25 February 2026

Trades Call Handling Benchmark

Urgent triage and first-to-answer dynamics for Australian trade businesses.

Trades call handling benchmark: urgent triage and first-to-answer dynamics

This micro-report focuses on trade businesses. For the full benchmark methodology, see the Australian SME Call Handling and Automation Benchmark Report.

Unique data angle

Urgent triage and first-to-answer wins dynamics.

Job site work prevents answering. Callers often choose the first responder. Missed calls mean lost quotes and lost jobs.

Revenue model

missed_calls × quote_to_job_rate × avg_job_value × repeat_referral_multiplier

Job type → required fields → escalation trigger

Job typeRequired fieldsEscalation trigger
General enquirySuburb, job type, urgencyEmergency keywords
Quote requestSuburb, job type, preferred time
Urgent/callbackSuburb, contact, callback windowLife-threatening

What not to say (liability control)

  • Do not give emergency safety instructions beyond "if life-threatening call 000"
  • Do not quote exact prices without confirmed pricing rules
  • Do not diagnose or advise on technical fixes

See AI receptionist for tradies for implementation guidance.

Methodology

Scope

  • Country: Australia
  • Verticals: Service SMEs (clinics, gyms, restaurants, trades, professional services)
  • Date range: As specified in each report section

Data sources (hierarchy)

  1. Government and statutory sources: Australian Bureau of Statistics (ABS), Fair Work Ombudsman (FWO), Australian Taxation Office (ATO), Office of the Australian Information Commissioner (OAIC)
  2. Published vendor pricing (timestamped, linkable)
  3. Valory anonymised aggregates (if used): sample, timeframe, and exclusions defined per report

Definitions

  • Missed call: Inbound call that was not answered by the business (voicemail, ring-out, or overflow)
  • Answered call: Call that reached a human or automated system and received a response
  • Qualified lead: Caller who expressed intent to book, enquire, or purchase and provided contact details
  • Booking captured: Confirmed appointment, reservation, or callback scheduled

Modelling formula estimated_loss = missed_calls × lead_to_book_rate × average_value × LTV_multiplier

  • missed_calls: Monthly count of unanswered calls
  • lead_to_book_rate: Proportion of missed callers who would have converted if answered (modelled)
  • average_value: Average transaction or booking value (AUD)
  • LTV_multiplier: Repeat/referral factor (1.0 = single transaction; higher for recurring)

Limitations

Model sensitivity

  • Results are sensitive to lead-to-book rate and speed-to-contact assumptions
  • Conservative, base, and aggressive scenarios are modelling ranges, not industry benchmarks
  • Actual outcomes depend on business-specific factors (vertical, location, call volume, staff capacity)

Data availability

  • Wage and cost data sourced from government publications; rates change periodically
  • Vendor comparison uses publicly documented attributes only; "Unknown" where not verifiable

Legal and compliance

  • Privacy, consent, and retention rules vary by jurisdiction and business context
  • For Australian businesses, refer to OAIC Australian Privacy Principles (APP 5 notice, APP 11 security/retention)
  • Implement business-specific legal review before deployment

References

Government and statutory

Valory