Key Takeaways
- HubSpot's 2018 consumer survey found that 90% rated an immediate support response as important or very important
- In the same HubSpot study, 60% defined immediate as 10 minutes or less
- Zendesk reported in 2021 that 59% of customers considered a fast response a top priority, while 73% prioritized fast resolution
- Salesforce's 2024 survey found that 69% of service organizations tracked average response time
- A 2023 peer-reviewed study found a strong satisfaction lift when waits were shorter than expected
Customer support first response time statistics point to a simple tension. Customers want quick acknowledgment, but speed alone does not settle the issue. The best available research separates the first reply from the full resolution and shows why support teams should measure both.
This 2026 review uses vendor research from Zendesk, HubSpot, and Salesforce alongside peer-reviewed service research. The year attached to each figure is the year of the underlying study or dataset when that information is available. That distinction matters because a page updated in 2026 may cite an older survey.
Customer support first response time statistics at a glance
| Statistic | What it measures | Source year |
|---|---|---|
| 90% rated an immediate response as important or very important | Consumer expectation for a customer service question | 2018 |
| 60% defined immediate as 10 minutes or less | Consumer definition of an immediate response | 2018 |
| 59% said a fast response was a top priority | Relative importance of response speed | Reported 2021 |
| 73% said fast resolution was their top priority | Relative importance of resolution speed | Reported 2021 |
| 69% of service organizations tracked average response time | Adoption of response-time measurement | 2024 |
| 86% of service agents said customer expectations were rising | Pressure reported by service workers | 2024 |
| 82% of service professionals said expectations were higher than before | Current operating pressure | 2025 report |
| 46% of service representatives' time was spent working with customers | Available human service capacity | 2025 report |
Sources: HubSpot Annual State of Service Report 2022, Zendesk analysis published in 2021, Salesforce State of Service, Sixth Edition, and Salesforce State of Service, Seventh Edition.
What first response time measures
First response time, often shortened to FRT, is the elapsed time between a customer's initial message and the first qualifying reply from the support organization. The calculation is:
First response time = timestamp of first qualifying reply - timestamp of customer request
An acknowledgment from a person can qualify. An automated receipt may or may not qualify, depending on the reporting rule. Teams should document that choice because including instant automated receipts can make the metric look better without changing the customer's access to help.
First response time is not the same as average reply time, first contact resolution, average handle time, or total resolution time. The first response can arrive quickly while the case remains open for days. Zendesk's 2021 research makes this distinction visible: 59% of customers prioritized a fast response, but a larger 73% prioritized fast resolution.
How quickly do customers expect a response?
HubSpot's 2022 State of Service report cites a HubSpot Research consumer survey conducted in 2018. In that study, 90% of customers rated an immediate response as important or very important when they had a customer service question. Among the same respondents, 60% defined immediate as 10 minutes or less.
Those figures are still widely repeated, but they are not 2026 survey results. Their proper use is as a dated baseline for consumer expectations. They show that the demand for quick acknowledgment was already established by 2018.
Zendesk added a useful comparison in research published in 2021. It reported that 59% of customers considered a fast response a top priority, compared with 73% who placed fast resolution first. This is a warning against optimizing a dashboard at the customer's expense. A rapid reply that starts a long exchange may satisfy the FRT target while failing the more important job.
What current service research says about capacity
Salesforce's Sixth Edition State of Service report was based on a double-anonymous survey of more than 5,500 service professionals in 30 countries. Data collection ran from December 8, 2023, through January 22, 2024. Salesforce reported that 69% of service organizations tracked average response time. Customer satisfaction measures were more common at 80%, while first contact resolution was tracked by 51%.
The same 2024 research found that 86% of agents said customer expectations were getting higher. Salesforce's Seventh Edition report, published in 2025 and based on 6,500 service professionals, found that 82% agreed customer expectations were higher than they used to be.
The Seventh Edition also found that service representatives spent 46% of an average week working with customers. The other 54% went to administrative tasks, manual case notes, meetings, training, and other work. That split helps explain why adding an aggressive response target without changing workflows can fail. The queue is affected by the time agents can actually spend on customer work.
For teams that need more coverage without building a larger internal queue, Stealth Agents outlines its operating options on the services page and in its guide to customer support outsourcing services.
Zendesk benchmark evidence on faster replies
Zendesk published two useful benchmark findings at different points in time.
First, its 2021 analysis examined companies using Zendesk during the prior year. Nearly one-third improved resolution speed even though their ticket volumes rose by an average of 91% compared with 2019. For that group, resolution times fell by 53%. Companies that became more efficient added automations 67% faster, triggers 33% faster, and macros 10% faster than other companies in the benchmark.
These are not universal response-time averages. They are comparative findings from Zendesk customers that improved under unusually high volume. Their value is operational: workflow changes accompanied faster service.
Second, Zendesk published a 2026 analysis of more than 4.5 billion solved tickets. Among teams handling more than 100,000 tickets a year, customers using Zendesk AI Agents had first reply times nearly six times faster than non-AI peers. In the group handling 25,000 to 99,900 tickets, first replies were three times faster. Zendesk did not provide a universal duration in that analysis, so the result should stay expressed as a relative comparison.
The AI figures come from Zendesk's own customer base and product categories. They do not prove that any AI deployment will produce the same result. They do show that scale, automation, and reply speed can be studied together rather than treated as separate problems.
What peer-reviewed research adds
A 2023 study by Delphine Caruelle, Line Lervik-Olsen, and Anders Gustafsson in the Journal of Retailing tested how customers respond when a wait is shorter or longer than expected. Across three studies, waiting shorter than expected produced a substantial increase in satisfaction. Waiting slightly longer than expected produced a smaller decrease, while waits that were much longer than expected caused greater dissatisfaction.
The study concerned service encounters rather than support tickets alone, so it does not set a channel benchmark. It does support a better way to interpret FRT: customer expectations are part of the outcome. A promised two-hour reply delivered in 45 minutes may feel better than an unexplained 20-minute wait in a channel presented as immediate.
Field research on a live-chat contact center reached another practical conclusion. A 2022 Journal of Operations Management study found that pre-service waiting changed customer engagement during the conversation, while delays between agent messages consistently slowed customer responses. The effect was stronger later in the exchange. First response time therefore belongs beside in-conversation reply time, not in place of it.
Practical first response targets by channel
The authoritative studies above do not provide one current, cross-industry table of average durations. A responsible 2026 target should be an internal service-level decision, not a number presented as a universal fact.
| Channel | Starting target to test | Why the target needs local validation |
|---|---|---|
| Live chat | 10 minutes or less | Customers enter a synchronous channel and HubSpot's dated baseline defines immediate at this level |
| Social messaging | Within the stated staffed window | Platform norms and published business hours shape expectations |
| Email and web form | Same business day | Complexity and operating hours vary widely across teams |
| Phone callback | Within the promised callback window | Reliability against the promise matters as much as the raw duration |
These are planning targets, not reported industry averages. Teams should replace them with channel-specific targets after measuring their own demand, staffing, case mix, and customer satisfaction.
How to build a useful first response time dashboard
Start with the median and the 90th percentile. Averages can hide a long tail of customers who waited far longer than most. Report business-hours FRT and calendar-hours FRT separately if support is not staffed continuously.
Segment the metric by channel, priority, customer tier, language, and staffed shift. Do not blend a live chat queue with an email queue and treat the combined result as a meaningful customer experience benchmark.
Track these measures beside FRT:
- Total resolution time
- First contact resolution rate
- Customer satisfaction after the case closes
- Reopen rate
- Number of replies per resolution
- Share of first replies sent by automation
An automated acknowledgment should have its own field. This keeps the operational benefit of immediate confirmation without confusing it with a substantive first response.
The broader research library contains related customer support and workforce data for planning these measures.
Limits of the available statistics
There is no single, current, authoritative average first response time across every support channel and industry. Public figures often mix customer surveys, platform benchmarks, sales lead response, and vendor case studies. They also use different clocks. Some count all hours, some count business hours, and some pause the timer outside a service-level schedule.
Source year is another common problem. The 90% and 60% HubSpot statistics appear in a report published in 2022, but the underlying consumer survey was conducted in 2018. Salesforce's Sixth Edition report was published in 2024 and states that its survey ran from late 2023 into January 2024. Zendesk's 2026 AI benchmark is current to its publication, but it reports relative speed rather than absolute minutes.
The safest comparison is within one support operation over time, using a stable definition. External statistics are context, not a substitute for an internal baseline.
Customer support first response time statistics summary
Customer expectations for speed are clear. HubSpot's 2018 baseline found that 90% valued an immediate response and 60% defined immediate as 10 minutes or less. Zendesk's 2021 findings show why response and resolution need separate attention: 59% prioritized a fast response, while 73% prioritized fast resolution.
Service teams have responded by measuring speed. Salesforce found in 2024 that 69% tracked average response time, although only 51% tracked first contact resolution. More recent platform evidence suggests automation can shorten first replies at high ticket volumes, but those relative gains do not create a universal benchmark.
For 2026 planning, define what counts as a first response, publish channel-specific service levels, and compare the median and tail of the distribution with resolution and satisfaction. A fast acknowledgment is useful. A resolved problem is better.
Sources
- HubSpot, Annual State of Service Report 2022. Cites HubSpot Research Consumer Customer Support Survey, 2018.
- Zendesk, How companies got faster at solving customer issues. Published October 14, 2021.
- Zendesk, AI Agents are raising the quality bar. Published June 14, 2026.
- Salesforce, State of Service, Sixth Edition. Survey fielded December 8, 2023, through January 22, 2024.
- Salesforce, State of Service, Seventh Edition. Published 2025.
- Caruelle, Lervik-Olsen, and Gustafsson, Journal of Retailing. Volume 99, Issue 2, 2023.
- Ilk, Journal of Operations Management. Volume 68, Issue 7, 2022.
- Zendesk Benchmark white paper. Historical benchmark used only for metric context.
Frequently asked questions
What is a good first response time for customer support?
A good first response time meets the expectation set for that channel and customer. HubSpot's 2018 survey found that 60% of customers defined an immediate response as 10 minutes or less, which is a useful baseline for synchronous channels. Email and complex cases need separately stated targets.
Is first response time the same as resolution time?
No. First response time ends when the first qualifying reply is sent. Resolution time ends when the customer's issue is solved. Zendesk reported in 2021 that 73% of customers prioritized fast resolution, compared with 59% who prioritized a fast response.
Should an automated acknowledgment count as the first response?
Teams can count it if their reporting definition says so, but they should also report the first substantive response. Separating the two prevents an instant receipt from hiding the time a customer waited for useful help.
How should first response time be reported?
Report the median, 90th percentile, and share within the service-level target for each channel. State whether the clock uses business hours or calendar hours, and segment automated replies from human replies.
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