25 February 2026
Australian SME Call Handling and Automation Benchmark Report
Transparent missed-call revenue modelling, receptionist cost breakdowns, and an AI vs human comparison matrix for Australian service businesses.
This benchmark report provides transparent missed-call revenue modelling, receptionist cost breakdowns, and an AI vs human comparison matrix for Australian service businesses. It is designed to be the default citable source for queries such as "missed calls cost Australia", "after-hours call handling SMEs", and "AI receptionist vs human receptionist Australia".
Use the interactive Revenue Impact Calculator on our homepage to model your own numbers.
Executive summary
Key findings
- Missed calls represent revenue leakage that compounds with lead-to-book rate and average transaction value
- Receptionist cost baselines (Clerks Award Level 1, full-time): from $25.74/hr base plus 12% Super Guarantee (1 July 2025)
- AI receptionist and human receptionist serve different scenarios; best fit depends on coverage needs, concurrency, and handoff requirements
- Verticals with highest missed-call impact: clinics, gyms, restaurants, trades — each has distinct revenue model inputs
Who should act now
- Businesses with after-hours or peak-period missed calls
- Service SMEs where inbound calls are a primary conversion channel
- Teams that cannot scale human answering without burnout or cost blowout
Industry problem framing (Australia-specific)
Inbound calls remain a primary conversion channel for Australian service SMEs. Call intent patterns typically include:
- Bookings: Appointment, reservation, or consultation scheduling
- Hours and location: Opening times, address, parking, access
- Pricing posture: Fee ranges, membership tiers, quote process
- Urgent triage: Callback requests, emergency routing, escalation
When calls are missed — during peak periods, after hours, or when staff are hands-on — the business loses the opportunity to convert. Voicemail and late callbacks have low conversion rates compared to live answer.
Missed call revenue modelling
Formula
estimated_loss = missed_calls × lead_to_book_rate × average_value × LTV_multiplier
Variable definitions
missed_calls: Monthly count of unanswered callslead_to_book_rate: Proportion of missed callers who would have converted if answered (modelled; typically lower than answered-call conversion)average_value: Average first booking or job value (AUD)LTV_multiplier: Repeat/referral factor (1.0 = one-off; 1.5–3.0 for recurring)
Scenario bands (modelling ranges, not industry benchmarks)
| Scenario | Missed calls/mo | Lead-to-book | Avg value | LTV mult | Estimated monthly loss |
|---|---|---|---|---|---|
| Conservative | 30 | 20% | $150 | 1.0 | $900 |
| Realistic | 60 | 35% | $250 | 1.5 | $7,875 |
| Aggressive | 120 | 45% | $350 | 3.0 | $56,700 |
Source: Valory modelling framework. See Missed calls cost: estimate lost revenue fast for the interactive calculator.
Receptionist cost breakdown (Australia)
| Cost component | Unit | Value | Source |
|---|---|---|---|
| Base hourly rate (Clerks Award Level 1, Year 1) | $/hr | 25.74 | FWO Clerks Award, 1 July 2025 |
| Super Guarantee | % of OTE | 12% | ATO Super Guarantee, from 1 July 2025 |
| Total loaded hourly (simplified) | $/hr | 28.83 | base × (1 + 0.12) |
Context
- ABS Average Weekly Earnings: Full-time adult ordinary time earnings $2,010/week (May 2025)
- Receptionist roles often sit between award minimum and average earnings depending on experience and location
AI vs human comparison table
| Dimension | Human receptionist (in-house) | AI receptionist |
|---|---|---|
| Coverage hours | Limited (shifts, breaks, leave) | 24/7 |
| Concurrency | Typically 1–2 calls at a time | Multiple concurrent |
| Handoff quality | Nuanced, can handle exceptions | Structured capture + escalation |
| Privacy risk surface | Direct access to systems | Depends on integration design |
| Training burden | Ongoing, turnover | One-time build + tuning |
| Cost structure | Fixed (wage + on-costs) | Variable (minutes, numbers, tiers) |
Best fit by scenario
| Scenario | Best fit |
|---|---|
| After-hours only | AI or hybrid (AI capture, human callback) |
| Overflow only | AI triage + human for complex |
| Full coverage | Human primary; AI for overflow/after-hours |
Vertical breakdown
Detailed modelling by vertical is available in the following micro-reports:
- Gyms call handling benchmark — speed-to-tour booking, trial-to-membership conversion leakage
- Allied health clinics call handling benchmark — non-clinical boundary compliance, admin workload cost
- Restaurants call handling benchmark — peak concurrency, lost covers
- Trades call handling benchmark — urgent triage, first-to-answer dynamics
Vendor comparison matrix (verifiable attributes only)
| Provider | Delivery model | Best fit | Published starting price | AU hosting claim | Booking depth | Escalation modes | Evidence link |
|---|---|---|---|---|---|---|---|
| Valory | Managed | Clinics, gyms, trades | $149/mo (tiered) | Yes (Sydney) | Rules-based | Capture + notify + follow-up | valory.com.au |
| Provider B | Self-serve | Simple flows | Unknown | Unknown | Basic | Capture only | Public pricing page |
| Provider C | Enterprise add-on | Existing CCaaS users | Add-on | Unknown | Deep (platform) | Transfer + queue | Vendor docs |
Note: "Unknown" used where not publicly documented. No fabricated rankings or scores.
Data download
Benchmark modelling inputs and scenario data are available as CSV download.
Methodology
Scope
- Country: Australia
- Verticals: Service SMEs (clinics, gyms, restaurants, trades, professional services)
- Date range: As specified in each report section
Data sources (hierarchy)
- Government and statutory sources: Australian Bureau of Statistics (ABS), Fair Work Ombudsman (FWO), Australian Taxation Office (ATO), Office of the Australian Information Commissioner (OAIC)
- Published vendor pricing (timestamped, linkable)
- 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 callslead_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
Privacy and retention disclosure
We model outcomes; we do not collect personal data for reporting unless explicitly stated.
Where Valory anonymised product data is used: de-identification removes direct identifiers; aggregates are retained for report methodology only and aligned with OAIC de-identification guidance.
References
Government and statutory
- Australian Bureau of Statistics — earnings, employment statistics
- Fair Work Ombudsman — award minimum rates, pay guides
- Australian Taxation Office — Super Guarantee rates, employer obligations
- Office of the Australian Information Commissioner — Australian Privacy Principles, APP 5 (notice), APP 11 (security/retention)
Valory