Sales

86.8%, 87.5%, 74.1%, 89.5%: Grok Bot Grades Every Inbound Call to Show an HVAC Shop's Real Booking Rate

  • Level Intermediate
  • Setup1–3 hrs (estimated)
  • Evidence Some evidence
  • CostNot stated in source
  • No-codeYes
Grok BotSource-linked

What they did

A second-generation HVAC and plumbing operator has Grok Bot grade every inbound call from the recordings at 5 pm each day. It works out the real booking rate (booked divided by booked plus not booked, not counting calls from techs and vendors). The last four windows were 86.8%, 87.5%, 74.1% and 89.5%.

How it went

A daily booking-rate number with the reasons calls were lost.

Worth knowing

  • Single post from an operator. Tell callers they may be recorded where the law requires it, and spot-check the bot's grading against a few recordings.

Prompt

Cleaned version rewritten from the source — not a direct quote.

Every day at [5 pm], go through today's inbound call recordings from [phone system]. For each call, mark it booked, not booked, or not a customer (techs, vendors, spam), with a one-line reason. Report today's booking rate (booked divided by booked plus not booked), how it compares with the last [4] periods, and the top reasons calls weren't booked.

Recommended

Try it in Grok Bot

  1. Copy the prompt (button below).
  2. Open Grok Bot chat and paste it. Replace any [bracketed] placeholders.
  3. Connect the listed tools (as needed) as connectors when Grok Bot asks.
  4. If the task repeats, ask: "Make this a daily routine."

Alternatives: the same prompt works in Claude, ChatGPT Agent, OpenClaw.

Set it up

Stack: Grok Bot + call recordings

  1. Read the original source for full context.
  2. Connect the tools your agent needs.
  3. Paste the prompt and replace [bracketed] placeholders.
  4. Run once manually and check the output before scheduling it.

Generic suggested steps, not from the source.

Evidence

X post with four real booking-rate figures from daily call grading

Source: X · 2026-10-16 · Verified by us: not yet · Report broken or outdated

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