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.

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

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

Define ICP and the buying path

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

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.

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.

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.

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).

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.

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

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

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% |

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 |

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

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 |

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 |

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

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 |

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 |

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.