AI receptionist pricing for home services

1) The 4 pricing drivers that matter most in home services

• Call volume: estimates, emergencies, status calls, and repeat callers add minutes quickly.
• After-hours coverage: nights/weekends/holidays usually increase volume and urgency.
• Routing rules: on-call rotations, overflow lines, and “urgent vs routine” branching.
• Lead capture depth: collecting address, service type, symptoms, photos, and preferred times.

If you need help forecasting volume first, start here: pricing by call volume tiers.

2) What to include in your script (so you don’t pay for longer calls)

Longer calls cost more. A clean script reduces handling time while still qualifying leads. For most home services, aim to capture:

• Name + callback number
• Address / service area confirmation
• Service type (repair, install, maintenance)
• Urgency (no heat, leak, breaker tripping, etc.)
• Best time window + any gate code / access notes

If you operate multiple crews or service areas, this guide helps you budget routing properly: multi-location pricing.

3) Common pricing mistakes (and how to avoid them)

• Paying per location when routing is shared: you may only need one core workflow with a few schedules.
• Ignoring repeat callers: “where is my tech?” calls can inflate minutes if you don’t have a fast path.
• No emergency branch: urgent calls should route instantly (and not get stuck in a long form).

4) Vendor questions (copy/paste)

• Do you charge per minute, per call, or per location/number?
• How do you handle after-hours escalation (on-call rotation, timeout, multi-try)?
• Can we add a fast path for status calls and another for emergencies?
• What reporting do we get for missed calls and lead-to-job conversion?