CAC & ROAS Benchmark skill: what it does and how to install it
Computes CAC, ROAS, MER and payback from advertising spend data, then judges spend health against break-even, history and external benchmarks.
Summary generated from the skill's documentation.
Install
$ npx skills add mbfinotti/advertising-skills --skill cac-roas-benchmarkRun it in a terminal. If your agent is already running, start a new session so it picks the skill up.
About this skill
What it does. Computes labelled CAC and ROAS-family metrics from spend, customer, revenue and margin data. It compares them with business break-even, trailing history and provenance-labelled external benchmarks, then returns healthy, watch, unhealthy or insufficient evidence.
When to use it. For B2B, SaaS, ecommerce or blended checks on CAC, ROAS, MER, payback or advertising profitability. It does not set guardrails, reallocate budgets, pace spend or diagnose account performance.
History
Repo stars
0
Tracking since . A chart appears once there are 7 days of data.
Stars are counted for the whole repository, which holds 18 skills.
Installs
3.1k
Tracking since . A chart appears once there are 7 days of data.
Installs via skills.sh
Similar skills
- Ad Spend GuardrailsSets paid-media CAC, ROAS, cash and kill-switch guardrails from contribution margin, payback and runway, with owners, overrides and restart rules.
- Ad Budget PacingTracks campaign or account spend against a period budget across ad platforms, flags meaningful under- or over-pacing, and calculates the daily correction required.
- Ad Platform SelectionSelects paid advertising channel families by business economics, audience, funnel stage, budget and allowable CAC, then defines a focused test plan.