Free Tool · No Signup Required

Free CES Calculator

Calculate your Customer Effort Score and understand how easy (or hard) you're making it for customers to get help. Benchmark against 8 industries.

What is Customer Effort Score?

Customer Effort Score (CES) measures how much effort a customer has to put in to get their problem solved. Introduced by Matthew Dixon, Nick Toman, and Rick DeLisi in their influential book The Effortless Experience, CES is based on a counterintuitive finding: reducing customer effort is more important than delighting customers.

The standard CES question asks: "On a scale of 1-7, how easy was it to get your issue resolved?" where 1 = Very Difficult and 7 = Very Easy. The simplicity of the question means higher response rates and more actionable data.

Survey Responses

"The company made it easy for me to handle my issue" — enter how many respondents chose each rating.

Why CES Matters More Than You Think

Research from the Corporate Executive Board (now Gartner) and Harvard Business Review found striking results:

  • 96% of customers with high-effort experiences become disloyal (vs. 9% with low effort)
  • 81% of customers who had a hard time getting help say they'll spread negative word-of-mouth
  • Reducing effort is 4× more predictive of loyalty than customer satisfaction scores
  • Companies that focus on effort reduction see 40% lower churn rates

CES Benchmarks by Industry

IndustryAverage CES (1-7)Top Performers
SaaS / Software5.26.0+
E-commerce5.56.3+
Financial Services4.85.8+
Healthcare4.55.5+
Telecommunications4.05.0+
Insurance4.35.3+
Retail5.36.2+
Travel & Hospitality5.05.8+

The 5 Biggest Sources of Customer Effort

  1. Having to contact multiple times — 56% of customers report needing to re-explain their issue. First-contact resolution is the #1 effort reducer.
  2. Channel switching — Being told "please call us" when they're already chatting online. Let customers resolve issues in their preferred channel.
  3. Repeating information — "What's your account number? What's the issue?" every time they get transferred. Context must follow the customer.
  4. Waiting — Long hold times, slow email responses, or "we'll get back to you in 24-48 hours." AI chatbots eliminate wait time entirely for common questions.
  5. Self-service failure — When the help center doesn't have the answer, or the search doesn't find the right article, customers are forced to contact support anyway.

How to Reduce Customer Effort

  • Implement AI for instant answersGetGenius resolves common questions instantly, 24/7, eliminating wait time for the most frequent queries.
  • Build a comprehensive knowledge base — Give customers the ability to self-serve. When GetGenius detects a knowledge gap, it flags it so you can fill it.
  • Enable first-contact resolution — Give agents (and AI) the authority and information to resolve issues without escalation.
  • Collect feedback automaticallyGetGenius asks for feedback after every conversation, so you can track effort trends in real-time.

CES vs CSAT vs NPS: Which Should You Use?

MetricBest Predictor OfUse When
CESRepurchase intent & churn preventionAfter support interactions
CSATInteraction qualityAfter any customer touchpoint
NPSOverall loyalty & referralsQuarterly or after milestones

Best practice: Use CES to find and fix friction, CSAT to monitor quality, and NPS for the big-picture loyalty trend. All three calculators are free — try them together.

This tool is built by GetGenius — the AI-powered customer support platform.

How It Works

1

Enter survey responses

Input the number of responses for each effort level on the 1-7 scale (Very Low Effort to Very High Effort).

2

Get your CES score

See your average Customer Effort Score calculated instantly with percentage breakdown.

3

Benchmark & act

Compare against industry averages and get specific tips to reduce customer effort.

Why Use This Tool?

Instant CES calculation on the standard 1-7 scale
Visual breakdown of effort distribution
Industry benchmarks and interpretation guide
Actionable improvement recommendations
Understand the relationship between effort, loyalty, and churn
No signup required — completely free

Why Teams Choose GetGenius

🤖

AI That Learns Your Business

Train on your website, docs, and FAQs — your AI assistant knows your product inside out.

📊

Track What Matters

Built-in analytics, customer feedback collection, and knowledge gap detection.

Deploy in 5 Minutes

No code required. Paste one script tag and your AI assistant is live.

💰

AI Included in Every Plan

No per-resolution fees, no per-seat charges. Flat pricing from $19/mo.

Try Our Other Tools

Frequently Asked Questions

What is Customer Effort Score (CES)?
CES measures how easy it is for customers to get their issue resolved. Developed by the Corporate Executive Board (now Gartner), it asks: "How easy was it to get your issue resolved?" on a 1-7 scale. Research shows that reducing effort is the strongest predictor of customer loyalty — even more than exceeding expectations.
What is a good CES score?
On a 1-7 scale (where 1 = Very High Effort, 7 = Very Low Effort), 5.0 or above is considered good. Top-performing companies score 6.0+. Any score below 4.0 indicates significant friction in your support process that needs immediate attention.
How is CES different from CSAT and NPS?
CES measures ease of resolution — did the customer have to struggle? CSAT measures satisfaction — was the customer happy? NPS measures loyalty — would they recommend you? CES is the best predictor of repeat purchases and reduced churn.
Why does reducing effort matter more than delighting customers?
Harvard Business Review research found that 96% of customers who had high-effort experiences became disloyal, compared to only 9% with low-effort experiences. Trying to "delight" customers has diminishing returns, but reducing effort directly prevents churn. Fix friction first, then worry about exceeding expectations.
When should I measure CES?
Measure CES immediately after a support interaction — not hours or days later. The question should be: "How easy was it to get your issue resolved?" triggered right after ticket closure or chat completion. AI chatbots can collect this automatically after every conversation.