claude

marketing-operations

Marketing Operations specialist team — agents (marketing-ops-lead, demand-gen-funnel-analyst, attribution-analytics-specialist, martech-campaign-architect), skills, templates, commands, an advisory hook, best-practice rules, and a research-grounded knowledge bank. A marketing-ops team for a CMO, demand-gen analyst, or founder accountable for pipeline contribution and CAC efficiency — it reads the MQL→SQL→opp→win funnel as a system, states the attribution model before any number, gates spend on LTV:CAC and payback, and reports revenue contribution over lead volume. Inherits ravenclaude-core protocols.

9 on GitHubby Matt Corbettv0.2.2MITupdated today
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Plugin marketing-operations from marketplace ravenclaude in mcorbett51090/RavenClaude. Commands read from the repo's manifest — today.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (6)

  • audit-attribution-data

    Audit data hygiene, dedup, and UTM/tracking integrity before trusting any funnel or ROI number. Reach for this first on any new dataset.

  • content-engine

    Run content as a system — brief against search intent, build topic clusters around pillar pages, plan distribution, and measure leading vs lagging signals. Reach for this on a content-strategy or SEO-content question.

  • diagnose-funnel

    Diagnose MQL→SQL→opp→win conversion stage-by-stage — find the leaking stage before adding lead volume. Reach for this on a funnel question.

  • evaluate-channel-mix

    Evaluate channels on contribution and marginal ROI under a stated attribution model — not average ROI or lead count. Reach for this on a channel or budget question.

  • read-cac-ltv

    Read LTV:CAC and CAC-payback to gate acquisition spend on unit economics, not lead count. Reach for this on a CAC or sustainability question.

  • size-demand

    Back-solve the lead volume a win target requires through each stage conversion. Reach for this on a 'how many leads' question.

Slash commands (5)

  • /marketing-operations:audit-attribution-data

    Audit data hygiene, dedup, and UTM/tracking integrity before trusting any funnel or ROI number. Reach for this first on any new dataset.

  • /marketing-operations:diagnose-funnel

    Diagnose MQL→SQL→opp→win conversion stage-by-stage — find the leaking stage before adding lead volume. Reach for this on a funnel question.

  • /marketing-operations:evaluate-channel-mix

    Evaluate channels on contribution and marginal ROI under a stated attribution model — not average ROI or lead count. Reach for this on a channel or budget question.

  • /marketing-operations:read-cac-ltv

    Read LTV:CAC and CAC-payback to gate acquisition spend on unit economics, not lead count. Reach for this on a CAC or sustainability question.

  • /marketing-operations:size-demand

    Back-solve the lead volume a win target requires through each stage conversion. Reach for this on a 'how many leads' question.

Subagents (4)

  • attribution-analytics-specialist

    Use this agent for attribution-model choice, channel ROI, CAC/LTV economics, payback, and marginal-ROI mix decisions. NOT for funnel/lead-scoring mechanics (route to demand-gen-funnel-analyst) or martech/data plumbing (route to martech-campaign-architect).

  • demand-gen-funnel-analyst

    Use this agent for the MQL→SQL→opp→win funnel, stage conversion, dwell/velocity, and lead-scoring validation. NOT for attribution/ROI (route to attribution-analytics-specialist) or martech/data architecture (route to martech-campaign-architect).

  • marketing-ops-lead

    Make the marketing engine legible. The orchestrator.

  • martech-campaign-architect

    Use this agent for the martech stack, UTM/tracking design, data hygiene/dedup, lead routing, and campaign instrumentation. NOT for funnel conversion analysis (route to demand-gen-funnel-analyst) or attribution-model/ROI decisions (route to attribution-analytics-specialist).

Hooks (1)

  • PostToolUse

    /usr/bin/env -u BASH_ENV -u ENV -u SHELLOPTS -u BASHOPTS -u LD_PRELOAD -u LD_LIBRARY_PATH -u LD_AUDIT -u DYLD_INSERT_LIBRARIES -u DYLD_LIBRARY_PATH -u PYTHONPATH -u PYTHONSTARTUP PATH=/usr/local/bin:/

View source on GitHub mcorbett51090.github.io

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