Your customers are not leaving because your product is bad - they are leaving because getting help is too hard.
Customer Effort Score (CES) is a service metric that quantifies how easy or difficult customers find it to resolve an issue, measured on a 1-5 or 1-7 Likert scale. In 2026, with 96% of high-effort customers becoming disloyal according to Gartner, CES has become one of the most actionable indicators of support quality.
CES measures ease of resolution, not satisfaction or sentiment - scored on a 1-7 Likert scale
Low-effort experiences drive 94% repurchase rates and 88% increase spending, per Gartner
CES below 70% signals improvement needed; above 90% indicates strong support operations
CES predicts purchasing behavior more accurately than CSAT or NPS
Last updated: March 2026
Most support teams obsess over satisfaction scores while ignoring the friction that actually drives churn. CES flips the script. Instead of asking "How happy are you?" it asks "How easy was that?" The difference matters. Gartner found that 96% of customers who experience high effort become disloyal, compared to just 9% of low-effort customers. This guide covers what CES is, what good looks like, and how to reduce effort across every support interaction.
What Is Customer Effort Score and How Is It Calculated?
Customer Effort Score measures how much work a customer has to do to get their issue resolved. It is calculated by asking a single question - typically "How easy was it to handle your issue?" - on a Likert scale, then averaging responses or calculating the percentage of positive ratings.
The most common approach uses a 1-7 scale, where 1 means "very difficult" and 7 means "very easy." To calculate CES as a percentage, divide the number of positive responses (typically 5, 6, or 7) by total responses, then multiply by 100.
For example, if 340 out of 400 respondents rate their experience a 5 or higher, your CES is 85%. Some teams use a simpler 1-5 scale, but the principle stays the same: higher scores mean lower effort.
Customer Effort Score (CES): A post-interaction metric that measures how easy or difficult a customer found it to resolve their issue, typically on a 1-7 Likert scale from "very difficult" to "very easy."
Lorikeet is an AI customer support platform that resolves tickets end-to-end - processing refunds, updating accounts, and handling complex multi-step workflows across chat, email, and voice. By handling complex workflows autonomously, Lorikeet reduces the effort customers spend reaching a resolution, directly improving CES.
What Is a Good Customer Effort Score in 2026?
A good Customer Effort Score sits above 80% on a percentage scale, meaning 4 out of 5 customers found it easy to get help. According to Gartner benchmarks, CES below 70% signals a need for improvement, while scores above 90% indicate strong, low-effort support operations.
Context matters significantly. Industries with straightforward transactions like e-commerce tend to score higher (82-90%), while complex environments like B2B enterprise support often score lower (65-75%). A CES of 75% might be excellent for a technical SaaS platform but mediocre for a retail brand.
Rather than chasing a universal number, benchmark against your own historical performance and your industry peers. The trend over time matters more than any single reading.
How Does CES Compare to CSAT and NPS?
CES measures ease of experience, CSAT measures satisfaction with a specific interaction, and NPS measures overall brand loyalty. CES is the strongest predictor of repeat purchase behavior because it captures the friction that actually drives customers away.
As the Qualtrics XM Institute puts it: "NPS is a relationship metric. It measures loyalty attitudes, not customer experiences." CES fills that gap by focusing on what happened, not how someone feels about your brand in general.
The smartest support teams track all 3 metrics together. Use CES to identify friction points, CSAT to measure interaction quality, and NPS to track long-term loyalty trends. Each answers a different question.
What Causes High Customer Effort?
The biggest drivers of high customer effort are channel switching, repeat contacts, transfers between agents, and having to re-explain issues. Gartner's research shows that 96% of customers who experience these friction points become disloyal - making effort reduction the single highest-leverage retention strategy.
Repeat contacts are especially damaging. When a customer reaches out 2 or 3 times for the same issue, effort compounds and frustration escalates. This also inflates your cost per ticket while destroying loyalty.
Other common causes include confusing self-service options, slow escalation paths, and agents who lack the context or authority to resolve issues on first contact. Each handoff and each delay adds effort.
What Results Can You Expect from Reducing Customer Effort?
Reducing customer effort produces measurable improvements in loyalty, spending, and support costs. The gains compound because low-effort customers stay longer, buy more, and generate fewer repeat tickets.
According to Gartner, 94% of low-effort customers repurchase compared to just 4% of high-effort customers. Low-effort customers are also 88% more likely to increase their spending. McKinsey found that advanced AI deployments reduce service interactions by 40-50%, directly cutting the number of touchpoints customers need to reach resolution. Teams deploying AI agents that resolve issues end-to-end see first response times drop while repeat contact rates fall by 30-50%.
Teams using AI-native support cut repeat contacts by 30-50% and reduce total customer effort. See how Lorikeet resolves tickets end-to-end.
How Can AI Reduce Customer Effort Score?
AI reduces customer effort by resolving issues faster, eliminating transfers, and providing instant responses across channels. But not all AI reduces effort equally. Basic chatbots that deflect without resolving often increase effort because customers end up repeating themselves to a human agent.
Lorikeet's Resolution Loop takes a different approach - resolving complex workflows autonomously so customers never need to follow up, switch channels, or re-explain their problem. When AI can actually process a refund or update an account mid-conversation, the effort drops to near zero.
If your CSAT is dropping, high effort is likely a contributing factor. AI that resolves rather than deflects addresses both metrics simultaneously.
Lorikeet's Take on Customer Effort Score
At Lorikeet, we believe effort reduction should be the primary design principle for every support operation. Most CX vendors tell you to measure CES and follow up with detractors. That helps at the margins. The real lever is eliminating the effort in the first place - no transfers, no callbacks, no "check our help center" deflections.
The data supports this approach. Gartner shows 88% of low-effort customers increase their spending, making effort reduction a revenue strategy, not just a support optimization. Lorikeet is built around this principle: give AI agents the ability to take action in backend systems so customers get resolution in a single interaction. If effort reduction matters to your team, see how Lorikeet drives it through resolution.
Key Takeaways
CES measures ease of resolution on a Likert scale - aim for above 80%, with 90%+ being strong per Gartner
96% of high-effort customers become disloyal vs just 9% of low-effort customers
Low-effort customers repurchase at 94% and 88% increase their spending
Track CES alongside CSAT and NPS - each metric answers a different question about customer experience
Advanced AI reduces service interactions by 40-50% (McKinsey), directly cutting effort
Frequently Asked Questions
What is Customer Effort Score?
Customer Effort Score is a support metric that measures how easy or difficult customers find it to resolve their issue. It is typically captured through a post-interaction survey using a 1-5 or 1-7 Likert scale, ranging from "very easy" to "very difficult." Higher scores indicate lower effort and better experiences.
What is a good Customer Effort Score?
A good Customer Effort Score is above 80% on a percentage scale. According to Gartner, scores below 70% need improvement while scores above 90% indicate strong performance. Benchmarks vary by industry - e-commerce scores higher (82-90%) than B2B enterprise support (65-75%) due to interaction complexity.
How do you calculate Customer Effort Score?
Calculate CES by dividing the number of positive survey responses (typically 5 or above on a 7-point scale) by the total number of responses, then multiplying by 100. For example, 340 positive responses out of 400 total gives you a CES of 85%.
What is the difference between CES and CSAT?
CES measures how easy it was for a customer to resolve their issue, while CSAT measures satisfaction with the interaction. CES is a stronger predictor of future purchasing behavior because it captures the friction that drives disloyalty, rather than a momentary satisfaction rating.
How does AI improve Customer Effort Score?
AI improves CES by resolving issues without transfers, reducing repeat contacts, and providing instant responses. McKinsey found advanced AI deployments cut service interactions by 40-50%. Platforms like Lorikeet resolve complex issues autonomously, eliminating the handoffs and delays that drive high effort.
Why is Customer Effort Score important?
CES is important because customer effort directly predicts loyalty and revenue. Gartner research shows 96% of high-effort customers become disloyal, while 94% of low-effort customers repurchase. Reducing effort is one of the most effective ways to improve retention and lifetime value.
When should you measure Customer Effort Score?
Measure CES immediately after a support interaction is resolved, while the experience is fresh. Send the survey within minutes of ticket closure. Avoid surveying during an ongoing interaction, as the customer has not yet experienced the full resolution process and cannot accurately rate total effort.
Customer effort is the hidden driver behind churn, repeat contacts, and rising support costs. Measuring CES gives you the data to fix it. Reducing it gives you the retention gains that CSAT alone cannot deliver. The teams pulling ahead in 2026 are not just tracking effort - they are engineering it out of every interaction.
Want to reduce customer effort at scale? Lorikeet resolves tickets end-to-end so your customers never have to try twice.
