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Case Study2026 - 02 - 269 min

Case Study: Dental Clinic Recovered 47 Leads and 89 Reviews in 90 Days

Numbers matter. Claims about AI automation are everywhere. What is harder to find is a concrete, month-by-month breakdown of what actually happened at a real clinic. This case study covers a 90-day deployment at a general dentistry clinic in a mid-size Polish city, starting from baseline metrics and tracking every outcome the system produced. If you want to know what AI ROI looks like for a service business, this is the closest thing to a real answer.

SK

Sławomir Kwaśny

Cold to Close

The Clinic: Baseline Metrics Before AI Deployment

The clinic: a two-dentist general practice with one receptionist, operating Monday to Saturday, 9 AM to 6 PM. Patient volume: approximately 18 to 22 patients per day. Google reviews: 34 total, 4.6 average rating. Monthly missed calls (calls under 10 seconds or reaching voicemail): 23. Active patient database: 1,100 contacts. Dormant patients (no appointment in 12+ months): 380.

34

Google reviews at baseline before AI deployment

23

monthly missed calls before deployment

Modules Deployed and Configuration Details

The clinic deployed three modules: Lead Engagement (WhatsApp-based inquiry handling and booking), Missed Call AI (SMS recovery for unanswered calls), and Review Agent (post-appointment automated review requests). Reactivation was added in month 2 after initial results came in. The Website Widget was not deployed as the clinic did not have significant website traffic.

Month 1 Results: Lead Recovery and First Review Surge

In the first 30 days, the system handled 67 WhatsApp inquiries outside business hours that would previously have gone unanswered until the next morning. Of these, 31 converted to booked appointments. At EUR 185 average first-visit revenue, that is EUR 5,735 in recovered after-hours revenue in month 1 alone.

The Missed Call module recovered 16 of the 23 typical monthly missed calls. 9 of the 16 SMS recipients booked an appointment within 48 hours. That is an additional EUR 1,665 in recovered revenue from missed calls.

The Review Agent sent post-appointment messages to 100% of completed visits (approximately 370 patients in month 1). 43% responded with a review. The clinic added 27 new Google reviews in 30 days, going from 34 to 61 total reviews.

27

new Google reviews in month 1 (from 34 to 61 total)

Month 2 Results: Reactivation Campaign Launch

In month 2, the Reactivation module was added. The system identified 148 dormant patients in the 11 to 16 month window (the recall-ready segment). A personalized 'time for your checkup' sequence was sent over 2 weeks. 23 patients booked an appointment. Revenue from reactivation in month 2: EUR 4,255.

Google reviews continued at pace: 31 new reviews added in month 2. The clinic reached 92 total reviews by the end of month 2. Local Pack ranking for the primary target keyword improved from position 7 to position 3.

Position 7 to 3

Google Local Pack ranking improvement in 60 days

Month 3 Results: System Runs Autonomously

By month 3, the system was fully autonomous. Staff involvement in managing the AI was under 20 minutes per week (primarily reviewing the monthly report and approving a handful of flagged conversation escalations). The lead volume handled by the AI continued to grow as the clinic's improved Google ranking drove more inbound traffic.

Month 3 metrics: 38 new Google reviews (total reached 130 by end of month 3), 11 more reactivated patients from the second segment of the dormant database, 19 after-hours WhatsApp bookings. The receptionist commented that her inbox was 60% quieter for routine inquiries and she could focus more on in-clinic patient experience.

90-Day Total: The Full ROI Picture

  • Recovered leads (after-hours + missed calls): 47 new bookings, approximately EUR 8,700 first-visit revenue
  • Reactivated patients: 34 total (months 2 and 3), approximately EUR 6,300 revenue
  • New Google reviews: 89 (from 34 to 123 total reviews)
  • Google Local Pack ranking: from position 7 to position 2 by end of month 3
  • Staff time saved: estimated 15 to 20 hours per month on routine inquiries
  • Total direct revenue impact in 90 days: approximately EUR 15,000

EUR 15,000

total direct revenue impact in the first 90 days

What the Clinic Owner Said

I was skeptical. I thought patients would not want to deal with a bot. What I did not expect was how fast the reviews came in and how many people were booking from WhatsApp at 9 or 10 PM. That window was completely dead for us before. Now it is one of our highest-converting booking sources.

Clinic owner, general dentistry, Poland

The 90-day ROI calculation does not include the long-term value of improved Google ranking (ongoing organic lead flow), the LTV of the 47 recovered patients over 3 years (EUR 26,300 at EUR 560 LTV each), or the referral value of patients who left 5-star reviews. The direct revenue figure understates the actual impact.

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