scale, for example 4 and 5 out of 5) by the total number of responses, and multiplying by 100. If 150 of 200 respondents answered 4 or 5, the CSAT is 75 percent. The result always ranges from 0 to 100.
What is the difference between CSAT and NPS?
What is the difference between CSAT and NPS?
CSAT measures satisfaction with a specific, short-term interaction, right after a contact. NPS measures loyalty and the likelihood of recommending the company, with a long-term, relational view. CSAT is used to evaluate concrete moments, while NPS reads the underlying bond with the brand. They are complementary, not substitutes.
What counts as a good CSAT?
What counts as a good CSAT?
There is no universal number because it depends heavily on the sector, but as a general reference a CSAT above 80 percent is usually considered solid and one below 70 percent is a warning sign. What matters most is not the isolated value but the trend over time and the comparison against your own history and against companies in the same industry.
When should you send the CSAT survey?
When should you send the CSAT survey?
You should send the CSAT survey immediately after the interaction you want to evaluate, while the experience is fresh in the customer's mind. For example, when you close a support ticket, confirm a delivery or complete a purchase. Waiting days or weeks lowers the response rate and distorts the data.
This number, updated on its own
Metrix connects your systems and lets you ask your data in plain language: the metric you just read, up to date, without waiting in the BI queue or rebuilding the spreadsheet every month.
Related terms
- Conversion RateConversion rate is the percentage of people who complete a desired action (a purchase, a sign-up, a lead) out of all visitors or contacts. It is calculated as conversions divided by the total, times one hundred, and it measures how efficient a channel or page is.
- Data GovernanceData governance is the framework of policies, roles and responsibilities that defines who can access a company's data, who maintains it and under what rules it is used. It treats data as an asset, with a clear owner for each domain.
- Data LakeA data lake is a central repository that stores data in its raw format and at any scale, without transforming it on the way in. It holds structured, semi-structured and unstructured data, and applies a schema only at the moment the data is read.
- Data QualityData quality is the degree to which an organization's data is fit for its intended use. It is measured through dimensions such as accuracy, completeness, consistency and timeliness: good data describes reality well, doesn't contradict itself and is up to date.
- Data WarehouseA data warehouse is a central repository that brings together data from multiple systems, already cleaned and structured, optimized for analytical queries and reporting. Unlike an operational database, it is designed to answer business questions about historical data.
- ETLETL (Extract, Transform, Load) is the process that extracts data from several sources, transforms it into a clean, consistent format and loads it into a central destination such as a data warehouse so it can be analyzed reliably.
Related questions
- What is forecast accuracy?in Forecast Accuracy
- What is GMROI?in GMROI (Gross Margin Return on Inventory Investment)
- What is inventory turnover?in Inventory Turnover
- What is predictive analytics?in Predictive Analytics
- What is real-time analytics?in Real-Time Analytics
- What is sell-out in sales?in Sell-out
Metrix
Ask your data in plain language and get the report instantly, without waiting in the BI team queue.
How Metrix solves itNow that you know what it is, see how it gets solved
Five AI products that work on top of the CRM you already use. They don't replace your system: they add the layer you do by hand today.





