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AI Receptionist for Aesthetic Clinic: Overcoming Pricing Objections

Medical Aesthetics · France · Fresha · July 22, 2026

A multi-location premium medical aesthetic clinic group in France.

AI Receptionist for Aesthetic Clinic: Overcoming Pricing Objections
The context

The clinic group was losing high-value patient appointments due to heavy inbound traffic inquiring about price lists. Staff spent hours answering pricing questions on phone and messaging channels, or explaining billing options for body contouring and laser treatments. Consequently, many qualified leads dropped off the booking funnel during offline hours.

The Cali rollout

Cali was deployed to handle all inbound channels, fully integrated with their Fresha platform. Trained on technical clinic brochures, she addresses price concerns by emphasizing clinical outcomes, credentialed experts, and custom financing, guiding patients straight to booking an initial consultation on Fresha.

The result

Automating price qualification relieved administrative bottlenecks entirely. Out-of-hours drop-offs were minimized through instant communication, driving up booking density for high-value services.

+42%
Out-of-hours consultations booked on Fresha
< 60s
Average first-response time across channels
28% → 8%
Drop-off rate related to price objections
« Cali systematically shifts the conversation from generic pricing to clinical quality. Our coordinators now only steps in for qualified, high-intent patients ready to book. »
Director of Marketing & Operations

Anonymized sector scenario, inspired by real Cali AI deployments. Figures reflect ranges observed on comparable clinics.

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