Build · Assess & Decide · Analysis & Finance
Build a 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
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Cost20 credits
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Example
A sample of what this play produces. Your result is generated for your inputs.
Recommended Channelsearch engine optimization
| Channel | Cac | Ltv | Ltv Cac Ratio |
|---|---|---|---|
| search engine optimization | 22 | 362.5 | 16.48 |
| content marketing | 28 | 362.5 | 12.95 |
| community building | 45 | 362.5 | 8.06 |
| social and display ads | 65 | 362.5 | 5.58 |
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