Executive dashboard
Proposed, Base
Key outcomes
Scenario canvas
Proposed
Submitted- Two-year value
- Payback
- Revenue
- Net LTV/CAC
Extended cap
Submitted- Two-year value
- Payback
- Revenue
- Net LTV/CAC
Likely counter
Submitted- Two-year value
- Payback
- Revenue
- Net LTV/CAC
Working scenarios
Custom
Two-year value + Net LTV/CAC
Behavior driver
Deal lever
Deal levers
| Lever | Selected | Reference | Two-year value at reference term |
|---|---|---|---|
| MDM revenue share | |||
| Payment cap | |||
| MDM billing fee | |||
| Funded trial |
Modeler dashboard
Proposed, Base
Operating outcomes
Two-year value + Net LTV/CACPayment capQuit after first use
Monthly detail
| Metric |
|---|
Verification
Answer key
Workbook parity
Metric sources
| Metric | Workbook source | State | Check |
|---|
Value Story
01
Device reach
ChatGPT reaches people through new devices and software updates.
02
First use
Reach becomes active interest only when a new user tries ChatGPT.
Unit handoff: devices to people
03
Free-user behavior
People who stay become retained monthly users, not a cumulative audience.
04
Five behavioral buckets
The model separates five populations because their economics differ.
Deal-end snapshot
New free users
Existing free users
Existing subscribers
Likely-anyway subscribers
Deal-caused subscribers
05
Conversion
Only workbook-defined signup paths become counted subscribers.
06
Retained subscribers
Cohorts turn signup flows into surviving subscriber stock.
Unit handoff: signup flow to period-end stock
07
Revenue and two-year P&L
Subscriber stock becomes revenue, then costs, then cash value.
Unit handoff: subscribers to dollars
08
LTV/CAC and decision
Unit economics and sensitivity determine negotiating room.
Selected scenarioReference scenario