Build · Assess & Decide · Analysis & Finance
CAC and LTV by-channel comparison model
I get a CAC-and-LTV comparison across my candidate channels with a recommended channel that follows from the numbers, so the pick is grounded in unit economics rather than gut feel.
You receive: A JSON object { channels: [{ channel, cac, ltv, ltvCacRatio }], recommendedChannel } comparing channel unit economics.
Part of Distribution
Example
A sample of what this play produces. Your result is generated for your inputs.
- Recommended Channel
- Search engine optimization
| Channel | Cac | Ltv | Ltv Cac Ratio |
|---|---|---|---|
| Content marketing | 32 | 360 | 11.25 |
| Search engine optimization | 24 | 360 | 15 |
| Community building | 40 | 384 | 9.6 |
| Engineering as marketing | 48 | 360 | 7.5 |
| Targeting blogs | 60 | 330 | 5.5 |
Opens soon
Cost50 credits
ProtectionSpent when the run starts · returned only if STUD is at fault
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