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Case Study — Device-Based & Injectable Cosmetology

Promoting a Cosmetology Clinic in Germany

Over 12 months, the Instagram audience grew 10×, the clinic received 4,800 inquiries and acquired around 1,500 new clients.

15 000

Instagram followers

Grown from 1,500 over 12 months

4 800

Inquiries received

3,600 from Instagram + 1,200 from Google

1 500+

New clients

Average acquisition cost €40

The Client

A Device-Based & Injectable Cosmetology Clinic

A clinic in Germany specializing in device-based and injectable cosmetology, anti-aging treatments, and skincare. At the start, it had an Instagram account with 1,500 followers and low engagement, plus an SEO-optimized website that wasn't generating enough calls or inquiries.

The clinic used the Altegio CRM system to manage its client base, but had no proper analytics infrastructure: it couldn't reliably identify which channels inquiries came from or how much it actually cost to acquire a new client.

The Approach

A System Instead of Scattered Campaigns

Instead of one-off posts, we built a comprehensive setup: expert content on Instagram, Google Ads search campaigns, full analytics, and telephony integrated with the CRM. The budget grew gradually as campaigns were optimized. On average over the whole period, the monthly ad spend was €5 000 (€3,000 Instagram and Facebook Ads + €2,000 Google Ads).

The goal wasn't just to increase reach, but to build a measurable acquisition system: from the first ad touchpoint to a booking and a clinic visit.

What We Did

Four workstreams, one system

Instagram Promotion

Reels, before/after breakdowns, testimonials, first-person specialist stories, ad campaigns and lead forms to build trust and drive inquiries.

Google Ads

Search campaigns across device-based and injectable cosmetology, anti-aging, skincare, and local queries.

Analytics & Tracking

Google Analytics 4, Meta Pixel, tracking of inquiries and target actions, linking calls back to ad sources.

Telephony & CRM

Virtual PBX, call tracking, sync with Meta, Google Ads, the website and Altegio, reporting on inquiries and bookings.

Ad Budget

Gradual growth as campaigns were optimized

The budget increased gradually as effective campaigns were configured and scaled. The table below shows average figures across the full engagement period.

ChannelAverage monthly budgetBudget over 12 months
Instagram and Facebook Ads€3 000€36 000
Google Ads€2 000€24 000
Total ad budget€5 000€60 000

Results Over 12 Months

Measurable growth across every workstream

Instagram followers grew from 1,500 to 15,000 — a 10× increase. Through Direct messages and ad lead forms, the clinic received around 3,600 inquiries. The average cost per inquiry from Instagram and Facebook was €10.

Google Ads search campaigns generated 1,200 qualified inquiries: 720 phone calls at €22 each and 480 website form submissions at €17 each. The average cost per inquiry from Google was €20.

10×

Audience growth

From 1,500 to 15,000 followers

€12,50

Average cost per inquiry

Across all channels

€40

Cost per new client

Inquiry-to-client conversion ~31%

Inquiries from Google Ads

Inquiry typeCountAverage cost
Phone calls720€22
Website form submissions480€17
Total from Google1 200€20

Overall Result

MetricResult
Engagement period12 месяцев
Total ad budget€60 000
Inquiries from Instagram and Facebook3 600
Calls from Google Ads720
Website form submissions from Google Ads480
Total inquiries4 800
Average cost per inquiry€12,50
New clientsоколо 1 500
Conversion to new clientоколо 31%
Average cost per client€40

Summary

From scattered activities to an acquisition system

Over the course of a year, we built a full client acquisition and tracking system for the clinic. Instagram became the primary channel for building trust and generating first-touch inquiries, while Google Ads brought in an additional stream of clients with already-formed demand. Integrating advertising, the website, telephony, and the CRM made it possible to see the entire client journey — from first interaction to clinic visit.

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The data and results presented in this case study are based on actual project analytics and are published with the client's consent. In accordance with confidentiality agreements and NDA terms, identifying and commercially sensitive information has been anonymized, and individual figures have been rounded without changing the overall dynamics and project totals.