MD Esthetics

Every MD Esthetics location has a different room count, provider mix, and booking pattern. Each of those factors changes what healthy performance looks like on any given day.

Leadership needed a revenue forecast it could trust enough to act on, not just a number that appeared after the month closed. Operations needed to know whether staffing matched actual demand at each location rather than relying on fixed schedules built months in advance. And inside sales performance needed to connect directly to compensation rather than being reconciled manually in another spreadsheet.

The same fragmentation extended across the business. Marketing spend and the patients it generated lived in separate reports, making it difficult to follow performance from campaign to completed visit. Esthetics, injectables, wellness, and capital equipment were folded into portfolio-wide numbers that could allow a strong service line to conceal a weaker one.

None of that could scale across 35 locations in spreadsheets. MD Esthetics needed one system that could hold its forecasts against reality, translate capacity into staffing decisions, and give each part of the business a clear view of its own performance.

Data from Zenoti, Sage Intacct, and Rippling now flows into one HIPAA-compliant, governed warehouse built around MD Esthetics’ own metric definitions rather than a generic template.

On top of that foundation, purpose-built Data Apps give teams direct visibility into forecasting, staffing, sales, marketing, and clinical performance. AskCorral, CorralData’s AI agent, also allows practice-level staff to investigate questions directly instead of waiting for someone to build or pull another report.

A Forecast with a Measurable Track Record

MD Esthetics’ Forecast Lab runs live run-rate and seasonal models for every location. A dedicated Model Accuracy Data App then backtests those forecasts against six months of actual results. Leadership can see more than a projection. It can also see how reliably that model has performed over time, providing greater context for the staffing and operating decisions built around it.

Capacity Translated into a Staffing Plan

The Clinic Capacity Data App compares bookable hours with actual hours booked, room by room and provider by provider. Its calculations use each location’s real room count instead of applying one system-wide assumption.

The Staff Deployment Optimizer turns that capacity data into a daily reassignment plan. Staff can be moved from a location with excess capacity to one where demand is outpacing coverage, helping MD Esthetics respond before those imbalances become missed opportunities or unnecessary labor costs.

Sales Performance and Compensation from the Same Source

Inside sales conversion and bonus tracking now run on the same governed data through dedicated Commission and Conversion & Bonus Tracking Data Apps.

Performance and compensation are calculated from the same underlying numbers, reducing the need to reconcile separate versions at the end of the month.

Marketing Measured Beyond the Initial Lead

The Marketing Funnel and ROI Data App connects campaign spend with the leads and consultations it generates, allowing MD Esthetics to evaluate channels by what they produce rather than cost alone.

Patient Acquisition & Journey follows each lead from first contact through a booked and completed visit, location by location. Patient Retention & LTV continues that view beyond acquisition, measuring what happens after the first appointment. A dedicated Reactivation Campaign Performance Data App shows whether efforts to reengage inactive patients result in new activity rather than treating reactivation as an isolated campaign with no follow-through.

Each Service Line Measured on Its Own Terms

Esthetics, injectables, wellness, and capital equipment each have a dedicated performance Data App that tracks revenue, volume, and utilization separately.

A piece of capital equipment generating strong returns at one location and sitting idle at another now appears as two distinct performance stories, not one portfolio-wide average that looks healthy either way. The same separation allows leadership to identify strengths and gaps across every clinical service line.

MD Esthetics now runs 35 locations on one governed operating model instead of rebuilding its revenue view by hand each day.

Leadership can compare revenue forecasts with actual performance throughout the month rather than waiting for the numbers to close. Staffing decisions can follow real, location-level capacity data instead of relying solely on schedules set months in advance. Inside sales performance and compensation now draw from the same governed numbers, closing the gap between what the team sold and what it is paid.

Marketing spend can be evaluated against the patients and appointments it produces. Esthetics, injectables, wellness, and capital equipment can each be managed as distinct service lines rather than being blended into one portfolio-wide average.

As MD Esthetics adds locations, each one can enter the same forecasting, staffing, sales, marketing, and clinical performance model as the rest of the portfolio, allowing the business to scale without rebuilding its operating discipline each time it grows.