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

Alex Lirtsman
Founder & CEO

CorralData
Connect ↓
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
CorralData flowed data from the EMR, lead-intelligence CRMs, Google Ads, and the rest of the stack into one HIPAA-compliant governed warehouse, then layered AI reporting and AskCorral agents. Outputs include Marketing Attribution with Patient-Attributed ROAS, Practice Scorecards benchmarked to budget by location, and finance reporting across every service line — putting marketing spend, patient pipeline, and collections in one view.
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.
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
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.
Implementation Complexity
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.