01 / 153 leads
The total lead actions recorded in the campaign report during one 28-day reporting window. The published source does not break out every call and form by type.
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Case study
How a Melbourne home service business got 153 leads in 28 days.
Last updated 28 July 2026
A Melbourne home service business I run all the marketing for generated 153 leads in 28 days at about $35 per lead, and booked roughly 62% of those leads into paying jobs. The biggest improvement came from the calls that were already being generated. An AI receptionist began answering missed calls and helping turn them into booked work.
01 / RESULT153Leads in 28 days
01 / RESULT$35Cost per lead
01 / RESULT62%Of leads booked into jobs
01 / RESULTMissed callsNow booked jobs, by AI
Proof notes
How to read these numbers
This is an anonymised operating result, not an independently audited financial statement. The client name and source export are not public because they contain business and customer information.
02 / About $35 per lead
Reported advertising cost divided by the 153 recorded leads, rounded to the nearest dollar. This is cost per recorded lead, not cost per booked or completed job.
03 / Roughly 62% booked
The share of those recorded leads that the client marked as booked into paying work, rounded to a whole percentage. Booked does not mean completed or paid at the reporting cut-off.
Source and verification
- Source owner
- Ajay Dabhi, the specialist managing the client's marketing system.
- Public timeframe
- One consecutive 28-day reporting window. Exact start and end dates are not published in the current public record.
- Last checked
- 28 July 2026. Ajay reviewed the public definitions and account context; the underlying client record is not published.
Attribution and limits
The result belongs to the combined system: Google Ads generated demand, the website provided call and form paths, the AI receptionist handled missed-call gaps, and the client's booking records supplied the booked outcome. It does not prove that one channel caused every lead or booking.
No separate public exclusion register is available for spam, duplicate contacts, existing-customer administration or later cancellations. Treat the figures as the operating report used to manage the account, with that limitation clearly stated.
What was the problem?
The business was paying for ads while the owners were on the tools and unable to answer every call. Calls reached voicemail, and many callers moved on to the next business on Google. The campaign was generating enquiries that the business had little chance to handle in time.
What did I build?
I started with an AI receptionist that handles missed calls, captures job details and helps book suitable work, including after hours. I then restructured Google Ads around calls and bookings, with conversion tracking for real enquiries. The website was also rebuilt so visitors could call or submit a form without hunting for the next step.
What were the results?
Over 28 days the campaign produced 153 leads at about $35 per lead. Around 62% of those leads were booked into paying jobs. Calls that used to hit voicemail now have a path into the booking calendar. These are current figures from a business I still manage.
Why did the AI receptionist matter most?
The ads were already making the phone ring. The problem was that the owners could not answer while working. The AI receptionist responded during those gaps, captured the enquiry and helped book suitable jobs instead of leaving every caller at voicemail.
Can a home service business get the same result?
I cannot promise the same numbers. Trade, location, budget, pricing and follow-up all affect the result. I can apply the same operating method: improve call handling, track real enquiries and make the website easier to act on. The starting point depends on where your business is losing work now.
Are your paid leads getting answered?
Tell me what you do and what is not working. The first planning call costs you nothing. Melbourne businesses can also book an on-site visit.