mbfinotti/advertising-skills
cac-roas-benchmark
Compute a business's CAC and ROAS family metrics from real spend and outcome data, then judge whether the spend is healthy against three references - the business's own break-even, its own trailing history, and provenance-labelled external benchmarks - returning healthy, watch, unhealthy, or insufficient evidence. Use whenever the user asks whether their CAC is too high, whether a ROAS is good, what ROAS to aim for, whether ads are profitable, or mentions MER, blended CAC, payback period, or a spend health check - even if they never say 'benchmark'. Covers B2B/SaaS (cost per SQL, cost per closed-won, cohort lag) and B2C/ecommerce. Do NOT use to set those thresholds as policy - use mbfinotti/advertising-skills@ad-spend-guardrails instead.
Installation
npx skills add https://github.com/mbfinotti/advertising-skills
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured…
1.1K installsGolang benchmarking, profiling, and performance measurement. Use when writing, running, or comp…
263 installs用五重过滤法寻找值得模仿的对标,并排除主体差异造成的噪音。用户要求找对标、选择模仿对象或分析竞…
96 installsUse this skill to measure performance baselines, detect regressions before/after PRs, and compa…
62 installsUse when the user asks to make something faster, try many variants, run recursive optimization,…
64 installs>- Use after competitive-platform-analysis has produced a tiered competitor set. Scores each co…
63 installsAlso in this package
Other skills from mbfinotti/advertising-skills · top by installs.
npx skills add mbfinotti/advertising-skills
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.