Briora Dental
Healthcare / Dental Practice
One-Time / Treatment Revenue
What if patient demand is not the first constraint?
Briora Dental is a fictional dental practice used to demonstrate how SIGNAL can model the commercial economics of a treatment-revenue stream across categories, acceptance, and collections.
This example models fictional commercial treatment economics only. SIGNAL does not provide clinical, medical, insurance, or treatment advice, and the categories, acceptance rates, and costs shown are illustrative assumptions rather than clinical guidance.

Briora has consistent patient activity and generates meaningful treatment opportunities, but production does not seem to reflect the volume entering the practice.
The initial instinct is to increase new-patient marketing.
SIGNAL first models what happens to the treatment opportunities already present, category by category.
Owner Assumption
“We need more new patients.”
Current model
- Monthly treatment opportunities
- 148
- Routine / restorative
- 56% of volume · 67% acceptance · $820
- Major restorative
- 29% of volume · 46% acceptance · $1,780
- Elective
- 15% of volume · 31% acceptance · $2,650
- Gross accepted treatment value
- $98,914.47
- Collection rate
- 96%
- Collected treatment revenue
- $94,957.89
- Category direct costs
- 19% · 27% · 32%
- Payment cost
- 2.3%
- Modeled gross contribution
- $69,756.87
- Fictional fixed-cost allocation
- $38,000
- Modeled operating contribution
- $31,756.87
Modeled scenario
- Monthly treatment opportunities
- 148 (unchanged)
- Category values
- $820 · $1,780 · $2,650 (unchanged)
- Acceptance by category
- 70% · 51% · 36%
- Collection rate
- 97.5%
- Gross accepted treatment value
- $107,714.70
- Collected treatment revenue
- $105,021.83
- Modeled gross contribution
- $76,928.67
- Modeled operating contribution
- $38,928.67
Treatment volume and accepted case values are held constant. Only acceptance and collections move, and this demonstrates fictional commercial treatment economics only — it is not clinical advice.
Calculation Logic
Every figure below is produced by interacting drivers — volume, qualification, mix, conversion, frequency, channel economics, cost behavior, collections, churn, and expansion. A modeled scenario shows what those drivers would produce if the stated assumptions became true.
Current model
- 01Gross accepted treatment value
148 opportunities split 56% / 29% / 15%, each multiplied by category acceptance (67% / 46% / 31%) and accepted value ($820 / $1,780 / $2,650)
= $98,914.47
- 02Collected treatment revenue
$98,914.47 × 96% collection rate
= $94,957.89
- 03Modeled gross contribution
Collected revenue less category direct costs (19% / 27% / 32%) and 2.3% payment cost
= $69,756.87
- 04Modeled operating contribution
$69,756.87 less the $38,000 fictional fixed-cost allocation
= $31,756.87
Modeled scenario
- 01Gross accepted treatment value
Same 148 opportunities and same accepted values, with acceptance modeled at 70% / 51% / 36%
= $107,714.70
- 02Collected treatment revenue
$107,714.70 × 97.5% collection rate
= $105,021.83
- 03Modeled gross contribution
Collected revenue less the same category direct costs and 2.3% payment cost
= $76,928.67
- 04Modeled operating contribution
$76,928.67 less the $38,000 fictional fixed-cost allocation
= $38,928.67
What SIGNAL Surfaces
Acceptance rate, category mix, and collection rate each multiply through the same volume, so they compound rather than act independently.
That does not mean Briora has a “sales problem.”
Possible contributors could include patient communication, treatment presentation, financing, scheduling, insurance dynamics, case mix, trust, or other operational factors.
SIGNAL identifies the economic signal. It does not diagnose the clinical cause.
Better Question
Before increasing patient acquisition, what is shaping the economics of treatment opportunities already entering the practice?
Decision Areas To Investigate
- Treatment acceptance
- Category mix
- Collections
- Patient communication
- Financing options
- Scheduling
- Patient experience
The number is the signal.
SIGNAL models how business economics respond when assumptions change. A modeled scenario is not a forecast, guarantee, or automatic diagnosis. The purpose is to help you see where deeper investigation may be worthwhile.
