🔒 Read-only preview. Create a free account to simulate your own scenarios, save them, compare side-by-side, and export to PDF.

FREE TOOL · DIGITAL HEALTH

Unit Economics Calculator

Model CAC, LTV, and LTV:CAC for the four common digital-health sub-archetypes — D2C subscription apps, Digital Therapeutics (DTx), RPM B2B2C, and Chronic Care platforms. The framework + numbers behind every Series A pitch unit-economics slide.

Sub-archetype

These four models have materially different funnels, KPIs, and acquisition motions. Pick yours first — the UI re-renders to show only the inputs that matter.

Sub-category

Drives ARPU + conversion defaults (mental health has higher willingness to pay).

Monthly traffic (visits)

Marketing-driven traffic to your app store / web landing.

Monthly marketing spend

Acquisition spend only — paid media, influencer, content.

Visit → registration (%)

Industry median 8-20%. Mental health and fitness typically higher than sleep.

5% – 25%12%

Trial → paid conversion (%)

Mental health therapy converts higher (urgent need); sleep apps lower.

10% – 50%35%

Monthly ARPU

Subscription median per paying user.

Monthly churn after activation (%)

Month 1: 20-40% (steep). Steady state month 6+: 5-15%.

3% – 30%12%

Layer implementation

The villa2026 AI maturity layer applied to your funnel. Each level compounds the previous.

No uplift modeled. Numbers stay at the baselines you entered above.

LTV : CAC ratio

35.00×

The headline single-number metric. >3 = healthy unit economics, 1-3 = working but tight, <1 = burning money on acquisition.

from 35.00×

CAC with layer

$12

from $12

LTV with layer

$417

from $417

Steady-state revenue (monthly)

$210.000

from $210.000

Funnel: baseline vs optimized

Export PDF

Keep going

Model your own scenario in under a minute.

Free account. No card required. Save scenarios, compare 2-4 side by side, export PDF for your team. Calibrated for digital health operators across D2C, DTx, RPM, and chronic care.

Create free account →