Tradie Lead Response Benchmark 2026
Every figure on this page comes from publicly accessible research, linked to its original source below. This page benchmarks how fast Australian tradies respond to new leads and what response speed is worth. The headline number: leads contacted within 5 minutes are roughly 21× more likely to be qualified than leads contacted after 30 minutes (a 2007 US B2B study). Australian platform data shows a median tradie response of 11.2 minutes (Service.com.au, 2026) and roughly double the win rate for sub-hour responses (ServiceSeeking, 2024).
The headline numbers
| Metric | 2026 figure |
|---|---|
| Qualification lift, <5 min vs >30 min response | ~21× |
| Lead cost inflation, 2024 → 2025 | +21% |
| Conversion rate change, 2024 → 2025 | −12% |
| Healthy cost-per-lead band | $40–140 |
| Marketplace cost per booked job | $87–375 |
Why response speed is the whole game
A lead is a perishable asset. Every minute it sits unanswered, the customer is getting a quote from someone else. The research is unambiguous: the tradie who answers in minutes wins the job, the one who answers tomorrow pays for the lead and loses the work. Video leads compress this further - you see the job before you drive out, so an informed quote can go out in minutes.
What we measure
The benchmark tracks response time, win rate, and job value by trade, drawing entirely on publicly accessible research. Every figure on this page links to its original source in the methodology note below, so you can check the data yourself.
Get the data
Every headline figure on this page is drawn from publicly accessible research, and each one links to its original source in the methodology note below. The key datasets: the 2007 MIT/InsideSales.com lead-response study, Service.com.au's Australian response-time data, ServiceSeeking's 2024 win-rate research, and the ServiceScale and made4tradies lead-cost analyses.
Tradsiee's own research
Tradsiee is running its own research on lead response times across Australian trades - a survey of tradies, plus response-time data from the Tradsiee platform. It starts with Tradsiee's own users and grows with the platform: as more tradies join, the dataset gets bigger and this benchmark gets more precise. Results will be published on this page as they reach publication size.