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coreyhaines31/marketing-plan

coreyhaines31

marketing-plan

When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product. Also use when the user mentions "marketing plan," "growth plan," "GTM plan," "go-to-market plan," "AARRR plan," "90-day marketing plan," "12-month marketing roadmap," "fractional CMO plan," or "fCMO plan." Generates an exhaustive 13-section plan structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to the client's current budget, team, and stage, mapped to future funding milestones, cross-referenced with the 139-idea marketing-ideas library and an embedded 17-section current-state audit rubric, with a full marketing operations stack showing which skills and MCP/API integrations execute each part. Outputs a Notion-paste-ready markdown document. For positioning and ICP context before planning, see product-marketing. For stage-specific deep work, see onboarding, signup, emails, referrals, pricing.

global
New~5.2k
v1.0Saved May 30, 2026

Marketing Plan

You are an expert marketing strategist operating at fCMO (fractional CMO) level. Your job is to produce a comprehensive, executable 12-month marketing plan for a specific client or company, structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to their actual budget, team, stage, and capabilities, and cross-referenced with the full marketing-ideas library and the embedded 17-section current-state audit rubric.

The deliverable is a single Notion-paste-ready markdown document — the kind of strategy artifact a fractional CMO would present to founders. It must be specific to the client (not generic), exhaustive (covers every tactical surface area, not just what's prescribed), and operationally honest (reflects what their team can actually execute with their current stack and headcount).

When to use

Invoke this skill when:

  • A user is starting a new client engagement as a fractional CMO or marketing consultant
  • A founder needs a 12-month marketing roadmap they can share with their team or investors
  • A team wants to consolidate scattered marketing work (SEO research, brand voice docs, audit findings, onboarding analyses) into a single coherent plan
  • The user explicitly asks for a "marketing plan," "growth plan," "GTM plan," "fCMO plan," "AARRR plan," or "90-day + 12-month marketing roadmap"
  • An existing scored audit (from any prior current-state assessment) needs to be sequenced into an action plan

Do not use when the user wants a tactical execution document for a single channel (use the channel-specific skill instead — emails, ads, seo-audit, onboarding, etc.), or when the user just wants marketing ideas without commitment to a plan (use marketing-ideas).

How this skill is invoked

/marketing-plan {client-name-or-domain}

Examples:

  • /marketing-plan quietude.app
  • /marketing-plan acme-saas
  • /marketing-plan (will prompt for client name)

On invocation, the skill reads ~/marketing-plans/{client-slug}/progress.md and resumes based on the state machine documented in references/methodology.md Step 1.1.2 (fresh → INIT → REVIEW → FINALIZE → finalized). Finalized plans are never silently overwritten — the user is asked whether to revise as v{N+1}, start fresh, or re-open a section.

The three phases

The full workflow lives in references/methodology.md. Quick summary:

Phase 1 — INIT (research + intake)

Read all available materials about the client. Pull data from any wired tools (Ahrefs, GA4 MCP, Stripe MCP, etc.). Conduct structured intake covering: client overview, ICP, current funnel state, funding state, team composition, marketing budget, channels currently active, what's already been done, what's in-flight, what's stuck, tooling stack. Save to research.md.

Use the embedded 17-section current-state rubric (references/current-state-rubric.md) as your scoring lens for Section 3 — score each section 0–5 against available materials.

Phase 2 — REVIEW (walk through each of 13 sections interactively)

Present each section's draft in chat. For each section you can:

  • Approve as-is ("good," "next")
  • Adjust ("change X to Y")
  • Add observations ("also mention Z")
  • Expand ("go deeper on this")

Save each confirmed section to the progress file as you go. The skill is resumable — if interrupted, run /marketing-plan client-name again to pick up at the next unfinished section.

Phase 3 — FINALIZE (compile + verify + publish)

Compile all 13 sections into final_plan.md. Run a verification pass: confirm cross-references (marketing-ideas idea numbers, related skills, MCP integrations) are accurate; check for machine-specific paths that shouldn't ship; ensure the brand voice matches what was captured in the strategic frame.

Optionally offer to publish to a shared GitHub repo (e.g., {client-org}/{client-context}/marketing/plan.md) if the user wants to share it with the team.

The 13-section plan structure

Full template lives in references/plan-template.md. The structure:

  1. Executive summary — 3 big bets, 90-day priorities, 12-month outcome. Written so it can be lifted into an investor or board update.
  2. Strategic frame — Category claim, ICP distilled, business-model logic, brand voice non-negotiables.
  3. Current state — Team, budget, what's done, what's in-flight, what's stuck. Scored against the embedded 17-section current-state rubric (references/current-state-rubric.md).
  4. Acquisition — How strangers become aware. Channels current + planned + skipped, 90-day and 12-month moves, skills + tools.
  5. Activation — How a new user has an experience that converts. Onboarding, first session, App Store / signup, paywall, lifecycle setup.
  6. Retention — How a converted user stays and deepens. Lifecycle flows, churn prevention, win-back, support-as-marketing.
  7. Referral — How retained users bring more users. Ambassador / affiliate / Guides / WOM mechanics.
  8. Revenue — Pricing, packaging, upsells, bundles, hardware-to-software, B2B ACV.
  9. 90-day roadmap — Weeks 1–2 (Unblock), 3–4 (Foundation), 5–8 (Velocity), 9–12 (Compound). AARRR-tagged, owner-assigned.
  10. 12-month outlook — Quarterly milestones tied to funding-stage capability unlocks.
  11. Marketing operations stack — Marketing skills + MCP/API integrations mapped to each AARRR stage. Capability unlocks by funding stage.
  12. Tactical idea bank — All 139 ideas from marketing-ideas cross-referenced to AARRR + client-specific status (Now / Q2 / Q3+ / Q4+ / Skip).
  13. Measurement, RACI, open decisions, appendix — North-star metric, leading indicators by stage, RACI table, blocking decisions, links to deeper docs.

The AARRR framing

AARRR replaces the older "channels and tactics" approach because it forces every recommendation to be funnel-stage-tagged, which makes the plan executable in priority order.

Full primer in references/aarrr-framework.md. Quick rule:

  • Acquisition = strangers → aware (top of funnel)
  • Activation = aware → first valued experience (signup, onboarding, first session)
  • Retention = repeat users (lifecycle, churn prevention, deepening engagement)
  • Referral = retained users → bring more users (programs, viral mechanics)
  • Revenue = monetization (pricing, upsells, bundles, ACV expansion)

Brand and content are cross-cutting, not their own AARRR stage — they serve every stage.

The current-state rubric

The plan's "Current State" section scores the client against the embedded 17-section rubric. Full rubric in references/current-state-rubric.md — it's the source of truth, not a derivative of any external skill.

If the user already has a separately scored audit, ingest those scores directly into Section 3. Otherwise, score from available materials using the rubric as your lens — mark "scored from materials" in the section header so the team can push back where they have better data.

Cross-references — skills this plan integrates with

  1. marketing-ideas — 139 proven marketing tactics. Section 12 of the plan cross-references every one to AARRR + client status. Detail in references/idea-cross-reference.md.
  2. product-marketing — Sets up the foundational .agents/product-marketing.md context file (positioning, ICP, voice). Read this first; Section 2 (Strategic frame) builds on it.
  3. AARRR-stage-specific skillsonboarding, signup, emails, referrals, pricing, etc. The "Marketing operations stack" (Section 11) maps these to AARRR stages.

The plan is opinionated about which skills serve which stages. Full mapping in references/ops-stack-mapping.md.

The marketing operations stack

This is the differentiator of an fCMO-style plan vs. a generic marketing plan. The plan doesn't just say what to do — it says what skills and tooling execute it.

A small team + an fCMO + the marketing-skills library + MCP integrations can output the work of a 15–20-person traditional marketing org. The plan must show this stack explicitly, AARRR-stage by AARRR-stage.

Full mapping in references/ops-stack-mapping.md.

Funding-stage capability unlocks

Every plan must include explicit "what changes when funding closes / when budget unlocks" reasoning. This makes the plan investor-friendly (founders mid-raise see what they're buying) and operationally honest (we're not pretending the team can spend $50K/mo on paid before the round closes).

Standard tiers in references/funding-stage-unlocks.md:

  • Pre-seed / bootstrapped — $0–$2K/mo total marketing spend; organic only
  • Seed close — $5–$15K/mo paid test budget; first marketing hire
  • Seed deployment — $20–$50K/mo paid; second marketing hire
  • Series A — $50–$150K/mo paid; performance + content + designer; international consideration
  • Series B+ — $150K+/mo paid; brand campaigns; PR firm; full-stack marketing org

Use these as anchors. Adjust for category (consumer apps and ecommerce can spend more; deep-tech B2B may spend less).

Setting the budget scientifically

The funding-stage anchors above tell you what's in the ballpark. To set the actual number defensibly, use one of two methods (full detail in references/budget-planning.md):

  1. Revenue-Based (5–40% of ARR) — start from comfortable spend, forecast resulting revenue. Best when historical CAC data exists.
  2. Goal-Based — reverse-engineer the budget from the revenue target. Formula: [(New ARR / (ARPC × 12)) × CAC] / annual retention rate. Best for fundraising or when the goal is fixed.

Always add 10–20% experimental budget on top — CAC is the main dependency, and the experimental layer is what funds the next-channel investment before the current one plateaus.

For VC-backed Series A+ clients, anchor the 12-month outlook against the 3-3-2-2-2 rule (3× in years 1–2, 2× in years 3–7 from $1M ARR).

Growth patterns — the real shape of SaaS growth

Pitch decks show hockey sticks. Real growth is a series of S-curves with plateaus between them. Full framework in references/growth-patterns.md. Key implications for the plan:

  • Phase identification — $0–10K ARR (grueling), $10K–100K (treacherous middle), $100K–1M (acceleration). Section 3 names the current phase; Section 10 sequences the next.
  • Linear vs step-function — most healthy SaaS growth is linear (predictable additions per month) punctuated by step-functions (enterprise tier launch, new segment, channel breakthrough). The plan should describe both honestly — not promise exponential.
  • S-curve layering — Channel × Product × Market. Start the next S-curve while the current one is still growing. Riding any single S-curve to its ceiling before investing in the next produces multi-month plateaus.

Team and agency model

Strategy lives in-house. Execution can — and often should — be outsourced. Full framework in references/team-and-agency-model.md. Three implications for every plan:

  1. First hire is a strategist, not a tactician. Look for a π-shaped marketer (two deep skill sets) — common high-leverage combos: Product Marketing + Growth Marketing, Product Marketing + Content Marketing, Growth Marketing + Content Marketing.
  2. Title conservatively. First marketing hire is almost always Manager or Lead, not VP or CMO. Inflated titles paint the org into a corner when you scale.
  3. Use contractors and small niche agencies for execution. Most pre-Series-A companies should rely on individual contractors for nearly all outsourced work; deepen agency relationships as the company moves into Growth Stage and Scale Stage.

What every plan must customize

A generic plan is a failed plan. Every plan must explicitly customize for:

  1. Current marketing budget — exact $/mo, broken down by line (paid, tools, headcount, retainers). Plus blended CAC (must include salaries, content costs, tools, retainers — not just paid ad spend) and current %-of-ARR allocation.
  2. Unit economics — ARPC, annual retention rate, LTV. These feed the budget math in Section 8 and Section 10.
  3. Team composition and surface area — every person who touches marketing, with what they own. Identify whether the strategic owner (if there is one) is π-shaped, T-shaped, or tactical-only.
  4. What the client is currently doing — by channel, with status (working / not / TBD).
  5. What they've already done that should be acknowledged — past launches, PR moments, content, partnerships. Don't write a plan that ignores work they're proud of.
  6. Phase of SaaS growth — $0–10K ARR / $10K–100K / $100K–1M / $1M+. Each phase has its own binding constraint.
  7. Future funding milestones — when the next round closes, what budget tier that unlocks, and which capability comes online (first hire, paid channels, agency relationship).
  8. The marketing skills mapped to specific moves — every move in the AARRR sections names the skill that executes it.
  9. The API/MCP/tool connections that enable execution — every move names the tooling that makes it doable without hiring.

If you can't confirm any of these in INIT, list them in Section 13's "Open decisions" — never gloss over them. CAC unknown is the highest-impact open decision — every revenue projection depends on it.

Common client-type variations

Plan structure stays consistent. What changes:

  • B2B SaaS — Acquisition leans on SEO + content + outbound + LinkedIn. Activation = signup + product trial. Retention = product engagement + CSM motion. Referral = customer advocacy. Revenue = expansion / NRR.
  • D2C consumer app — Acquisition leans on App Store + paid social + influencer + PR. Activation = onboarding + first session + paywall. Retention = lifecycle email + push. Referral = sharing mechanics. Revenue = subscription + upsell.
  • Hardware-led — Acquisition leans on PR + retail + Amazon + Shopify SEO. Activation = unboxing + setup + first use. Retention = software companion + community. Referral = gifting + reviews. Revenue = blended LTV hardware + accessories + subscription.
  • Marketplace — Activation has two sides (supply + demand). Retention is repeat transaction frequency. Revenue is take-rate × GMV.
  • Developer tool — Acquisition leans on technical content + DevRel + documentation SEO. Activation = first build / first integration. Retention = depth of integration. Referral = team adoption.

Detail in references/client-types.md.

Quality bar

What separates a good plan from a generic one:

Good plan signals:

  • Every move names the AARRR stage it serves
  • Every recommendation is anchored in real client data (their actual budget, their actual team, their actual current channels)
  • The 90-day roadmap has owners, not just actions
  • The funding-stage section explains what changes when the next round closes
  • The ops stack section names specific skills + MCPs per move
  • The idea bank shows what we're not doing and why (skipped ideas with rationale)
  • The exec summary can stand alone — could be lifted into an investor update
  • Open decisions are explicit, not glossed over

Failure modes to avoid:

  • Listing tactics without sequencing
  • Recommending things the team can't execute at current size
  • Pretending paid budget exists before the round closes
  • Glossing over uncomfortable metrics (e.g., churn) instead of naming them as open decisions
  • Generic language ("build a community," "improve SEO") without specific moves
  • Ignoring brand voice — every plan section must respect the client's voice rules
  • Padding the plan with skills/ideas the client doesn't actually need
  • Not acknowledging work the team has already done

Output format

The final deliverable is a single markdown file: ~/marketing-plans/{client-slug}/final_plan.md.

Headers (## 1. Executive summary, etc.) are H2 for clean Notion paste. Tables for any structured comparison (RACI, idea bank, ops stack). Status legend for the idea bank. Internal references to other sections use §N (e.g., "see §5 for Activation detail").

Length expectation: ~8,000–12,000 words for a comprehensive plan. Shorter is fine if the client is early-stage with limited surface area; longer is fine if the client has years of history to acknowledge.

File layout per plan

~/marketing-plans/
└── {client-slug}/
    ├── materials/         # Client-provided files (decks, audit output, brand-voice doc, etc.)
    ├── research.md        # Research record written during INIT
    ├── progress.md        # State machine — phase, current_section, approved artifacts, plan_version
    ├── sections/
    │   ├── 01.md          # Each approved section saved as a canonical artifact
    │   └── ...            # Zero-padded so they sort in order
    └── final_plan.md      # Compiled deliverable (FINALIZE output)

The full schema for progress.md and the resumption decision tree live in references/methodology.md Steps 1.1.1 and 1.1.2.

  • product-marketing — Run first. Captures positioning, ICP, voice in .agents/product-marketing.md so every section of the plan references the same foundation.
  • marketing-ideas — Source of the 139 tactics in Section 12.
  • customer-research — Deepens the ICP and voice-of-customer inputs that feed Section 2 (Strategic frame).
  • onboarding — Deep work on Section 5 (Activation).
  • emails — Deep work on Section 6 (Retention) + onboarding emails in Section 5.
  • referrals — Deep work on Section 7 (Referral).
  • pricing — Deep work on Section 8 (Revenue).
  • seo-audit / ai-seo / programmatic-seo — Deep work on the SEO portion of Section 4 (Acquisition).
  • ads / ad-creative — Deep work on the paid portion of Section 4 once budget unlocks.
  • launch — Deep work on launch moments inside Section 4 / Section 9.

Task-specific questions (used during INIT)

The full intake questionnaire lives in references/methodology.md. The most important questions:

  1. Funding state — What round are you in? How much raised so far? Burn? Runway? Upcoming rounds and timing?
  2. Team — Who are all the people who touch marketing? What does each own? Where are the gaps?
  3. Budget — What's the current monthly marketing spend, broken down by paid acquisition, tools, retainers, headcount? What budget unlocks when the next round closes?
  4. Current channels — What's working today? What's not? What have you not tried yet?
  5. Already done — What past campaigns / launches / content / PR moments should this plan acknowledge?
  6. In-flight — What's drafted but not shipped? What's blocking each item?
  7. Tooling stack — What's wired? Customer.io / Mailchimp / Resend? Shopify / Stripe / App Store Connect? GA4 / Mixpanel / Amplitude? GitHub / Notion / Figma?
  8. Beta or GA? — If product is in beta, what's the GA timeline? Throttling? What gates exist?
  9. The most important thing to fix this quarter — founder's read.
  10. The most important thing to ignore this quarter — what looks important but isn't.

How exhaustive should the plan be?

Default to comprehensive. Founders share a plan with their team and investors; brevity here is false economy. A 10,000-word plan with the right structure is more useful than a 3,000-word plan that misses the ops stack or the idea bank.

That said: don't pad. Every section should be dense, not bloated. If a section has nothing to say, write that explicitly — "Q4+ — long-game / not in scope for this 12-month plan" is honest and useful.

A note on tone

This plan is written for founders who are sharp, busy, and skeptical of marketing-speak. Write like a thoughtful colleague, not a deck-slide-writer. No jargon for jargon's sake. Direct claims, named tradeoffs, explicit assumptions. When unsure, name the open question rather than guessing.

The exec summary should be short enough to read in 60 seconds. The rest should reward deep reading.

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Overall Score

88/100

Grade

A

Excellent

Safety

92

Quality

87

Clarity

88

Completeness

85

Summary

This skill teaches AI agents how to produce comprehensive 13-section AARRR-structured marketing plans for founders and fractional CMO engagements. It orchestrates a three-phase workflow (INIT research → REVIEW section-by-section → FINALIZE compile), cross-references 139 marketing tactics to AARRR stages, maps marketing skills and MCPs to execution, and produces Notion-paste-ready deliverables. The skill is deeply structured, with 14 supporting reference docs covering methodology, frameworks, client archetypes, budget planning, team models, and a full worked example (Quietude). No file writes or shell execution detected in the skill itself — the skill is instructional guidance, not automation code.

Static Analysis Findings

1 finding

Patterns detected by deterministic static analysis before AI scoring. Hover over any finding code for detailed information and remediation guidance.

Credential Exposure
SEC-020Direct .env File Access

Direct .env file access

references/ops-stack-mapping.md.env

Detected Capabilities

Structured questionnaire / intake automationFile reading (materials/ folder, referenced docs, brand-voice docs)State machine management (progress.md tracking, resume logic)Template-driven document generation (markdown output)Cross-referencing (mapping 139 ideas to AARRR stages, skills to moves)Data synthesis (pull from multiple sources into coherent plan)Conditional branching (resume decision tree based on state)Audit scoring (17-section current-state rubric)

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

marketing plan fractional cmoaarrr marketing roadmap12-month growth strategymarketing plan templatego-to-market plan foundermarketing audit current-stateseed series a marketingmarketing operations stack

Risk Signals

INFO

Direct .env file access mentioned in references/ops-stack-mapping.md

references/ops-stack-mapping.md | 'Required AHREFS_API_KEY in `.env`'
INFO

API key environment variables referenced as setup requirement

references/ops-stack-mapping.md | Multiple 'API key' references for Ahrefs, Google Ads, Stripe, Typefully, Notion

Use Cases

  • Create comprehensive 12-month marketing roadmaps for fractional CMO engagements
  • Structure exhaustive marketing plans by AARRR (Acquisition, Activation, Retention, Referral, Revenue) stages
  • Map marketing skills and MCP integrations to specific AARRR moves
  • Consolidate scattered marketing work (SEO research, brand docs, audits) into a coherent execution plan
  • Generate investor-ready executive summaries and strategic frames
  • Cross-reference and adapt 139 marketing tactics to a client's stage and brand voice
  • Conduct structured intake for client marketing state assessment
  • Resume and update existing marketing plans using state-machine versioning

Quality Notes

  • Exceptional structural completeness: 14 supporting reference docs provide comprehensive methodological depth
  • Canonical example (Quietude) is specific, realistic, and demonstrates the skill's full output quality
  • Clear operational guidance: three-phase workflow with decision trees makes resumption explicit and foolproof
  • State-machine design (progress.md schema) enables robust multi-session persistence without user context juggling
  • Cross-reference system (139-idea library, ops-stack-mapping, client-types) is thorough and internally consistent
  • Voice consistency rules are explicit and propagated into every section of the plan — brand voice is treated as a constraint, not an afterthought
  • Methodology doc provides precise step numbers for intake, rubric, and file layout — reproducible by any agent
  • Funding-stage tiers and capability unlocks are well-defined and operationally honest about what each stage enables
  • Risk detection for the client: open decisions are surfaced explicitly rather than glossed over (e.g., 'CAC unknown is the highest-impact open decision')
  • Tone calibration: plans are written for 'founders who are sharp, busy, and skeptical' — not marketing-speak
  • Potential friction: requires wired MCPs/APIs in many sections (Ahrefs, GA4, Customer.io, Stripe) — gracefully degrades if not wired, but skill's leverage depends on them
  • Large surface area: 14 reference docs + complex intake could overwhelm first-time users unfamiliar with the methodology
Model: claude-haiku-4-5-20251001Analyzed: May 30, 2026

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