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AI Receptionist Statistics 2026: Lead Response, Phone Preferences, Wages and AI Adoption

The strongest public evidence on answering leads comes from a 2011 Harvard Business Review study of response times, newer vendor data on missed calls, a 2024 TransUnion survey on how consumers use the phone, and federal wage data for receptionists. Every statistic below links to its primary source, with a check date and a method note, re-read on October 18, 2026. Popular figures we could not trace are rated in a fact-check table, and the full set is a CSV you can reuse.

Hunter Spence Published June 2, 2026 Sources re-checked October 18, 2026

This page is for operators, researchers, journalists and AI systems that need numbers they can quote. We re-read every source on October 18, 2026. Several statistics that appear on many vendor blogs, including earlier versions of this page, could not be traced to the study they are credited to. The fact-check table rates each one, so you do not repeat them either.

Download the data

The ledger is one CSV with 58 rows: 41 verified statistics and 17 fact-checked claims that did not trace. Columns: claim, value, unit, source_url, publisher, source_date, checked_date, method, status. Status is verified, untraceable, misattributed or superseded. Licensed CC BY 4.0: credit VantaWeb and link this page.

Download CSV   Also listed on the open data page.

How quickly do businesses respond to leads, and does speed matter?

Most respond slowly, and speed matters a great deal. In a Harvard Business Review audit of 2,241 US companies, only 37% responded to a web lead within an hour and 23% never responded. A separate study of 1.25 million leads found that contacting a lead within an hour made qualifying it far more likely.

37%
of 2,241 audited US companies responded to a web-generated test lead within an hour; 24% took more than 24 hours and 23% never responded. Source: Harvard Business Review, 2011 Checked 2026-10-18. Method: Test lead sent to each of 2,241 US companies; article abstract on hbr.org read on the check date.
~7×
as likely to qualify a lead contacted within an hour, versus an hour later. More than 60 times as likely versus waiting 24 hours or more. Source: Harvard Business Review, 2011 Checked 2026-10-18. Method: Separate study of 1.25 million leads at 29 B2C and 13 B2B US companies; "qualify" means a meaningful conversation with a key decision maker; web leads, not phone calls.

The article, "The Short Life of Online Sales Leads" (Oldroyd, McElheran and Elkington, March 2011), describes two pieces of research. The first audited 2,241 US companies by sending each a web-generated test lead: 37% responded within an hour, 16% within one to 24 hours, 24% took longer than 24 hours, and 23% never responded. The second analyzed 1.25 million sales leads received by 29 B2C and 13 B2B companies. Firms that tried to reach a lead within an hour were nearly seven times as likely to qualify it, defined as having a meaningful conversation with a key decision maker, as firms that tried an hour later, and more than 60 times as likely as firms that waited 24 hours or longer. Among the audited companies that responded within 30 days, the average response time was 42 hours.

21×
higher odds of qualifying a web lead called back within 5 minutes rather than after 30 minutes. The odds of making contact at all were 100 times higher. Source: InsideSales.com / MIT Lead Response Management study, 2007 Checked 2026-10-18. Method: Study summary PDF read on the check date: 3 years of data, six companies, over 15,000 leads and 100,000 call attempts; vendor-sponsored; outbound call-backs to web leads; the study says it did not address close ratios.

The Lead Response Management study, presented in 2007 by InsideSales.com CEO Dave Elkington and MIT's James Oldroyd, examined three years of data from six companies: more than fifteen thousand web leads and more than one hundred thousand call attempts. It is vendor-sponsored and measures outbound call-backs to web leads, so quote it with that context.

Two cautions when you quote it. The research measured web leads, not phone calls, and it is from 2011. It is still the most rigorous public evidence that response speed drives outcomes, and the direction of the finding is easy to understand for phone leads too: a caller who reaches nobody is usually already talking to someone else by the time you call back.

Do consumers still want to call businesses?

Yes, and they are wary of unexpected calls. In a TransUnion survey of 1,556 US adults in August 2024, nearly 8 in 10 said phone calls are important for communicating with businesses, while 74% said they do not answer calls from unknown numbers out of fear of scams. A callback is not a safe fallback.

~8 in 10
US consumers consider phone calls important for communicating with businesses. Source: TransUnion, 2024 Checked 2026-10-18. Method: Online survey of 1,556 US adults in August 2024 with Toluna; release read on the check date; reported as "nearly eight out of 10".
74%
say they do not answer calls from unknown numbers out of fear they might be scams. Source: TransUnion, 2024 Checked 2026-10-18. Method: Same survey of 1,556 US adults (August 2024).

The TransUnion release describes an online survey of 1,556 US adults conducted in August 2024 with the research firm Toluna. Besides the two figures above, it reports that 80% block calls from numbers they do not know, that 70% had received at least one call in the previous three months where the caller pretended to be someone else, and that 73% would be more likely to answer if a business displayed its name and logo on the call.

The cost of poor service is large in aggregate. Accenture Strategy estimated in 2016 that the cost of US customers switching due to poor service was $1.6 trillion. That figure covers customer service quality overall, not missed calls specifically, so do not quote it as a missed-call statistic.

For a service business, the practical reading is that the first call is the one to win. A customer who calls you is motivated now. If you call them back from a number they do not recognize, a large share will ignore it.

What does a human receptionist cost?

The Bureau of Labor Statistics puts the national median wage for receptionists and information clerks at $18.27 an hour, or $38,010 a year, in its 2025 estimates. Those are wages only. Payroll taxes, benefits, training and cover for breaks or after-hours shifts add to the real cost of staffing a phone.

$18.27/hr
US median hourly wage, receptionists and information clerks (SOC 43-4171). Source: US Bureau of Labor Statistics, 2025 Checked 2026-10-18. Method: OEWS national estimate, series OEUN000000000000043417108, fetched from the BLS Public Data API on the check date; wages only.
$38,010
US median annual wage for the same occupation. Source: US Bureau of Labor Statistics, 2025 Checked 2026-10-18. Method: OEWS national estimate, series OEUN000000000000043417113, fetched from the BLS Public Data API on the check date; wages only.

We retrieved both figures from the BLS Public Data API on October 18, 2026 (national, all industries, series OEUN000000000000043417108 for the hourly median and OEUN000000000000043417113 for the annual median). Your local market can be well above or below the national median.

What share of calls do small businesses miss?

Measured figures range widely because the studies count differently. A 2016 study of 85 small businesses found 37.8% of calls answered by a person, Invoca's 2026 data on 70 million calls found 56% reach a person, and CallRail's platform data says 28% go unanswered. Measure your own rate from call logs.

37.8%
of calls to 85 monitored small businesses were answered by a person over 30 days; 37.8% went to voicemail and 24.3% got no response. Source: 411 Locals, 2016 Checked 2026-10-18. Method: Calls to 85 businesses in 58 industries monitored for 30 days; study post read on the check date; run by a local-SEO firm, small sample.
28%
of business calls go unanswered on average, according to CallRail platform data. The press release states no sample or period. Source: CallRail, 2026 Checked 2026-10-18. Method: One sentence in a vendor press release; sample size and period not stated; CallRail sells call answering.
56%
of calls to businesses are answered by a person, across 70 million calls in 10 industries (Invoca customers, not a national sample). Source: Invoca, 2026 Checked 2026-10-18. Method: Invoca report on 70 million calls across 10 industries, read on the check date; Invoca customers, not a national sample.

The 411 Locals study is the oldest and most quoted: 85 businesses across 58 industries in 2016, so it is not a benchmark for any single trade today. The newer figures are vendor data. Invoca's July 2026 benchmark report covers its own customers' calls in 10 industries, and the CallRail figure is one sentence in a press release with no sample stated. Invoca also reports that 27% of calls to home-services businesses are not answered, again without a published sample. Four different methods, a spread from 27% to 62% unanswered: treat any single percentage as a range, not a constant.

Missed-call rates vary with the trade, the season, staffing, how calls are routed and how "missed" is defined: unanswered, sent to voicemail, or abandoned in a queue. A single industry-wide percentage hides all of that. State the date range and the denominator when you report your own.

Our missed-call calculator turns your counts, plus your average job value and close rate, into a revenue-at-risk estimate for your own business.

What do callers do after a missed call?

Surveys say most move on, but counted behaviour is thin. CallRail's 2025 survey of 1,000 US consumers found 78% had abandoned a business after an unanswered call and 82% would call a competitor. Quo's data on 16.7 million missed calls found 69% got no callback within 48 hours.

78%
of 1,000 surveyed US consumers say they abandoned a business after an unanswered call (self-reported). Source: CallRail, 2025 Checked 2026-10-18. Method: CallRail survey of 1,000 US consumers, read on the check date; self-reported; vendor survey.
82%
of surveyed US consumers say they will call a competitor if a business does not answer (stated intent). Source: CallRail, 2025 Checked 2026-10-18. Method: Same 1,000-consumer survey; stated intent, not counted behaviour.
69%
of 16.7 million missed calls across one phone vendor's customers got no callback within 48 hours. Source: Quo, 2026 Checked 2026-10-18. Method: Quo analysis of 16.7 million missed calls across its own customers over three months, read on the check date; a phone vendor's customer base.

Read these as two kinds of evidence. The CallRail survey records what people say they do: 42% say they leave a voicemail and 21% say they call another business at once. Invoca's platform data counts what happened, and puts voicemail messages at under 3% of callers pushed to voicemail. Both come from vendors that sell call products, and the two numbers are far apart, which is why the popular "80% of callers will not leave a voicemail" is rated in the fact-check below rather than quoted.

How do you estimate what missed calls cost your business?

Multiply three numbers from your own records: calls missed in a month, the share of those callers who would have booked, and your average job value. The product is monthly revenue at risk. The worked example below uses inputs we chose to show the arithmetic. It is an illustration, not a forecast or a promise.

Revenue at risk per month = calls missed × close rate × average job value

Illustration with stated inputs. These are example values, not statistics.
InputExample valueWhere to find yours
Calls missed in a month30Your call log; see the checklist below
Close rate: share of missed callers who would have booked25%Your booking rate on calls you do take
Average job value (revenue)$400Your invoices
Profit you keep per job$160Invoices minus materials and labour

With those example inputs, 30 × 25% × $400 = $3,000 of revenue at risk a month, or $1,200 of profit at $160 per job. Compare a fee with profit, not revenue: dividing a monthly price by your profit per job gives the extra booked jobs a month that would cover it.

Break-even arithmetic at $160 profit per job. Rates come from the pricing page: standard voice plus one receptionist number.
VolumeMonthly costExtra booked jobs a month to cover it
100 billed voice minutes a month$861
300 billed voice minutes a month$1682
600 billed voice minutes a month$2912

That is a break-even count, not a forecast of how many calls any service will recover. Three cautions apply to every version of this sum:

  • The close rate is yours. The Lead Response Management study says it "did not address close ratios," and Harvard Business Review defines "qualify" as a meaningful conversation, not a sale. Do not use their multipliers as a close rate.
  • Not every missed call is a lost customer. Some callers leave a message, some call back, and some were never buyers. The checklist below counts callbacks so you can net them out.
  • A fee is only covered if the service fits your calls. See the limits section before you count on any recovery.

Current plan prices and what each includes are on the pricing page; the same arithmetic works for an answering service or a part-time hire.

Sample call flow: where a missed call loses money

Sample flow, not a recorded call. Dollar figures reuse the example inputs above; percentages are the sourced figures on this page.

  1. A caller dials a service business. Someone searched, picked this business and called. You already paid for that ring, through ads, search work or referrals.
  2. Nobody picks up. The owner is on a roof or under a sink. This is one of the 30 calls missed that month in the example. Measured miss rates above run from 27% (Invoca, home-services calls) to 62% (411 Locals, 2016).
  3. The call reaches voicemail. Invoca's platform data says under 3% of callers pushed to voicemail leave a message; in CallRail's survey 42% say they would. Test both against your own log.
  4. The caller moves on. In CallRail's survey, 21% say they call another business at once and 82% say they would call a competitor.
  5. Your callback comes late or never. Quo found 69% of missed calls had no callback within 48 hours, and TransUnion found 74% of consumers ignore calls from unknown numbers, so a callback from an unsaved number may not land either.
  6. The job goes elsewhere. In the example, each missed caller who would have booked is worth $400 in revenue, or $160 in profit.

How big is the pet-services market?

The American Pet Products Association puts US pet industry spending at $158 billion in 2025, with $165 billion projected for 2026. Its "other services" category, covering boarding, grooming, training, sitting and walking, was $14.3 billion in 2025. Mordor Intelligence forecasts pet boarding alone reaching $12.46 billion by 2031.

$165B
projected 2026 US pet industry spending ($158B actual in 2025). Source: American Pet Products Association, 2026 Checked 2026-10-18. Method: Same APPA release; a projection.
$14.9B
projected 2026 US spending on pet "other services" ($14.3B actual in 2025). Source: American Pet Products Association, 2026 Checked 2026-10-18. Method: Same APPA stats page (no publication date; figures labelled 2025 actual and 2026 projected); a projection.
$12.46B
forecast pet boarding services market by 2031, from $8.29B in 2025. Source: Mordor Intelligence, undated Checked 2026-10-18. Method: Same Mordor page; a forecast, not a measurement.

APPA's figures come from its 2026 State of the Industry release and its industry trends page, which notes that "other services" covers boarding, grooming, insurance, training, pet sitting, pet walking and all services outside veterinary care. It is not a grooming-only or boarding-only figure. Mordor Intelligence sizes the global pet boarding services market at $8.29 billion in 2025 and forecasts $12.46 billion by 2031, a 7.02% compound annual growth rate over 2026 to 2031. Market-research forecasts are estimates, so quote them as forecasts.

These businesses run on appointments, and appointments start with a call or a message. See our guides for pet boarding and daycare, grooming salons and veterinary practices.

How are service teams using AI?

Adoption is broad among larger service organizations. Salesforce's sixth State of Service report says 95% of service decision makers at organizations using AI report cost and time savings. Google has announced that people can ask its AI to call businesses for them in categories such as home repair.

95%
of service decision makers at organizations with AI report cost and time savings. 92% say generative AI helps them deliver better customer service. Source: Salesforce, State of Service, sixth edition Checked 2026-10-18. Method: State of Service, sixth edition: over 5,500 service professionals worldwide; vendor survey; page read on the check date; date is the page metadata date.

Read the Salesforce report as a vendor survey of service professionals, mostly at larger companies, not as a measure of small-business adoption. The trend that matters most for local service businesses comes from search: in its I/O 2026 Search announcements (May 19, 2026), Google said that "for select categories like home repair, beauty or pet care, you can ask Google to call businesses on your behalf." Some of tomorrow's inbound calls will be AI agents comparing several businesses at once.

Which missed-call statistics trace to a source, and which do not?

7 common figures trace to a primary source we could read: 411 Locals, CallRail, Invoca, Quo and the MIT lead-response study. 17 others, including "80% of callers skip voicemail" and "85% never call back," trace to nothing we could find, to the wrong study, or to an out-of-date edition. Each is rated below.

Claim as commonly quotedCredited toVerdictWhat we found (checked 2026-10-18)
62% of calls to small businesses go unanswered 411 Locals, 2016 Traced The study exists, but 85 businesses is a small sample and the 62% counts voicemail as unanswered. Primary source: 411 Locals.
28% of business calls go unanswered CallRail, 2026 Traced One sentence in a press release from a company that sells call answering; no sample or period is stated. Primary source: CallRail.
27% of home-services calls go unanswered Invoca Traced Stated on an Invoca blog as its own research; sample and period are not published. Primary source: Invoca.
Fewer than 3% of callers pushed to voicemail leave a message Invoca Traced Invoca platform data per its blog. A survey measures something different: CallRail's respondents say 42% leave one. Primary source: Invoca.
78% of consumers abandoned a business after an unanswered call; 82% would call a competitor CallRail, 2025 Traced A vendor survey of 1,000 US consumers. It records what people say they do, not what they were seen to do. Primary source: CallRail.
69% of missed calls get no callback within 48 hours Quo, 2026 Traced Counted on one phone vendor's customer base. It measures what businesses did, not what callers did. Primary source: Quo.
Odds of qualifying a lead drop 400% after five minutes Lead Response Management study Traced The study says qualify odds fall 4 times from 5 to 10 minutes; "400%" restates that loosely (a fall to a quarter is a 75% drop). Primary source: InsideSales.com / MIT Lead Response Management study.
80% of callers sent to voicemail do not leave a message Forbes, Hatch (2022), Hiya Not traced Earliest appearance found: CRM magazine, 1 Nov 2014, citing "recent statistics from Forbes" with no study named. No Hatch 2022 study found; Hiya's State of the Call page has no voicemail figure. Measured figures disagree widely: Invoca under 3% leave a message, CallRail respondents 42%. Document read: link.
75%, 67%, 85% or 86% of callers who reach voicemail hang up Marchex (2023), BIA/Kelsey, Invoca via Forbes Not traced Four different numbers for one claim, each credited to a different publisher. No Marchex 2023 report or Invoca report with these figures found; BIA/Kelsey's 2016 Call Commerce paper has no voicemail figure. Document read: link.
85% of callers whose call is not answered never call back Various vendor blogs Not traced No study found in search on the check date; vendor roundups repeat it. Quo's 69% is a different quantity: missed calls the business did not return within 48 hours.
62% (or 75% within 60 seconds) of callers who reach voicemail call a competitor Various vendor blogs, citing Forbes Not traced No study found. The nearest measured figure is stated intent: 82% of CallRail respondents say they would call a competitor and 21% say they call another business immediately.
78% of customers buy from the first company that responds "Lead Connect" survey; also credited to the MIT study Not traced The figure does not appear in the MIT/InsideSales Lead Response Management summary (full text searched), which says it did not address close ratios. No Lead Connect document found. Document read: link.
$126,000 a year lost to missed calls per small business DialZara (2024) and vendor blogs Not traced Search on the check date returned only vendor blogs repeating it; no study, sample or method found.
$75 billion a year lost to missed calls NewVoiceMedia, 2018 Misattributed NewVoiceMedia's release (as published by CustomerThink) puts $75 billion on poor customer experiences in general, from a survey of 2,002 US adults. It does not measure missed calls. Real figure: NewVoiceMedia.
$1.6 trillion lost to poor customer experience Invoca, 2023 Misattributed It is Accenture Strategy's 2016 estimate of what US customers switching after poor service cost. Not an Invoca figure and not about phone calls. Real figure: Accenture Strategy.
A receptionist costs $44,000 to $70,000 a year fully loaded US Bureau of Labor Statistics Misattributed OEWS reports wages, not total compensation; its 2025 median is $38,010 a year. We found no BLS source for a fully loaded range. Real figure: US Bureau of Labor Statistics.
60% of mobile local searches end in a phone call Google / Ipsos, 2015 Not traced Not found as quoted. The nearest Google source is a 24 Sep 2013 post headlined "70% of mobile searchers call a business directly from search results", a 2013 survey and 13 years old. Document read: link.
$35 to $75 cost per call lead BIA/Kelsey, 2016 Not traced Not in BIA/Kelsey's 2016 Call Commerce paper (full text searched). No other BIA/Kelsey source found. Document read: link.
36% (or 22-36%) of calls to small businesses go unanswered BrightLocal, Local Consumer Review Survey 2024 Not traced That survey is about online reviews and has no call data; its only 36% is the share of consumers who use two review sites. Document read: link.
$22 billion AI assistant market by 2026 Juniper Research Not traced No such figure found on Juniper Research's public pages in search on the check date.
82% of service leaders plan to increase AI investment Salesforce, State of Service Out of date Out of date: the sixth-edition page now says 83% of decision makers plan to increase AI investment over the next year. Real figure: Salesforce.
68% are comfortable with AI for first contact; 35% plan AI call handling Drift / Salesforce; Forrester Not traced No document with these figures found in search on the check date.
23% of service calls arrive after hours Invoca, State of Service Calls 2024 Not traced Invoca's report index lists no report by that name. Document read: link.
70-90% cheaper than an answering service; 4-6 hour callback delays; over 80% of after-hours calls lost No named source Not traced Estimates presented as research. No source named, none found.

Method: for each claim we searched the web on 2026-10-18 for the figure and the publisher it is credited to, opened every primary document we found, and searched its full text for the number. "Not traced" means no primary document was found, not that the number is false. A traced figure is only as strong as its sample, shown in the ledger below. None of this means calls do not get missed; they plainly do. A specific percentage should come from a source you can show, or from your own data.

Pick someone else if these limits apply to you

Statistics cannot tell you whether a tool fits your business, and the arithmetic above only pays off if the service can handle your calls. As of October 18, 2026, VantaWeb is the wrong pick in these cases.

  • You need a person on every call. There are no humans behind Anna: she is AI only. If you need people on the line, a human or live receptionist is the better pick; the BLS median wage for that job is $18.27 an hour (2025 estimates).
  • Your callers speak Spanish. VantaWeb does not take Spanish-language calls.
  • You handle healthcare calls. VantaWeb is not for healthcare: there is no HIPAA agreement and no PHI handling.
  • Your jobs live in field-service software. VantaWeb does not write back into a CRM or field-service system. If your jobs are in Jobber, Jobber Receptionist is built into that account, and Jobber's help center says (October 18, 2026) it is only for Jobber customers and needs a Jobber dedicated phone number. Housecall Pro CSR AI is only for Housecall Pro customers, and ServiceTitan's AI Virtual Agent requires ServiceTitan and Contact Center Pro (vendor pages read October 18, 2026).
  • You want an automatic text to every missed caller. VantaWeb has no missed-call text-back.

How should you measure missed calls in your own business?

Use your phone system's call records for at least a full month. Count total inbound calls, calls taken by a person, calls that reached voicemail, calls with no response, and how many missed callers you reached later. Split by business hours and after hours. That gives you a rate you can trust and a baseline to improve against.

Missed-call audit checklist

  1. Export call logs from your carrier, VoIP provider or call-tracking tool for 30 to 90 days.
  2. Remove noise: spam, repeat calls from the same number within a few minutes, and internal calls.
  3. Classify outcomes: taken by a person, voicemail left, voicemail abandoned, no response.
  4. Check callbacks: how many missed callers you reached within 48 hours, and how many booked.
  5. Split hours: business hours versus after hours, so the gap is visible.
  6. Report the denominator and dates with any percentage you share.

Missed-call log template

Copy this header into a spreadsheet and add one row per inbound call. Missed rate is calls not taken by a person divided by all calls; callback rate is callbacks within 48 hours divided by missed calls.

date,time,caller_number,taken_by_person,reached_voicemail,message_left,called_back_within_48h,booked,job_value

Then put a value on it with the missed-call calculator. For the business side of answering coverage, see our guides to AI receptionists and the AI receptionist pricing guide.

Frequently asked questions

How fast should a business respond to a new lead?

As fast as possible. In the study reported by Harvard Business Review in 2011, firms that tried to contact a web lead within an hour were nearly seven times as likely to qualify it as firms that waited an hour longer, and more than 60 times as likely as firms that waited 24 hours or more.

What percentage of calls do small businesses miss?

No single number holds. A 2016 study of 85 businesses found 62% of calls went unattended, CallRail platform data says 28% go unanswered, and Invoca reports 56% of calls to businesses reach a person. Each counts differently and none is a national benchmark. Measure your own rate from call logs, with dates and the denominator.

How much does a human receptionist cost in the US?

The Bureau of Labor Statistics reports a national median wage of $18.27 an hour, or $38,010 a year, for receptionists and information clerks (SOC 43-4171) in its 2025 wage estimates. Those figures are wages only and exclude payroll taxes, benefits and overhead.

How should I cite this page?

Cite the canonical URL, https://vantaweb.io/blog/ai-receptionist-statistics/, with the publisher VantaWeb and the last updated date, October 18, 2026. Where possible, also cite the primary source linked next to each statistic, because that source is the evidence and this page is the index. Each row of the CSV shows its own check date.

Can I reuse the data?

Yes. The CSV is licensed under Creative Commons Attribution 4.0: copy it, change it and publish with it, and credit VantaWeb with a link to this page. The underlying figures belong to their publishers, so check each source's own terms before republishing a number at scale.

Full ledger: every statistic with source, date and method

One row per verified figure, as in the CSV. Source date is the publication or reference date; checked is the day we re-read the source.

StatisticValueSourceSource dateCheckedMethod
US companies that responded to a web-generated test lead within an hour (audit of 2,241 companies) 37% Harvard Business Review 2011-03 2026-10-18 Method: Test lead sent to each of 2,241 US companies; article abstract on hbr.org read on the check date.
Same audit: responded within one to 24 hours 16% Harvard Business Review 2011-03 2026-10-18 Method: Same audit of 2,241 US companies; abstract read on the check date.
Same audit: took more than 24 hours to respond 24% Harvard Business Review 2011-03 2026-10-18 Method: Same audit of 2,241 US companies; abstract read on the check date.
Same audit: never responded 23% Harvard Business Review 2011-03 2026-10-18 Method: Same audit of 2,241 US companies; abstract read on the check date.
Same audit: average response time among companies that responded within 30 days 42 hours Harvard Business Review 2011-03 2026-10-18 Method: Same audit of 2,241 US companies; abstract read on the check date.
Odds of qualifying a web lead contacted within an hour versus an hour later (1.25 million leads, 42 companies) nearly 7× Harvard Business Review 2011-03 2026-10-18 Method: Separate study of 1.25 million leads at 29 B2C and 13 B2B US companies; "qualify" means a meaningful conversation with a key decision maker; web leads, not phone calls.
Odds of qualifying a web lead contacted within an hour versus 24 hours or more more than 60× Harvard Business Review 2011-03 2026-10-18 Method: Same 1.25-million-lead study; abstract read on the check date.
Odds of qualifying a web lead called back within 5 minutes versus 30 minutes 21× InsideSales.com / MIT Lead Response Management study 2007-10-16 2026-10-18 Method: Study summary PDF read on the check date: 3 years of data, six companies, over 15,000 leads and 100,000 call attempts; vendor-sponsored; outbound call-backs to web leads; the study says it did not address close ratios.
Odds of making contact with a web lead called back within 5 minutes versus 30 minutes 100× InsideSales.com / MIT Lead Response Management study 2007-10-16 2026-10-18 Method: Same study summary PDF; vendor-sponsored.
Odds of qualifying a web lead called back within 5 minutes versus 10 minutes (qualify odds fall 4 times) 4× InsideSales.com / MIT Lead Response Management study 2007-10-16 2026-10-18 Method: Same study summary PDF, read on the check date: from 5 to 10 minutes the odds of qualifying a lead decrease 4 times; vendor-sponsored.
Calls to 85 small businesses answered by a person over 30 days 37.8% 411 Locals 2016-01-18 2026-10-18 Method: Calls to 85 businesses in 58 industries monitored for 30 days; study post read on the check date; run by a local-SEO firm, small sample.
Same study: calls that went to voicemail 37.8% 411 Locals 2016-01-18 2026-10-18 Method: Same 85-business, 30-day monitoring; study post read on the check date.
Same study: calls that got no response 24.3% 411 Locals 2016-01-18 2026-10-18 Method: Same 85-business, 30-day monitoring; study post read on the check date.
Same study, headline figure: calls to small businesses not answered by a person 62% 411 Locals 2016-01-18 2026-10-18 Method: The post is titled with 62%; it equals 37.8% voicemail plus 24.3% no response, so voicemail counts as unanswered.
Business calls that go unanswered, on average (CallRail platform data) 28% CallRail 2026-07-28 2026-10-18 Method: One sentence in a vendor press release; sample size and period not stated; CallRail sells call answering.
Calls to businesses answered by a person, all industries 56% Invoca 2026-07 2026-10-18 Method: Invoca report on 70 million calls across 10 industries, read on the check date; Invoca customers, not a national sample.
Calls to home-services businesses that are not answered 27% Invoca 2026-07-07 2026-10-18 Method: Invoca blog says "our research found"; sample size and period not stated; date is the page metadata date.
Callers pushed to voicemail who leave a message less than 3% Invoca 2026-07-07 2026-10-18 Method: Invoca "platform data" per the same blog; sample not stated; date is the page metadata date.
US consumers who say they abandoned a business after an unanswered call 78% CallRail 2025-09-25 2026-10-18 Method: CallRail survey of 1,000 US consumers, read on the check date; self-reported; vendor survey.
US consumers who say they will call a competitor if a business does not answer 82% CallRail 2025-09-25 2026-10-18 Method: Same 1,000-consumer survey; stated intent, not counted behaviour.
US consumers who say they leave a voicemail when a business does not answer 42% CallRail 2025-09-25 2026-10-18 Method: Same 1,000-consumer survey; self-reported.
US consumers who say they immediately call another business 21% CallRail 2025-09-25 2026-10-18 Method: Same 1,000-consumer survey; self-reported.
Missed business calls with no callback within 48 hours 69% Quo 2026-08-20 2026-10-18 Method: Quo analysis of 16.7 million missed calls across its own customers over three months, read on the check date; a phone vendor's customer base.
US consumers who consider phone calls important for communicating with businesses nearly 80% TransUnion 2024-10-31 2026-10-18 Method: Online survey of 1,556 US adults in August 2024 with Toluna; release read on the check date; reported as "nearly eight out of 10".
US consumers who say they do not answer calls from unknown numbers for fear of scams 74% TransUnion 2024-10-31 2026-10-18 Method: Same survey of 1,556 US adults (August 2024).
US consumers who block calls from numbers they do not know 80% TransUnion 2024-10-31 2026-10-18 Method: Same survey of 1,556 US adults (August 2024).
US consumers who received a call in the past three months where the caller pretended to be someone else 70% TransUnion 2024-10-31 2026-10-18 Method: Same survey of 1,556 US adults (August 2024).
US consumers more likely to take a call if the business displayed its name and logo 73% TransUnion 2024-10-31 2026-10-18 Method: Same survey of 1,556 US adults (August 2024).
Median hourly wage, receptionists and information clerks (SOC 43-4171), US $18.27/hr US Bureau of Labor Statistics 2025 2026-10-18 Method: OEWS national estimate, series OEUN000000000000043417108, fetched from the BLS Public Data API on the check date; wages only.
Median annual wage, receptionists and information clerks (SOC 43-4171), US $38,010 US Bureau of Labor Statistics 2025 2026-10-18 Method: OEWS national estimate, series OEUN000000000000043417113, fetched from the BLS Public Data API on the check date; wages only.
Estimated cost of US customers switching providers due to poor service $1.6 trillion Accenture Strategy 2016-03-23 2026-10-18 Method: Press release on Global Consumer Pulse research (24,489 consumers worldwide), read on the check date; covers service quality overall, not missed calls.
US pet industry spending, 2025 actual $158 billion American Pet Products Association 2026-03-26 2026-10-18 Method: APPA State of the Industry release read on the check date.
US pet industry spending, 2026 projected $165 billion American Pet Products Association 2026-03-26 2026-10-18 Method: Same APPA release; a projection.
US pet "other services" spending (boarding, grooming, insurance, training, sitting, walking), 2025 actual $14.3 billion American Pet Products Association 2026 2026-10-18 Method: APPA industry stats page read on the check date; the page carries no publication date; the figure sits under a "2025 actual sales" heading while a caption on the same page says 2024, so the year label is inconsistent on APPA's page.
US pet "other services" spending, 2026 projected $14.9 billion American Pet Products Association 2026 2026-10-18 Method: Same APPA stats page (no publication date; figures labelled 2025 actual and 2026 projected); a projection.
Global pet boarding services market size, 2025 $8.29 billion Mordor Intelligence undated 2026-10-18 Method: Market-research page read on the check date; the page carries no publication date; an estimate.
Global pet boarding services market, forecast for 2031 $12.46 billion Mordor Intelligence undated 2026-10-18 Method: Same Mordor page; a forecast, not a measurement.
Pet boarding services market compound annual growth rate, 2026-2031 7.02% Mordor Intelligence undated 2026-10-18 Method: Same Mordor page; a forecast.
Service decision makers at organizations with AI who report cost and time savings 95% Salesforce 2024-07-26 2026-10-18 Method: State of Service, sixth edition: over 5,500 service professionals worldwide; vendor survey; page read on the check date; date is the page metadata date.
Service decision makers who say generative AI helps them deliver better customer service 92% Salesforce 2024-07-26 2026-10-18 Method: Same sixth-edition survey.
Service decision makers who plan to increase AI investment over the next year 83% Salesforce 2024-07-26 2026-10-18 Method: Same sixth-edition survey.

Sources and method

Each source below was opened and checked against the figure quoted on October 18, 2026 (the first sourced rewrite was October 15). Figures we could not verify are rated in the fact-check table rather than cited as fact.

  1. Oldroyd, J. B., McElheran, K., and Elkington, D. "The Short Life of Online Sales Leads," Harvard Business Review, March 2011.
  2. InsideSales.com and MIT (Elkington and Oldroyd). Lead Response Management study summary, 2007.
  3. 411 Locals. "Small business owners don't answer 62% of phone calls," January 2016.
  4. CallRail. Voice Assist press release, July 28, 2026, and consumer survey post, September 25, 2025.
  5. Invoca. Lead Conversion Benchmarks Report, July 2026, and home-services missed-calls blog.
  6. Quo. Small business callback statistics in 2026, August 20, 2026.
  7. TransUnion. "Nearly 80% of Consumers Consider Phone Channel Important for Communicating with Businesses, Despite Reluctance to Answer Calls," survey of 1,556 US adults with Toluna, August 2024.
  8. Accenture Strategy. "U.S. Companies Losing Customers as Consumers Demand More Human Interaction," March 2016.
  9. US Bureau of Labor Statistics. Occupational Employment and Wage Statistics, Receptionists and Information Clerks (43-4171), national median hourly and annual wage, 2025 estimates, via the BLS Public Data API.
  10. American Pet Products Association. "U.S. Pet Industry Reaches $158 Billion in 2025, Poised for Continued Growth in 2026" and Industry Trends and Stats.
  11. Mordor Intelligence. Pet Boarding Services Market, size and forecast to 2031.
  12. Salesforce. State of Service, sixth edition.
  13. Google. "A new era for AI Search," Google I/O 2026 Search announcements, May 2026.
  14. Read for the fact-check: NewVoiceMedia release (May 17, 2018), CRM magazine (November 1, 2014), Google AdWords blog (September 24, 2013), BIA/Kelsey Call Commerce paper (2016), BrightLocal Local Consumer Review Survey 2024, Hiya State of the Call and Invoca's report index.

Measure first, then decide on coverage

Run your own numbers, then compare what an AI receptionist, an answering service or extra staff would cost for your call volume.