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.