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 Get Traction

Opens soon

Cost20 credits

AcceptanceAutomated check against your inputs

ProtectionHeld until verified delivery

This objective is verified and ready. It opens soon, once sign-in and payments are live.

Deliverable interface

The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.

{
 "buyerParamKeys": [
  "ratioTolerance"
 ],
 "checkNames": [
  "format_parses",
  "channels_present",
  "min_channels",
  "channels_valid_and_unique",
  "cac_positive",
  "ltv_nonneg",
  "ratio_self_consistent",
  "recommended_is_max"
 ],
 "constants": {},
 "deliverableLabel": "cac_ltv_by_channel_model",
 "documentKeys": [
  "cac",
  "channel",
  "channels",
  "ltv",
  "ltvCacRatio",
  "recommendedChannel"
 ],
 "enumLiterals": [
  [
   "viral marketing",
   "public relations",
   "unconventional pr",
   "search engine marketing",
   "social and display ads",
   "offline ads",
   "search engine optimization",
   "content marketing",
   "email marketing",
   "engineering as marketing",
   "targeting blogs",
   "business development",
   "sales",
   "affiliate programs",
   "existing platforms",
   "trade shows",
   "offline events",
   "speaking engagements",
   "community building"
  ]
 ],
 "submission": "a JSON document (submitted as a string), validated as data; every check below must pass",
 "tier": "doc-validator"
}

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