How a Multi-Site Aesthetics Group Lifted Revenue 39.5%

A high-growth, multi-location medical aesthetics practice piped marketing spend, patient pipeline, and collections into one view — and grew revenue 39.5% year over year.

39.5%

Grew revenue, year over year

< 4 weeks

Implementation Time

Alex Lirtsman

Founder & CEO

CorralData

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The Challenge

A high-growth, multi-location medical aesthetics practice ran a surgical case-based model and a recurring medspa model at once across multiple locations. Patient data sat in the EMR, lead intelligence in separate CRMs, and ad spend in Google Ads, with no shared source of truth. Leadership couldn't answer which campaigns drove surgical consults versus medspa inquiries, where leads converted or dropped off, or which service lines were hitting revenue targets.

What They Built

A HIPAA-compliant governed warehouse unifying the practice's EMR, lead-intelligence CRMs, and ad data, plus a Marketing Attribution dashboard with Patient-Attributed ROAS, Practice Scorecards benchmarked by location, finance reporting across every service line, and AskCorral agents.

CorralData flowed data from the practice's EMR, lead intelligence, Google Ads, and the rest of the stack into one HIPAA-compliant governed warehouse as a single source of truth. On top, it stood up reporting and AI agents purpose-built for a multi-location surgical-and-medspa group: Marketing Attribution with Patient-Attributed ROAS, Practice Scorecards benchmarked to budget by location, and finance reporting across every service line. With marketing spend, patient pipeline, and collections finally in one view, the team could see exactly which channels were filling the books and scale them without guessing. Revenue grew 39.5% year over year. AskCorral pairs each question with a recommended next step, and CorralData's AI is extending into action — pushing budget shifts into Google Ads and triggering re-engagement under approval rules and HIPAA controls. Commercially, CorralData is a monthly or annual subscription starting at $300/month per integration or location, with no project fees, implementation charges, or engineering required — most multi-location customers pay a few thousand a month, all in.

AI Role

AI turns fragmented EMR, lead-intelligence, and ad data into live governed reporting: Patient-Attributed ROAS connects spend to kept appointments per service line, and AskCorral answers questions with a recommended next step, increasingly acting under approval rules.

Infrastructure

Nextech (EMR) • Liine (lead intelligence) • AesthetixCRM • Google Ads • CorralData HIPAA-compliant governed warehouse

Integration Points

Connectors syncing Nextech, Liine, AesthetixCRM, and Google Ads into one warehouse • Patient-Attributed ROAS attribution joining ad spend, call data, and patient records • AskCorral agent; outbound actions to Google Ads and email/SMS under approval rules

Impact

39.5% Revenue Growth

Revenue grew 39.5% year over year after unifying marketing spend, patient pipeline, and collections in one place.

One View of Spend to Bookings

With marketing, pipeline, and collections unified, the team could see exactly which channels were filling the books and scale them without guessing.

One operating model across 8 entities, 11 facilities, 53 service categories

CorralData helps the group manage 8 practice entities, 11 facilities, and 53 service categories on shared definitions — a new operating model, not just a reporting upgrade.

Technology Utilized

Implementation Complexity

Revenue Growth

Unifying EMR (Nextech), lead-intelligence CRMs (Liine, AesthetixCRM), and Google Ads into one HIPAA-compliant warehouse with per-service-line attribution across a surgical + medspa group.

Best Fit For

Multi-location surgical + medspa groups with data split across EMR, lead-intelligence, and ad platforms that need per-service-line attribution and practice scorecards.

Alex Lirtsman

Founder & CEO

CorralData

AI platform that unifies 600+ fragmented data sources for healthcare and consumer brands — from analytics into autonomous, HIPAA-compliant action.

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Industry:

Healthcare & Life Sciences

Business Function:

Marketing

Operations

Executive & Strategy

Company Size:

1-50

Project Cost:

Under $25K

Ownership:

Private Equity-Backed

Organization Type:

Private Company

AI Pattern:

Data Synthesis & Reporting

Conversational AI (Chatbot / Agent)

Decision Support & Scoring

Value Type:

Revenue Growth

AI Model:

Multi-model platform

Frequently Asked Questions

How did a multi-location medical aesthetics group grow revenue 39.5% with unified AI reporting?

The group flowed data from its EMR, lead-intelligence CRMs, and ad platforms into one HIPAA-compliant warehouse, then layered AI reporting and agents purpose-built for a surgical-and-medspa group — patient-attributed ROAS, practice scorecards benchmarked to budget, and finance reporting across every service line. With marketing spend, patient pipeline, and collections finally in one view, the team could see which channels filled the books and scale them. Revenue grew 39.5% year over year.

What AI tools and approach were used?

CorralData is an AI-powered data and analytics platform – not a one-time build or custom project. It connects 600+ data sources (EMRs, CRMs, ad platforms, billing systems, POS) into a unified, governed data warehouse with pre-built industry data models, out-of-the-box metrics, and custom reporting. On top of that infrastructure sits AskCorral, an AI agent that continuously monitors your data, answers business questions in plain language, surfaces insights and recommendations, builds dashboards, and can execute approved actions back through your existing tools.

What results did the group achieve?

Revenue grew 39.5% year over year, marketing spend, patient pipeline, and collections came into a single view, and 8 practice entities, 11 facilities, and 53 service categories now run on one shared operating model.

How long did the engagement take?

CorralData is a SaaS platform, not a one-time project. There is no months-long build phase and our customers don't need a data team or engineers. Customers go live within weeks of onboarding – and see meaningful results within their first month. The platform scales with your business, allowing you to add additional data sources and locations at any time.

Who is this approach best for?

Multi-location surgical and medspa groups with data split across EMR, lead-intelligence, and ad platforms that need per-service-line attribution and practice scorecards.