Startup Go-to-Market

Systematic workflow for designing and executing market entry, launch, and growth.

Modern Best Practices (Jan 2026): Start from ICP + positioning, pick 1-2 channels to sequence, instrument the funnel end-to-end, use AI for execution (not strategy), align RevOps across sales/marketing/CS.

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When to Use

• Designing go-to-market strategy for new product
• Choosing between PLG and sales-led motion
• Planning product launches (soft, beta, ProductHunt, full)
• Defining ICP and channel strategy
• Implementing AI-powered GTM automation

When NOT to Use

• Positioning and messaging deep dive -> marketing-content-strategy (use startup-competitive-analysis for differentiation inputs)
• Competitive intelligence -> startup-competitive-analysis
• Fundraising strategy -> startup-fundraising
• Pricing and revenue models -> startup-business-models

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Quick Start (Inputs)

Ask for the smallest set of inputs that makes decisions meaningful:

• Stage: pre-PMF, early PMF, growth, scale
• Product and category: what it is, who uses it, and what "first value" looks like
• ICP and buyer: firmographics, pains, procurement constraints, economic buyer vs champion
• Pricing and economics: current/target ACV/ARPA, COGS drivers (include variable compute), payback constraints
• Motion constraints: self-serve possible, sales cycle expectations, implementation/onboarding complexity
• Channel constraints: budget, time, audience access (communities, lists, partnerships), geo, compliance limits
• Baseline metrics: traffic, signup/demo rate, activation, retention, win rate, sales cycle length, pipeline
• Team and tooling: who executes (founder/marketing/sales/CS), CRM + analytics stack

If numbers are missing, proceed with ranges + explicit assumptions and list what to measure next.

Workflow

1. Define ICP and the buying path

• Primary/secondary ICP, anti-ICP, trigger events, and an "activation" definition.
• Use assets/icp-definition.md to draft.

2. Align on positioning and proof

• If positioning is unclear, use startup-competitive-analysis to map alternatives + differentiation, then marketing-content-strategy to express it as messaging.

3. Choose the motion (PLG / sales-led / hybrid)

• Use the decision tree below for a fast cut.
• For details: references/plg-implementation.md and references/sales-motion-design.md.

4. Pick 1-2 channels to sequence (not parallelize)

• Use a bullseye-style test plan: quick tests, measure, double down.
• For execution details: references/channel-playbooks.md.

5. Define measurement and RevOps alignment

• Define shared lifecycle stages and the "one source of truth" for metrics (product + CRM).
• Ensure handoffs are measurable (e.g., PQL -> SQL routing rules and SLAs for hybrid).

6. Produce deliverables + operating cadence

• Draft GTM plan (assets/gtm-strategy.md) and launch plan (assets/launch-playbook.md).
• Run a weekly GTM review: 30 minutes on pipeline + funnel, 30 minutes on experiments, 30 minutes on decisions.

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Decision Tree

GTM QUESTION
  |-- "How do I reach customers?" -> Channel Strategy
  |-- "PLG or Sales-led?" -> Motion Selection
  |-- "How do I launch?" -> Launch Planning
  |-- "Who is my ICP?" -> Segmentation
  `-- "How do I scale?" -> Growth Loops

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GTM Motion Types

Motion	Description	Best For	Examples
PLG	Product drives acquisition, conversion, expansion	SMB, developers	Slack, Figma
Hybrid (PLG + Sales-Assist)	Product drives acquisition; sales assists conversion/expansion	Mid-market, higher ACV PLG	Atlassian, Notion
Sales-Led	Reps drive deals through outbound/inbound	Enterprise, complex sales	Salesforce
Community-Led	Community drives awareness and adoption	Developer tools, OSS	MongoDB
Partner-Led	Partners drive distribution	Enterprise, geographic expansion	Microsoft

Motion Selection Framework

ACV < $5K and self-serve possible?
  - yes: PLG (add sales-assist for expansion)
  - no: is buyer technical?
      - yes: developer/community-led (bottom-up)
      - no: sales-led

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ICP Components

Component	Questions	Example
Firmographics	Size, industry, geography	50-500 employees, B2B SaaS, US
Technographics	Tech stack, tools	Uses Salesforce, modern data stack
Pain indicators	Symptoms of problem	Growing support tickets
Success indicators	Signs of good fit	Strong product-market alignment

ICP Scoring

Factor	Weight
Budget available	20%
Problem severity	25%
Technical fit	15%
Decision timeline	15%
Champion identified	15%
Expansion potential	10%

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Channel Strategy

Category	Channels	Best For
Organic	SEO, content, social, community	Long-term
Paid	SEM, paid social, display	Fast, scalable
Outbound	Email, cold calls, LinkedIn	Enterprise, high ACV
Product	Viral, freemium, PLG	Self-serve

Channel Sequencing by Stage

Stage	Primary Channels
Pre-PMF	Founder sales, communities
Early	Content, outbound, founder network
Growth	Paid, SEO, partnerships
Scale	All channels optimized

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Measurement (Minimum Viable GTM Analytics)

• Prefer lifecycle + cohorts over vanity metrics. Always break down by ICP/segment + channel.
• Define a single funnel per motion (PLG vs sales-led) with clear stage definitions and owners.
• Track leading indicators (activation/retention, PQL, win rate) before "scale" decisions.

PQL (Product Qualified Lead) Score:

PQL = (Engagement * 0.4) + (Fit * 0.3) + (Intent * 0.3)

Product-Led Sales (Sales-Assist) Basics

Use when PLG brings users in, but conversion/expansion benefits from a human touch.

PQL -> SQL routing checklist:

• Define PQL triggers (events) and thresholds (e.g., 3 key actions in 7 days)
• Define disqualifiers (students, competitors, tiny companies, unsupported geo)
• Set an SLA for first touch (e.g., <24 hours for high-intent PQLs)
• Define handoff criteria to AE (PQL -> meeting booked, security/procurement requested)
• Instrument outcomes (PQL->meeting->pipeline->won) and review weekly

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Launch Types

Type	Goal	Timeline
Soft launch	Test, iterate	2-4 weeks
Beta launch	Build waitlist, feedback	4-8 weeks
ProductHunt	Awareness, early adopters	1 day + prep
Full launch	Maximum awareness	1-2 weeks

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Growth Loops

Loop	Mechanism	Example
Viral	User invites users	Dropbox referrals
Content	Content -> SEO -> Users	HubSpot
UGC	Users create content	YouTube
Paid	Revenue -> Ads -> Users	Performance marketing
Sales	Pipeline -> close -> revenue -> hiring -> more pipeline	Sales-led SaaS
Partner	Enable partners -> referrals -> deals -> partner revenue -> more partners	Cloud marketplaces

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Do / Avoid

Do

• Define activation as concrete "first value moment"
• Track leading indicators (activation, PQL, retention)
• Use AI for execution while humans own strategy
• Tier ICP based on fit + intent signals

Avoid

• Content spam without measurement
• "Do all channels" in parallel
• Vanity metrics without retention context
• Over-automating without human oversight
• Scaling paid before activation/retention is stable
• Treating benchmarks as targets without segmenting by ICP/channel

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Resources

Resource	Purpose
channel-playbooks.md	Detailed channel execution
sales-motion-design.md	Sales process + RevOps
plg-implementation.md	PLG execution + PQL frameworks
ai-gtm-automation.md	AI-powered GTM tools

Templates

Template	Purpose
gtm-strategy.md	Full GTM strategy document
launch-playbook.md	Launch planning
icp-definition.md	ICP documentation

Data

File	Purpose
sources.json	GTM resources

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Related Skills

Skill	Use For
startup-competitive-analysis	Market mapping, battlecards
startup-business-models	Pricing, unit economics
marketing-ai-search-optimization	GEO/AI search visibility for content-led GTM
marketing-social-media	Social channel execution
marketing-leads-generation	Lead acquisition

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What Good Looks Like

• One primary ICP with clear anti-ICP and measurable triggers (signals) for targeting.
• A motion decision with explicit economics (ACV, payback, touch model) and defined handoffs.
• One primary channel with a test plan, success metrics, and stop/pivot triggers.
• Instrumented funnel from source -> activation/value -> revenue/expansion (by segment + channel).
• A weekly operating cadence with a backlog of experiments and a written decision log.