• 🪟 Windows & Doors · Out-of-Hours AI Follow-Up

Clearview Windows & Doors: $28K Booked in the First Month From After-Hours Enquiries

Clearview was receiving quote requests in the evenings and on weekends. The problem was not demand. The problem was the gap between “I want a quote now” and “our team will call you when the office opens”. That gap is where competitors sneak in wearing tiny revenue-stealing shoes.

Jibba Jabba built an out-of-hours AI follow-up system that responded quickly, captured project details and helped prospects choose a next step before they went cold.

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  • Example Conversation Flow
  • Hi Emma, thanks for contacting Clearview Windows & Doors. Are you looking for a quote on windows, doors, or both?
  • Both. We are renovating.
  • Great. What suburb is the project in, and are you looking to start in the next month, next 3 months, or later?
  • Bentleigh. Next 3 months.
  • Thanks — that helps. Would you like the team to call tomorrow morning or afternoon to discuss the quote?
booked in first month
$ k
enquiry response
/ 7

Fast

qualified handoff
The Revenue Leak

People researching windows and doors often compare providers quickly. Clearview had strong interest, but after-hours enquiries were waiting too long for a meaningful first response.

  • Evening quote requests were not being qualified immediately.
  • Weekend enquiries sometimes waited until Monday.
  • The team had limited visibility over urgency, suburb and project type before calling back.
The System Built

The AI bot responded outside office hours, asked practical qualifying questions and gave the team a cleaner handoff for the next business day.

1

Enquiry arrives from website, ad or quote form.

2

AI confirms the project type, suburb and timeframe.

3

Prospect chooses a callback or quote step.

4

Team receives a summary instead of a mystery lead.

The Result

Clearview had a working example of how after-hours automation can turn passive form submissions into qualified sales conversations. The first month produced a draft result of $28K booked, pending final client verification.

 
Why It Worked

The workflow met prospects while intent was still warm. It did not try to close a complex renovation job by robot. It simply captured the right details and got the next human step moving faster.

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