Original Research

2026 Home Services
AI Receptionist Industry Report

Original data from TheChattyAI analyzing 50,000+ calls across 40+ home service businesses.

R

Rich

CEO & Founder, TheChattyAI

10+ years in home services technology. Built voice AI systems processing 1M+ calls. Passionate about helping service businesses grow.

Home Services Tech ExpertAI Voice Pioneer
Quick Answer

How much revenue do home service businesses lose to missed calls?

Home service businesses lose an average of $2,847 per month to missed calls. Our analysis of 50,000+ calls shows 67% go to voicemail during business hours, and 85% of those callers never leave a message. Plumbing companies lose $3,647/month, HVAC loses $3,897/month. AI receptionists capture 94% of these opportunities.

Key Findings

67%

of home service calls go to voicemail during business hours

85%

of callers who reach voicemail do not leave a message

$2,847

average monthly revenue lost per business from missed calls

94%

of AI-answered calls result in successful outcomes

1.8s

average AI response time vs 23 seconds for human receptionists

40%

of missed calls happen during active job hours

Missed Call Revenue Impact by Industry

Based on analysis of call patterns and average job values across 40+ businesses.

IndustryAvg. Job ValueMonthly MissedMonthly Loss
Plumbing$38747 calls$3,647
HVAC$51238 calls$3,897
Electrical$29842 calls$2,508
Roofing$8,50012 calls$20,400
Landscaping$24535 calls$1,715
Pest Control$18952 calls$1,965
Cleaning$17548 calls$1,680
Garage Door$42528 calls$2,380

* Monthly loss calculated as: Missed Calls × Job Value × 20% conversion rate

AI Receptionist Performance Metrics

1.8s

Average Answer Time

94%

Successful Outcomes

98%

Customer Satisfaction

$847

Avg. Monthly Savings

Methodology

This report analyzes data from TheChattyAI platform, including:

  • 50,000+ calls across 40+ home service businesses
  • Data collected from January 2025 to January 2026
  • Industries: plumbing, HVAC, electrical, roofing, landscaping, and more
  • Metrics: answer times, call outcomes, booking rates, customer satisfaction
  • Revenue impact calculated using reported job values and conversion rates

All data is anonymized and aggregated. Individual business data is not disclosed.

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