Live calculators

Every formula shown. Every output live. All 10 models tied together.

Revenue & MRR
Customer ROI
Capacity
No-show
SLA & overtime
Build vs buy
Reseller
Marketplace
Unit economics
5-year forecast

Revenue & MRR projection

Tune inputs · the formula and outputs update instantly.

Paying tenants2,500
Avg bookings/mo600
% on Business plan55%
Per-booking ₹3
Payment markup %35%
Marketplace cut %20%
Monthly churn %3%
subscription_mrr = tenants × Σ(plan_share × plan_price) usage_mrr = tenants × bookings × (per_booking_fee + paid_value × payment_markup) marketplace_mrr = subscription_mrr × marketplace_cut × 0.18 net_mrr = (sub + usage + marketplace) × (1 − churn) arr = net_mrr × 12
Subscription MRR
—
—
Usage MRR
—
—
Marketplace MRR
—
20% take
Net MRR
—
post churn
ARR
—
run-rate
Valuation (15× ARR)
—
directional

Customer ROI calculator

Show prospects exactly what Ideadunes saves them per month.

Bookings/mo1,500
Avg ticket ₹800
No-show % today18%
Admin hours/wk22
Staff cost ₹/hr350
no_show_recovered = bookings × max(no_show − 4%, 0) × ticket × 0.6 admin_hours_saved = staff_hours × 0.7 × 4 weeks × hourly_cost utilization_lift = bookings × ticket × 12% (ai optimizer) monthly_value = sum − ideadunes_subscription payback_days = subscription / (monthly_value / 30)
No-show recovery
—
/month
Admin time saved
—
/month
Utilization lift
—
/month
Total monthly value
—
net of subscription
Payback period
—
days
12-month ROI
—
return on spend

Capacity planning

Resources12
Working hrs/day9
Slot length min30
Buffer min10
Target utilization %85%
slots_per_day = (hours × 60) / (slot + buffer) daily_capacity = resources × slots_per_day target_throughput = daily_capacity × utilization monthly_bookings = target_throughput × 26 working days
Slots/day/resource
—
Daily capacity
—
Target throughput
—
at chosen util
Monthly bookings
—
Add staff for +20%
—
Peak-hour pressure
—
vs avg

No-show savings calculator

Bookings/mo3,000
Current no-show %22%
Revenue lost ₹1,200
Deposit %30%
channel_lift = email 30% + sms 50% + whatsapp 65% + voice 75% deposit_lift = deposit_pct × 0.6 ai_predict_lift = +22% extra no_show_after = current × (1 − combined_lift)
Current loss/mo
—
No-show after
—
Monthly recovery
—
Slots refilled
—
Deposit retained
—
Total annualized
—

SLA & overtime exposure

Field jobs/day80
Target SLA %95%
Penalty/breach ₹2,500
Overtime/wk hr9
Today breaches
—
Monthly penalty
—
AI-prevented
—
Overtime cut/mo
—
Net savings/mo
—
Payback
—
days

Build vs buy

For prospects evaluating whether to build their own scheduler. Spoiler: they shouldn't.

Eng team size4
Cost ₹L/eng/mo3
Months to MVP12
Maint % ongoing60%
Build cost (3 yrs)
—
+ infra + tools
Ideadunes cost (3 yrs)
—
scale plan
Savings
—
over 3 years
Time-to-live
—
vs build

Reseller earnings projection

For partners evaluating the white-label program · 30% revshare default.

Customers brought60
Avg plan ₹/mo2,500
Revshare %30%
Annual retention %88%
Monthly revshare
—
Annualized
—
3-yr cumulative
—
w/ retention

Marketplace developer earnings

Monthly installs800
Price ₹/mo599
Platform cut %20%
Monthly churn %6%
Developer take
—
/month
Platform take
—
/month
Total GMV
—
/month
12m developer ARR
—
12m platform ARR
—
Net retention
—
monthly

Unit economics

CAC ₹4,500
ARPA ₹/mo2,200
Gross margin %82%
Monthly churn %3%
ltv = (arpa × gross_margin) / churn ltv : cac = ltv / cac target ≥ 3:1 payback_months = cac / (arpa × gross_margin)
LTV
—
LTV : CAC
—
—
CAC payback
—
months
ARPU
—
Monthly contribution
—
Months to break even
—

5-year forecast

Tied to revenue calc inputs · adjustable growth rate.

Annual growth %140%