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gtm-strategy

Skill file project-management/gtm/gtm-strategy/SKILL.md in borghei/Claude-Skills. Read the publisher’s upstream source.

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name: gtm-strategydescription: >  Integrated go-to-market strategy spanning ICP, motion, channels,  messaging, success metrics, and launch plan. Use when launching a  new product, entering a new segment, or auditing why an existing  GTM isn't working.license: MIT + Commons Clausemetadata:   version: 1.0.0  author: borghei  category: project-management  domain: go-to-market  updated: 2026-05-27  python-tools: gtm_strategy_validator.py  tech-stack: gtm, go-to-market, motion, launch, beachhead  tags:     - go-to-market    - icp    - channels    - messaging    - launch

GTM Strategy

A complete go-to-market strategy is the integrated cross-functional plan: ICP, motion, channels, messaging, success metrics, and launch sequence.

When to use this skill

  • New product launch (full product or major feature)
  • New segment entry (SMB → ENT; new geography; new vertical)
  • GTM refresh (current motion stalling)
  • Repositioning after pivot
  • Pre-fundraise GTM narrative for investors
  • Post-mortem on why a launch didn't take

The 7 components

  1. ICP (Ideal Customer Profile) — who specifically, why now
  2. Beachhead segment — first concentrated market
  3. Motion — PLG / sales-led / hybrid / channel-led
  4. Channels — how customers find + buy
  5. Messaging + positioning — what we say
  6. Success metrics — what we measure
  7. Launch sequence — what happens in what order

Clarify First

Before building the GTM strategy, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.

  • ACV / price point: determines the motion and channel mix (motion-ACV mismatch, e.g. sales-led on $50/mo, breaks unit economics).
  • ICP and beachhead segment: the one concentrated market to win first (drives targeting, channels, and messaging; "everyone" dilutes all seven components).
  • Self-serve readiness: can the product activate without a human (PLG vs sales-led/committee buying).
  • Launch trigger and timeline: what's launching and when (sets the T-90 → T+90 sequence).

Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.

Workflow

Step 1 — Define ICP precisely

  • Industry / vertical
  • Size band (employees / revenue)
  • Geography
  • Buyer persona (role, level)
  • Tech stack signals
  • Job-to-be-done
  • Trigger event (why now)

See project-management/gtm/ideal-customer-profile.

Step 2 — Pick the beachhead

Start narrow:

  • 1 segment, 1 vertical, 1 geography
  • Concentrated enough to develop reference customers
  • Reachable via clear channels
  • Big enough to learn from but small enough to dominate

Reference: Crossing the Chasm. Don't try to sell to everyone Day 1.

Step 3 — Pick the motion

MotionWhenCost structure
PLG (product-led)Self-serve product; low ACV ($0-$5K); strong activationLow CAC; high product investment
Sales-ledHigh ACV ($25K+); complex buying committeesHigh CAC; sales team needed
Marketing-led / inboundMid-ACV ($5K-$25K); content-drivenMedium CAC; content + ops team
Channel-ledWide distribution via partnersMedium CAC; partner program needed
Community-ledStrong category with passionate usersLong ramp; high ongoing investment
Hybrid (PLG + sales)PLG to capture; sales to expandMost modern SaaS; complex to coordinate

Don't try to run all motions Day 1.

Step 4 — Channels per motion

MotionPrimary channels
PLGWeb direct, SEO, viral, content, app stores
Sales-ledOutbound SDR, AE outbound, events, account-based
Marketing-ledSEO, paid, content syndication, webinar
Channel-ledPartner program, marketplace
Community-ledOpen source, community events, integrations

Step 5 — Messaging + positioning

  • Positioning: "[Product] is [category] for [target] who [JTBD], unlike [alternative]"
  • Hero message: outcome customers want (not feature)
  • Differentiation: clear "why us vs them"
  • Talk track per segment: different ICPs need different framing

Step 6 — Success metrics

MotionKPI focus
PLGSignups, activation, free-to-paid conversion, NRR
Sales-ledPipeline coverage, win rate, ACV, cycle time, NRR
Marketing-ledMQL → SQL conversion, CPA, content engagement
Channel-ledPartner-sourced revenue, partner activity

Set targets; track weekly; tune.

Step 7 — Launch sequence

  • T-90: ICP locked; positioning v1; channels chosen; team aligned
  • T-60: Sales/marketing collateral ready; pilot customers identified
  • T-30: Internal training; lighthouse customer commitments
  • T-7: Launch comms prepped; press / analyst briefed
  • T-0: Launch
  • T+30: Iterate based on early signal
  • T+90: GTM v2 incorporating learnings

Step 8 — Run gtm_strategy_validator.py

Audit GTM doc for: ICP specificity, motion fit, channel coherence, messaging clarity, metric definition, sequence realism.

python3 project-management/gtm/gtm-strategy/scripts/gtm_strategy_validator.py \
  --input gtm.json --format markdown

Decision frameworks

Motion fit by ACV

ACVLikely motion
< $1KPLG; consumer-style
$1K-$10KPLG-led; light sales-assist
$10K-$50KMarketing-led + inside sales
$50K-$250KSales-led with marketing support
$250K+Enterprise sales-led; long cycle

Cross these and economics break.

Beachhead vs broad

Going broad Day 1:

  • Diluted messaging
  • No reference customers
  • Sales motion thinly stretched
  • No moat in any segment

Beachhead first:

  • Win the segment
  • Build reference customers
  • Develop battle-tested motion
  • Then expand adjacent

Geoffrey Moore: cross the chasm one bowling pin at a time.

Channel-product fit

Each channel has product-fit assumptions:

  • SEO: long content; SERP-able problem
  • Paid: clear high-intent keywords; LTV > 2-3x CAC
  • Outbound: defined ICP; AE can articulate value in 30 seconds
  • Channel: partners economically incentivized; product fits their offering
  • Community: passionate users + room to participate
  • Viral: collaboration / sharing built into product

If channel-product fit is off, channel won't deliver regardless of effort.

Common engagements

"Help us launch product X in market Y"

  1. Confirm ICP precision (or sharpen).
  2. Pick beachhead segment.
  3. Choose motion based on ACV + product complexity.
  4. Map channels to motion.
  5. Draft positioning + messaging.
  6. Define success metrics + targets.
  7. Build T-90 → T+90 launch sequence.

"Our GTM is stalling — what's wrong?"

  1. Audit each component for clarity + execution.
  2. Common failures:
    • ICP too broad
    • Motion mismatch with ACV
    • Channels not delivering pipeline
    • Messaging not differentiated
    • Metrics not tracked
  3. Identify the breakpoint; fix one at a time.

"Should we move from PLG to sales-led?"

  1. Look at ACV trend: rising with enterprise = yes
  2. Look at pipeline: enterprise inquiries unanswered = yes
  3. Look at unit economics: PLG CAC payback < sales CAC payback?
  4. Plan hybrid: PLG capture + sales expansion (most common path)

Anti-patterns to avoid

  • ICP = "everyone." Diluted strategy.
  • Motion mismatched with ACV. Sales motion on $50/mo = unit economics broken.
  • Channels listed; not invested. Knowing channels doesn't activate them.
  • Generic messaging. "Faster, better, cheaper."
  • No success metrics. Can't tune what you can't measure.
  • Launch sequence = "ship and see." Predictable underperformance.
  • All motions at once. Try one; succeed before adding.

Scope & Limitations

In Scope:

  • A go-to-market strategy across seven components: ICP, beachhead segment, motion, channels, messaging and positioning, success metrics and launch sequence
  • Motion choice by ACV across PLG, sales-led, marketing-led, channel-led, community-led and hybrid
  • Channel mapping per motion, channel-product fit checks and KPI focus per motion
  • A T-90 to T+90 launch sequence
  • A strategy audit for ICP specificity, motion fit, channel coherence, messaging clarity, metric definition and sequence realism (gtm_strategy_validator.py)

Out of Scope:

  • Building and scoring the ICP in depth (see project-management/gtm/ideal-customer-profile/)
  • Marketing launch execution such as campaigns and content (see marketing/launch-strategy/)
  • Setting price and packaging (see business-growth/pricing-strategy/)
  • Sales operations, pipeline tooling and forecasting (see business-growth/revenue-operations/)
  • The cross-functional launch-day checklist (see project-management/execution/launch-playbook/)

Important Caveats:

  • gtm_strategy_validator.py audits a hand-written JSON document. Flags such as specific_enough and tested_with_customers are self-reported.
  • The ACV bands for motion fit are rules of thumb. They do not replace the team's own unit economics.
  • The tool uses no market data. Segment size, channel performance and competitor positioning come from the team's own research.
  • Beachhead choice, motion and budget stay leadership decisions, and the plan needs a refresh after launch data arrives.

References

  • references/gtm-components-deep.md — ICP, motion, channels, messaging deep
  • references/launch-sequence-playbook.md — T-90 → T+90 playbook
  • references/gtm-anti-patterns.md — common failures + fixes

Related skills

  • project-management/gtm/ideal-customer-profile — ICP definition
  • project-management/strategy-frameworks/business-model-canvas — model behind GTM
  • marketing/launch-strategy — marketing execution layer
  • business-growth/customer-success-manager — post-sale GTM
  • c-level-advisor/cro-advisor — sales / revenue strategy
  • c-level-advisor/cmo-advisor — marketing strategy
gtm-strategy by borghei · The Skill Leaderboard