Dental Group A
“We lose dental implant inquiries between WhatsApp and the chair. The receptionist is doing three jobs by 11am.”
No published case studies before that. We won't fake them. The page below shows how the pilot will be measured, who is in the cohort, and the standard a real published case study will be held to.

Once upon a time, every clinic-owner site you visited had twelve logos in a row, four made-up percentages, and a testimonial from “Dr. Ahmed” with no last name and no licence number. The reader either was fooled, in which case the agency did not want them as a client anyway, or wasn't, in which case the site lost the credibility it was built to project.
The agency landscape in the GCC has been particularly cavalier about this. Logos lifted without permission. Screenshots that do not survive a 30-second reverse image search. AI-composite before/afters that fall under the DHA Standard ST-21 v1.1 anti-misleading clause. A clinic owner who reads ten of these in a row stops trusting any of them. The whole category is poorer for it.
We won't play. We will not list a logo we have not earned. We will not publish a percentage we cannot show the math for. The visible cost of that policy is a thin case-studies page in 2026. The compounding benefit is a case-studies page that is worth reading in 2027.
This is not a case study. It is a public scorecard so visitors and journalists can watch the work in flight. Updated every Friday once the cohort is live.
Five short cards. Each clinic shown by category, location and a one-line problem in the owner's words. No names. Names will be published only with each clinic's written consent, when the first quarterly outcomes drop.
“We lose dental implant inquiries between WhatsApp and the chair. The receptionist is doing three jobs by 11am.”
“The injector calendar is 60% full and we don't know why the other 40% don't book. The agency report doesn't match the appointment book.”
“Patient enquiries arrive at 9pm with consult expectations by lunchtime the next day. Our cycle is too long for that gap.”
“Mixed medical and cosmetic enquiries on the same line. Front desk can't qualify. Insurance routing burns 15 minutes per patient.”
“KSA patients want WhatsApp, our CRM wants email. Lead routing fails the moment the platform changes.”
The two walk-throughs below are illustrative, not actual client outcomes. Numbers come from the disclosed methodology, not from real engagements. The label is the load-bearing element on this page.
Week 1 - instrument the leak. Mystery-inquiry test. Front-desk shadowing. AED 340 math rebuilt for this clinic with their actual CPL and booked rates.
Week 4 - voice agent live for after-hours coverage. WhatsApp routing wired into a single inbox. SLA promise: under 8 minutes median first response.
Week 12 - first attribution-to-chair audit. No-show rate measured against baseline.
Week 26 - quarterly review. Math republished. Decision on contract continuation.
Week 1 - voice agent stack reviewed for Khaleeji-Arabic dialect coverage and consent-script alignment with DoH guidance. Faheem leads the engineering review.
Week 4 - handover protocol agreed in writing with the medical director. Voice agent permitted to confirm slots; not permitted to discuss clinical questions.
Week 12 - response-time SLA reviewed. After-hours coverage measured separately from business hours.
Week 26 - revenue per booked consult tracked alongside cycle conversion rate. Methodology disclosed.
The two narratives below are real, sourced and labelled. They are not GCC clinic case studies. They are evidence the operational hypothesis behind our work has been proven in adjacent verticals. We will not pass an analog off as our own.
The original studies showed a roughly 80% increase in qualified-lead conversion when first contact happened inside 5 minutes versus first contact inside an hour. The 2023 Drift State of Conversational Marketing reported a 47-hour median B2B response time, with only 7% of companies responding within 5 minutes. The mechanism is intact. The execution is rare.
The mechanism is shared: instrument the leak, close the response-time gap, attribute to revenue, publish the math. The applied work shifts from B2B SaaS lead-gen to private-clinic patient acquisition. The discipline does not.
We are publishing this standard before we have any case studies to apply it to. That is deliberate. Hold us to it. Hold every other agency to it too.
Anonymised case studies are placeholders. A published study will name the clinic, with the medical director's written sign-off on file.
“Last quarter” means nothing. Every metric will sit between two dates. The bad weeks stay in the table.
Meta, Google, Snap, TikTok where relevant. Aggregate spend hides the leak. We will publish the breakdown.
Last-click, multi-touch, or a documented hybrid. The method is named. The limitations are named with it.
What we promised. What we hit. What we missed. The misses make the document credible.
A no-show rate is meaningless without the rate it improved from. Baseline disclosed. Movement disclosed.
Two paragraphs in the owner's words. Reviewed by the medical director. Hand-signed.
If you join the cohort, you choose whether your name is published. The work happens either way. The pilot is small by design and the entry standard is set against the published math, not against a salesperson's mood.