This service is new, and there are no client case studies to show yet. Rather than dress up invented numbers as proof, here's what the audit looks for and how any claim on this page will be evidenced once there are real results to publish.
Not promises about your account — these are the categories the audit is built to detect, drawn from how paid lead generation fails in high-ticket local services.
A campaign with the best cost-per-lead in the account and almost no booked work behind it. Because the ad platform only sees the lead, it keeps spending there — and because the reporting only counts leads, it keeps looking like the winner.
Genuine enquiries that were never answered and never returned. These are paid for twice: once in ad spend, once in the job that went to whoever picked up. They cluster hard by time of day, which usually points at a staffing gap rather than a marketing one.
Leads from suburbs the business doesn't service, or won't travel to profitably. Often traceable to a single loose radius setting or an over-broad location target that has been running untouched for months.
Keywords attracting people who want something adjacent to what the business actually sells — a repair when they only do installs, a quote for a product line they dropped. Real people, real intent, wrong business.
When case studies do go up here, each one will carry:
What won't appear: invented figures, stock testimonials, or results borrowed from someone else's work and implied to be ours. An audit whose entire premise is that reported numbers are misleading has no business opening with misleading numbers.
In the meantime, the instant preview will generate an illustrative breakdown from your own inputs. It is explicitly labelled as illustrative, because it is modelled on typical patterns rather than measured from your data.
One client location, A$1,500, report in seven days. If the audit finds nothing meaningful, you'll be told that plainly.